Graduate Courses

Introduces the analysis of algorithms and predictions of behavior of the programs that implement them. Topics covered include: models of computation, divide and conquer techniques, greedy algorithms, searching and sorting methods, and the mathematics necessary for this work.

Introduces the fundamentals of system design and modeling. Emphasizes advantages and limitations of various modeling techniques for different applications. Introduces probability distributions typical of queuing models and presents in-depth discussions and experiments with existing simulation packages.

Introduces CMOS technology and theory; CMOS circuit and digital logic design; layout rules and techniques; circuit characterization and performance estimation; CMOS subsystem design; VLSI systems design methods; VLSI CAD tools; laboratory experience in custom VLSI chip design on workstations using concepts in cell hierarchy; final project involving specification, design and evaluation of a VLSI chip or VLSI CAD program. Written report and oral presentation of the final project are required.

Examines microprocessors, support architectures, and hardware/software. Also presents microprocessors software model and programming, assembly language programming, microprocessor applications, microprocessor-based systems, and microcomputers. Projects will be used to introduce microprocessor applications.

This course will present the basic concepts of operating systems. Topics that will be examined include processes and interprocess communication/synchronization, virtual memory, program loading and linking system calls and system programs; interrupt handling, device and memory management, process scheduling, deadlock and the trade-offs in the design of large-scale multitasking operating systems.

This course presents methodology for large-scale system design and analysis using modern semantic analysis techniques. Identification and definition of large-scale (community/industrial-based) problems. Discusses how to select and quantify measures of the severity of the problem. Presents different techniques for modeling alternative solutions to problems.

The course covers all the concepts and technologies required to set-up a wireless networking system, from a wireless network developer's perspective. The course has hands-on lab exercises and the students are required to attend all the labs session to be able to understand fully the course material. In the lab, we will focus on wireless network troubleshooting, optimization, testing and security technologies. The objectives of this course are for students to learn wireless network site design and installation, troubleshooting and testing, and to identify and understand the hardware and software components used in wireless networks.

Consists of telecommunications systems design for point-to-point and mass data distribution, modulation techniques, propagation modes and control methods.