Christopher Piech
Assistant Professor of Computer Science and, by courtesy, of Education
Academic Appointments
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Assistant Professor, Computer Science
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Assistant Professor (By courtesy), Graduate School of Education
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Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Program Affiliations
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Symbolic Systems Program
2020-21 Courses
- Introduction to Probability for Computer Scientists
CS 109 (Win) - Problem-solving Lab for CS106A
CS 100A (Aut) - Problem-solving Lab for CS109
CS 109A (Win) - Programming Methodology
CS 106A (Aut) -
Independent Studies (16)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr, Sum) - Advanced Reading and Research
CS 499P (Aut, Win, Spr, Sum) - Computer Laboratory
CS 393 (Spr, Sum) - Curricular Practical Training
CS 390A (Spr, Sum) - Curricular Practical Training
CS 390B (Spr, Sum) - Curricular Practical Training
CS 390C (Spr, Sum) - Independent Database Project
CS 395 (Spr, Sum) - Independent Project
CS 399 (Aut, Win, Spr) - Independent Project
CS 399P (Spr, Sum) - Independent Work
CS 199 (Aut, Win, Spr, Sum) - Independent Work
CS 199P (Win, Spr, Sum) - Part-time Curricular Practical Training
CS 390D (Win, Spr, Sum) - Programming Service Project
CS 192 (Sum) - Senior Project
CS 191 (Aut, Win, Spr, Sum) - Supervised Undergraduate Research
CS 195 (Aut, Spr, Sum) - Writing Intensive Senior Project (WIM)
CS 191W (Aut, Win, Spr)
- Advanced Reading and Research
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Prior Year Courses
2019-20 Courses
- Computational Education
CS 398 (Aut) - Problem-solving Lab for CS106A
CS 100A (Spr) - Programming Methodology
CS 106A (Spr) - Wellness in Tech: Designing an Intentional Lifestyle in a Tech-Driven World
CS 82SI (Spr)
2018-19 Courses
- AI for Social Good
CS 21SI (Spr) - Introduction to Probability for Computer Scientists
CS 109 (Aut, Spr) - Problem-solving Lab for CS106A
CS 100A (Win) - Programming Methodology
CS 106A, ENGR 70A (Win)
2017-18 Courses
- AI for Social Good
CS 21SI (Spr) - Introduction to Probability for Computer Scientists
CS 109 (Aut) - Programming Methodology
CS 106A, ENGR 70A (Win, Spr)
- Computational Education
Stanford Advisees
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Akshay Kalose -
Doctoral Dissertation Reader (AC)
Charis Charitsis, Dora Demszky, Evelyn Fernandez-Lizarraga -
Master's Program Advisor
Kasha Akrami, Gaurab Banerjee, Joshua Chang, David Estrada-Arias, Dunia Hakim, Irene Han, Thomas Jiang, Andy Jin, Kris Kaya, Daniel Kharitonov, Michael Lin, Juliette Love, Peter Maldonado, Nikhil Raghuraman, Will Song, Kent Vainio, Vrinda Vasavada, Ivan Villa-Renteria, Netta Wang, Emily Wen, George Younger, Lucy Zhu -
Doctoral Dissertation Co-Advisor (AC)
Allen Nie -
Doctoral (Program)
Mo Tiwari
All Publications
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TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes
ASSOC COMPUTING MACHINERY. 2018: 110–15
View details for DOI 10.1145/3159450.3159490
View details for Web of Science ID 000481890100020
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BlueBook: A Computerized Replacement for Paper Tests in Computer Science
ASSOC COMPUTING MACHINERY. 2018: 562–67
View details for DOI 10.1145/3159450.3159587
View details for Web of Science ID 000481890100108
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Deep Knowledge Tracing
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2015
View details for Web of Science ID 000450913100022
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Modeling How Students Learn to Program
43rd ACM Technical Symposium on Computer Science Education (SIGCSE 2012)
ASSOC COMPUTING MACHINERY. 2011: 153–158
View details for Web of Science ID 000304130200031