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Personal bio
Stephen Boyd received the A.B. degree in Mathematics from Harvard University in 1980, and his Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, in 1985, and then joined the faculty at Stanford. His current research focus is on convex optimization applications in control, signal processing, machine learning, and circuit design.
Currently teaching
EE 104: Introduction to Machine Learning
(Spring)
CME 107: Introduction to Machine Learning
(Spring)
CME 364A: Convex Optimization I
(Winter)
EE 364A: Convex Optimization I
(Winter)
CS 499: Advanced Reading and Research
(Autumn, Winter, Spring, Summer)
CS 399: Independent Project
(Autumn, Winter, Spring)
CS 191: Senior Project
(Autumn, Winter, Spring)
CS 199: Independent Work
(Autumn, Winter, Spring)
EE 190: Special Studies or Projects in Electrical Engineering
(Autumn, Winter, Spring)
EE 191: Special Studies and Reports in Electrical Engineering
(Autumn, Winter, Spring)
CS 390A: Curricular Practical Training
(Autumn, Winter, Summer)
CS 390B: Curricular Practical Training
(Autumn, Winter)
CS 191W: Writing Intensive Senior Research Project
(Autumn, Winter, Spring)
CS 499P: Advanced Reading and Research
(Autumn, Winter)
CS 390D: Part-time Curricular Practical Training
(Autumn, Winter)
EE 191W: Special Studies and Reports in Electrical Engineering (WIM)
(Autumn, Winter, Spring)
SCCM 499: Advanced Reading and Research
(Winter, Summer)
EE 300: Master's Thesis and Thesis Research
(Autumn, Winter, Spring, Summer)
EE 390: Special Studies or Projects in Electrical Engineering
(Autumn, Winter, Spring, Summer)
EE 391: Special Studies and Reports in Electrical Engineering
(Autumn, Winter, Spring, Summer)
CME 400: Ph.D. Research
(Autumn, Winter, Spring, Summer)
CS 399P: Independent Project
(Spring)
EE 400: Thesis and Thesis Research
(Autumn, Winter, Spring, Summer)
CME 390: Curricular Practical Training
(Summer)
AA 190: Directed Research and Writing in Aero/Astro
(Summer)
AA 199: Independent Study in Aero/Astro
(Summer)
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