Assistant Teaching Professor in the UC Berkeley EECS department
Where and When
Spring 2018 Lecture Schedule
- CS 61A 2pm-3pm Monday, Wednesday, and Friday in Wheeler Auditorium.
- CS 195 4pm-5:30pm Monday in Sibley Auditorium.
Spring 2018 Office Hours
- 10am-11am Wednesday and Thursday in 781 Soda.
- 11am-12pm Wednesday online.
- Make an appointment in 781 Soda.
What and How
- Past and Current Courses
- YouTube channel
- Composing Programs, a free online textbook for introductory computer science
- Computational and Inferential Thinking: The Foundations of Data Science, a free online textbook for introductory data science
- The Pac-Man projects for teaching artificial intelligence
- Instructor materials and info for Data 8
- Data Science Education at Berkeley
News and Awards
- Appointed the inaugural Giancarlo Teaching Fellow (College of Engineering, Berkeley)
- Jim and Donna Gray Faculty Award for Undergraduate Teaching (EECS department, Berkeley)
- A UC Berkeley team was sponsored for the Alexa Prize. (Amazon)
- Microsoft Research Blog highlights the Berkeley Data Science Education Program. (Microsoft)
- What Is a Data Scientist, Anyway? an article describes the structure and goals of Berkeley's data science education program. (Wall Street Journal)
- CS 61A has record enrollment of 1760 enrolled + 150 waitlisted in Fall 2017. (The Daily Californian)
- Diane McEntyre Award for Excellence in Teaching (CS Division, Berkeley)
- Voted Best Faculty Member on campus (The Daily Californian)
- Data 8 featured in the Chancellor's Corner (The Daily Californian)
- Honorable Mention Award for Excellence in Promoting Women in Undergraduate Computing (NCWIT)
- Award for data science platform development (Google)
- Outstanding Faculty of the Year Award (Tau Beta Pi, Berkeley)
- CS 61A listed among Five of the Best Computer Science Classes in the U.S. (Bloomberg)
- Computer science capacity award (Google)
John DeNero is the Giancarlo Teaching Fellow in the UC Berkeley EECS department. He joined the Cal faculty in 2014 to focus on undergraduate education in computer science and data science. He teaches and co-develops two of the largest courses on campus: introductory computer science for majors (3000 students per year) and introductory data science (1500 students per year). He is the author of Composing Programs and co-author of Computational and Inferential Thinking, two online textbooks. His research focuses both on natural language processing and computer science education. He received his Masters in Philosophy from Stanford University and his PhD in Electrical Engineering and Computer Science from UC Berkeley in 2010. Prior to becoming a professor, John was a senior research scientist at Google working primarily on Google Translate and natural language processing.