EECS 244: Fundamental Algorithms for System Modeling, Analysis, and Optimization - Fall 2016The 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.
In Fall 2016 EECS 244 is offered in "condensed" form only for graduate students (144 is not offered). "Condensed" means the course will not span the full semester, but less (probably 7 weeks or so) and each week there are more lecture hours than usual (probably 6 hours or so). The exact dates and times will be announced later..
In the Fall of 2016, EECS 244 will be given by Prof. Stavros Tripakis.
Fall 2016 schedule: to be announced.
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