• ENG BF 768: Biological Database Analysis
    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. Introduces the relational database query language SQL. Describes methods for ensuring data consistency and data retrieval efficiency. Object-oriented programming is introduced primarily as an implementation aid for constructing, loading, and accessing databases. Utilizes web-based programming tools to implement user access to databases. Emphasis will be on solving problems associated with large and complex data sets. Course includes a final project implementing a database using real data from a local biology/medical school lab.
  • ENG BF 778: Physical Chemistry for Systems Biology
    This course introduces students to quantitative modeling in bioinformatics and systems biology. We begin with basic principles of statistical thermodynamics, chemical kinetics, with selected applications in biomolecular systems. Next we describe molecular driving forces in biology, and computation with biomolecular structures. Finally we discuss quantitative models of biomolecular networks, and design principles of biological circuits.
  • ENG BF 810: Phd Lab Rotat'N
    This course description is currently under construction.
  • ENG BF 821: Bioinfo Gradsem
    This course description is currently under construction.
  • ENG EC 311: Introduction to Logic Design
    Introduction to hardware building blocks used in digital computers. Boolean algebra, combinatorial and sequential circuits: analysis and design. Adders, multipliers, decoders, encoders, multiplexors. Programmable logic devices: read-only memory, programmable arrays, Verilog. Counters and registers. Includes lab. 4 cr,
  • ENG EC 327: Introduction to Software Engineering
    Undergraduate Prerequisites: ENG EK 127 or ENG EK 128
    This course aims to introduce students to software design, programming techniques, data structures, and software engineering principles. The course is structured bottom up, beginning with basic hardware followed by an understanding of machine language that controls the hardware and the assembly language that organizes that control. It then proceeds through fundamental elements of functional programming languages, using C as the case example, and continues with the principles of object-oriented programming, as principally embodied in C++ but also its daughter languages Java, C#, and objective C. The course will conclude with an introduction to elementary data structures and algorithmic analysis. Throughout, the course develops core competencies in software engineering, including programming style, optimization, debugging, compilation, and program management, utilizing a variety of Integrated Development Environments and operating systems. 4 cr.
  • ENG EC 330: Applied Algorithms for Engineers
    Undergraduate Prerequisites: ENG EC 327 and CAS MA 193.
    Introduction to the general concept of algorithms. Efficiency and run-time of algorithms. Graph algorithms, priority queues, search trees. Various approaches to design of algorithms and data structures, together with their applications to numerical and non-numerical problems. 4 cr.
  • ENG EC 381: Probability Theory in Electrical and Computer Engineering
    Undergraduate Prerequisites: CAS MA 225.
    Introduction to modeling uncertainty in electrical and computer systems. Experiments, models, and probabilities. Discrete and continuous random variables. Reliability models for circuits. Probability distributions. Moments and expectations. Random vectors. Functions of random variables. Sums of random variables and limit theorems. Signal detection and estimation. Basic stochastic processes. Discrete-time Markov chains. State-diagrams. Applications to statistical modeling and interpretation of experimental data in computer, communication, and optical systems. 4cr,
  • ENG EC 401: Signals and Systems
    Undergraduate Prerequisites: CAS MA 226 and ENG EK 307.
    Cannot be taken for credit in addition to ENG BE 401. Continuous-time and discrete-time signals and systems. Convolution sum, convolution integral. Linearity, time-invariance, causality, and stability of systems. Frequency domain analysis of signals and systems. Filtering, sampling, and modulation. Laplace transform, z-transform, pole-zero plots. Linear feedback systems. Includes lab. 4 cr.
  • ENG EC 402: Control Systems
    Undergraduate Prerequisites: CAS MA 226 ; ENG EK 307 ; ENG EC 401.
    Analysis of linear feedback systems, their characteristics, performance, and stability. The Routh-Hurwitz, root-locus, Bode, and Nyquist techniques. Design and compensation of feedback control systems. 4 cr.
  • ENG EC 410: Introduction to Electronics
    Undergraduate Prerequisites: ENG EK 307.
    Principles of diode, BJT, and MOSFET circuits. Graphical and analytical means of analysis. Piecewise linear modeling; amplifiers; digital inverters and logic gates. Biasing and small-signal analysis, microelectronic design techniques. Time-domain and frequency domain analysis and design. Includes lab. 4 cr.
  • ENG EC 412: Analog Electronics
    Undergraduate Prerequisites: ENG EC 410.
    Continuation of ENG EC 410. Topics include detailed analysis of differential amplifiers, design and principles of operational amplifier including multistage circuit structure, BJT, MOSFET, CMOS, and BiCMOS design principles, active filters and oscillators, negative and positive feedback, and power devices. Includes lab. 4 cr
  • ENG EC 413: Computer Organization
    Undergraduate Prerequisites: ENG EC 311.
    Introduction to the fundamentals and design of computer systems. Topics covered include computer instruction sets, assembly language programming, arithmetic circuits, CPU design (data path and control, pipelining), performance evaluation, memory devices, memory systems including caching and virtual memory, and I/O. Project using design automation tools. Includes lab. 4 cr.
  • ENG EC 416: Introduction to Digital Signal Processing
    Undergraduate Prerequisites: ENG EC 401.
    Introduces techniques of digital signal processing and application to deterministic as well as random signals. Topics include representation of discrete-time random signals, A/D conversion, D/A conversion, frequency domain and z-domain analysis of discrete-time signals and systems, discrete-time feedback systems, difference equation and FFT based realizations of digital filters, design of IIR Butterworth filters, window-based FIR filter design, digital filtering of random signals, FFT-based power spectrum analysis. Includes lab. 4 cr.
  • ENG EC 417: Electric Energy Systems: Adapting to Renewable Resources
    Undergraduate Prerequisites: ENG EK 307.
    This course will present a detailed perspective of electric power systems from generation, transmission, storage, to distribution to end users. Significant emphasis will be placed on methodologies for reliable and efficient transmission and distribution of power over the grid including challenges for adapting to renewable resources such as photovoltaics and wind. Conventional approaches will be presented with emphasis to future technology such as the "smart grid". Analysis of 3-phase power will be presented using numerous examples. Items such as power system stability, security, reliability will be covered. Optimization methods, models, simulation techniques, monitoring and control, grid storage technologies, and micro-grids will also be discussed. Power electronics will be introduced specifically in reference to high voltage circuits. Finally, planning for large numbers of electric vehicles will present new challenges to the effective distribution of power which will be discussed from both centralized and decentralized approaches.
  • ENG EC 440: Introduction to Operating Systems
    Undergraduate Prerequisites: ENG EC 327.
    Operating system concepts and design objectives. Concurrent processes, process synchronization, and deadlocks. Resource management including virtual memory, CPU scheduling, and secondary storage. File structures, input/output, and distributed systems. Case studies of popular operating systems. 4 cr.
  • ENG EC 441: Introduction to Computer Networking
    Undergraduate Prerequisites: ENG EC 381 and ENG EC 401.
    Computer networks, focusing on the Internet. Application protocols (Web, E-mail), basics of socket programming, major Internet protocols (TCP and IP), fundamental aspects of routing and reliable data transfer over networks, medium access protocols, wired and wireless Local Area Networks (LANs) technologies. Hands-on laboratory modules on client-server programming, Internet experiments, and protocol implementation. Includes lab. 4 cr.
  • ENG EC 447: Software Design
    Undergraduate Prerequisites: ENGEC327
    Object-oriented software design for desktop applications with a graphical user interface. C# and Microsoft .NET programming assignments. Provides a solid foundation in modern programming for engineering and other applications. 4 cr
  • ENG EC 450: Microprocessors
    Undergraduate Prerequisites: ENG EC 327.
    This course focuses on the interface between the digital world and the physical world. Hardware and software design methodology for embedded microcomputers. Open laboratory and projects and considerable hands-on work. Architecture, hardware, I/O, interrupts, memory organization and decoding. Uses the TI MSP430 family microcontrollers. Peripheral devices including general digital I/O, timers, analog to digital converters, and synchronous serial interfaces SPI and I2C. The course stresses the dependency of hardware and software design on project identification, rationale, and goals. Includes lab.
  • ENG EC 451: Directed Study
    Student may, under the supervision of a faculty member, undertake individual study of a subject relevant to electrical, computer, and systems engineering, if the subject is not covered in a regularly scheduled course. Tangible evidence of achievement must be submitted at the end of the semester. Variable cr.