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Advance your skills in programming and data analysis

The Computer Science Intermediate Track provides a unique combination of coding boot camp, and lab touring experiences, as well as UCLA coursework covering critical concepts and skills in computer programming related to statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, health data, geographical data, and social networks.

Computer science experience with basic programming skills (python) is required. Knowledge in basic matrix analysis, probability, and statistics is preferred.

Fees and Payment Info

The program fee includes the unit fees for the UCLA coursework offered as part of the program and thus varies by UC student status. In addition to the program fee, students are assessed other campus and administrative fees during the summer. This is a summary of fees that commonly apply to the selected student type.

Actual tuition and fees are subject to change by the University of California. Visit the fees, payment, and financial aid section for important disclaimer, as well as more details on fees, payment instructions, and information on delinquency, refunds, and financial aid.

 

Program Fee
TBD
Registration Fee
$350.00
IEI Fee
$61.00
Document Fee (for first-time Summer Sessions students)
$50.00
Total Estimated Fees:
$461.00
* Fees only apply for certain student types

Meet your instructors

Yizhou Sun

Associate Professor

Yizhou Sun is an associate professor at the department of computer science at UCLA. She received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2012. Her principal research interest is on mining graphs/networks, and more generally in data mining, machine learning, and network science, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications. She is a pioneer researcher in mining heterogeneous information network, with a recent focus on deep learning on graphs/networks.

Yizhou has over 180 publications in books, journals, and major conferences. Tutorials of her research have been given in many premier conferences. She received ACM SIGKDD Best Student Paper Award, ACM SIGKDD Doctoral Dissertation Award, ACM BCB Best Student Paper Award, Yahoo ACE (Academic Career Enhancement) Award, NSF CAREER Award, CS@ILLINOIS Distinguished Educator Award, Amazon Research Awards (twice), Okawa Foundation Research Grant, and VLDB Test of Time Award.

Portrait of Yizhou Sun. She is wearing a black shirt, shoulder length black hair and a smile.

Jason Cong

Guest Speaker
  • Volgenau Chair for Engineering Excellence
  • Director, Center for Customizable Domain-Specific Computing
  • Director, VLSI Architecture, Synthesis, and Technology (VAST) Laboratory (former VLSI CAD Laboratory)

JASON CONG received his B.S. degree in computer science from Peking University in 1985, his M.S. and Ph. D. degrees in computer science from the University of Illinois at Urbana-Champaign in 1987 and 1990, respectively. Currently, he is the Volgenau Chair for Engineering Excellence in the UCLA Computer Science Department (with joint appointment in the Department of Electrical and Computer Engineering), the Director of Center for Domain-Specific Computing (funded by NSF Expeditions in Computing Award), and the director of VLSI Architecture, Synthesis, and Technology (VAST) Laboratory. He served as the chair of the UCLA Computer Science Department from 2005 to 2008. He was elected to an IEEE Fellow in 2000, an ACM Fellow in 2008, a member of the National Academy of Engineering in 2017, and a Fellow of the National Academy of Inventors in 2020.

Advisory Board

Eli Gafni

Emeritus Professor

Dr. Gafni was born in Tel-Aviv, Israel. He received his Bs.C from the Technion, Israel in 1972, and M.S. and Ph.D. in Electrical Engineering in 1979 and 1982, from the University of Illinois at Urbana Champaign, and M.I.T, respectively. In 1982 he joined the UCLA computer science faculty. Dr. Gafni was the recipient of a 1983 IBM Faculty Development Award, and a 1984 NSF Presidential Young Investigator Award. His research interests include distributed algorithms, mathematical programming with application to distributed routing and control of data networks, and computer science theory.

Portrait of Eli Gafni. He is wearing a casual grey plaid shirt and standing in front of a palm tree.

Richard Korf

Emeritus Professor

Richard Korf is a Professor of computer science at UCLA. He received his B.S. from M.I.T. in 1977, and his M.S. and Ph.D. from Carnegie-Mellon University in 1980 and 1983, respectively, all in computer science. From 1983 to 1985, he served as Herbert M. Singer Assistant Professor of Computer Science at Columbia University. His research is in the areas of problem-solving, heuristic search, and planning in artificial intelligence. He is the author of “Learning to Solve Problems by Searching for Macro-Operators” (Pitman, 1985).

He serves on the editorial boards of Artificial Intelligence, and the Journal of Applied Intelligence. Dr. Korf is the recipient of a 1985 IBM Faculty Development Award, a 1986 NSF Presidential Young Investigator Award, the first UCLA Computer Science Department Distinguished Teaching Award in 1989, the first UCLA School of Engineering Student’s Choice Award for Excellence in Teaching in 1996, and the Lockheed Martin Excellence in Teaching Award in 2005. He is a Fellow of the American Association for Artificial Intelligence.

Portrait of Richard Korf. He is wearing a casual grey shirt standing in front of a palm tree.