ECE 174Introduction to Linear and Nonlinear Optimization with Applications
The linear least squares problem, including constrained and unconstrained quadratic optimization and the relationship to the geometry of linear transformations. Introduction to nonlinear optimization. Applications to signal processing, system identification, robotics, and circuit design. Recommended preparation: ECE 143 (for Python) or equivalent proficiency in MATLAB programming.
Prerequisites
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Where it sits in degree plans
Required in (1)
- Electrical Engineering (B.S.)
Courses that list ECE 174 as a prerequisite (6)
- COGS 118A Supervised Machine Learning Algorithms
- COGS 118B Introduction to Machine Learning
- COGS 118D Computational Modeling and Analysis of Human Behavior
- COGS 181 Neural Networks and Deep Learning
- COGS 182 Introduction to Reinforcement Learning
- ECE 175A Elements of Machine Intelligence: Pattern Recognition and Machine Learning