Teaching

COURSES TAUGHT RECENTLY INCLUDE:

• Digital Logic Design II – Contemporary digital system design; programmable logic device architectures; reconfigurable computing; design entry methods; VHDL; CAD tools; combinational and sequential logic design and implementation using programmable logic devices.
• Physical Design Automation for VLSI & FPGAs – Introduction to back end CAD flow for VLSI and FPGAs; algorithms and CAD tools for technology mapping, floorplanning, partitioning, placement and routing; exposure to timing analysis and timing-driven layout; assignments will involve use of academic and/or industrial CAD tools as well as development of simple CAD tools for specific layout tasks.
• Software Engineering – Introduction to software engineering, review of object orientation,& software development based on reusable technology, developing requirements, modeling with classes, user-centered design, modeling interactions and behavior, software architecture and design, testing techniques, managing the software process.
• Embedded System Design – Introduction to embedded systems. Custom single-purpose processors: Hardware Design (includes a review of FSMs, registers/counters, and register files). General-purpose processors: Software; design flow environment and tools; testing and debugging. Standard single-purpose processors: Peripherals. Memory system design. Interfacing issues: serial and parallel communication, bus standards, protocols, and arbitration. Putting it all together — a digital camera example. State machine and concurrent process models.
• Reconfigurable Computing – History and evolution of reconfigurable computing (RC) systems; FPGA-based and multi-FPGA systems, CAD mapping tools, run-time reconfiguration, the study of recent RC systems from academia and industry targeting a wide range of applications.
• Computer-Aided Analysis – Object oriented programming in C++ covering most of the basic concepts. Development of Classes for matrix operations, complex numbers, etc. The rest of the course covers class development for a set of numerical schemes that include: Gauss-Jordan Method for solving Linear Simultaneous Algebraic Equations; Matrix inversion; Root finding using the Newton-Raphson and the half-interval methods; Lin-Bairstow method for Roots of Polynomials; Least-squares fitting; Numerical Integration using the Trapezoidal and Simpson's 1/3 rule; Solution of Ordinary Differential Equations of any order using Euler, Improved Euler and the fourth-order Runge-Kutta methods.