Course Descriptions

Engineering Core
Aerospace and Mechanical Engineering
Biomedical Engineering
Manufacturing Engineering
Electrical and Computer Engineering
RELATED COURSES

The following key is used to designate the core courses and departmental courses.

EK Engineering core

AM Aerospace and Mechanical Engineering

BE Biomedical Engineering

MN Manufacturing Engineering

SC Electrical and Computer Engineering

The course number indicates the course's level of difficulty. Courses at the 500 and 600 levels are open to both undergraduate and graduate students; those listed in this bulletin are approved for both MS and PhD credit. Graduate students in these courses are often expected to complete extra work in the form of special projects. Students should consult the course instructor about any special requirements.

Other course levels are as follows:

700–899 Primarily for graduate students

900–999 For graduate students only

Credits are awarded on the semester-hour basis. A credit requires three to four hours per week of an average student's time. The distribution of that time between class activities (such as lecture, recitation, laboratory, field trips, etc.) and outside preparation varies from course to course.

Class denotes periods of classroom work per week, including lecture, recitation, class discussion, demonstration, or combinations of these.

Pract denotes periods of practicum work per week, including laboratory, shop, studio, drafting room, field trips, etc.

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Engineering Core

ENG EK 500 Probability with Statistical Applications

ENG EK 520 Computer-Aided Design and Manufacture

Prereq: junior or senior standing, or consent of instructor. Introduction to computer-aided design and manufacturing (CAD/CAM). Topics include solid modeling, manufacturing databases, process monitoring and control, process planning and optimization, reliability and quality control, testing, group technology, and flexible manufacturing. Projects selected from various engineering areas. Includes lab with extensive use of ProE. 4 cr.

ENG EK 697E Graduate Part-time Co-op Experience

Prereq: acceptance into the Co-operative Education Program. Students work part-time, as defined by their employing company, while registering for 8–11 credits. Registration for 12 or more credits requires the written approval of the director. 0 cr.

ENG EK 698E Graduate Co-op Experience

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Aerospace and Mechanical Engineering

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ENG BE 509 Quantitative Physiology of the Auditory System

Prereq: ENG BE 200, CAS BI 315, and ENG BE 401 or permission of the instructor. Introduction to the anatomy, acoustics, and physiology of the mammalian auditory pathways from a systems perspective including implications for hearing aid and prosthetic design. Topics include measuring sound and microscopic motion, head-related transfer function, middle ear and cochlear mechanics, hair cell transduction, binaural processing in the brainstem and midbrain, auditory thalamic and cortical structure and function. 4 cr.

ENG BE 511 Biomedical Instrumentation

Prereq: ENG SC 412, ENG BE 402. Physiological signals, origin of biopotentials (ECG, EMG, EEG), biomedical transducers and electrodes. Biomedical signal detection, amplifications and filtering. Analog front-ends of biomedical instruments. Electrical safety in medical environment. Laboratory experiments supplement lectures. 4 cr.

ENG BE 512 Biomedical Instrument Design

Prereq: ENG BE 511, ENG SC 311, and ENG SC 412 or equivalent. An introduction to techniques for the design of biomedical instrumentation including sensors and their associated electronics. Mathematical models for a wide variety of sensors ranging from resistive sensors to biosensors are reviewed along with the resulting implications for the design of signal-conditioning electronics. A case-study approach is used in which specific sensor systems are evaluated for sensitivity, selectivity, dynamic range, response time, and reproducibility. Includes lab. 4 cr.

ENG BE 515 Introduction to Medical Imaging

Prereq: ENG BE 401, ENG SC 401, or ENG EK 510 and elementary knowledge of atomic physics. Methods of obtaining useful images of the interior of the body using X-rays, ultrasound, and radionuclides. Image formation and display. Projection radiography. Radiation detectors. Conventional and computerized tomography. Nuclear imaging. Automating diagnosis and non-invasive testing. Radiation safety. Same as MN 515; students may not receive credit for both. 4 cr.

ENG BE 516 Applied Medical Imaging

Prereq: ENG EK 301, ENG BE 401. Biomedical engineering course in the format of a clinical rotation (25 hours per week); this is a six-week course offered only during the Summer II session. The program consists of separate components of approximately equal duration and emphasis. An engineering component with focus in the physics/mathematics/computer subjects most relevant to medical imaging (attended solely by engineering students) and a radiological component in lectures and review sessions with medical/clinical focus (attended together with fourth-year medical students [BUSM-IV] and first-year radiology residents). 4 cr.

ENG BE 521/AM 521 Continuum Mechanics for Biomedical Engineers/Continum Mechanics

Prereq: ENG EK 424 or ENG AM 308 and either ENG EK 304, ENG AM 420, ENG AM 422, ENG BE 420, ENG BE 436, or consent of instructor. The main goal of this course is to present a unified, mathematically rigorous approach to two classical branches of mechanics: the mechanics of fluids and the mechanics of solids. Topics will include kinematics, stress analysis, balance laws (mass, momentum, and energy), the entropy inequality, and constitutive equations in the framework of Cartesian vectors and tensors. Emphasis will be placed on mechanical principles that apply to all materials by using the unifying mathematical framework of Cartesian vectors and tensors. Illustrative examples from biology and physiology will be used to describe basic concepts in continuum mechanics. The course will end at the point from which specialized courses devoted to problems in fluid mechanics (e.g., biotransport) and solid mechanics (e.g., cellular biomechanics) could logically proceed; students may not receive credit for both. 4 cr.

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ENG BE 523/MN 523 Mechanics of Biomaterials

Prereq: ENG EK 301, ENG EK 305, or ENG BE 420; ENG EK 306 is desirable. Covers the chemical composition, physical structure, and mechanical behavior of engineering polymers. Study of types of polymers; rubber elasticity; fundamentals of viscoelastic phenomena such as creep, stress relaxation, stress rupture, mechanical damping, impact; effects of chemical composition and structure on viscoelastic and strength properties; methods of mechanical property evaluation. Fracture and fatigue of polymer materials. Influences of plastics fabrication methods on mechanical properties. Emphasis on recent research techniques and results. Same as ENG MN 523; students may not receive credit for both. 4 cr.

ENG BE 524/AM 524 Skeletal Tissue Mechanics

Prereq: ENG EK 301, ENG EK 302, ENG EK 305, ENG AM 308, CAS MA 242 or equivalent. The course is structured around classical topics in mechanics of materials and their application to study of the mechanical behavior of skeletal tissues, whole bones, bone-implant systems, and diarthroidal joints. Topics include: mechanical behavior of tissues, (anisotropy, viscoelasticity, fracture and fatigue) with emphasis on the role of the microstructure of these tissues; structural properties of whole bones and implants (composite and asymmetric bean theories); and mechanical function of joints (contact mechanics, lubrication, and wear). Emphasis is placed on using experimental data to test and to develop theoretical models, as well as on using the knowledge gained to address common health-related problems related to aging, disease, and injury. Students may not receive credit for both. 4 cr.

ENG BE 533 Biorheology

Prereq: ENG BE 420 and ENG EK 424. An introductory course emphasizing those rheological properties (such as elasticity, viscoelasticity, poroelasticity, plasticity, and viscoplasticity) that often characterize solid biological tissues. 4 cr.

ENG BE 535 Cell Mechanics

Prereq: ENG BE 209, ENG EK 424, ENG EK 305, or ENG BE 436. The physical and chemical basis for the mechanical properties and activities of living cells considered from an engineering perspective. The instructional approach emphasizes in-depth study of a limited number of cases and relies heavily on selected readings. Topics studied include cell adhesion and elasticity of red cells as well as phenomena in which active motility is involved (e.g., the first cleavage division of the sea urchin egg, the contraction of skeletal muscle, the crawling motility of fibroblastic cells, and the beating of flagella). Lectures and assignments emphasize the role of quantitative theory and mathematical models in elucidating the molecular basis of physiological observations in these diverse areas. 4 cr.

ENG BE 537 Biomedical and Biochemical Microsystems

Prereq: graduate standing or permission of instructor. Focus is on micro and nanofabrication approaches to engineer the cellular and subcellular environment. The course covers applications of these technologies in the biomedical and biochemical fields, ranging from micro-analytical systems to implantable drug delivery microsystems. 4 cr.

ENG BE 540 Bioelectric Signals: Analysis and Interpretation

Prereq: ENG BE 402 or consent of instructor. Detailed study of bioelectric signals that can be recorded from conscious humans. Alternative recording and signal processing procedures with attention to relative advantages and disadvantages, including instrumentation requirements and examples. Mathematical models that relate signal parameters to physiological events. Examples given to demonstrate the applicability of bioelectric signals to control devices external to the body. Myoelectric signals used as primary examples throughout the course. 4 cr.

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ENG BE 550 Bioelectromechanics

Prereq: ENG BE 420, ENG BE 436 or ENG SC 453. Conduction, diffusion, and convection in electrolytes. Equilibrium double layers and electrical forces in physiological systems. Applications to physiological systems including membrane/electrolyte and electrode/electrolyte interfaces, interaction of biomaterials with electric fields, electrophoresis and electroosmosis, and electromechanical coupling in charged biological structures. 4 cr.

ENG BE 560 Biomolecular Architecture

Prereq: CAS PY 212, CAS CH 131 or CH 102, and ENG BE 209. Provides an introduction to the molecular building blocks and the structure of three major components of the living cells: the nucleic acids, the phospholipids membrane, and the proteins. The nucleic acids, DNA and RNA, linear information storing structure as well as their three-dimensional structure are covered in relationship to their function. This includes an introduction to information and coding theory. The analysis tools used in pattern identification representation and functional association are introduced and used to discuss the patterns characteristic of DNA and protein structure and biochemical function. The problems and current approaches to predicting protein structure including those using homology, energy minimization, and modeling are introduced. The future implications of our expanding biomolecular knowledge and of rational drug design are also discussed. 4 cr.

ENG BE 561 DNA and Protein Sequence Analysis

Prereq: ENG BE 200, ENG BE 209, ENG EK 125, ENG EK 126, or equivalent. Fundamental concepts from molecular biology and molecular genetics are presented. Biological inferences are made from DNA and protein sequence data using mathematical and computer science techniques. Pairwise sequence comparative analyses and homolog identification are studied in detail. The dynamic programming algorithm is extended to deal with more general cases and is applied to RNA structure prediction. Additional topics include: multiple sequence alignment and conserved sequence pattern recognition methods, phylogenetic tree reconstruction to study molecular evolution, methods of identifying coding regions in genomic data, algorithms to solve the fragment assembly problem of DNA sequencing, techniques for physical mapping, and mathematical models and computations alogrithms for genetic regulation. An introduction to protein 3-dimensional structure predictions is also given. 4 cr.

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ENG BE 563 Cellular and Molecular Systems Analysis

Prereq: ENG BE 402 or equivalent. The course addresses the interface between cellular and molecular phenomena using methods of engineering system analysis. Topics include storage and processing of genetic information in the cell, the regulation and control of gene action, the analysis of cell surface receptor/ligand binding and trafficking, signal transduction, receptor-mediated cell responses, metabolic pathways and control mechanisms, cell proliferation and growth, and some analysis of the immune system. The interpretation and analysis of these systems will be based, as much as possible, on the engineering methodologies taught in traditional signals and systems courses, with some additional training in nonlinear system kinetics and dynamics. The emphasis in the course will be to expose undergraduate and graduate students to molecular/cellular phenomena for which there is sufficient experimental data and mechanistic understanding for the analysis from an engineering perspective. The aim is not just to translate the cellular and molecular systems into engineering terminology, but to attempt to be sufficiently predictive for the design of modified biological systems. 4 cr.

ENG BE 565 Molecular Biotechnology

Prereq: ENG EK 424, ENG BE 505, CAS CH 102, or consent of instructor. Covers the basic properties of biological macromolecules and assemblies including proteins, nucleic acids, and membranes. Among the topics covered are the forces that govern biological structures, how proteins act as catalysts, how membranes act to store energy, and how nucleic acids and proteins are synthesized in cells. Methods for manipulating the living cells to change their properties and to produce specific proteins or nucleic acids are detailed. 4 cr.

ENG BE 566 DNA Structure and Function

Prereq: CH 102, PY 212, EK 424. Physical structure and properties of DNA. The physical principles of the major experimental methods to study DNA are explained, among them: X-ray analysis, NMR, optical methods (absorption, circular dichroism, fluorescence), centrifugation, gel electrophoresis, chemical and enzymatic probing. Different theoretical models of DNA are presented, among them: the melting (helix-coil) model, the polyelectrolyte model, the elastic-rod model, the topological model. Theoretical approaches to treat the models, (e.g., Monte Carlo method) are covered. Special emphasis is on DNA topology and DNA unusual structures, and their biological significance. In parallel with DNA, major structural features of RNA are considered. Main principles of DNA-protein interactions are presented. The role of DNA and RNA structure in most fundamental biological processes, replication, transcription, recombination, reparation, and translation are considered. 4 cr.

ENG BE 567 Nonlinear Systems in Biomedical Engineering

Prereq: graduate standing or consent of instructor; ENG BE 505 or equivalent; ordinary differential equations. Linear dynamic systems and linear algebra are recommended. Introduction to nonlinear dynamical systems in biomedical engineering. Qualitative, analytical, and computational techniques. Stability, bifurcations, oscillations, multistability, hysteresis, multiple time-scales, chaos. Introduction to experimental data analysis and control techniques. Applications discussed include genetic circuit engineering, neural processing, cardiac control, posture control, and population dynamics. 4 cr.

ENG BE 570 Introduction to Computational Vision

Prereq: CAS MA 226; ENG BE 401 or ENG SC 401, ENG EK 510; ENG BE 200 or ENG EK 500; and working knowledge of MATLAB. Introductory course in computational visual neuroscience. Provides a survey of general neural network models for vision and the computational vision theories and survey of neuroanatomy, neurophysiology, and psychophysics underlying specific problems in vision. Topics addressed include models of visual motion analysis such as optic flow, boundary extraction, and three-dimensional structure and motion, and models of stereopsis. Briefly addresses learning mechanisms and their relationship to brain plasticity. A term project is required for graduate credit. 4 cr.

ENG BE 700 Advanced Topics in Biomedical Engineering

Prereq: graduate standing or consent of instructor. Advanced study of a specific research topic in biomedical engineering. Intended primarily for advanced graduate students. 4 cr.

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ENG BE 703 Numerical Methods and Modeling in Biomedical Engineering

Prereq: graduate standing, undergraduate degree in engineering or physics. This graduate course is an introduction to the computational tools most commonly applied in biological and physiological research, with emphasis on the art of using models, programming and simulation to reach useful conclusions and insights. The first half of the course is an introduction to the Unix operating system, the elements of programming, and basic methods of numerical analysis. Specific topics include exact and iterative methods for the solution of large systems, differentiation and interpolation, numerical integration, Monte Carlo methods and statistical bootstrap methods, Fourier transform and spectral methods, and also finite element and finite difference methods for the solution of ordinary and partial differential equations. Each weekly lecture is accompanied by a computer lab in which the students will gain experience in the use of the techniques under study. The last half of the course uses a case study approach comprised of several two-week modules designed to immerse students in a variety of specific bioengineering applications covering the range from genes and molecules to cells organs and systems. Each module will begin with lectures on the derivation and implementation of a particular model or computational algorithm and be accompanied by a related computational mini-project. 4 cr.

ENG BE 706 Quantitative Physiology for Engineers

Pre- or Coreq: CAS MA 226, ENG BE 401, graduate standing or consent of instructor. Course in human physiology for biomedical engineering students. Fundamentals of cellular and systems physiology, including the nervous, muscular, cardiovascular, respiratory, renal, gastrointestinal, endocrine, and immune systems. Quantitative and engineering approaches will be applied to understanding physiological concepts. 4 cr.

ENG BE 707 Quantitative Studies of Excitable Cells

Prereq: ENG BE 401 and graduate standing; seniors with consent of instructor. Focuses on the properties of the membranes of nerve and muscle cells. Classical models of resting potentials, action potentials, synaptic transmission, and sensory receptors are treated. The structure and function of single ionic channels are characterized in detail from patch-clamp recordings, neuropharmacological studies, and molecular studies. Mechanisms of muscle contraction and other forms of cellular motility are also covered. 4 cr.

ENG BE 710 Neural Plasticity and Perceptual Learning

Prereq: ENG BE 200 (or an introductory course in probability and statistics); GRS BI 755 (or any other introductory course in Neuroscience). Recommended: either ENG BE 570 or ENG BE 500 Physiology of the Auditory System. Graduate student standing or permission of the instructor. This course explores the capacity of cortical sensory and motor maps in the adult brain to change as a result of alterations in the effectiveness of the input, direct damage, or practice. The lectures will describe and discuss (1) the physiology and anatomy underlying adult dynamics; (2) psychophysical methods and experimental paradigms that have been used to study cortical plasticity in the early stages of the sensory and motor pathways; (3) evidence for perceptual learning; and (4) biologically plausible computational models of learning. We will discuss applications of functional neuroimaging to study perceptual learning and restorative plasticity in the human brain. 4 cr.

ENG BE 722 Advanced Continuum Biomechanics and Biofluid Dynamics

Prereq: ENG BE 521 or equivalent or permission by instructor. This is the second course in a two-semester sequence, which emphasizes the application of continuum mechanics to problems in physiology, biology, and medicine. Material will be presented through topical examples, which will employ the governing equations and field theory of continuum mechanics and illustrate how to apply these principles to formulate and solve problems in biomechanics and biofluid dynamics. Examples will be presented in the context of four three-week-long modules. Utilizing various problem-solving techniques (e.g., the finite element method, Monte Carlo simulation, perturbation methods, etc.), each module will take a multidisciplinary approach that will illustrate the necessity to incorporate concepts and tools from a variety of fields (e.g., chemistry, physical chemistry, thermodynamics, acoustics, electrostatics, molecular dynamics, etc.), and which might include non-continuum approaches (e.g., statistical physics, structural mechanics, etc.). Some modules will include wet/computer lab components. 4 cr.

ENG BE/MN 726 Biomaterials and Tissue Engineering I

Prereq: graduate student standing in BE, CH, or MFG. Provides the chemistry and engineering skills needed to solve challenges in the biomaterials and tissue engineering area, concentrating on the fundamental principles in biomedical engineering, material science, and chemistry. Covers the structure and properties of hard materials (ceramics and metals) and soft materials (polymers and hydrogels). Includes the biological response to materials such as cell-surface interactions and inflammation. Same as MN 726, students may not receive credit for both. 4 cr.

ENG BE/MN 727 Biomaterials and Tissue Engineering II

Prereq: graduate student standing in BE, CH, or MFG. Provides the chemistry and engineering skills needed to solve challenges in the biomaterials and tissue engineering area, concentrating on material properties, mechanics and specific research topics. Covers the rheological properties of polymers and gels as well as fatigue and fracture of materials.  Research topics such as tissue engineering, polymer chemistry, drug delivery, and micro-nano biosystems. Same as MN 727, students may not receive credit for both. 4 cr.

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ENG BE 740/SC 740 Parameter Estimation and Systems Identification

Prereq: ENG EK 500 or consent of instructor. Application of models with physical parameters to experimental data. Linear and non-linear systems estimation, system identifiability, time and frequency domain estimation, model sensitivity and experiment multivariate statistical analysis, and optimal design. Application predominantly to biomedical systems (e.g., cardiovascular, respiratory, and pharmokinetics). Other applications included. Same as ENG SC 740; students may not receive credit for both. 4 cr.

ENG BE 747 Advanced Signals and Systems Analysis for Biomedical Engineering

Prereq: ENG BE 200 and ENG BE 401 or equivalent, graduate standing in BME. Introduction to advanced techniques for signals and systems analysis with applications to problems in biomedical engineering research. Time-domain and frequency-domain analysis of multiple input, multiple output systems using the fundamental matrix approach. Hilbert transform relations; applications to head-related transfer functions. Second-order characterization of stochastic processes: power density spectra, cross-spectra, auto- and cross-correlation functions. Gaussian and Poisson processes. Models of neural firing patterns. Effects of linear systems on spectra and correlation functions. Applications to models of the peripheral auditory system. Optimum processing applications. Applications to psychophysical modeling. Introduction to wavelets and wavelet transforms. Wavelet filter banks and wavelet signal processing. 4 cr.

ENG BE 760 Structural Bioinformatics

Prereq: BE 561 (Protein and DNA Sequence Analysis), BE 560 (Biomolecular Architecture) or equivalent. Principles and significance of protein structure. Protein domains and folds. Functional classification of proteins. Functional and structural annotation. Molecular modeling and simulation methods. Structure validation and refinement. Assignment of structure to genome sequences by homology modeling and fold recognition. The role of structure in functional annotation. Protein families and folds in genomes. Protein–protein interactions and docking. Annotation from protein interactions. Interactions between proteins and small molecules. Structure-based drug design. Quantitative Structure–Affinity Relationships (QSAR) and the estimation of affinities. Chemoinformatics, molecular diversity, and combinatorial library design. DNA structure, protein–DNA interactions and recognition sites. Binding of small molecules to DNA. RNA structure prediction. 4 cr.

ENG BE 764 Biophysics of Large Molecules

Coreq: ENG EK 424. Prereq: CAS CH 102, ENG BE 401, graduate standing, or consent of instructor. Correlation between various physical properties of large molecules and their structure is considered in detail. Physical and mathematical description of polyatomic molecules and macromolecules is elaborated. Methods to study large molecules are described. A special emphasis is given to interaction of large molecules with electromagnetic radiation (visual light, ultraviolet and infrared radiation, X-rays, radiowaves). Physics of macromolecules (or polymers) is treated in detail. Numerous biomedical photosynthesis, DNA damage under irradiation, structure of major biological molecules (proteins and nucleic acids). 4 cr.

ENG BE 765/SC 765 Biomedical Optics and Biophotonics

This course surveys the applications of optical science and engineering to a variety of biomedical problems, with emphasis on optical and photonics technologies that enable real, minimally-invasive clinical applications. The course teaches only those aspects of biology itself that are necessary to understand the purpose of the application. The first weeks introduce the optical properties of tissue, and following lectures cover a range of topics in three general areas: 1) Optical spectroscopy applied to diagnosis of cancer and other tissue diseases; 2) Photon migration and optical imaging of subsurface structures in tissue; and 3) Laser-tissue interactions and other applications of light for therapeutic purposes. In addition to formal lectures, recent publications from the literature will be selected as illustrative of various topical areas, and for each publication one student will be assigned to prepare an informal presentation (with overhead slides or PowerPoint) reviewing for the class the underlying principles of that paper and outlining the research results. Same as ENG SC 765; students may not receive credit for both. 4 cr.

ENG BE 767 Protein and Genomic Systems Engineering

ENG BE 768 Biological Database Analysis

Prereq: CAS CS 112 or CS 113, graduate standing, or consent of instructor. Background knowledge of biochemistry and genetics. Describes relational data models and database management systems. Teaches the theories and techniques of constructing relational databases with emphasis on those aspects needed for various biological data, including sequences, structures, genetic linkages and maps, and signal pathways. Introduces relational database query language SQL. Summarizes currently existing biological databases and the Web-based programming tools for their access. Object-oriented modeling is introduced primarily as a design aid for dealing with the particular complexities of biological information in standard RDB design. Emphasis will be on those problems associated with dealing with data whose nomenclature and interrelationships are undergoing rapid change. 4 cr.

ENG BE 775 Mechanisms and Models of Cellular Regulation

Prereq: Graduate standing; MA 226 or equivalent; at least one course in computer programming. ENG BE 505 or equivalent is recommended. Regulatory and control processes in cells are presented from a genetic and biochemical network perspective. Systems analysis of networks include logical (Boolean), deterministic (ordinary differential equations), and stochastic approaches. Case studies of gene regulatory networks as well as metabolic, signaling, cell survival, proliferation, and death pathways are discussed. Existing modeling platforms of systems biology and bioinformatic pathways databases are introduced. 4 cr.

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ENG BE 777 Computational Genomics

Prereq: BE 561 or consent of instructor. A case-study approach to current topics in computational genomics. Mathematical and engineering tools for analyzing genomic data are reviewed. The relationships between sequence, structure, and function in complex biological networks are studied using quantitative modeling. Whole genome analysis is performed. Completion of a series of projects emphasizing real-life data, integrated approaches, practical applications, hands-on analysis, and collaboration. Course projects aim at improving current approaches and involve C and/or PERL programming to interface with existing software packages. The course will be offered in a computer laboratory equipped with one laptop per student. 4 cr.

ENG BE 790 Biomedical Engineering Seminar

Prereq: senior standing. Required for graduate students in biomedical engineering. Discussion of current topics in biomedical engineering. Students are expected to read assigned journal articles and to participate actively in weekly discussion meetings. Meetings organized around presentations by invited guests of their research problems, strategy, and technique. 0 cr.

ENG BE 791 PhD Biomedical Engineering Laboratory Rotation System

Prereq: PhD standing. This course allows PhD students to take part in a laboratory rotation system. During these rotations, students become familiar with research activity within departmental laboratories that are of interest to them. These rotations help students identify the laboratory in which they will perform their dissertation research. Postbachelor's PhD students must complete three rotations: one in their first semester of matriculation, and two in their second semester. Post-master's PhD students must complete a minimum of two rotations, one of which must be in their first semester of matriculation. Normally each rotation will last up to seven weeks. 1 cr per lab rotation.

ENG BE 801 Teaching Practicum

ENG BE 900 Research

Prereq: graduate standing. Participation in a research project under the direction of a faculty advisor. Includes research leading to the development of an MS thesis proposal or PhD prospectus, as well as the work necessary to generate an original MS thesis or PhD dissertation. Variable cr.

ENG BE 951 Independent Study

By petition only. A course of reading under the direction of a faculty advisor covering subject matter not available in a lecture course. Final report or examination normally required. Variable cr.

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Manufacturing Engineering

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ENG MN 500 Special Topics in Manufacturing Engineering

Prereq: engineering graduate student standing; others by permission of instructor. Specific prerequisites vary according to topic. Coverage of a specific topic in manufacturing engineering. One topic covered in depth each term. Subject matter, which varies from year to year, is generally from an area of current or emerging research. 4 cr.

ENG MN 501, 502 Manufacturing Case Studies I, II

Prereq: consent of instructor. An integrated experience in manufacturing engineering. A series of topic areas are covered using intensive weekly cases. Cases emphasize such topics as probability and statistics, mechanics and heat transfer, automation and control, materials and processes, and microcomputers as appropriate in manufacturing. One case analysis is finished and presented each week. 4 cr.

ENG MN 505 Intellectual Assets: Creation, Protection, and Commercialization

Prereq: Senior or graduate standing in an engineering or science discipline, or consent of instructor. This course provides students with the knowledge and tools necessary to create, protect, and commercialize engineering and scientific intellectual assets. Students will first make use of creativity tools to attack posed engineering problems, then turn to means for protecting their solutions. Rapidly growing areas that are affecting nearly all businesses (e.g., software and the Internet) as well as “high-tech” areas including microelectronics, communications, and bioengineering will be emphasized. Extensive patent searches and analysis will be carried out to develop skills for quickly ascertaining the protected technical content of patents, and for recognizing what intellectual property (IP) should be and can be protected. Legal aspects for protecting creative ideas will be studied at a level appropriate for engineers to interact easily and smoothly during their technical careers with IP lawyers. Various business models for the commercialization of intellectual assets will be analyzed. Extensive class exercises and projects will explore in depth all three of these important areas of IP, with emphasis on key contributions during engineering and scientific research and development activities. 4 cr.

ENG MN 507 Process Modeling and Control

Prereq: senior or graduate standing in Engineering; ENG EK 307, CAS MA 226 or equivalent coursework and permission of instructor. An introduction to modeling and control as applied to industrial unit processes providing the basis for process development and improvement. Major themes include an integrated treatment of modeling multi-domain physical systems (electrical, mechanical, fluid, thermal), application of classical control techniques, and system design. Topics include modeling techniques, analysis of linear dynamics, control fundamentals in the time and frequency domain, and actuator selection and control structure design. Examples drawn from a variety of manufacturing processes and case studies. 4 cr.

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ENG MN 510 Production Systems Analysis

Prereq: ENG MN 345 or consent of instructor. Operations research and dynamic systems methods applied in modeling, analysis, and control of production systems. Inventory analysis and control for single and multi-item systems based on deterministic and stochastic demand models. Demand forecasting. Supply chain management. Machine, flow shop and job shop scheduling, project scheduling with PERT and CPM. Production control methods: MRP, MRP-II, Just-in-Time, and Kanban. 4 cr.

ENG MN 511 Manufacturing Information Systems

Prereq: graduate status or consent of instructor. Introduction to Information Systems concepts, design and analysis techniques, and their application to Manufacturing Operations Management. The impact of contemporary Information Technology solutions on Manufacturing Operations Management is explored by focusing on Enterprise Resource Planning, Manufacturing Execution, and Advanced Planning and Scheduling systems. Trends and challenges facing Information Technology solutions to Manufacturing Operations Management are highlighted through case studies focusing on Lean and Agile manufacturing, Supply Chain Management and Electronic Procurement, six sigma, and related methodologies. 4 cr.

ENG MN 513 Product Development

Prereq: senior or graduate standing in an engineering discipline. Dynamics of converting ideas into marketable products. Choosing products and defining their specifications to achieve competitive advantage. The product development process is deconstructed and its elements are examined critically in the context of actual case studies; risk evaluation, concurrent engineering, and impact of new product decisions on the factory. A step-by-step methodology for new product development is derived. 4 cr.

ENG MN 514/SC 514 Simulation

Prereq: ENG EK 126, ENG EK 127, or knowledge of a general purpose programming language; ENG MN 308, CAS MA 381, or knowledge of probability and statistics. Modeling of discrete event systems and their analysis through simulation. Systems considered include, but are not limited to, manufacturing systems, computer-communication networks and computer systems. Simulating random environments and output analysis in such contexts. A simulation language is introduced and is the main tool for simulation experimentation. Same as ENG SC 514; students may not receive credit for both. Includes lab. 4 cr.

ENG MN 515 Diagnostic Imaging Systems

Prereq: one of ENG SC 401, ENG BE 401, or ENG EK 510, and elementary knowledge of atomic physics. Methods of obtaining useful images of the interior of the body and industrial objects using X-rays, ultrasound, and radionuclides. Image formation and display; projection radiography; radiation detectors; conventional and computerized tomography; nuclear imaging; ultra-sonic imaging; automating diagnosis and nondestructive testing; radiation safety. Same as ENG BE 515; students may not receive credit for both. 4 cr.

ENG MN 518 Product Quality

Prereq: ENG MN 308 or consent of the instructor. Introduction to statistical methods for design, control, and improvement of quality. Includes Statistical Process and Quality Control (SPC & SQC) and Acceptance Sampling. Extensive coverage of Design of Experiments (DOE) with applications to designing quality into products and to process and product performance improvement. Also covers Robust Design and Taguchi's method. Introduction to modern approaches to management of quality (TQM, Six Sigma). 4 cr.

ENG MN 522 Technology Ventures

ENG MN 523/BE 523 Mechanics of Biomaterials

ENG MN 524/SC 524 Optimization Theory and Methods

Prereq: ENG MN 409 or consent of instructor. Introduction to optimization problems and algorithms emphasizing problem formulation, basic methodologies, and the underlying mathematical structures. Covers classical optimization theory as well as recent advances in the field. Topics include modeling issues and formulations, simplex method, duality theory, sensitivity analysis, large-scale optimization, integer programming, interior-point methods, non-linear programming optimality conditions, gradient methods, and conjugate direction methods. Particular applications are considered and a few case studies covered. In addition to extensive paradigms from production planning and scheduling in manufacturing systems, other illustrative applications include fleet management, air traffic flow management, optimal routing in communication networks, and optimal portfolio selection. Meets with ENG SC 524; students may not receive credit for both. 4 cr.

ENG MN 526 Simulation of Physical Processes

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ENG MN 527 Transport Phenomena

Prereq: ENG EK 304 or equivalent or consent of instructor. Introduction to momentum, heat, and mass transport phenomena occurring in various processes. Whereas transport phenomena underlie many processes in engineering, agriculture, meteorology, physiology, biology, analytical chemistry, materials science, pharmacy and other areas, they are key to specific applications in diverse areas such as materials processing, green manufacturing of primary materials, biological membranes, fuel cell engineering, and synthesis of clean fuels. This course covers three closely related transport phenomena: momentum transfer (fluid flow), energy transfer (heat flow), and mass transfer (diffusion). The mathematical underpinnings of all three transport phenomena are closely related and the differential equations governing them are frequently quite similar. Since in many situations the three transport phenomena occur together, they are presented and studied together in this course. 4 cr.

ENG MN 529 Thermodynamics and Kinetics of Materials and Processes

Prereq: ENG EK 306. Provides a basic understanding of the laws of thermodynamics as they apply to different elements and compounds and their interactions in the solid, liquid, and gaseous forms as a function of various extensive and intensive variables. Analysis of the path to thermodynamic equilibrium or process kinetics will be covered by discussing reaction kinetics and the laws that govern mass transfer in solids and fluids. Mass transfer through membranes/cellular materials will also be covered. The course primarily covers thermodynamics and kinetics as they apply to the study of materials structure and synthesis. 4 cr.

ENG MN 530 Materials and Processes in Manufacturing

Consent of instructor. Graduate-level introduction to manufacturing processes and their relationship to the structure/properties of materials. Detail development of structure of solids, equilibrium thermodynamics, kinetics, mechanical properties, and some key processes, such as machining, consolidation, and surface modification. 4 cr.

ENG MN 531 Phase Transformations

Prereq: ENG EK 306 Material Science or graduate standing. Graduate-level introduction to phase transformations; solution thermodynamics; phase diagrams; kinetics of mass transport and chemical reactions; atomistic models of diffusion; nucleation and growth; spinodal decomposition; martensitic transformations; order-disorder reactions; point defects and their relation to transport kinetics. 4 cr.

ENG MN 532 Mechanical Behavior of Materials

Prereq: ENG EK 305, EK 306, or graduate standing. This course relates mechanical behavior of crystalline materials to processes occurring at microscopic and/or atomic levels. Topics covered include structure of materials and their determination by X-ray diffraction; dislocations and their relationship to plastic deformations and strength of materials; fracture and creep. 4 cr.

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ENG MN 534 Materials Technology for Microelectronics

Prereq: graduate status or consent of instructor. This course deals with the materials issues in microelectronics processing. Fundamental materials science concepts of bonding, electronic structure, crystal structure, defects, and phase diagrams are applied to key processing steps in microelectronics technology. Also included are single crystal growth, lithography, thermal oxidation of Si, dopant diffusion, ion implantation, thin film deposition, etching and back-end processing; as well as widely used microelectronics simulation software such as SUPREM. Materials challenges in emerging directions in micro and nanoelectronics, including silicon on insulator technology, Si-Ge strained layers, and quantum dots will also be addressed. 4 cr.

ENG MN 535 Green Manufacturing

Prereq: senior/graduate standing; Background knowledge of chemistry (e.g., CAS CH 131 or CAS CH 101); calculus through differential equations (e.g., CAS MA 226); thermodynamics (e.g., ENG EK 304 or ENG EK 424); and process kinetics (e.g., ENG MN 465 or ENG MN 529); or consent of the instructor. Provides a systems view of the manufacturing process that aims to efficiently use energy, water, and raw materials to minimize air and water pollution and generation of waste per unit of the manufactured product. Specifically, the course will discuss methods to maximize yield and minimize waste effluents in processes, ways to devise treatment strategies for handling manufacturing wastes, innovative ways to decrease energy consumption in manufacturing, by-product use and product recycling, and policies that encourage green manufacturing. 4 cr.

ENG MN 540 Design of High-Speed Automation Systems

Prereq: senior/graduate standing, ENG MN 345 or consent of instructor. This course, based on industrial best practice, teaches students to justify, design, and implement high-speed assembly automation systems in production. The course concentrates on the production of high-volume consumer products that must be manufactured in quantities ranging from 100 to 600 parts per minute to be cost-effective. Topics covered, via case studies, include financial justification, equipment specification, design of basic assembly mechanisms, feeding systems, control systems, integration, and debugging. This course is proposed as both a manufacturing and productivity elective. 4 cr.

ENG MN 544/SC 544 Networking the Physical World

Prereq: ENG SC 312, ENG SC 450 or equivalents; ENG SC 441 is desirable, C programming experience. Considers the evolution of embedded network sensing systems with the introduction of wireless network connectivity. Key themes are computing optimized for resource constrained (cost, energy, memory and storage space) applications and sensing interfaces to connect to the physical world. Studies current technology for networked embedded network sensors including protocal standards. A laboratory component of the course introduces students to the unique characteristics of distributed sensor motes including programming, reliable communication, sensing modalities, calibration, and application development. Experience with the C language is required. Students may not receive credit for both. 4 cr, 1st sem.

ENG MN 545 Electrochemistry of Fuel Cells and Batteries

Prereq: ENG MN 529. Electrochemistry of high-temperature fuel cells, batteries, and ceramic gas separation membranes. Types, advantages, and disadvantages of fuel cells currently being developed by the power generation industry, and the electrochemical underpinnings of fuel cell operation. Thermodynamics of fuel cells, electrode kinetics, and mass transport in porous electrodes. Measurements techniques (dc polarization, ac impedance spectroscopy, and blocking electrodes) used extensively in fuel cell research and development. Operation of batteries and ceramic gas separation membranes. Current manufacturing techniques used in fuel cell industry. 4 cr.

ENG MN 550 Product Supply Chain Design

Prereq: ENG MN 415 or consent of instructor. Integrated design of systems to deliver quality products to customers. Lean manufacturing with hard automation. Worker empowerment with active learning. Creation of lean supply chains with control of logistics and information. Creating customer value in a world of excess capacity. Industry project required. 4 cr.

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ENG MN 555 MEMS: Fabrication and Materials

Prereq: graduate status or consent of instructor. This course will explore the world of microelectromechanical devices and systems (MEMS). This requires an awareness of design, fabrication, and materials issues involved in MEMS. The material will be covered through a combination of lectures, case studies, and individual homework assignments. The course will cover design, fabrication technologies, material properties, structural mechanics, basic sensing and actuation principles, packaging, and MEMS markets and applications. The course will emphasize MEMS fabrication and materials. 4 cr.

ENG MN 560 Precision Machine Design and Instrumentation

ENG MN 566 Advanced Engineering Mathematics

Prereq: CAS MA 225, CAS MA 226, senior standing, and consent of instructor. Introduces students of engineering to various mathematical techniques which are necessary in order to solve practical problems. Topics covered include a review of calculus methods, elements of probability and statistics, linear algebra, transform methods, difference and differential equations, numerical techniques, and mathematical techniques in optimization theory. Examples and case studies focus on applications to several engineering disciplines. The intended audience for this course is advanced seniors and entering MS engineering students, who desire strengthening of their fundamental mathematical skills, in preparation for advanced studies and research. 4 cr.

ENG MN 567/SC 567 Electromagnetic Wave Computation

Prereq: ENG SC 453 or consent of instructor. Introduction to numerical methods for solving the three-dimensional Maxwell's equations in the frequency and time domains. Integral equations and the method of moments. Finite-element frequency-domain method. Finite-difference and finite-element time-domain methods. Numerical grid generation. Applications to scattering, antennas, waveguides, and high-speed electronic circuits. Students may not receive credit for both. 4 cr.

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ENG MN 568 Modeling of Pattern Transfer in Microlithography

Prereq: ENG AM 400 or consent of instructor. This course covers simulation methods essential for improving the manufacturability of semiconductor microchips. In particular, the simulation of microlithography processes is covered, as microlithography is the key component of semiconductor manufacturability. The following aspects are covered: optical simulation, photoresist simulation, etching, electron beam mask making simulation, and phenomenological models. Emphasis is placed on incorporating this information into current manufacturing R & D directions and on applying these simulation methods to help address key technology problem areas. 4 cr

ENG MN 570/AM 570 Robot Motion Planning

Prereq: ENG EK 102 or CAS MA 142 and CAS MA 226. Provides an overview of state-of-the-art techniques for robot motion planning. The emphasis is on the algorithms. It covers topology of configuration spaces, potential functions, roadmaps, cell decompositions, sampling-based algorithms, and model checking approaches to robot motion planning and control. Students may not receive credit for both. 4 cr.

ENG MN 579/SC 579 Microelectronic Device Manufacturing

Prereq: graduate standing plus an undergraduate course in semiconductors at the level of ENG SC 410, SC 471, SC 453, CAS PY 313, or PY 354, or consent of instructor. Physical processes and manufacturing strategies for the fabrication and manufacture of microelectronic devices. Processing and device aspects instrumental in silicon, including the fabrication of doping distributions, etching, photolithography, interconnect construction, and packaging. Future directions and connections to novel devices, MEMS, photonics, and nanoscale structures will be discussed. Emphasis will be on “designing for manufacturability.” The overall integration with methods and tools employed by device and circuit designers will be covered. Same as SC 579, students may not receive credit for both. 4 cr.

ENG MN 580 Manufacturing Strategy

Prereq: ENG EK 409 or equivalent. Strategic decision-making for technical people in manufacturing companies. Provides practice in applying financial, organizational, and operational concepts through analysis and discussion of case situations. Topics include process alternatives and their implications; interactions among product design, process design, worker skill, and worker motivation; supplier relationships; interfaces with marketing and finance; introduction of new technology; capacity planning; and competitive analysis. Taught principally by in-class discussion, plus guest lectures. 4 cr.

ENG MN 582 Product Development Engineering

Prereq: graduate standing in engineering. This course examines the process of creating and managing products. It reveals the methodology and organizational approach for designing, developing, and revitalizing stong products that enable a firm to make the transition from one generation of technology to the next. This course also explains how well-designed product platforms can generate streams of derivative products through a continuous systematic process of renewal. The product development process is decomposed and its elements are examined critically in the context of case studies. 2 cr.

ENG MN 583 Product Management

Prereq: graduate standing or consent of the instructor. Planning and execution of the process of bringing new tangible and intangible products to market. Review of the new product development process. Establishment of the new product specification. Setting of financial expectations. Formation and dynamics of the product implementation team. Organization of the new product introduction project including matrixed management and financial control. Contingency planning and risk management. Taught through case-based discussions, lectures, and readings. 4 cr.

ENG MN 585 Interactive Computation for CAD/CAM

Prereq: senior standing. Hands-on experience with Rule-based methodology and Decision-Support Systems for manufacturing processes, employing the Process-Design System (PDS). Design and implementation of process monitors, networked to form server-based and transaction-driven process cells. 4 cr.

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ENG MN 591 Industry Practicum I

Prereq: by petition only. A focused industrial experience, including case studies, designed to augment the student's engineering skills. 0 cr.

ENG MN 592 Industry Practicum II

Prereq: by petition only. A focused industrial experience, including case studies, designed to augment the student's engineering skills. 0 cr.

ENG MN 700 Advanced Topics in Manufacturing

Prereq: graduate standing or consent of instructor. Advanced study of a specific research topic in manufacturing engineering. Intended primarily for advanced graduate students. 4 cr.

ENG MN 703 Managerial Cost Accounting

Prereq: graduate standing in engineering. This course provides an overview of accounting measures important to manufacturing operations for both engineers and managers. It begins with a summary of accounting fundamentals, including financial reporting and performance measurement. Topics include cost accounting management for job-order, hybrid, and just-in-time operations; activity based costing and management; measuring and managing spoilage; capacity cost; and analysis of new technology investments. 2 cr.

ENG MN 704 Financial and Managerial Accounting

An introduction to accounting and an examination of how it affects present and prospective users of financial information. Financial accounting (information needs of stockholders, creditors, and analysts) and managerial accounting (information needs of managers) are stressed equally. This course is a cross listing of GSM AC 710. Enrollment is open to ICV students only. 4 cr.

ENG MN 705 Operations Management

Focuses on the design and control of manufacturing and service systems. Topics include process analysis, capacity planning, forecasting, simulation, scheduling, inventory analysis, quality control, material requirements planning, work design, and technology. This course is a cross listing of GSM OM 725. Enrollment is open to ICV students only. 4 cr.

ENG MN 708/SC 708 Advanced Process Control

Prereq: one of ENG SC 402, SC 501, MN/SC 507, or equivalent with permission of instructor. Integrated study of process control and modern control theory. Includes process modeling and simulation, analysis of linear and non-linear dynamics, evaluation and selection of actuators and measurements, control structure design for single and multiple variable systems, and control algorithm design. Examples drawn from a variety of process control applications. Same as SC 508, students may not receive credit for both. 4 cr.

ENG MN 710/SC 710 Dynamic Programming and Stochastic Control

Prereq: CAS MA 381, ENG EK 500 or MN 308 and ENG SC 402, SC 501 or MN 510. Introduction to sequential decision making via dynamic programming. The principle of optimality as a unified approach to optimal control of dynamic systems and Markovian decision problems. Applications from control theory and operation research include linear-quadratic problems, the discrete Kalman Filter, inventory control, network, investment, and resource allocation models. Adaptive control and numerical solutions through successive approximation and policy iteration, suboptimal control, and neural network applications involving functional approximations and learning. Same as ENG SC 710. Students may not receive credit for both. 4 cr.

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ENG MN 714 Advanced Stochastic Modeling and Simulation

Prereq: ENG EK 500 or equivalent, knowledge of stochastic processes, or consent of the instructor. Introduction to Markov chains, point processes, diffusion processes as models of stochastic systems of practical interest. The course focuses on numerical and simulation methods for performance evaluation, optimization, and control of such systems. 4 cr.

ENG MN 724/SC 724 Advanced Optimization Theory and Methods

Prereq: ENG MN 524/SC 524 or consent of instructor. Complements MN 524/SC 524 by introducing advanced optimization techniques. Emphasis on nonlinear optimization and recent developments in the field. Topics include: unconstrained optimization methods such as gradient and incremental gradient, conjugate direction, Newton and quasi-Newton methods; constrained optimization methods such as projection, feasible directions, barrier and interior point methods; duality theory and methods; convex duality; and stochastic approximation algorithms. Introduction to modern convex optimization including semi-definite programming, conic programming, and robust optimization. Applications drawn from control, production and capacity planning, resource allocation, communication and sensor networks, and bioinformatics. Meets with SC 724. Students may not receive credit for both. 4 cr.

ENG MN 725/SC 725 Queueing Systems

Prereq: ENG EK 500, ENG SC 505, or consent of instructor. Performance modeling using queueing networks, analysis of product form and non-product form networks, numerical methods for performance evaluation, approximate models of queueing systems, optimal design and control of queueing networks. Applications from manufacturing systems, computer systems, and communication networks. Meets with ENG SC 725; students may not receive credit for both. 4 cr.

ENG MN/BE 726 Biomaterials and Tissue Engineering I

Prereq: graduate student standing in BE, CH, or MFG. Provides the chemistry and engineering skills needed to solve challenges in the biomaterials and tissue engineering area, concentrating on the fundamental principles in biomedical engineering, material science, and chemistry. Covers the structure and properties of hard materials (ceramics and metals) and soft materials (polymers and hydrogels). Includes the biological response to materials such as cell-surface interactions and inflammation. Same as BE 726, students may not receive credit for both. See BE 726 for offering information. 4 cr.

ENG MN/BE 727 Biomaterials and Tissue Engineering II

ENG MN 732 Combinatorial Optimization and Graph Algorithms

Prereq: previous course on optimization or algorithms (e.g., ENG MN 409, CAS CS 330), or consent of instructor. Design data structures and efficient algorithms for priority queues, minimum spanning trees, searching in graphs, strongly connected components, shortest paths, maximum matching, and maximum network flow. Some discussion of intractable problems and distributed network algorithms. 4 cr.

ENG MN 733/SC 733 Discrete Event and Hybrid Systems

Prereq: ENG EK 500 or equivalent; consent of instructor. Review of system theory fundamentals distinguishing between time-driven and event-driven dynamics. Modeling of Discrete Event and Hybrid Systems: Automata, Hybrid Automata, Petri Nets, basic queueing models, and stochastic flow models. Monte Carlo computer simulation: basic structure and output analysis. Analysis, control, and optimization techniques based on Markov Decision Process theory with applications to scheduling, resource allocation, and games of chance. Perturbation Analysis and Rapid Learning methods with applications to communication networks, manufacturing systems, and command-control. Meets with ENG SC 733. Students may not receive credit for both. 4 cr.

ENG MN 735 Computer Graphics

Prereq: MET CS 547 or good computer science background and consent of instructor. Techniques for computing, representing, and displaying two- and three-dimensional objects. Topics include two- and three-dimensional transformations, symmetry, data reconstruction, surface modeling, and realistic imaging. 4 cr.

ENG MN 740/AM 740 Vision, Robotics, and Planning

Prereq: senior or graduate standing in the College of Engineering or consent of instructor. Methodologies required for constructing and operating intelligent mechanisms. Comprehensive introduction to robot kinematics for motion planning. Dynamics and control of mechanical systems. Formal treatment of differential relationships for understanding the control of forces and torques at the end effector. Discussion of robot vision and sensing and advanced topics in robot mechanics, including elastic effects and kinematic redundancy. Meets with ENG AM 740. Students may not receive credit for both. 4 cr.

ENG MN 745 Advanced Computer Graphics

Prereq: ENG MN 735 and consent of instructor. A project-oriented course covering current research area in computer graphics and its applications. Topics include visible surface algorithms, lighting and reflectance models, anti-aliasing, geometric modeling and object description, computer-aided design of free-form surfaces, and animation. Each student selects one of the presented topics for an in-depth study, including a literature search, a class presentation, and a final project. 4 cr.

ENG MN 755 Communication Networks Control

Prereq: ENG SC 546, or ENG MN 714, or consent of instructor. Systems and control perspective into communication networks research. Fundamental systems issues in networking. Survey of a variety of techniques that have recently been used to address networking issues, including queueing theory, optimization, large deviations, Markov decision theory, stochastic approximation, and game theory. Topics will vary from year to year, depending on recent developments in the field. Illustrative topics include: network services and layered architectures, performance analysis in networks, traffic management and congestion control, traffic modeling, admission control, flow control and TCP/IP, routing, network economics and pricing. 4 cr.

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ENG MN 765 Production Systems Design

Prereq: ENG SC 501 or ENG MN 510. Theory and applications related to the design of complex production systems. Simulation theory, stochastic modeling and control, and mathematical decomposition techniques are developed and applied hierarchically to combine production statistics estimation, operations protocol design, and capacity selections in an integrated design of complex manufacturing systems. 4 cr.

ENG MN 766 Advanced Scheduling Models and Methods

Prereq: ENG EK 500 and ENG MN 510 or equivalent. Emphasizes basic methodological tools and recent advances for the solution of scheduling problems in both deterministic and stochastic settings. Models considered include classical scheduling models, DEDS, neural nets, queueing models, flow control models, and linear programming models. Methods of control and analysis include optimal control, dynamic programming, fuzzy control, adaptive control, hierarchical control, genetic algorithms, simulated annealing, Lagrangian relaxation, and heavy traffic approximations. Examples and case studies focus on applications from manufacturing systems, computer and communication networks, and transportation systems. 4 cr.

ENG MN 777 Micromachined Transducers

ENG MN 785 Computer-Integrated Manufacturing

Prereq: ENG MN 585 and consent of instructor. Elements of CAD/CAM systems examined with an emphasis on system integration tools, graphical programming of spatially oriented tasks, as well as automatic code generation necessary to provide the voluminous code needed to drive a factory floor. Students gain insight into the interplay between system components, interfaces, and the overall system. 4 cr.

ENG MN 850 Graduate Teaching Seminar

First-time graduate teaching fellows are required to register for special training which will be organized and facilitated by their assigned professor in cooperation with their department. 2 cr.

ENG MN 900 Research

By petition only. Participation in a research project under the direction of a faculty advisor. Final report or thesis is required. Variable cr.

ENG MN 901 Thesis

By petition only. Preparation of an original thesis under the guidance of a faculty advisor. Variable cr.

ENG MN 925 Graduate Project

By petition only. A practical manufacturing design, analysis, fabrication, or production project. Written report required. Variable cr.

ENG MN 951 Independent Study

By petition only. Under faculty supervision, graduate students may study subjects not covered in a regularly offered course. Final report and/or written examination normally required. Variable cr.

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ENG MN 991 Dissertation

Advisor and hours arranged. Variable cr.

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Electrical and Computer Engineering

ENG SC 500 Special Topics in Electrical and Computer Engineering

Prereq: senior standing or consent of instructor. Specific prerequisites vary according to topic. Coverage of a specific topic in electrical, computer, or systems engineering. Subject varies from year to year and is generally from an area of current or emerging research. 4 cr.

ENG SC 501/AM 501 Dynamic System Theory

Prereq: familiarity with differential equations and matrices at the level of ENG SC 401 or CAS MA 242, or consent of instructor. Introduction to analytical concepts and examples of dynamic systems and control. Mathematical description and state space formulation of dynamic systems: modeling, controllability, and observability. Eigenvector and transform analysis of linear systems including canonical forms. Performance specifications. State feedback: pole placement and the linear quadratic regulator. Introduction to MIMO design and robust control. Experience in controller design and system identification using computer tools and laboratory experiments. Same as AM 501, students may not receive credit for both. 4 cr.

ENG SC 504 Advanced Data Structures

Prereq: CAS CS 113 or equivalent. Review of basic data structures and Java syntax. Data abstraction and object-oriented design in the context of high-level languages and databases. Design implementation from the perspective of data structure efficiency and distributed control. Tailoring priority queues, balanced search trees, and graph algorithms to real-world problems, such as network routing, database management, and transaction processing. 4 cr.

ENG SC 505 Stochastic Processes

Prereq: ENG SC 401 and either CAS MA 381 or ENG EK 500, and CAS MA 142 or equivalent. Introduction to discrete and continuous-time random processes. Correlation and power spectral density functions. Linear systems driven by random processes. Optimum detection and estimation. Bayesian, Weiner, and Kalman filtering. 4 cr.

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ENG SC 511 Software Systems Design

Prereq: CAS CS 113. Concept of software product life cycle. Various forms of a software product from requirements definition through operation and maintenance. Life cycle models and the activities performed in each phase. Role of rapid prototyping in requirements analysis and design. Design concepts and design strategies. Comparative evaluation of requirements definition and design methods. Analysis and design validation. Small-team projects involving architectural design and software specification. 4 cr.

ENG SC 512 Enterprise Client-Server Software Systems Design

Prereq: Senior standing or consent of instructor; ENG SC 440 or equivalent is required; programming experience in C++, Java, or C+, basic knowledge of internet protocols and HTML; ENG SC 441 and ENG SC 447 are recommended. Examination of past, current, and emerging technologies. Client side technologies including DHTML, CSS, scripting, ActiveX, RSS, and proprietary applications. Legacy server side technologies including CGI, ISAPL, and active server pages. Current and emerging server technologies including ASP.NET 2, XML/SOAP web services, wireless and handheld access, WAP/WML, SQL databases, streaming media, CMS, and middleware. Design and implementation of solutions involving database connectivity, session state, security requirements, SSL, and authentication of clients. Small-team projects involving design through implementation. 4 cr.

ENG SC 513 Computer Architecture

Prereq: ENG SC 312. Computer architecture and design. Topics include computer arithmetic and ALU design; performance evaluation; instruction set design; CPU design, including pipelining, branch prediction, and speculative execution; memory hierarchy, including cache basics, cache design for performance, and virtual memory support; I/O, including devices, interfaces, specification, and modeling. Examples from high-end microprocessors and embedded systems. 4 cr.

ENG SC 514/MN 514 Simulation

Prereq: ENG EK 126, ENG EK 127 or knowledge of a general purpose programming language, ENG MN 308, or ENG SC 381. Modeling of discrete event systems and their analysis through simulation. Systems considered include, but are not limited to, manufacturing systems, computer-communication networks, and computer systems. Simulating random environments and output analysis in such contexts. A simulation language is introduced and is the main tool for simulation experimentation. Same as ENG MN 514; students may not receive credit for both. 4 cr. See MN 514 for offering information.

ENG SC 515 Digital Communication

Prereq: ENG SC 415, ENG SC 381. Channel characterization; signal design; optimal receivers; coherent and noncoherent digital signaling; intersymbol interference; baseband shaping; equalization, synchronization, and detection; error detection and correction coding. 4 cr.

ENG SC 516 Digital Signal Processing

Prereq: ENG SC 416 or ENG SC 402 or ENG SC 415. Advanced structures and techniques for digital signal processing and their properties in relation to application requirements such as real-time, low-bandwidth, and low-power operation. Optimal FIR filter design; time-dependent Fourier transform and filterbanks; Hilbert transform relations; cepstral analysis and deconvolution; parametric signal modeling; multidimensional signal processing; multirate signal processing. 4 cr.

ENG SC 518 Software Project Management

Coreq: ENG SC 511. Planning and control of a software project. Software project economics. Cost factors and cost estimation models. Cost/benefit trade-offs, risk analysis. Project metrics for quality, schedule, budget, and progress. Role of the project manager and organization of the development team. Case studies used to illustrate successes and failures in the management of actual projects. Small-team projects involving the development of software project plans. 4 cr.

ENG SC 520 Digital Image Processing and Communication

Prereq: CAS MA 381, ENG SC 416, or equivalents. Review of signals and systems in multiple dimensions. Sampling of still images. Quantization of image intensities. Human visual system. Image color spaces. Image models and transformations. Image enhancement and restoration. Image analysis. Image compression fundamentals. Image compression standards (JPEG, JPEG-2000). Homework will include MATLAB assignments. 4 cr.

ENG SC 524/MN 524 Optimization Theory and Methods

Prereq: ENG MN 409 or consent of instructor. Introduction to optimization problems and algorithms emphasizing problem formulation, basic methodologies, and underlying mathematical structures. Classical optimization theory as well as recent advances in the field. Topics include modeling issues and formulations, simplex method, duality theory, sensitivity analysis, large-scale optimization, integer programming, interior-point methods, non-linear programming optimality conditions, gradient methods, and conjugate direction methods. Applications are considered; case studies included. Extensive paradigms from production planning and scheduling in manufacturing systems, fleet management, air traffic flow management, optimal routing in communication networks, and optimal portfolio selection. Same as MN 524, students may not receive credit for both. 4 cr.

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ENG SC 533 Advanced Discrete Mathematics

Prereq: CAS MA 124. Selected topics in discrete mathematics. Formal systems. Mathematical deduction. Logical concepts. Theorem proving. Sets, relations on sets, operations on sets. Functions, graphs, mathematical structures, morphisms, algebraic structures, semigroups, quotient groups, finite-state machines, their homomorphism, and simulation. Machines as recognizers, regular sets. Kleene theorem. 4 cr.

ENG SC 534 Discrete Stochastic Models

Prereq: ENG SC 381 or ENG EK 500. Markov chains, Chapman-Kolmogorov equation. Classification of states, limiting probabilities, Poisson process and its generalization, continuous-time Markov chains, queuing theory, reliability theory. 4 cr.

ENG SC 535 Introduction to Embedded Systems

Prereq: basic knowledge of assembly languages, computer organization and logic circuits, basic knowledge of data structure and algorithms, programming skills in C/C++. This course introduces students to a unified view of hardware and software in embedded systems. The lectures will survey a comprehensive array of techniques including system specification languages, embedded computer architecture, real-time operating systems, hardware-software codesign, and co-verification techniques. The lectures will be complemented by assignments and projects that involve system design, analysis, optimization, and verification. 4 cr.

ENG SC 541 Computer Communication Networks

Prereq: ENG SC 441. Basic delay and blocking models for computer communications: M/M/1 queue; Jackson networks and loss networks; analysis of MAC protocols; flow control for data traffic; TCP and active queueing mechanisms for congestion control; traffic shaping and network calculus; packet switch architectures and scheduling algorithms; routing algorithms; flow assignment and fairness. 4 cr.

ENG SC 544/MN 544 Networking the Physical World

Prereq: ENG SC 312, ENG SC 450 or equivalents; ENG SC 441 is desirable, C programming experience. Considers the evolution of embedded network sensing systems with the introduction of wireless network connectivity. Key themes are computing optimized for resource constrained (cost, energy, memory and storage space) applications and sensing interfaces to connect to the physical world. Studies current technology for networked embedded network sensors including protocal standards. A laboratory component of the course introduces students to the unique characteristics of distributed sensor motes including programming, reliable communication, sensing modalities, calibration, and application development. Experience with the C language is required. Students may not receive credit for both. 4 cr, 1st sem.

ENG SC 551 Advanced Digital Design with Verilog and FPGA

Prereq: ENG SC 311, ENG SC 312 or consent of instructor. Content includes use of HDL (Verilog) for design, synthesis and simulation, and principles of register transfer level (RTL). Programmable logic, such as field programmable gate array (FPGA) devices, has become a major component of digital design. In this class the students learn how to write HDL models that can be automatically synthesized into integrated circuits such as FPGA. Laboratory and homework exercises include writing HDL models of combinational and sequential circuits, synthesizing models, performing simulation, and fitting to an FPGA by using automatic place and route. The course has lab orientation and is based on a sequence of Verilog design examples. 4 cr.

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ENG SC 552 Testing of Interconnection Networks

Prereq: ENG SC 312. A unified presentation of approaches for testing and diagnosis of computer networks starting from the chip level and up to the system level. Test pattern generation algorithms. Path sensitization. Functional and random testing. Testability analysis. Design for testability. SCAN techniques. Test observation. Data compression of test responses. Signature analysis. Built-in-self-testing and self-diagnosis. Testing and diagnosis of multiprocessors and computer communication networks. 4 cr.

ENG SC 560 Introduction to Photonics

Prereq: CAS PY 313. Introduction to ray optics, wave optics, Fourier optics, absorption, dispersion. Polarization, anisotropic media, and crystal optics. Guided-wave and fiber optics. Laboratory experiments: interference; diffraction and spatial filtering; polarizers, retarders, and liquid-crystal displays; fiber-optic communication links. 4 cr.

ENG SC 561 Error-Control Codes

Prereq: CAS MA 193. Introduction to codes for error detection and correction in communication and computation channels, linear algebra over finite fields, bounds, Shannon’s Theorem, perfect and quasi-perfect codes, probability of error detection, Hamming, BCH, MDS, Reed-Solomon, and non-linear codes. Application of codes to error detection/correction in communication channels, computer memories, processors, and multiprocessor systems. Data compression and data reconciliation by error-detecting or error-correcting codes. 4 cr. 

ENG SC 563 Fiber-Optic Communication Systems

Prereq: ENG SC 410, SC 311, SC 415, and SC 560 or consent of instructor. Introduction to fiber optics; components, concepts, and systems design techniques required for the planning, design, and installation of fiber-optic communication systems. Single- and multi-mode LED and semiconductor lasers, detectors, connectors and splices, terminal and repeater electronics, wavelength division multiplexing optical amplifiers and solitons, and systems architecture for point-to-point and local area networks. Laboratory work on fiber and electronic measurements. 4 cr.

ENG SC 565 Electromagnetic Energy Transmission

Prereq: ENG SC 455 or equivalent. Electromagnetic waves and propagation; boundary valve problem approach; boundary interfaces; transmission lines and waveguides; cavity resonators; impedance matching; physical optics and physical basis of fiber optics; antennas and radiation; microwave devices. 4 cr.

ENG SC 566 The Atmosphere and Space Environment

Prereq: differential equations and a scientific programming language. Introduction to the upper atmosphere and ionosphere. The dynamic, electrodynamic, radiative, and chemical processes occurring in the atmosphere from ground level to near-space are developed to establish the conditions found in the upper-atmospheric/ionospheric region. Recent offerings have included numerical simulation of the ionospheric electron density profile. Numerical experiments that change the solar input and neutral atmospheric density, composition, winds, and temperature are then run to study the response of the ionosphere to these factors that control the ionosphere. Recommended for graduate students and advanced undergraduate students in engineering, astronomy, and physics and those with interests in environmental topics. 4 cr.

ENG SC 568 Optical Fiber Sensors

Prereq: ENG SC 455. This course will cover the theory and practice of optical fiber sensors. This course will meet twice a week for two hours. In addition, there will be a three-hour laboratory each week. The focus of the course will be on laboratories involving various types of optical fiber sensors. Grades will be based on laboratory reports as well as a significant laboratory project. 4 cr.

ENG SC 569 Introduction to Subsurface Imaging

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ENG SC 570 Lasers

Prereq: CAS PY 313. Review of wave optics. Gaussian and Hermite-Gaussian optical beams. Planar-and spherical-mirror resonators. Photon streams. Absorption, spontaneous emission, and simulated emission. Laser amplification and gain saturation. Laser oscillation; pulsed lasers. Photon interactions in semiconductors. LEDs and semiconductor injection lasers. Photon detectors. Laboratory experiments: beams; divergence and collimation; electroluminescence; semiconductor injection lasers. 4 cr.

ENG SC 571 VLSI Principles and Applications

Prereq: ENG SC 311, SC 410. Very-large-scale integrated circuit design. Review of FET basics. Functional module design, including BiCMOS, combinational and sequential logic, programmable logic arrays, finite-state machines, ROM, and RAM. Fabrication techniques, layout strategies, scalable design rules, design-rule checking, and guidelines for testing and testability. Analysis of factors affecting speed of charge transfer, power requirements, control and minimization of parasitic effects, survey of VLSI applications. Extensive CAD laboratory accompanies course. 4 cr.

ENG SC 572 VLSI Design Project

Prereq: ENG SC 571, consent of instructor. Students working in a group of one to four people design and simulate a microchip, and create a fabrication file. A project write-up is required. 2 cr.

ENG SC 574 Solid State Devices

ENG SC 575 Semiconductor Devices

Prereq: ENG SC 410, SC 455, and CAS PY 313 or PY 354, or equivalent. Fundamentals of carrier generation, transport, recombination, and storage in semiconductors. Physical principles of operation of the PN junction, metal-semiconductor contact, MOS capacitor, MOSFET (Metal Oxide Semiconductor Field Effect Transistor), JFET (Junction Field Effect Transistor) and bipolar junction transistor. Develops physical principles and models that are useful in the analysis and design of integrated circuits. 4 cr.

ENG SC 578 Fabrication Technology for Integrated Circuits

Prereq or coreq: ENG SC 410. Presentation of fabrication procedures for silicon-integrated circuits: physical properties of bulk and epitaxially grown silicon; silicon processing, such as oxidation, diffusion, epitaxy, deposition, and ion implantation; silicon crystallography, anisotropic etching, photolithography, piezorestivity, and chemical and plasma techniques. The limitations these processes impose on the design of bipolar and MOS devices and integrated circuits. Design of an integrated circuit and the required processing. Includes lab. 4 cr.

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ENG SC 579/MN 579 Microelectronic Device Manufacturing

Prereq: graduate standing plus an undergraduate course in semiconductors at the level of ENG SC 410, SC 471, SC 453, CAS PY 313, or PY 354, or consent of instructor. Physical processes and manufacturing strategies for the fabrication and manufacture of microelectronic devices. Processing and device aspects instrumental in silicon, including the fabrication of doping distributions, etching, photolithography, interconnect construction, and packaging. Future directions and connections to novel devices, MEMS, photonics, and nanoscale structures will be discussed. Emphasis will be on “designing for manufacturability.” The overall integration with methods and tools employed by device and circuit designers will be covered. Same as MN 579, students may not receive credit for both. 4 cr.

ENG SC 580 Modern Active Circuit Design

Prereq: ENG SC 412. Anatomy of an operational amplifier using chip design techniques. Applications of op amps in wave-shaping circuits, active filters including capacitive switching. Analog multiplexing and data acquisition circuits, A/D, D/A, S/H. Frequency selective circuits, interface circuits such as optocouplers and fiberoptics. 4 cr.

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ENG SC 582 RF/Analog IC Design Fundamentals

Prereq: ENG SC 412, ENG SC 571, or consent of instructor. Fundamentals related to CMOS and SiGe BICMOS analog circuits for RF applications. Topics include low noise amplifiers, oscillators, mixers, demodulators, phase-locked loop, switched capacitor circuits, A/D and D/A converters, low power design, RF design techniques, and mixed-signal circuitry typical of modern telecommunications technology. VLSI laboratory exercises involving the design, layout, and simulation of RF/analog integrated circuits using Cadence SpectreRF CAD software tools. Real-world examples in advanced mixed-signal integrated circuit applications, such as a single chip radio. 4 cr.

ENG SC 591 Photonics Lab I

ENG SC 599 Advanced Laboratory Topics in Electrical and Computer Engineering

ENG SC 700 Advanced Topics in Electrical and Computer Engineering

Prereq: graduate standing or consent of instructor. Advanced topics of current interest in electrical and computer engineering. 4 cr.

ENG SC 701/AM 764 Optimal and Robust Control

Prereq: ENG SC/AM 501 or equivalent. Fundamentals of multivariable control analysis and synthesis. Control objectives include achieving robust stability and performance (robust control) and minimization of cost functions (optimal control). Advanced topics include modeling (state space, transfer function matrix), MIMO poles and zeroes, controllability and observability, stability and robustness, structured and unstructured perturbations, the small gain theorem, optimization theory, and the Maximum Principle. Estimation and control techniques include Linear Quadratic (H2), full-state LQR, LQG, (H), and Kalman filtering. Applications and numerical examples taken from robotics, aircraft control, and vibration control. Same as AM 764, students may not receive credit for both. 4 cr.

ENG SC 702 Recursive Estimation and Optimal Filtering

Prereq: ENG SC 505. State-space theory of dynamic estimation in discrete and continuous time. Linear state-space models driven by white noise, Kalman filtering and its properties, optimal smoothing, non-linear filtering, extended and second-order Kalman filters, and sequential detection. Applications to radar, sonar, and optimal multitarget tracking, parameter identification. 4 cr.

ENG SC 707 Radar Remote Sensing

ENG SC 708/MN 708 Advanced Process Control

Prereq: one of ENG SC 402, SC 501, MN 507, or equivalent with permission of instructor. Integrated study of process control and modern control theory. Includes process modeling and simulation, analysis of linear and non-linear dynamics, evaluation and selection of actuators and measurements, control structure design for single and multiple variable systems, and control algorithm design. Examples drawn from a variety of process control applications. Same as MN 508, students may not receive credit for both. 4 cr.

ENG SC 710/MN 710 Dynamic Programming and Stochastic Control

Prereq: CAS MA 381 or ENG EK 500 and ENG SC 402 or SC 501. Introduction to sequential decision making via dynamic programming. The principle of optimality as a unified approach to optimal control of dynamic systems and Markovian decision problems. Applications from control theory and operation research include linear-quadratic problems, the discrete Kalman Filter, inventory control, network, investment, and resource allocation models. Adaptive control and numerical solutions through successive approximation and policy iteration, suboptimal control, and neural network applications involving functional approximations and learning. Same as ENG MN 710. Students may not receive credit for both. 4 cr. See MN 710 for offering information.

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ENG SC 711 Software Architecture

Prereq: ENG SC 511 or consent of instructor. Software architecture with emphasis on large, distributed, concurrent software systems (i.e., software for telecommunications, real-time control systems, e-commerce applications). Architectural design using patterns and object frameworks. Development of software architecture for a software product line (i.e., a group of products sharing key functionality). Review and analysis of the architecture of existing software systems. 4 cr.

ENG SC 712 Advanced Software for Computer Engineers

Prereq: computer networking fundamentals, C, C++, or Java programming experience. Explores the design of software using state-of-the-art technologies; emphasis on distributed systems, Web-based applications, and the use of the latest application frameworks; project-oriented course. 4 cr.

ENG SC 713 Parallel Computer Architecture

Prereq: ENG SC 513. Problems in parallel processing, how they are addressed by current parallel computers, and design of future systems. Topics include characteristics of parallel applications; parallel system support; cache coherency protocols; network interfaces; switch and interconnection network design; scalable systems; and hardware-software tradeoffs. Examples of both small-scale and large-scale parallel systems, including web servers, clusters of networked PCs, MPPs, and vector supercomputers. 4 cr.

ENG SC 715 Wireless Communications

ENG SC 716 Advanced Digital Signal Processing

Prereq: ENG SC 516. Selected topics from time-frequency distributions, parametric signal modeling, high-resolution spectral estimation, multirate signal processing, multidimensional signal processing, adaptive signal processing, alternative algorithms for DFT computation, symbolic and knowledge based signal processing. Application examples chosen from speech, image, communication, and biomedical applications. 4 cr.

ENG SC 717 Image Reconstruction and Restoration

Prereq: ENG SC 416 and SC 505. Principles and methods of reconstructing images and estimating multidimensional fields from indirect and noisy data; general deterministic (variational) and stochastic (Bayesian) techniques of regularizing ill-posed inverse problems; relationship of problem structure (data and models) to computational efficiency; impact of typically large image processing problems on viability of solution methods; problems in imaging and computational vision including tomography and surface reconstruction. Computer assignments. 4 cr.

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ENG SC 719 Statistical Pattern Recognition

Prereq: CAS MA 381 or ENG EK 500. Coreq: ENG SC 505. The statistical theory of pattern recognition, including both parametric and nonparametric approaches to classification. Covers classification with likelihood functions and general discriminant function, density estimation, supervised and unsupervised learning, decision trees, feature reduction, performance estimation, and classification using sequential and contextual information, including Markov and hidden Markov models. A project involving computer implementation of a pattern recognition algorithm is required. 4 cr.

ENG SC 720 Digital Video Processing

Pereq: ENG SC 416, SC 505, SC 520 or equivalent. Review of sampling/filtering in multiple dimensions, human visual system, fundamentals of information theory. Motion analysis: detection, estimation, segmentation, tracking. Image sequence segmentation. Spectral analysis of image sequences. Video enhancement: noise reduction, super-resolution. Video compression: transformation, quantization, entropy coding, error resilience. Video compression standards (H.26X and MPEG families). Future trends in image sequence compression and analysis. Homework and project will require MATLAB programming. 4 cr.

ENG SC 724/MN 724 Advanced Optimization Theory and Methods

Prereq: ENG SC 524/MN 524 or consent of instructor. Complements SC 524/MN 524 by introducing advanced optimization techniques. Emphasis on nonlinear optimization and recent developments in the field. Topics include: unconstrained optimization methods such as gradient, conjugate direction, Newton and quasi-Newton methods; constrained optimization methods such as gradient projection, feasible directions, barrier and interior point methods; duality theory and methods; convex duality; and introduction to other advanced topics such as semi-definite programming, incremental gradient methods and stochastic approximation algorithms. Applications drawn from control, production and capacity planning, resource allocation, communication and neural network problems. Meets with MN 724. Students may not receive credit for both. 4 cr.

ENG SC 725/MN 725 Queueing Systems

Prereq: ENG EK 500, ENG SC 505, or consent of instructor. Performance modeling using queueing networks analysis of product form and nonproduct form networks, numerical methods for performance evaluation, approximate models of queueing systems, optimal design and control of queueing networks. Applications from manufacturing systems, computer systems, and communication networks. Meets with ENG MN 725; students may not receive credit for both. 4 cr. See MN 725 for offering information.

ENG SC 726 Personal Knowledge Engineering

Prereq: fluency in a computer language; consent of the instructor. Introduction to concepts and methods of Knowledge Engineering on a personal scale. Aimed at students who foresee the need to structure and activate information on their own terms in research, business, authoring, presence on the Internet, etc., or do original research in that area. Includes expressing tasks, processes, and documents in terms of essential features and goals, and how to let computers translate this “deep structure” into the “surface expression” appropriate to a desired use. Specifically, how to create “personal agents” to extend the reach in various directions (memory enhancement, Web mining, and task automation). Among the methodological issues to be treated: semantic tagging (e.g., XML) vs. informal structuring; Markovian vs. Bayesian search methods; making the design/fabricate/evaluate cycle accessible to the layman; scripting language as a personal servant. 4 cr.

ENG SC 727 Advanced Coding Theory

Prereq: ENG SC 561 or equivalent. Advanced topics in the theory of error-correcting codes, with an emphasis on decoding algorithms. Various codes and corresponding decoding algorithms: cyclic (BCH, Reed-Solomon), Reed-Muller, Golay, algebraic-geometry (Goppa, Hermitian), and iteratively-decoded codes (turbo and LDPC), graph-based decoding; trellis construction and decoding (Viterbi algorithm), belief propagation (sum-product, min-sum). Various applications: cryptography, data synchronization, and tiling. 4 cr.

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ENG SC 730 Information-Theoretical Design of Algorithms

Recently developed information-theoretical approach to the analysis and design of computer algorithms. Previous knowledge of information theory or the theory of algorithms is not required, though desirable. Main topics include the complexity of algorithms; P, E, NP, and NP–hard problems; basic concepts of information theory, optimal coding; information-theoretical approach to sorting, order statistics, binary search, decision trees, hashing, minimization of Boolean functions, test, and similar problems; and design of efficient computer algorithms. 4 cr.

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ENG SC 731 Applied Plasma Physics

Prereq: ENG SC 565. Statistical description of plasmas as many-body systems. Liouville equation. Distribution functions. Transport phenomena in plasmas. Fokker-Planck theory. Applications for MHD power generation, sputtering, plasma deposition, ambipolar diffusion in machine plasmas. Kinetic equations for plasma. Maxwell-Vlasov theory of plasma waves and plasma instability. Applications to microwave devices, particle beams, space and laboratory plasmas. Fluctuations, correlations, and plasma radiation. Cannot be taken for credit in addition to CAS PY 705. 4 cr.

ENG SC 733/MN 733 Discrete Event and Hybrid Systems

Prereq: ENG EK 500 or equivalent; consent of instructor. Review of system theory fundamentals distinguishing between time-driven and event-driven dynamics. Modeling of Discrete Event and Hybrid Systems: Automata, Hybrid Automata, Petri Nets, basic queueing models, and stochastic flow models. Monte Carlo computer simulation: basic structure and output analysis. Analysis, control and optimization techniques based on Markov Decision Process theory with applications to scheduling, resource allocation and games of chance. Perturbation Analysis and Rapid Learning methods with applications to communication networks, manufacturing systems, and command-control. Meets with ENG MN 733. Students may not receive credit for both. 4 cr.

ENG SC 740/BE 740 Parameter Estimation and System Identification

Prereq: ENG EK 500 or consent of instructor. Application of models with physical parameters to experimental data. Linear and non-linear estimation system identifiability, time and frequency domain estimation, sensitivity and multivariate statistical analysis, and optimal design. Application predominantly to biomedical systems (e.g., cardiovascular, pharmacokinetics). Other applications included. Same as ENG BE 740; students may not receive credit for both. 4 cr. See BE 740 for offering information.

ENG SC 744 Mobile Ad Hoc Networking and Computing

Prereq: ENG SC 541. Consent of instructor. Mobile routers, wireless interconnectivity, and an unpredictably changing topology characterize a Mobile Ad hoc Network (MANET). Covers MANET-specific topics related to resource discovery, handoff, MAC-layer, security, routing, mobility and location management, self-organization, caching, and practical implementations. 4 cr.

ENG SC 751 Design of Asynchronous Circuit and Systems

Prereq: consent of instructor. Introduction to asynchronous circuits and system design. Design of control and data-processing circuits and systems. Review of basic concepts, communication protocols, and circuit implementation styles. Fundamental theoretical concepts including classification (self-timed, speed-independent, delay insensitive), hazards, isochronic forks and arbitration deduced using simple circuit examples. Review of recent research results in asynchronous VLSI circuits and systems both for control and date-path designs. Laboratory exercises to study CAD-based control circuit design methodology. 4 cr.

ENG SC 752 Theory of Computer Hardware Testing

Prereq: ENG SC 533 or equivalent or consent of instructor. At the present time cost of testing is much higher than cost of design and manufacturing for computer systems. The course will contain a unified presentation of approaches for testing and diagnosis of computer hardware. Gate-level testing, functional testing, testing and diagnosis of microprocessors, memory testing, and random testing. Design for testability. Data compression of test responses. Architectures for built-in self-testing and self-diagnosis. Self-error-detection and self-error-correction in processors and memories. 4 cr.

ENG SC 753 Fault-Tolerant Computing

Prereq: ENG SC 533 or equivalent or consent of instructor. This course will cover techniques for design of fault-tolerant digital devices with on-line self-error-detection and self-error-correction. Fault-tolerant PLAs, gate arrays, and computer memories. Fault-tolerant computer architectures. Application of error-detecting and error-correcting codes for design of reliable devices with self-error detection/correction. Design of self-checking checkers. Combining on-line and off-line error-detecting techniques. Reliability analysis of fault-tolerant devices. Self-error detection/correction for multiprocessors. 4 cr.

ENG SC 757 Advanced Microprocessor Design

Prereq: ENG SC 450. This project course provides a varied and practical view of the development cycle of an embedded system design. Topics include hardware and software design methodologies, use of CAD and simulation tools, assemblers, compilers, debuggers, and programmers. Microprocessor architectures from Motorola, Intel, TI, and ARM will be discussed and evaluated. Computer interfaces such as I2C, CAN, USB, PCI, Ethernet, and Bluetooth will be discussed in detail. Students will gain a clear understanding of the design cycle from project definition and proposal to PCB layout and manufacturing. A course design project is required. 4 cr.

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ENG SC 760 Advanced Topics in Photonics

This is an advanced special topics course in photonics; topics will vary from year to year. It will be offered in the spring term when there is no other 700-level course in the photonics area. Students who take the course on two different topics would be able to receive credit for it twice. Some of these offerings may become a permanent part of the curriculum in the future. 4 cr.

ENG SC 761 Information Theory and Coding

Prereq: ENG EK 500, or CAS MA 381, or CAS MA 581; ENG SC 505 recommended. Introduction to information theory; entropy and information; discrete sources; Shannon-McMillan theorem; noiseless coding theorems; noisy channel and information transmission rate; channel capacity; Shannon's theorem for the noisy channel; error correcting codes; continuous messages and continuous channels; reproduction with a fidelity criterion; basic theorem for a continuous channel. 4 cr.

ENG SC 762 Quantum Optics

Prereq: ENG SC 560, or equivalent, or consent of instructor. Review of the postulates of quantum mechanics. Quantization of the electromagnetic field. Coherent, thermal, squeezed, and entangled states, and their associated photon statistics. Interaction of light with matter. Spontaneous and stimulated transitions. Theory of optical detection. Quantum theory of the laser. Interaction of light with two-level atoms, including photon echo and self-induced transparency. Quantum theory of parametric interactions. 4 cr.

ENG SC 763 Nonlinear and Ultrafast Optics

Prereq: ENG SC 560. Tensor theory of linear anisotropic optical media. Second- and third-order nonlinear optics. Three-wave mixing and parametric interaction devices, including second-harmonic generation and parametric amplifiers and oscillators. Four-wave mixing and phase conjugation optics. Electrooptics and photorefractive optics. Generation, compression, and detection of ultra short optical pulses. Femtosecond optics. Pulse propagation in dispersive linear media. Optical solitons. 4 cr.

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ENG SC 764 Optical Measurement

Prereq: ENG SC 560. Detailed discussion of basic principles of major optical effects such as interference, diffraction, and polarization. Analysis of practical applications of interferometry, ellipsometry, photometry, and laser spectroscopy in modern optical measurement such as characterization of industrial processes, environmental control, communication, and laboratory research. 4 cr.

ENG SC 765/BE 765 Biomedical Optics and Biophotonics

This course surveys the applications of optical science and engineering to a variety of biomedical problems, with emphasis on optical and photonics technologies that enable real, minimally-invasive clinical applications. The course teaches only those aspects of biology itself that are necessary to understand the purpose of the application. The first weeks introduce the optical properties of tissue, and following lectures cover a range of topics in three general areas: 1) Optical spectroscopy applied to diagnosis of cancer and other tissue diseases; 2) Photon migration and optical imaging of subsurface structures in tissue; and 3) Laser-tissue interactions and other applications of light for therapeutic purposes. In addition to formal lectures, recent publications from the literature will be selected as illustrative of various topical areas, and for each publication one student will be assigned to prepare an informal presentation (with overhead slides or PowerPoint) reviewing for the class the underlying principles of that paper and outlining the research results. Same as ENG BE 765; students may not receive credit for both. 4 cr.

ENG SC 770 Guided-wave Optoelectronics

Discussion of physics and engineering aspects of integrated optics and optoelectronic devices. Semiconductor waveguides, lasers, and photodetectors. Layered semiconductor structures, quantum wells, and superlattices. QW detectors, emitters, and modulators. OEICs. Photonic switching. 4 cr.

ENG SC 771 Physics of Compound Semiconductor Devices

Prereq: ENG SC 577 or SC 575 or CAS PY 543. Physics of present-day compound devices, and emerging devices based on quantum mechanical phenomena. MESFETs, Transferred Electron Devices, avalanche diodes, photodetectors, and light emitters. Quantum mechanical devices based on low dimensionality confinement through the formation of heterojunctions, quantum wells, and superlattices. High electron mobility transistors, resonant tunneling diodes, quantum detectors, and lasers. Materials growth and characterization are integral to the course. 4 cr.

ENG SC 772 VLSI Graduate Design Project

Prereq: consent of instructor. ENG SC 571. Students working in a group of one to four people design and simulate a microchip, and create a fabrication file. Students submit the design for fabrication. When the chip is returned, students test and if necessary redesign the circuitry. A project write-up is required. Students must take an I-grade until testing of the chip is completed. 4 cr.

ENG SC 775 VLSI Devices and Device Models

Prereq: ENG SC 575. Study of device phenomena in very small and high-speed devices including effects of scaling, interfaces, and high doping. Control of electrical characteristics (threshold voltage, breakdown voltage current gain, switching speed) in small structures and alternative device structures for VLSI. Use of device simulation software. 4 cr.

ENG SC 780 Analog VLSI Design

Prereq: ENG SC 575, SC 580. Analog VLSI circuit design techniques with MOS and CMOS. Modeling, small- and large-signal analysis. Synthesis and analysis of operational amplifiers, comparators, A/D converters, multiplexers, and other interface circuits. Application of active and switched capacitor filters. 4 cr.

ENG SC 850 Graduate Teaching Seminar

First time graduate teaching fellows are required to register for special training which will be organized and facilitated by their assigned professor in cooperation with their department. 0 cr.

ENG SC 891 Seminar: Computer Systems Engineering

A weekly two-hour seminar on recent research topics in computer systems engineering, including reliable computing, computer systems, software engineering, VLSI systems, and other related areas. Speakers include faculty and graduate students in the area. 2 cr.

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ENG SC 892 Seminar: Electro-Physics

A weekly two-hour seminar on recent research topids in the area of electro-physics, including solid state materials and devices, photonics, electromagnetics, computers in physics, and other related areas. Speakers include faculty and graduate students in the area. 2 cr.

ENG SC 893 Seminar: Signals and Systems

A weekly two-hour seminar on recent research topics in the area of signals and systems, including signal and image processing, speech, communication systems, and other related areas. Speakers include faculty and graduate students in the area. 2 cr.

ENG SC 900 Research

By petition only. A project, study, or research carried out under the guidance of a faculty member. Variable cr.

ENG SC 901 Thesis

By petition only. Preparation of an original thesis under the guidance of a faculty advisor. Variable cr.

ENG SC 910 Computer Engineering Design Project

By petition only. Specification and solution of a computer engineering design problem under the direction of a faculty advisor. A final report is required. Variable cr.

ENG SC 911 Systems Design Project

By petition only. Specification and solution of a systems engineering design problem under the direction of a faculty advisor. A final report is required. Variable cr.

ENG SC 912 Software Engineering Project

Prereq: ENG SC 511, SC 518, and consent of instructor. Open only to MS degree candidates. The design and implementation of a large software system. Teams of students utilize methods and computer-support tools taught in graduate Computer Systems Engineering courses. 4 cr.

ENG SC 913 Electrical Engineering Design Project

By petition only. Specification and solution of an electrical engineering design problem under the direction of a faculty advisor. A final report is required. Variable cr.

ENG SC 914 Project in Photonics

By petition only. Specification and solution of a Photonics problem under the direction of a faculty advisor. A final report is required. Variable cr.

ENG SC 951 Independent Study

By petition only. Under faculty supervision, graduate students may study subjects not covered in a regularly scheduled course. A final report and/or written examination is required. Variable cr.

ENG SC 991 Dissertation

Advisor and hours arranged. Variable cr.

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RELATED COURSES

Astronomy (AS), College of Arts and Sciences and Graduate School

Below is a list of the graduate astronomy courses, by number and title only. For descriptions, refer to the Boston University Graduate School of Arts and Sciences Bulletin.

GRS AS 701 Introduction to Astrophysics

GRS AS 703 Introduction to Space Physics

GRS AS 710 Observational Techniques

GRS AS 712 Radiative Processes in Astrophysics

GRS AS 713 Astronomical Spectroscopy

GRS AS 725 Gravitational Astrophysics

GRS AS 726 Cosmic Gas Dynamics

GRS AS 727 Cosmic Plasma Physics

GRS AS 751 Galactic Astronomy and the Interstellar Medium

GRS AS 753 Stars and Stellar Systems

GRS AS 755 Radio Astrophysics

GRS AS 757 High-Energy Astrophysics

GRS AS 759 Galaxies and Cosmology

GRS AS 761 Interstellar Chemistry

GRS AS 781 Planetary Atmospheres

GRS AS 783 Ionospheres

GRS AS 785 Magnetospheres

GRS AS 791 Special Topics in Astrophysics

GRS AS 793 Special Topics in Space Physics

GRS AS 850, 851 Astrophysics Seminar

GRS AS 865, 866 Space Physics Seminar

Biology (BI), College of Arts and Sciences and Graduate School

CAS BI 503 Symbiosis

CAS BI 504 Evolution

CAS BI 508 Behavioral Ecology

CAS BI 518 Reproductive Strategies of Marine Mammals of the Caribbean

CAS BI 522 Topics in Genetics

CAS BI 526 Marine Biochemical Ecology

CAS BI 527/528 Biochemistry Laboratory I & II

CAS BI 529 Modeling and Monitoring Terrestrial Ecosystems Processes

CAS BI 531 Ichthyology I

CAS BI 532 Ichthyology II

CAS BI 534 Topics in Marine Ecology

CAS BI 537 Marine Botany

CAS BI 544 Cell Motility and Cytoskeleton (CM)

CAS BI 545 Neurobiology of Motivated Behavior

CAS BI 547 Marine Invertebrates: Natural History and Molecular Phylogeny

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CAS BI 549 Molecular Phylogenetics and Evolution

CAS BI 552 Molecular Biology I

CAS BI 553 Molecular Biology II

CAS BI 554 Neuroendocrinology

CAS BI 555 Techniques in Cell Biology

CAS BI 556 Membrane Biochemistry

CAS BI 557 Biological Transport Mechanisms

CAS BI 562 Seminar in Marine Science

CAS BI 567 Marine Symbiosis

CAS BI 568 Modeling of Biological Sensory Systems

CAS BI 570 Cognitive Ethology

CAS BI 575 Techniques in Cellular and Molecular Neuroscience

CAS BI 581, 582 Seminar: Biology

CAS BI 583, 584 Seminar: Progress in Cell and Molecular Biology

CAS BI 585, 586 Seminar: Progress in Physiology and Anatomy

CAS BI 589, 590 Seminar: Progress in Marine Science

CAS BI 594 Topics in Neurobiology

CAS BI 596 Topics in Sensory Biology of Aquatic Animals

CAS BI 598 Analysis of Biological Data

CAS BI 599 Neurobiology of Synapses

GRS BI 605 Biology of Fungi

GRS BI 606 Mammalian Cell and Tissue Structure

GRS BI 607 Animal Behavior

GRS BI 610 Cellular Aspects of Development and Differentiation

GRS BI 612 Comparative Physiology

GRS BI 613 Microbial Ecology

GRS BI 614 Ornithology

GRS BI 615 Biology of Mammals

GRS BI 617 Biology of Lakes and Rivers

GRS BI 621 Biochemistry I

GRS BI 622 Biochemistry II

GRS BI 623 Marine Biogeochemistry

GRS BI 625 General Endocrinology

GRS BI 635 Immunology

GRS BI 642 Physiology and Biochemistry of Reproduction

GRS BI 645 Cellular and Molecular Neurophysiology

GRS BI 646 Biology of the Cell Cycle

GRS BI 647 Vascular Physiology

GRS BI 648 Biodiversity and Conservation Biology

GRS BI 652 Advanced Physiology

GRS BI 655 Developmental Neurobiology

GRS BI 661 Marine Mammals

GRS BI 663 Chemosensory Biology

GRS BI 665 Marine Cell Biology

GRS BI 666 Marine Ecology

GRS BI 667 Marine Symbiosis

GRS BI 668 Marine Microbial Ecology

GRS BI 673 Variety of Life: Aquatic Diversity

GRS BI 674 Genes and Populations

GRS BI 676 Neurobiology/Biophysics

GRS BI 677 Principles of Marine Pollution

GRS BI 678 Experimental Marine Biology

GRS BI 679 Physical Oceanography

GRS BI 681 Neurochemistry

GRS BI 699 Teaching College Biology I

GRS BI 701, 702 Graduate Readings in Biology

GRS BI 703 Ultrastructure

GRS BI 708 Biochemical and Molecular Aspects of Development

GRS BI 735 Advanced Cell Biology

GRS BI 755 Cellular and Systems Neuroscience

GRS BI 756 Systems and Behavioral Neuroscience

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Chemistry (CH), College of Arts and Sciences and Graduate School

GRS CH 525 Physical Biochemistry

GRS CH 541 Natural Products Chemistry

GRS CH 551 Chemical Dynamics

GRS CH 552 Electrochemistry

GRS CH 553, 554 Molecular Structure Determination

GRS CH 612 Separation Methods in Chemistry and Biochemistry

GRS CH 621 Biochemistry I

GRS CH 622 Biochemistry II

GRS CH 631 Advanced Inorganic Chemistry

GRS CH 641 Physical Organic Chemistry

GRS CH 642 Organic Reaction Mechanisms

GRS CH 643 Synthetic Methods of Organic Chemistry

GRS CH 644 Medicinal Chemistry

GRS CH 651, 652 Molecular Quantum Mechanics

GRS CH 653 Equilibrium Statistical Mechanics

GRS CH 654 Methods of Chemical Physics

GRS CH 722 Protein Chemistry

GRS CH 723 Physical Chemistry of Biological Macromolecules

GRS CH 724 Special Topics in Biochemistry

GRS CH 731 Special Topics in Inorganic Chemistry

GRS CH 741 Organic Spectroscopy and Structure Determination

GRS CH 743 Organometallic Chemistry

GRS CH 744 Current Topics in Organic Chemistry

GRS CH 751 Advanced Topics in Physical Chemistry

GRS CH 752 Advanced Topics in Chemical Physics

Cognitive and Neural Systems (CN), College of Arts and Sciences and Graduate School

CAS CN 500 Computational Methods in Cognitive and Neural Systems

CAS CN 510 Principles and Methods of Cognitive and Neural Modeling I

CAS CN 520 Principles and Methods of Cognitive and Neural Modeling II

CAS CN 530 Neural and Computational Models of Vision

CAS CN 540 Neural and Computational Models of Adaptive Movement Planning and Control

CAS CN 550 Neural and Computational Models of Recognition, Memory, and Attention

CAS CN 560 Neural and Computational Models of Speech Perception and Production

CAS CN 570 Neural and Computational Models of Conditioning, Reinforcement, Motivation, and Rythm

CAS CN 580 Introduction to Computational Neuroscience

GRS CN 699 Teaching College Cognitive and Neural Systems I

GRS CN 700 Computational and Mathematical Methods in Neural Modeling

GRS CN 710 Advanced Topics in Neural Modeling

GRS CN 720 Neural and Computational Models of Planning and Temporal Structure in Behavior

GRS CN 730 Models of Visual Perception

GRS CN 740 Topics in Sensory Motor

GRS CN 760 Topics in Speech Perception and Recognition

GRS CN 780 Topics in Computational Neuroscience

GRS CN 810 Topics in Cognitive and Neural Systems: Visual Event Perception

GRS CN 811 Topics in Cognitive and Neural Systems: Visual Perception

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Mathematics (MA), College of Arts and Sciences and Graduate School

CAS MA 502 Fundamentals of Finance

CAS MA 505 History of Mathematics

CAS MA 511 Introduction to Analysis I

CAS MA 512 Introduction to Analysis II

CAS MA 528 Introduction to Modern Geometry

CAS MA 531 Computability and Logic

CAS MA 532 Foundations of Mathematics

CAS MA 539 Methods of Scientific Computing

CAS MA 541 Modern Algebra I

CAS MA 542 Modern Algebra II

CAS MA 547 Topics in Number Theory

CAS MA 548 Problem Solving in Number Theory

CAS MA 555 Numerical Analysis I

CAS MA 556 Numerical Analysis II

CAS MA 561 Methods of Applied Mathematics I

CAS MA 562 Methods of Applied Mathematics II

CAS MA 563 Introduction to Differential Geometry

CAS MA 564 Introduction to Topology

CAS MA 565 Mathematical Models in the Life Sciences

CAS MA 567 Mathematical Models of the Mind

CAS MA 569 Optimization Methods of Operations Research

CAS MA 570 Stochastic Methods of Operations Research

CAS MA 572 Introduction to Mathematical Finance

CAS MA 573 Qualitative Theory of Ordinary Differential Equations

CAS MA 574 Applied Nonlinear Dynamics

CAS MA 594 Stochastic Optimal Control and Investment

CAS MA 671 Chaotic Dynamical Systems

GRS MA 711 Real Analysis

GRS MA 713 Functions of a Complex Variable I

GRS MA 717 Functional Analysis

GRS MA 718 Functional Analysis II

GRS MA 721 Differential Topology I

GRS MA 722 Differential Topology II

GRS MA 725 Differential Geometry I

GRS MA 726 Differential Geometry II

GRS MA 727 Algebraic Topology I

GRS MA 728 Algebraic Topology II

GRS MA 731 Lie Groups and Lie Algebras

GRS MA 741 Algebra I

GRS MA 742 Algebra II

GRS MA 743 Algebraic Number Theory I

GRS MA 744 Algebraic Number Theory II

GRS MA 745 Algebraic Geometry II

GRS MA 746 Algebraic Geometry II

GRS MA 761 Applied Analysis

GRS MA 771 Introduction to Dynamical Systems

GRS MA 775 Ordinary Differential Equations

GRS MA 776 Partial Differential Equations

GRS MA 822 Topics in Geometry and Topology

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Statistics Courses

CAS MA 570 Stochastic Methods of Operations Research

CAS MA 572 Introduction to Mathematical Finance

CAS MA 575 Applied Regression and Analysis of Variance I

CAS MA 576 Applied Regression and Analysis of Variance II

CAS MA 578 Bayesian Statistics

CAS MA 581 Probability

CAS MA 582 Mathematical Statistics

CAS MA 583 Introduction to Stochastic Processes

CAS MA 585 Statistical Methods for Quality Control

CAS MA 586 The Design of Experiments

CAS MA 587 Sampling Design: Theory and Methods

CAS MA 588 Nonparametric Statistics

CAS MA 589 Reliability Methods

CAS MA 591 Introduction to Sequential Analysis

CAS MA 613 Statistical Methods I

CAS MA 614 Statistical Methods II

CAS MA 684 Multivariate Analysis

CAS MA 685 Advanced Topics in Applied Statistical Analysis

GRS MA 750 Methods of Statistical Modeling I

GRS MA 751 Methods of Statistical Modeling II

GRS MA 780 Probability Theory

GRS MA 781 Estimation Theory

GRS MA 782 Hypothesis Testing

GRS MA 783 Theory of Regression and Analysis of Variance

GRS MA 784 Topics in Multivariate Analysis

GRS MA 785 Time Series Modeling and Forecasting

GRS MA 786 Advanced Time Series Analysis

GRS MA 787 Applied Statistical Theory

GRS MA 788 Topics in Applied Statistics

GRS MA 789 Stochastic Processes

GRS MA 790 Topics in Probability

GRS MA 791 Recent Advances in Probability and Statistics I

GRS MA 792 Recent Advances in Probability and Statistics II

GRS MA 793 Limit Theorems in Probability and Statistics

GRS MA 795 Stochastic Calculus I

GRS MA 796 Stochastic Calculus II

GRS MA 799 Nonparametric Curve Estimation

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Computer Science (CS), College of Arts and Sciences and Graduate School

CAS CS 511 Software Engineering

CAS CS 512 Parallel Algorithms and Programs

CAS CS 520 Programming Languages

CAS CS 525 Compiler Design Theory

CAS CS 530 Analysis of Algorithims

CAS CS 535 Complexity Theory

CAS CS 537 Probability in Computing

CAS CS 538 Cryptography and Cryptanalysis

CAS CS 540 Artificial Intelligence

CAS CS 545 Natural Language Processing

CAS CS 547 Expert Systems

CAS CS 550 Computer Architecture II

CAS CS 552 Introduction to Operating Systems

CAS CS 555 Data Communications

CAS CS 560 Introduction to Database Systems

CAS CS 580 Advanced Computer Graphics

CAS CS 585 Image and Video Computing

CAS CS 591 Topics in Computer Science

CAS CS 670 Performance Analysis of Computer Systems

GRS CS 680 Graduate Introduction to Computer Graphics

GRS CS 720 Advanced Programming Languages

GRS CS 725 Compiler Construction

GRS CS 752 Advanced Operating Systems Theory

GRS CS 760 Database Systems

GRS CS 791, 792 Advanced Topics in Computer Science

GRS CS 835 Computer Science Seminar

Physics Courses (PY), College of Arts and Sciences and Graduate School

CAS PY 501 Mathematical Physics

CAS PY 502 Computational Physics

CAS PY 511 Quantum Mechanics I

CAS PY 512 Quantum Mechanics II

CAS PY 521 Electromagnetic Theory I

CAS PY 522 Electromagnetic Theory II

CAS PY 531 Classical Mechanics

CAS PY 541 Statistical Mechanics I

CAS PY 542 Statistical Mechanics II

CAS PY 543 Introduction to Solid-State Physics

CAS PY 551 Introduction to Particle Physics

CAS PY 561 Introduction to Nuclear Physics

CAS PY 581 Advanced Laboratory

GRS PY 621 Advanced Scientific Computing in Physics

GRS PY 681 Electronics for Scientists

GRS PY 701, 702 Advanced Mathematical Physics

GRS PY 711 Advanced Quantum Theory for Condensed Matter

GRS PY 713 Quantum Field Theory I

GRS PY 714 Quantum Field Theory II

GRS PY 731 Theory of Relativity

GRS PY 741 Solid-State Physics I

GRS PY 742 Solid-State Physics II

GRS PY 743 Low-Temperature Physics

GRS PY 744 Polymer Physics

GRS PY 747 Advanced Statistical Mechanics

GRS PY 751, 752 High-Energy Physics

GRS PY 761 Nuclear Physics

GRS PY 762 Intermediate Energy Physics

GRS PY 771 Biophysics

GRS PY 811 Advanced Quantum Field Theory

GRS PY 841 Symmetry in Solid-State Physics

GRS PY 842 Many-Body Topics in Solid-State Physics

GRS PY 891, 892 Seminar: Philosophical Foundations of Physics

GRS PY 895, 896 Seminar: Special Topics in Theoretical Physics

GRS PY 897, 898 Seminar: Special Topics in Experimental Physics

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Related School of Management Offerings

Graduate Courses

GSM AC 710 Financial and Managerial Accounting

GSM AC 810 Managerial Cost Accounting

GSM AC 811 Corporate Financial Reporting

GSM AC 814 Financial Statement Analysis and Investor Decisions

GSM CD 870 Management of Technology

GSM CD 880 Product Design and Development

GSM FE 721 Financial Management

GSM FE 820 Corporate Financial Management

GSM FE 822 Money and Capital Markets

GSM FE 823 Investments

GSM FE 827 International Finance Management

GSM MK 723 Marketing Management

GSM MK 850 Direct Marketing

GSM MK 852 Marketing Research

GSM MK 854 Product Strategy and Management

GSM MK 856 Consumer Behavior

GSM MK 857 Marketing for Services

GSM MK 859 Business Marketing

GSM MK 860 Advertising Management

GSM OB 844 Managing Conflict and Change

GSM OB 853 Negotiations

GSM OM 725 Operations Management

GSM OM 877 Service Operations Management

GSM OM 879 Global Operations Strategy

GSM QM 716 Data Analysis and Quantitative Decision Making

GSM QM 860 Management Science

GSM QM 887 Experimental Design and Sampling

SMG SP 838 Technology Commercialization

Additional Graduate Course Offerings

Medical School

GMS MS 703 Neuroscience

GMS MS 753 Cell Biology

GMS PH 542/543 Human Physiology

College of Health and Rehabilitation Services (Sargent College)

SAR HS 542 Advanced Exercise Physiology

SAR HS 550 Neural Systems

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Boston, MA 02215

10 September 2007
Boston University
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