Teaching of Yi Ma

Courses Taught by Professor Yi Ma


University of California, Berkeley (and TBSI)

 * EECS16B: Designing Information Devices and Systems II, EECS@UC Berkeley, Fall 2022.

* Summer Course on High-Dimensional Data Analysis, Tsinghua-Berkeley Shenzhen Institute (TBSI), remote, June 2022.

 * CS294: Geometry and Learning for 3D Vision (Course Piazza and a tentative Syllabus.pdf), EECS@UC Berkeley, Spring 2022.

 * EECS106B/206B: Robotic Manipulation and Interaction, co-teach with Prof. Shankar Sastry, EECS@UC Berkeley, Spring 2022.

 * EECS208: Computational Principles for High-Dimensional Data Analysis (Course Website and Course Piazza), EECS@UC Berkeley, Fall 2021.

 * EECS 106A: Introduction to Robotics, EECS@UC Berkeley, Fall 2021.

* Summer Course on Geometry and Learning for 3D Vision, Tsinghua-Berkeley Shenzhen Institute (TBSI), July 2021.

 * EECS290-005: Integrated Perception, Learning, and Control, co-teach with Prof. Jitendra Malik, Shankar Sastry, and Claire Tomlin, EECS@UC Berkeley, Spring 2021.

 * EECS106B/206B: Robotic Manipulation and Interaction, co-teach with Prof. Shankar Sastry, EECS@UC Berkeley, Spring 2021.

 * EE290-002: High-Dimensional Data Analysis with Low-Dimensional Models (a tentative syllabus.pdf), EECS@UC Berkeley, Fall 2020.

* Summer Course on High-Dimensional Data Analysis, Tsinghua-Berkeley Shenzhen Institute (TBSI), remote, July 2020.

 * CS294: Geometry and Learning for 3D Vision (a tentative syllabus.pdf), EECS@UC Berkeley, Spring 2020.

 * EE290-001: High-Dimensional Data Analysis with Low-Dimensional Models (a tentative syllabus.pdf), EECS@UC Berkeley, Fall 2019.

* Summer Course on High-Dimensional Data Analysis, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen, China, July 4 - 13, 2019.

 * EE290T: High-Dimensional Data Analysis with Low-Dimensional Models, EECS@UC Berkeley, Fall 2018.

 * EE221: Linear System Theory, EECS@UC Berkeley, Fall 2018.

* Summer Course on High-Dimensional Data Analysis, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen, China, July 3 - 14, 2018.

ShanghaiTech University

 * Deep Learning, SIST@ShanghaiTech, Fall 2016.

 * Computer Vision: 3D Reconstruction, SIST@ShanghaiTech, Spring 2016.

 * Compressive Sensing, SIST@ShanghaiTech, Fall 2015.

 * Computer Vision, SIST@ShanghaiTech, Spring 2015.

 * Introduction to Information Science and Technology, SIST@ShanghaiTech, Spring 2015.

 * Compressive Sensing, SIST@ShanghaiTech, Fall 2014.

 * Generalized Principal Component Analysis, SIST@ShanghaiTech, Spring 2014.

Microsoft Research Asia

No teaching duties (from Spring 2009 to Fall 2014)

University of Illinois at Urbana-Champaign

 * ECE598YM: Sparse Representation and High-Dimensional Geometry, Fall 2008.

 * ECE553: Optimum Control Systems, Spring 2008.

 * ECE515: Control Systems Theory and Design, Fall 2007.

 * On sabbatical leave: Visiting Professor at EECS Department, UC Berkeley, Spring 2007.

 * On personal leave: Visiting Researcher at Microsoft Research Asia, Beijing, China, Fall 2006.

 * ECE586YM: Estimation and Segmentation of Hybrid Models, Spring 2006.

 * ECE515: Control Systems Theory and Design, Fall 2005.

 * ECE/GE528: Analysis of Nonlinear Systems, Spring 2005.

 * ECE597: Individual Study - Computer Vision, Spring 2005.

 * ECE598: An Invitation to 3-D Vision: From Images to Geometric Models, Fall 2004.

 * ECE210: Analogue Signal Processing, Spring 2004.

 * ECE415: Control Systems Theory and Design, Fall 2003.

 * ECE453: Optimum Control Systems, Spring 2003.

 * ECE497: 3-D Vision: A Multiple View Approach, Fall 2002.

 * ECE210: Analogue Signal Processing, Spring 2002.

 * ECE434: Random Processes, Fall 2001

 * ECE497: Advanced Geometric Approaches to Computer Vision, Spring 2001.

 * ECE415: Control Systems Theory and Design, Fall 2000.


©2007 Yi Ma
Last modified: Mon Nov 14 00:51:08 PST 2022