Teaching of 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