Assistant Teaching Professor in the UC Berkeley EECS department

Email: ude.yelekreb@orened

Where and When

Fall 2017 Lecture Schedule

• Data 8 10am-11am Monday, Wednesday, and Friday in Wheeler Auditorium (course catalog)
• CS 61A 12pm-1pm Monday, Wednesday, and Friday in Wheeler Auditorium (course catalog)

Fall 2017 Office Hours

• Data 8: TBD
• CS 61A: TBD
• Make an appointment in 781 Soda.

What and How

Research

• Publications

Teaching

• 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

2017

• 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)

2016

• 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)

2015

• 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)

Bio

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.

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