EECS 144/244

Fall 2015

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EECS 144/244: Fundamental Algorithms for System Modeling, Analysis, and Optimization - Spring 2013

The modeling, analysis and optimization of complex systems requires a range of algorithms and design software. This course reviews the fundamental techniques underlying the design methodology for complex systems, using integrated circuit design as example. Topics include design flows, fundamental classes of systems and models (discrete, timed, continuous, dataflow, probabilistic), and fundamental analysis techniques and algorithms for each class (state-space exploration, discrete-event simulation, numerical simulation, throughput analysis, steady-state analysis, ...). Lab assignments and a class project will expose students to state-of-the-art tools.

144 is a new EECS course, and 244 has been substantially revised. The Spring 2013 offering is the third such joint offering of the course, given by Stavros Tripakis, with guest lectures by Alexandre Donze and David Broman.

Spring 2013 Lectures

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