education

EECS undergraduate programs are ranked #2 and #3 in 2018 by U.S. News

Once again, the EECS Department is one of the top ranked in the nation.  Our Computer Science undergraduate program ranked 2nd (after MIT),  up from 4th place in 2017, and our Electrical/Electronic/Communications undergraduate program came in at #3 (after MIT and Stanford), holding steady from last year.

John DeNero (photo: Phillip Downey)

John DeNero named inaugural Charles and Dianne Giancarlo Teaching Fellow

CS Assistant Teaching Professor John DeNero is the inaugural recipient of the Charles and Dianne Giancarlo Teaching Fellowship.  This fellowship supports excellence in undergraduate teaching in EECS and was made possible by a generous donation from alumnus Charles Giancarlo (EE M.S. '80)  and his wife, Dianne (co-founder of the Women’s Achievement Network and Development Alliance).  The College of Engineering will be hosting a reception to celebrate the appointment on September 19th.

Joint CS and IEOR Profs. Michael Jordan and Pieter Abbeel

Pieter Abbeel and Michael Jordan appointed joint faculty in IEOR

CS Profs. Pieter Abbeel and Michael Jordan, two of the best-known experts in machine learning, have been appointed as joint faculty in the department of Industrial Engineering and Operations Research (IEOR) in addition to their primary appointments in EECS (and Statistics for Jordan).  "Profs. Abbeel and Jordan are terrific colleagues that bring extremely valuable perspectives to our interests in robotics, automation, machine learning, and data science," states Ken Goldberg, Chair of IEOR.  Abbeel's work has been featured in many popular press outlets, including BBC, New York Times, MIT Technology Review, Discovery Channel, SmartPlanet and Wired.  In a recent article in Science, Jordan was named the currently most influential computer scientist in the world.

Prof. David Wagner teaching CS C8 (photo: SF Chronicle)

UC Berkeley rises to the challenge of Data Science demand

Prof. David Wagner, who co-teaches CS C8: The Foundations of Data Science, and Prof. David Culler, interim dean of the new Division of Data Sciences,  are featured in a San Francisco Chronicle article titled "Universities rush to add data science majors as demand explodes."   As worplace demand for data scientists and data enigineers continues to soar,  student enrollment in CS C8 has more than tripled since 2016. The Division of Data Sciences was established in the College of Engineering in December,  and a data science undergraduate major--the first new undergraduate major the College of Letters & Science in 16 years--is in the works.  “No program has grown this fast at Berkeley,” said Culler.

CS Prof. Emeritus David Patterson

David Patterson responds to former Google employee's memo about diversity

CS Prof. Emeritus David Patterson published an opinion piece in Wired in response to former Google employee James Damore’s memo, in which Damore stressed that women are biologically different and not suited to working in technology companies like Google.  Patterson, along with Maria Klawe of Harvey Mudd College and John Hennessy of Stanford, highlighted four main points in rebuttal to Damore’s memo: 1) implicit bias exists, 2) members of underrepresented groups are discouraged by daily biases not experienced by others, 3) a shortage of software engineers will limit the growth of the industry, and 4) it's more effective to discuss these issues face-to-face than via electronic communication.

Anupama Kaul

Anupama Kaul named director of the UNT PACCAR Technology Institute

Anupama Kaul (EE Ph.D. 2000) has been named director of the University of North Texas College of Engineering’s PACCAR (Pacific Car and Foundry Company) Technology Institute.  Kaul was a task manager at Jet Propulsion Laboratory at the California Institute of Technology before joining the University of Texas at El Paso (UTEP) as associate dean for research and graduate studies in the College of Engineering, and the AT&T Distinguished Professor.  She will now be the PACCAR professor in engineering and a professor in the Department of Materials Science and Engineering, with a joint appointment in the Department of Electrical Engineering at UNT.  “I am honored to serve as director of the PACCAR Technology Institute and look forward to the exciting ways in which the institute will embrace interdisciplinary research in strategic areas of national and global significance, with nanotechnology as a core enabling element,” she said.

CS 61A (Brian Ly/Daily Cal)

CS 61A course enrollment reaches a record 1,762

Enrollment in CS 61A, The Structure & Interpretation of Computer Programs,  has increased from 1,568 students last fall to 1,762 students this semester.  CS 61A is a popular introductory coding class--a requirement for EECS majors--co-taught by Assistant Teaching Professor Jon DeNero and Prof. Paul Hilfinger.  The live lecture attendance is expected to drop as students discover that lectures are being webcasted three different times for about 600 students each time.  “We have enough funding and enough TAs [over 50] and, as of yesterday, I think we have enough rooms,” DeNero said.  Additional student support is provided by discussion sections, expanded small group-mentoring sections, and pilot online versions of discussions and labs.  Last fall, 60 percent of the students rated their class experience 5/5.

Andrew Ng and Prof. Pieter Abbeel

Heroes of Deep Learning: Andrew Ng interviews Pieter Abbeel

CS alumnus Andrew Ng (Ph.D. '02), one of the world's leading authorities on AI, interviews EE Prof. Pieter Abbeel for Heroes of Deep Learning, an interview series from Ng's cousera course, Deep learning AI.  “Work in Artificial Intelligence in the EECS department at Berkeley involves foundational research in core areas of knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech and language processing," Abbeel says. "There are also significant efforts aimed at applying algorithmic advances to applied problems in a range of areas, including bioinformatics, networking and systems, search and information retrieval. There are active collaborations with several groups on campus, including the campus-wide vision sciences group, the information retrieval group at the I-School and the campus-wide computational biology program. There are also connections to a range of research activities in the cognitive sciences, including aspects of psychology, linguistics, and philosophy. Work in this area also involves techniques and tools from statistics, neuroscience, control, optimization, and operations research. Berkeley Artificial Intelligence Research Lab (BAIR)."

The M.E.T. class of 2021 (photo: Noah Berger)

M.E.T. program welcomes inaugural class

The Management, Engineering, & Technology (M.E.T.) program welcomed it's inaugural class of 40 students this week--drawn from about 2,500 applicants.  Undergrads who are admitted to M.E.T. combine courses at the Haas School of Business with one of three engineering tracks, including EECS.  While they take classes in both subjects throughout their 4 years at Berkeley, they will study together in a tight-knit cohort. The collaboration aims to build deep leadership and technology skills, and lay the groundwork for the next generation of entrepreneurs, CEOs, and Silicon Valley leaders.  The class of 2021 is made up of 30% women. 

Berkeley is one of the best computer science colleges for women

U.C. Berkeley made StudySoup's list of the top 20 female-friendly computer science programs in the country.  The graduate student group WICSE (Women in Computer Science and Engineering) is credited for the ranking because they are working to "build a more inclusive environment in the industry. In addition to outreach programs for younger students, the organization partners with research institutions and corporate partners to host workshops and network events."