Courses

The listing of a course description here does not guarantee a course’s being offered in a particular term. Please refer to the published schedule of classes on the MyBU Student Portal for confirmation a class is actually being taught and for specific course meeting dates and times.

• ENG MS 735: CMPTNL NANOMECH
  Undergraduate Prerequisites: Graduate standing, ME 521 (Continuum Mechanics), Linear Algebra, Ordin ary Differential Equations. Partial differential equations helpful, bu t not required. - This course description is currently under construction.
• ENG MS 736: Biomedical Transport Phenomena
  Undergraduate Prerequisites: (ENGBE436) - Students are introduced to the analysis and characterization of physiological systems and biomedical devices in which chemical reaction and the transport of mass and momentum play predominant roles. Fundamental scientific issues and analytical techniques are introduced and applied to case studies of specific engineering problems. Some knowledge of a high-level computer programming language is essential. A two-hour computer lab is required.
• ENG MS 742: Bio-Fluids and Structural Mechanics
  Graduate Prerequisites: ME 542 - Mechanics of biological systems, with emphasis on biological application of fluid mechanics. Topics will be chosen from the following: cardiovascular dynamics--pulsatile flow, vessel elasticity, non-Newtonian behavior, flow in bifurcations, thermodilution; pulmonary dynamics--oscillatory flow, convection-diffusion interactions, surface tension effects, high frequency ventilation, turbulence; clinical applications--urodynamics, bone fracture, dental mechanics, male impotency; mechanics of propulsion--microorganisms in viscous liquids, swimming, flying.
• ENG MS 774: Semiconductor Quantum Structures and Photonic Devices
  Undergraduate Prerequisites: (ENGEK500) or equivalent, knowledge of stochastic processes, or consent of the in structor. - Optical properties of semiconductors: interband optical transitions; excitons. Low-dimensional structures: quantum wells, superlattices, quantum wires, quantum dots, and their optical properties; intersubband transitions. Lasers: double-heterojunction, quantum-well, quantum-dot, and quantum-cascade lasers; high-speed laser dynamics. Electro-optical properties of bulk and low-dimensional semiconductors; electroabsorption modulators. Detectors: photoconductors and photodiodes; quantum-well infrared photodetectors. Same as ENG EC 774. Students may not receive credit for both.
• ENG MS 778: Micromachined Tranducers
  Graduate Prerequisites: ME 555/MS 555 or consent of instructor. - The field of micro-electromechanical devices and systems (MEMS) has been growing at an exciting pace in recent years. The interdisciplinary nature of both micro-machining techniques and their applications can and does lead to exciting synergies. This course will explore the world of mostly silicon-based micro-machined transducers, i.e., micro-sensors and micro-actuators. This requires an awareness of material properties, fabrication technologies, basic structural mechanics, sensing and actuation principles, circuit and system issues, packaging, calibration, and testing. The material will be covered through a combination of lectures, case studies, individual homework assignments, and design projects carried out in teams.
• ENG MS 781: Electroceramics
  This course will explore the structure property relationships and phenomena in ceramic materials used in electronic, dielectric, ferroelectric, magnetic, and electrochemical applications. In particular we will discover how to functionalize a component for a particular application- a capacitor, a thermistor, actuator, or a fuel cell. Such a discovery process demands an in-depth understanding of the roles and interrelationships between the crystal structure, defect chemistry, microstructure, and texture in such materials. Statistical thermodynamics, quantum mechanics, and solid mechanics principles will be used as and when necessary in the course. The course is intended to fit in the space and act as a bridge between solid state theory where the emphasis is largely on theory and a ceramic materials course where the emphasis is largely on processing. Same as ENG ME 781. Students may not receive credits for both.
• ENG MS 782: Advanced Materials Characterization
  This course will discuss the characterization of materials' atomic and electronic structure. Atomic structure evaluation by x-ray diffraction, selected area- and convergent-beam electron diffraction; microstructure evaluation by transmission electron microscopy, principles of bright-field, dark-field and weak-beam imaging; principles of analytical electron microscopy using EDS, WDS, AES; study of chemical and bonding states by EELS, Raman spectroscopy and XPS/ESCA; laser-based non-destructive evaluation of mechanical properties of materials. Characterization methods for semiconductors include the study of point defects by electron paramagnetic resonance, of transport properties by magnetoresistance and Hall effect, of recombination phenomena by photoluminescennce and of junction properties by capacitance-voltage methods.
• ENG MS 810: PhD Internship in Material Science & Engineering
  Graduate Prerequisites: Permission of advisor and an approved internship offer; at least two c omplete semesters in the SE PhD program. - This course provides MSE PhD students the opportunity to include a paid internship as part of their professional training. The internship must be related to the student's are of study. International students require CPT authorization. Written summary required. Graded P/F. Prerequisite: Permission of advisor and an approved internship offer; at least two complete semesters in the MSE PhD program. Full-time (30-40 hours/week for at least 12 weeks) = 4 credits; part-time (15-20 hours/week for at least 12 weeks) = 2 credits.
• ENG MS 900: PhD Research
  Undergraduate Prerequisites: Graduate standing. - Graduate Prerequisites: Restricted to pre-prospectus PhD students. - Participation in a research project under the direction of a faculty advisor leading to the preparation and defense of a PhD prospectus.
• ENG MS 925: No Longer Offered
  No longer offered
• ENG MS 951: Independent Study
  Undergraduate Prerequisites: By petition only - Graduate students may study, under a faculty member's supervision, subjects not covered in a regularly offered course. Final report and/or written examination normally required.
• ENG MS 952: MS Mentored Project
  Students who are pursuing a project to satisfy their practicum requirement for the MS without Thesis and MEng degrees will register for up to 4 credits of this course. The course may be taken more than once up to four credits (ex. two credits in Fall, two credits in Spring). Students will select a suitable project, with a mentor, that can be completed in 4 credits. The Graduate Committee must approve all proposed projects. Each student must write a project report at the end of the course that will be graded P/F by their project mentor.
• ENG MS 954: MS Thesis
  Undergraduate Prerequisites: Graduate standing. - Graduate Prerequisites: Restricted to MS students by petition only. - Participation in a research project under the direction of a faculty advisor leading to the preparation of an original MS thesis. For students pursuing an MS thesis to satisfy the practicum requirement for the MS degree.
• ENG MS 991: PhD Dissertation
  Undergraduate Prerequisites: Graduate standing. - Graduate Prerequisites: MS 900; restricted to post-prospectus PhD students. - Participation in a research project under the direction of a faculty advisor leading to the preparation and defense of an original PhD dissertation.
• ENG SE 501: Dynamic Systems Theory
  Undergraduate Prerequisites: Familiarity with differential equations and matrices at the level of E NG ME 404 or CAS MA 242, or consent of instructor. - Introduction to analytical concepts and examples of dynamic systems and control. Mathematical description and state space formation 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 system identification using computer tools and laboratory experiments. Meets with ENGEC501 and ENGME501; students may not receive credit for both.
• ENG SE 523: Deep Learning
  Mathematical and machine learning background for deep learning. Feed-forward networks., Backpropagation. Training strategies for deep networks. Convolutional networks. Recurrent neural networks. Deep reinforcement learning. Deep unsupervised learning. Exposure to Tensorflow and other modern programming tools. Other recent topics, time permitting. Same as CAS CS 523 and ENG EC 523. Students may not receive credits for both.
• ENG SE 524: Optimization Theory and Methods
  Undergraduate Prerequisites: (ENGEK102 OR CASMA142) - 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. Other illustrative applications include fleet management, air traffic flow management, optimal routing in communication networks, and optimal portfolio selection. Same as ENG Ec 524, ENG EC 674, ENG SE 674. Students may not receive credit for both.
• ENG SE 543: Sustainable Power Systems: Planning, Operation and Markets
  Undergraduate Prerequisites: Graduate/Senior status and consent of instructor. - Breakthroughs in clean energy generation technologies and the advantage of exploiting efficiently the available work in fossil fuels will render electricity the dominant energy form in a sustainable environment future. We review the key characteristics of Electric Power Transmission and Distribution (T&D) networks and the associated planning and operation requirements that ensure supply adequacy, system security and stability. Capital asset investment and operation cost minimization is discussed in a systems engineering context where the assets as well as the dynamic behavior of generators, T&D networks, and loads interact. Recent developments in the formation of competitive wholesale markets at the High Voltage Transmission system level, the associated market participation and clearing rules and the market clearing optimization algorithms are presented and analyzed in terms of their effectiveness in fostering cost reflective price signals and competitive conditions that encourage optimal distributed/not-centralized investment and operating decisions. Finally, we present T&D congestion and supply-demand imbalance related barriers to the widespread adoption of environmentally friendly and economically efficient technological breakthroughs, and propose a systems engineering and real-time retail-market based coordination of centralized as well as decentralized generation, storage and load management resources that is able to achieve desirable synergies and mitigate these barriers. Same as ENG EC 543 and ENG ME 543. Students may not receive credits for both.
• ENG SE 544: Networking the Physical World
  Undergraduate Prerequisites: ENG EC 312 or ENG EC 450; ENG EC 441 is desirable, C programming exper ience required. - 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 protocol 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. Same as ENG EC 544 and ENG ME 544. Students may not receive credit for both.
• ENG SE 545: Cyber-Physical Systems
  Undergraduate Prerequisites: (ENGEC311 & ENGEC327 & ENGEC330) Or equivalent knowledge of Boolean algebra and finite state machines. Experience with programming embedded systems (eg EC535) is recommended but not required. - This course introduces students to the principles underlying the design and analysis of cyber-physical systems - computational systems that interact with the physical world. We will study a wide range of applications of such systems ranging from robotics, through medical devices, to smart manufacturing plants. A strong emphasis will be put on building high-assurance systems with real-time and concurrent behaviors. The student will gain both in-depth knowledge and hands-on experience on the specification, modeling, design, and analysis of representative cyber-physical systems. Meets with ENG EC 545. Students may not receive credit for both.