Bioengineering

Computer Science

Electrical and Computer Engineering   

Mechanical Engineering

Systems Science and Industrial Engineering   

Bioengineering

BE 472 - Cardic Bioelectricity - 94134, Prof. Jacques Beaumont - 3 cr.
Introduces students to quantitative methods used in the study of the electrophysiology of the heart. While the emphasis is on cardiac bioelectricity, the material covered is applicable to the electrophysiology of various organs. Course adopts a complex systems framework where attention is given to the description of nonlinear bioelectric phenomena at the origin of a cardiac beat, and to their non-linear interactions. The main goal is to develop an understanding of the interaction between membrane current kinetics, and the geometry and electrical properties of the conductive medium, in the setting of various arrhythmias. Topics will include: i) vector differential calculus and elementary differential geometry; ii) experimental methods used in electrophysiology, iii) equations at the origin of impulse propagation in the heart, and iv) the numerical treatment of non-linear ordinary and partial differential equations.

Prerequisites: Calculus II, and Differential Equations. Minimal knowledge in programming (Mathematica or procedural language).

Computer Science

CS 526 - Wireless Sensor Networks - 97687, Prof. Kyuong Don Kang - 3 cr
Sensor networks offer the promise of revolutionizing sensing in a large number of application domains. Sensors are typically embedded nodes that are resource poor and energy constrained. Further, the nature of the operation is application/data driven requiring protocols and algorithms that are fundamentally different from those in traditional networks. This course provides an introduction to this emerging field and cover the open research problems and challenges. Topics covered include: Sensor architecture and design. Sensor network architecture and applications. Localization algorithms. Synchronization algorithms. Energy aware medium access, routing, data collection and transport. Embedded Operating systems and databases for sensors. Aggregation and redundancy control. Topology control. Information dissemination. Sensor control and management. Sensor storage issues. Indexing and retrieval issues.

Prerequisites: CS 428 - Data Communications

CS 660 - Advances Computer Graphics - 97792, Prof. LiJun Yin - 3 cr.
A comprehensive review of the techniques needed to produce computer-generated shaded images of three-dimensional scenes. Recent research results are presented. Students design and implement portions of a three-dimensional graphics package. Topics selected from modern graphics standards (PHIGS, X-Windows), user interface issues, 3-D viewing, geometric modeling, image synthesis, image manipulation, animation, scientific visualization.

Prerequisites: CS 560 - Computer Graphics.

CS 580Z - Introduction to Mainframe - 93238, Prof. Merwyn Jones - 3 cr.
The course provides students with the background knowledge and skills necessary to begin using the functions and features of z/VM, a mainframe OS. Topics include: Virtualization, Control Program (CP), Conversational Monitoring System (CMS), REXX, Network and performance systems management. Students are assumed to be familiar with PC computing and have had some computer science or information systems background.

Prerequisite: CS 350.

Electrical and Computer Engineering

EECE 522 - Estimation Theory - 96969, Prof. Mark Fowler - 3 cr.
Theory and practice of estimating parameters for discrete-time signals embedded in noise. Application to problems in radar, sonar, emitter location and communication systems. Topics include: Cramer-Rao lower bound, minimum variance unbiased estimation, least squares estimation, maximum likelihood estimation, Bayesian estimation, and Wiener filtering.

Prerequisites: EECE 402 or equivalent ISE 261 or equivalent.

An introduction to information theory for signal processing and communication theory. Entropy, mutual information, divergence, channel capacity, multi-user communications, hypothesis testing and types.

Prerequisites:  EECE 301 or equivalent.

EECE 542 Wireless Communications Systems - 94708, Prof. Edward Li - 3 cr.
Topics in wireless communications such as cellular radio, PCS and wireless LAN. Cellular system design, frequency reuse, channel assignment, handoff, power control, cell splitting, sectorization, system capacity. Radio propagation, multi-path and fading, signal design principles, spread-spectrum modulation techniques, receiver/transmitter architectures. Multiple access for wireless systems: FDMA, TDMA, CDMA, SDMA. Wireless networking.

Prerequisite: EECE 377 or equivalent.

EECE 575 VLSI System Design - 94714, Prof. Qing Wu - 3 cr.
Gate level and physical level design of a complex system, such as RISC processor, is discussed. Advanced topics covered in logic-level design, such as high performance design, dynamic logic, low-power design, asynchronous logic, interconnect analysis, cross-talk issues, bus architecture, layout floor planning, and placement and routing. Students will be asked to use Cadence physical design, analysis and simulation tools.

Prerequisites: EECE 574 - VLSI Circuit Design Architectures

EECE 580C - Electric Drives - 96966, Prof. Eva Wu - 3 cr.
Fundamentals of electric drive systems with applications emphasis. The course offers an integrative treatment of multiple components that make up electric drives, including electrical machines, power-electronics-based converters, mechanical systems, feedback controller design, and the interaction of the drives with the utility grid.

Prerequisites: EECE 260, EECE 301 and EECE 323.

EECE 677 - Adaptive Signal Processing - 94716, Prof. Qinru Qiu - 3 cr.
CAD FOR HIGH-LEVEL SYNTHESIS This course discusses algorithms and data structures for solving computer aided design problems associated with the high-level design of VLSI circuits. Materials related to technology-independent logic optimizations, Boolean algebra, binary decision diagrams, finite automata theory, hardware/software co-design, resource allocation and binding, scheduling are examples of covered topics.

Prerequisites: EECE 574 and a course in data structure.

Mechanical Engineering

WSTN 581 - Electronics Packaging Systems - 94039, Prof. Bill Infantolino - 1 cr.
Exposes the student to the latest developments in the field of electronics packaging by using a variety of academic and industrial experts. Provides a broad perspective on the electronics packaging concepts, terminology, industry and recent developments. Addresses design, materials and manufacturing aspects of electronics packages.

Prerequisites: graduate standing.

WTSN 582 - Fundamentals of Electronics Packaging - 94041, Prof. Bahgat Sammakia - 3 cr.
Provides students with a general overview of electronics packaging, including the definition of electronics packaging, the latest developments in packaging technology and applications and roadmaps for the future of packaging. An almost equal emphasis is given to both the fundamentals as well as the applications aspects of electronics packaging. A few applications are selected and discussed; then, the fundamental sciences used for analyzing those applications are presented. Using a multi-disciplinary approach, the course is taught by world-class researchers from mechanical, electrical and industrial engineering, chemistry and physics.

Systems Science and Industrial Engineering

SSIE 506 - Systems Problem Solving - 93974, Prof. Doug Elias - 3 cr.
A comprehensive conceptual framework for systems problem solving is introduced. Discusses methods applicable to broad classes of problems.

Prerequisites: SSIE 505—Introduction Applied Probability and Statistics or equivalent, or consent of instructor.

SSIE 515 - Operations Management of Supply Chain - 94641, Prof. Nagen Nagarur - 3 cr.
Deals with management of supply chains -- in particular, with the operational aspects. A broad overview of supply chains of a company is introduced, together with performance measures and needed critical success factors. Concentrates on supplies, inventories, manufacturing and logistics of distribution. Managerial aspects as well as mathematical modeling for better planning and control are covered. Enabling the supply chains through Enterprise Resource Planning modules and e-commerce is also discussed. This is offered as a dual-level course with ISE 415.

Prerequisites: SSIE 505 - Introduction to Applied Probability and Statistics or equivalent

SSIE 520 - Modeling and Simulation - 94640, Prof. Sarah Lam - 3 cr.
Stochastic processes, review of probability and statistics, covariance, input data selection, random number generators, non-parametric tests for randomness, generation of random variates, output data analysis, terminating and non-terminating simulations, model validation, comparison of alternatives, variance reduction techniques, sensitivity analysis, experimental design and predictive models.

Prerequisites: SSIE 505—Introduction to Applied Probability and Statistics or equivalent.

SSIE 533 - Human Factors Engin and Design - 97790, Prof. Mohammad Khasawneh, 3 cr.
Introduction to Human Factors and systems: design for human use; Human Factors research methodologies; information about human performance, abilities, and limitations will be surveyed and applied: physical work and manual handling, applied anthropometry and workplace design, human control of systems, control and date entry devices, and environmental conditions; Human Factors applications including human error, accidents, safety, Human Factors and the automobile, and Human Factors in Systems Design.

Prerequisites: basic course in probability and statistics or permission of the instructor.

SSIE 561 - Quality Assurance for Engineers - 94639, Prof. Kenneth Martin - 3 cr.
Quality has become a critical issue for competition throughout the world. Quality starts with the engineering design process and goes through the product manufacture. Course covers basic elements of statistical quality control, designing for quality, process control, vendor and customer quality issues, quality costs and the production of a quality product.

Prerequisites: An introduction to probability and statistics or consent of department chair.

SSIE 566 - Designing with Experiments - 97343, Prof. Susan Lu - 3 cr.
Basics of applying statistical design, and the design function, statistical experimental design, control of experimental setting, Taguchi methods and analysis of results.

Prerequisites: SSIE 561 and 505 or equivalents, or approval of department chair.

SSIE 661 - Advanced Issues in Quality - 97019, Prof. Daryl Santos -3 cr.
The topic of Quality has become more and more of a critical issue for manufacturing systems. This course has two components. The first component is a practical application of the concepts of quality including the design and execution of experiments in a real setting. The second component is the analysis and study of future issues in the field of quality such as the development of loss equations, cost of high quality, and people and high quality.

Prerequisites: SSIE 566, or a general design of experiments course.