The Structure and Interpretation of Computer Programs: Read More [+], Prerequisites: MATH1A (may be taken concurrently); programming experience equivalent to that gained from a score of 3 or above on the Advanced Placement Computer Science A exam. We offer both in-person and virtual drop-in advising to current students. Students may apply to the major during the semester in which the final technical prerequisites are being completed. Group study of selected topics in electrical engineering, usually relating to new developments. Credit Restrictions: Students will receive no credit for El Eng 140 after taking El Eng 240A. Enrollment limits are set by the faculty, but the suggested limit is 25. Concepts will include the review at an advanced level of robot control, the kinematics, dynamics and control of multi-fingered hands, grasping and manipulation of objects, mobile robots: including non-holonomic motion planning and control, path planning, Simultaneous Localization And Mapping (SLAM), and active vision. Lighting models for reflection, refraction, transparency. Visual design principles. Basic elements of a computer graphics rendering pipeline; architecture of modern graphics display devices. Hardware laboratory and design project. Computer Vision - I School Online - UCB-UMT CS 10and/or CS 8is useful as preparation for CS61A if you have little or no previous programming background. The topics include graph theory, Markov chains, queuing, optimization techniques, the physical and link layers, switching, transport, cellular networks and Wi-Fi. Techniques of modeling objects for the purpose of computer rendering: boundary representations, constructive solids geometry, hierarchical scene descriptions. How to get into UC Berkeley's online data science program It is possible to transfer into the CS program from another college or major on campus. Pair up, get support, and discover shared academic interests. All program plans are provided as a sample, andwe encourage you to devise your own program with the help of an Adviser. Note that no more than two graduate level courses (courses numbered 200-294) can be used to fulfill requirements for your B.S. CS 36 provides an introduction to the CS curriculum at UC Berkeley, and the overall CS landscape in both industry and academiathrough the lens of accessibility and its relevance to diversity. For more detailed curriculum options for the EECS major, please see the EECS Department websiteor the College of Engineering site. There are several significant programming projects. This course is designed to give an introduction to, and overview of, the fundamentals of photovoltaic devices. It was one of the five initial pilot programs for the AP CS Principles course being developed by the College Board and the National Science Foundation. Freshman/Sophomore Seminar: Read More [+]. Students who have completed a portion of the subject matter of COMPSCI61B may, with consent of instructor, complete COMPSCI61B in this self-paced course. Probability including sample spaces, independence, random variables, law of large numbers; examples include load balancing, existence arguments, Bayesian inference. EECSC106A. Completion of Work in Computer Science 61A: Completion of Work in Computer Science 61B, as well as the EECS department for the course to count in place of. Software security, defensive programming, and language-based security. Topics will vary semester to semester. Completion of work in Computer Science 70: Read More [+], Prerequisites: Sophomore mathematical maturity, programming experience equivalent to that gained in COMPSCI61A, a prior college level course on discrete math and/or probability, and consent of the instructor, Instructors: Ranade, Rao, Sahai, Seshia, Vazirani, Walrand, Completion of work in Computer Science 70: Read Less [-], Terms offered: Fall 2023, Fall 2022, Fall 2021, Fall 2020, Fall 2019 The Electrical Engineering & Computer Sciences Department offers two different undergraduate degrees from two different colleges: the Bachelor of Science in Electrical Engineering & Computer Sciences (EECS) offered by the College of Engineering (CoE), and the Bachelor of Arts in Computer Science (CS) from the College of Letters & Science (L&S). Loading and linking, libraries. Cryptography: Read More [+], Terms offered: Fall 2023, Fall 2022, Spring 2022 Concept and basic techniques in the design and analysis of algorithms; models of computation; lower bounds; algorithms for optimum search trees, balanced trees and UNION-FIND algorithms; numerical and algebraic algorithms; combinatorial algorithms. Terms offered: Spring 2013, Spring 2011, Spring 2010 Terms offered: Spring 2023, Spring 2022, Spring 2021, Terms offered: Summer 2023 8 Week Session, Spring 2023, Summer 2022 8 Week Session. In addition to upper division EECS courses, the following courses can count toward the 20 units of upper division EECS: INFO159, INFO213,COMPSCI270, COMPSCIC280, COMPSCI285, COMPSCI288,ELENG229A, COMPSCI 294-84 (Interactive Device Design), COMPSCI 294-129 (Designing, Visualizing and Understanding Deep Neural Networks). These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Introduction to the Internet: Architecture and Protocols: Read More [+], Prerequisites: COMPSCI61B and COMPSCI162, Instructors: Katz, Paxson, Ratnasamy, Shenker, Stoica, Introduction to the Internet: Architecture and Protocols: Read Less [-], Terms offered: Fall 2019, Spring 2019, Fall 2017 The major combines a rigorous technical program with background in the liberal arts and sciences. Introduction to Digital Communication Systems, Terms offered: Spring 2016, Fall 2014, Fall 2013. Minor programs are areas of concentration requiring fewer courses than an undergraduate major. A course for lower division students in good standing who wish to undertake a program of individual inquiry initiated jointly by the student and a professor. in both labs and homework, students will engage computationally, physically, and visually with the concepts being introduced in addition to traditional paper/pencil exercises. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Self-paced course in functional programming, using the Scheme programming language, for students who already know how to program. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing. COMPUTER SCIENCE Bachelor of Arts INTRODUCTION TO THE MAJOR The Computer Science major (CS) deals with computer theory, methods of information processing, hardware and software design, and applications. Solution of differential and difference equations using transforms. There are several significant programming projects. In this course, we apply linear systems theory and basic physics to analyze X-ray imaging, computerized tomography, nuclear medicine, and MRI. Introduction to Embedded and Cyber Physical Systems: Introduction to Digital Design and Integrated Circuits. Copyright 2023-24, UC Regents; all rights reserved. It is not intended for students who have definitely decided to pursue a PhD immediately following graduation. Processes, interprocess communication, and synchronization. L&S Computer Science and Data Science majors may not pursue the EECS minor due to theredundancyin curriculum. In addition to the University, campus, and college requirements, students must fulfill the below requirements specific to their major program. Students will learn how to recognize when an appropriate Design Pattern may improve code quality, and refactor code to apply those Design Patterns; The 40 units of engineering courses cannot include: any course taken on a P/NP basis; courses numbered 24, 32, 39, 84, H194, H196; BIOENG 100; COMPSCI 70, C79; DATA C104, DESINV courses (except DESINV 15, 22, 23, 90E, 190E); ENGIN 125, 157AC, 180, 183 series, 185, 187, 195 series; INDENG 95,185, 186, 190 series, 191, 192, 195; MECENG190K, 191K. Group study of selected topics in electrical engineering, usually relating to new developments. Credit Restrictions: Students will receive no credit for COMPSCIW169A after completing COMPSCI169, or COMPSCI169A. Elements of computer logic design. Combinatorics and Discrete Probability: Read More [+], Instructors: Bartlett, Papadimitriou, Sinclair, Vazirani, Combinatorics and Discrete Probability: Read Less [-], Terms offered: Fall 2020, Fall 2018, Fall 2017 Modeling is emphasized in a way that deepens mathematical maturity, and in both labs and homework, students will engage computationally, physically, and visually with the concepts being introduced in addition to traditional paper/pencil exercises. Teamwork coordination, effective customer meetings, pre- and post-iteration team meetings, running scrums and standups, technical communication. Microfabrication Technology: Read More [+], Microfabrication Technology: Read Less [-], Terms offered: Fall 2015, Fall 2014, Fall 2013 Computer Science Schedule Help : r/berkeley - Reddit Directed Group Studies for Advanced Undergraduates: Read More [+], Prerequisites: 2.0 GPA or better; 60 units completed, Directed Group Studies for Advanced Undergraduates: Read Less [-], Terms offered: Fall 2021, Spring 2020, Fall 2018 Students will learn how to summarize the key architectural elements of RESTful SaaS applications and microservices; This requirement is listed in the freshman year curriculum, but many of the options would not be appropriate for a first year student. Thisincludes transfer units from outside of the UC system, other UC campuses, credit-bearing exams, as well as UC Berkeley Extension XB units. Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Grading/Final exam status: Letter grade. Theory of NP-completeness: Cook's theorem, NP-completeness of basic problems. They have growing impact in many other areas of science and engineering. Datahub is a tool that allows Berkeley's data science program to utilize cloud computing infrastructure to deploy scalable resources that enable users to interact remotely with a standardized, common computing environment. Completion of Work in Computer Science 61C: Read Less [-], Terms offered: Fall 2023, Summer 2023 8 Week Session, Spring 2023 Senior Honors Thesis Research: Read More [+], Prerequisites: Open only to students in the computer science honors program, Fall and/or spring: 15 weeks - 1-4 hours of independent study per week, Senior Honors Thesis Research: Read Less [-], Terms offered: Spring 2023, Spring 2010, Spring 2009 Interact with the internet and cloud services using protocols such as http, MQTT, Blynk, The modeling, analysis, and optimization of complex systems requires a range of algorithms and design software. Computer Science Computer Science About the Program The Department of Electrical Engineering and Computer Sciences (EECS) offers two graduate programs in Computer Science: the Master of Science (MS), and the Doctor of Philosophy (PhD). Major Application Form(status - currently closed). The Fifth Year MS program is focused on interdisciplinary training at a graduate level, with at least eight units of course work outside EECS required. Introduction to Database Systems: Read Less [-], Terms offered: Fall 2021, Spring 2021, Spring 2020 The same material as in 61C but in a lab-centric format. Cryptography or cryptology is the science of designing algorithms and protocols for enabling parties to communicate and compute securely in an untrusted environment (e.g. Instructors: Alon, Arcak, Ayazifar, Maharbiz, Niknejad, Ranade, Sahai, Subramanian, Tomlin, Formerly known as: Electrical Engineering 16A, Designing Information Devices and Systems I: Read Less [-], Terms offered: Fall 2023, Summer 2023 8 Week Session, Spring 2023 The design is mapped and demonstrated on an FPGA hardware platform. MOS transistors and poly-Si surface microstructures will be fabricated in the laboratory and evaluated. These courses also satisfy one upper division humanities/social sciences course. Data Structures: Read More [+], Prerequisites: COMPSCI61A, COMPSCI 88, or ENGIN7. Credit Restrictions: Students will receive no credit for COMPSCI61B after completing COMPSCI61BL, or COMPSCI47B. Topics will vary semester to semester. Additional Program Plans. What are they working on? degree. The 4 units of Technical Elective(s) cannot include: any course taken on a P/NP basis; any course that only counts as H/SS; courses numbered 24, 32 (except MCELLBI 32 and MCELLBI 32L), 39, 84, H194, 196, H196, H196A, H196B; BIOENG 100; CHEM 100, 149, 192; COMPSCI 10 (if taken after COMPSCI 61x), C79; DATA C104; DESINV courses (except DESINV 15, 22, 23, 90E, 190E); ENGIN 125, 157AC, 180, 183 series, 185, 187, 195 series; EPS C100; INDENG 95, 185, 186, 190 series, 191, 192, 195; INTEGBI 35AC, 88, 101, C105, 191; MATH 55, C103, 151, 152, 153, 160; MECENG 190K, 191K; PHYSICS 100. Honors Social Implications of Computer Technology: Terms offered: Fall 2021, Fall 2020, Fall 2016. technical units in the College of Letters and Science with a major in Computer Science. CS Scholars Seminar: The Educational Climate in CS & CS61A technical discussions: Read Less [-], Terms offered: Fall 2023, Spring 2022, Spring 2019 COMPSCI161can fulfill the Design requirement if taken Spring 2019 or later. Overview of run-time organization and error handling. Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Algorithms for clipping, hidden surface removal, rasterization, and anti-aliasing. degree. Sample space, events, probability law. The Five-Year Program is not intended for those who wish to pursue a PhD. Completion of Work in Computer Science 61B: Read Less [-], Terms offered: Fall 2023, Spring 2023, Fall 2022 Special Topics: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of lecture per week, Terms offered: Fall 2015, Spring 2015, Fall 2014 An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs. Group study of selected topics in Computer Sciences, usually relating to new developments. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Scan-line based and ray-based rendering algorithms. The labs lay the foundation of modern digital design by first setting-up the scripting and hardware description language base for specification of digital systems and interactions with tool flows. An ability to apply knowledge of mathematics, science, and engineering. Protection, security, and privacy. Currently in Data Science and would like to transfer into CS, need some advice on classes. The 4 units of technical elective(s) must be in addition to the natural science elective and the 20 units of required EECS upper division technical electives. Introduction to computer security. Courses | EECS at UC Berkeley Students who take PHYSICS5A must take PHYSICS5B and PHYSICS5BL to complete the physics requirement. The design of optical systems. Thesis work under the supervision of a faculty member. The aim is to give entering undergraduate students a comprehensive view of the field. Natural Science Elective - Select one course from the following: and Introduction to Human Physiology Laboratory, and Introduction to Experimental Physics II, Any upper division letter graded course of 3 units or more in astronomy, chemistry, earth and planetary science, integrative biology, molecular & cell biology, physics, or plant & microbial biology. A number of physical design issues visible at the architecture level are covered as well, such as interconnects, power, and reliability. Sample Program Plans for Incoming Freshmen. This course cannot be used to complete engineering unit or technical elective requirements for students in the College of Engineering. The EECS minor, offered through the College of Engineering, is an optional program for students interested in a coherent program of EECS coursework outside their major. Supervised Independent Study: Read More [+], https://engineering.berkeley.edu/students/advising-counseling/ess-advising/, ee-scheduling@eecs.berkeley.edu and eecs-advising@eecs.berkeley.edu. We welcome interest in our graduate-level Information classes from current UC Berkeley graduate and undergraduate students and community members. Use of UNIX utilities and scripting facilities for customizing the programming environment, organizing files (possibly in more than one computer account), implementing a personal database, reformatting text, and searching for online resources. This course allows students who have had a linear algebra and/or basic circuit theory course to complete the work in EE16A and be ready for EE16B or EE47E. Small teams of students will design and construct a mechatronic system incorporating sensors, actuators, and intelligence. Credit Restrictions: Students will receive no credit for 10 after having taken W10, 61A, 61B, or 61C. Together, this course sequence provides a comprehensive foundation for core EECS topics in signal processing, learning, control, and circuit design while introducing key linear-algebraic concepts motivated by application contexts. Two port small-signal amplifiers and their realization using single stage and multistage CMOS building blocks are discussed. Computer Vision DATASCI 281 introduces the theoretical and practical aspects of computer vision, covering both classical and state of the art deep-learning based approaches. Speed and scaling issues for CMOS are considered. May 4, 2023 UC Berkeley's new college comes as the University of Southern California plans to expand its own footprint in the field with its new School of Advanced Computing. Credit Restrictions: Students will receive no credit for COMPSCI61C after completing COMPSCI61CL. R&C courses must be taken for a letter grade (C- or better required). Robotic Manipulation and Interaction: Read More [+], Prerequisites: EECSC106A / BIOENGC125 or consent of the instructor, Terms offered: Fall 2023, Fall 2022, Fall 2021 Fundamentals of sensing and transduction mechanisms including capacitive and piezoresistive techniques, and design and analysis of micmicromachined miniature sensors and actuators using these techniques will be covered. Provides practical experience with composing larger systems through several significant programming projects. Students will learn the architecture and machinery of software as a service; the agile/XP methodology for software development and how it compares with other methodologies, including "Plan-and-document" methodologies;