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 and each week there are more lecture hours than usual (6 hours per week).
Fall 2016 schedule:
Room and weekly hours: 299 Cory on Tues and Thurs from 1-4PM.
NOTE NEW ROOM! 299 Cory.
FIRST LESSON: Thursday October 6, 2016.
In the Fall of 2016, EECS 244 will be given by Prof. Stavros Tripakis.
In the Fall of 2015, an on-line edition of this course has also been offered. The on-line course is part of Berkeley's MAS-IC program and will be offered again in the future.
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