Catalog Description: 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, discrete and continuous models and algorithms, and strategies for implementing algorithms efficiently and correctly in software. Laboratory assignments and a class project will expose students to state-of-the-art.

Units: 4

Prerequisites: Graduate standing.

Credit Restrictions: Students will receive no credit for EL ENG 244 after completing EL ENG W244.

Formats:
Spring: 4.0 hours of lecture per week
Fall: 4.0 hours of lecture per week

Grading Basis: letter

Final Exam Status: No final exam

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Class Schedule (Spring 2025):
EE 144/244 – MoWe 09:30-10:59, Cory 540AB – Alberto Luigi Sangiovanni-Vincentelli, Pierluigi Nuzzo

Class Notes
This course is an introduction to design automation, a field of computer science and engineering concerned with rigorous methods and tools for the modeling, design, and analysis of complex engineered systems. Integrated circuit design will be used as a central example, but the course material has applications to several areas in electrical engineering, computer sciences, and beyond, including embedded and cyber-physical systems, software engineering, artificial intelligence, control systems, robotics, and multi-physics systems. The main course web page is here: https://sites.google.com/berkeley.edu/eecsx44-sp25.

Class Schedule (Fall 2025):
EE 144/244 – TuTh 14:00-15:29, Cory 540AB – Pierluigi Nuzzo

Class homepage on inst.eecs

Links:

• CS enrollment policies
• EE enrollment policies
• HKN course maps