Prior Course Offerings

Fall 2015
Fall 2013
Spring 2013
Fall 2012
Spring 2012
Fall 2011
Spring 2011

Fall 2013 Courses

Registration for fall classes begins March and will continue through September 16, 2013. New students to the program can begin their registration for fall beginning in late July. Registration forms are available online. This page contains links to course descriptions, course outlines (syllabi) and faculty homepages.

Class recording begins on August 26, 2013.

  Course No. Course Name Instructor




Computer Science

  CS 555  Introduction to Visual Information Processing  Prof. LiJun Yin
  CS 580Z  z/VM Virtualization  Prof. Merwyn Jones

Electrical and Computer Engineering   

  EECE 506  Mathematical Methods in EE  Prof. David Klotzkin
  EECE 515  Analysis of Des of Control Systems  Prof. Eva Wu
  EECE 530  Electro-Optics  Prof. Vladimir Nikulin 
  EECE 542  Wireless Communication Systems  Prof. Edward Li
  EECE 545  Digital Communication Systems  Prof. Edward Li
  EECE 552  Computer Design  Prof. Aaron Carpenter
  EECE 574  Cmos Vlsi Circuits & Architecture  Prof. Zhanpeng Jin

Systems Science and Industrial Engineering   

  SSIE 501  Introduction to Systems Science  Prof. Harold Lewis
  SSIE 505  Introduction to Applied Probability and Statistics  Prof. Chun-An Chou
  SSIE 510  Enterprise Systems Engineering  Prof. Srikanth Poranki
  SSIE 519  Applied Soft Computing  Prof. Harold Lewis
  SSIE 522  Advanced Decision Modeling  Prof. Sarah Lam
  SSIE 525  Principles of Systems Engineering  Prof. Sangwon Yoon
  SSIE 534  Fundamentals of Health Systems  Prof. Mohammad Khasawneh
  SSIE 578  Processes of Electronics Manufacturing  Prof. Peter Borgesen
  SSIE 613X  Advanced Stats Method for Bus Analysis  Prof. Susan Lu
  SSIE 661  Advanced Issues in Quality  Prof. Daryl Santos

Computer Science

CS 555 - Introduction To Visual Information Processing, Prof. LiJun Yin - 3 cr.

The course focuses on fundamental topics, including visual information acquisition, representation, description, enhancement, restoration, transformations and compressions, and reconstruction from projections. The second focus is on Computer Science applications, including algorithms developed in applications such as statistical and syntactic pattern recognition, robotic vision, multimedia indexing, visual data mining, and bio-informatics. Prerequisite: CS 333.

Course Syllabus

CS 580Z - z/VM Virtualization, 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), Conversations Monitoring System (CMS), TEXX, 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 506 - Mathematical Methods in Electrical Engineering, Prof. David Klotzkin - 3 cr.

Selected topics in the advanced engineering mathematics, with special focus on their electrical engineering applications. Topics include ordinary and partial differential equations, Laplace transform, Fourier transform, linear algebra, matrix theory, numerical methods, complex analysis, optimization, probability and statistics. Prerequisites: calculus and differential equations.

 EECE 515 - Analysis and Des of Control Systems, Prof. Eva Wu - 3 cr.

Advanced techniques for analysis and design of analog linear and non-linear control systems. Topics include conventional and state variable techniques for the mathematical decription of control systems.

Prerequisites:  EECE 361 or equivalent.

 EECE 530 - Electro-Optics, Prof. Vladimir Nikulin - 3 cr.

Electro-optic devices and systems. Black-body, LED and laser sources, photo detectors, modulators, fiber optics, Fourier optics. Design of electro-optic systems. Lecture portion meets with EECE 474.

Prerequisites:  EECE 323.

 EECE 542 - Wireless Communication Systems, 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-pah

EECE 545 - Digital Communication Systems, Prof. Edward Li - 3 cr.

Transmission of information in digital form; coding; packets; error detection, correction; carriers; multipath and intersymbol interference, spread spectrum.

Prerequisites: EECE 377 - Communications or equivalent.

EECE 552 - Computer Design, Prof. Aaron Carpenter - 3 cr.

Computer architectures, virtual memory organization, input-output, microprogramming, multiprocessor systems, memory hierarchies, pipelined architecture, RISC machines, fault-tolerant machines.

Prerequisites: EECE 352 or equivalent.

EECE 574 - Cmos Vlsi Circuits & Architecture, Prof. Zhanpeng Jin - 3 cr.

The MOS transistor, circuit characterization and performance estimation. CMOS logic and structured design: electrical design of logic circuits, clocking strategies and design rules. CMOS systems and RISC architectures.

Prerequisites: EECE 351 or equivalent.


System Science and Industrial Engineering

SSIE 501 - Introduction to Systems Science, Prof. Harold Lewis - 3 cr.

Course will include the following: a general characterization of systems science as a field of study; intellectual roots, philosophical assumptions, and historical development of the field; an overview of fundamental systems concepts, principles, and laws; and a survey of application areas of systems science and its implications for other fields of study.

SSIE 505 - Introduction to Applied Probability and Statistics, Prof. Sangwon Yoon - 3 cr.

Basic concepts in probability and statistics required in the modeling of random processes and uncertainty. Bayes' formula. Bayesian statistics, independent events; random variables and their descriptive statistics; distribution functions; Bernoulli, Binomial, Hyper geometric, poisson, normal, exponential, gamma. Weibull and multinomial distributions; Chebyshev's theorem; central limit theorem; joint distributions; hypothesis testing; contingency tables, goodness of fit, non-parametric statistics, regression and correlation.

Prerequisite: one year of calculus.

SSIE 510 - Enterprise Systems Engineering, Prof. Krishnaswami Srihari - 3 cr.

Manufacturing has become increasingly critical to standard of living and competitive market position. Little has really been published and analyzed as to the underlying science of manufacturing. Course studies the manufacturing literature and the manufacturing process and investigates the underlying principles that govern manufacturing.

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

 SSIE 519 - Advanced Soft Computing, Prof. Harold Lewis - 3 cr.

Covers relatively new approaches to machine intelligence known collectively as soft computing. Introduces various types of fuzzy inference systems, neural networks and genetic algorithms, along with several synergistic approaches for combining them as hybrid intelligent systems. The emphasis is on applications, including modeling, prediction, design, control, databases and data mining. Offered as a dual level (graduate/undergraduate) course with ISE 419. The undergraduate students are not required to do projects on the same level as the graduate students, and are not required to place the degree of emphasis on hybrids.

Prerequisites:  senior standing, basic knowledge of calculus and discrete mathematics, and competence in at least one programming language, or consent of the instructor.

 SSIE 522 - Advanced Decision Modeling - Prof. Sarah Lam - 3 cr.

Course provides a broad foundation in decision models and techniques used in industry and research for technical and managerial problems. Topics include decision theory, risk and uncertainty, value of information, preference measurements, prioritization of alternatives, multiple objectives and hierarchical decisions. This is offered as a dual level course with ISE 422.

Prerequisites:  SSIE 505 or equivalent.

SSIE 525 - Principles of Systems Engineering, Prof. Sangwon Yoon - 3 cr.

Basic principles of systems engineering applied in transforming client requirements into an operational system. Topics cover the full system life cycle: planning, integrated product/process development, system architecture and design, modeling, requirements analysis, development, integration, test and evaluation. Specialized concepts involved in engineering complex systems are reinforced through case studies and student exercised.

Prerequisite: graduate standing or consent of instructor.

SSIE 534X - Fundamentals of Health Systems, Prof. Mohammad Khasawneh - 3 cr.

One of the growing systems in our society is that of the healthcare delivery system. The purpose of this course is to introduce the concepts behind the healthcare delivery systems and to focus upon the systems improvement or continuous improvement techniques available for complex systems. Topics would include improvement to, and problems with: organizational structure, managing change, the financial structure, the responsibility structure, quality data and implications of quality measures, use of clinical decisions support systems and the care givers role in the system. There will also be a focus upon suppliers to the healthcare delivery system and the unique requirements placed upon their products and processes. Cross listed with ISE 434.


SSIE 578 - Processes for Electronics Packaging, Prof. Peter Borgensen - 3 cr.

The purpose is for the students to gain a broad knowledge and understanding of the basics of printed circuit board manufacturing and assembly. The course offers an introduction to surface mount and insertion mount components, materials and processes as well as to PCB design and manufacturing. Lectures will cover an introduction to assembly process flows and components types, PCB construction and defects, solder paste printing and equipment, dispensing, placement processes and equipment, reflow and ovens, flip chip assembly and underfilling, inspection methods, defects and mitigation, rework and repair, reliability optimization and testing.  Efforts will be made to include visits to local industrial assembly facilities as well as equipment on campus. The overall goal is to provide the students with a basis for communicating and working with subject matter experts. No books are required or recommended. All required information will be included on slides posted on Blackboard.

Prerequisites:  Undergraduate course in manufacturing processes, related experience, or consent of instructor.

SSIE 613X - Advanced Statistical Methods for Bus Analysis, Prof. Susan Lu - 3 cr.

This course will cover advanced data analysis methods with emphasis of their applications in industrial and systems engineering. There are three major components to the course. The first component is a brief review on basic univariate and multivariate analysis. The second component is an introduction to advanced statistical analysis methodologies such as time series modeling equation modeling. The third component of the course focuses on real applications of these methods in research and data-driven decision making.

Prerequisite: SSIE 505.

SSIE 661 - Advanced Issues in Quality, Prof. Daryl Santos - 3 cr.

The topic of quality has taken more and more of a critical nature for manufacturing systems. Course has two components. The first is a practical application of the concepts of quality, including the design and execution of experiments in a real setting. The second 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. 

Prerequisite:  SSIE 566 or a general design of experiments course.


Last Updated: 2/25/15