Provides an introduction to computers. Personal computing is emphasized, and students are introduced to word processing, spreadsheets, database management, graphics, and programming. Covers fundamentals of computing and current and future uses of computer technology, PC hardware, Windows operating system, applications software, networking and the Internet, and developments in the computer industry. Designed for students with little or no experience using computers. Students cannot receive credit for this course and Computer Science 2. (Formerly Computer Engineering 3.)
Quarter offered
Fall, Winter, Spring, Summer
Introduces programming in Java for students who have no prior programming experience. Students learn programming and documentation skills, as well as algorithmic problem-solving, and programming methodologies. Introduces computers, compilers, and editors. Students write small to medium-sized programs. This course and CSE 5C and CSE 5P cover similar concepts, but use different programming languages. Because
CSE 5J followed by CSE 11 is a two-quarter alternative to the accelerated course CSE 12A and
CSE 12L, engineering majors and students planning on continuing the programming sequence are encouraged to take
CSE 5J rather than CSE 5C or CSE 5P. Students may not receive credit for
CSE 5J taken concurrently or subsequently to CSE 12A, CSE 12B, or Computer Engineering 13. (Formerly CMPS 5J.)
General Education Code
MF
An overview of the theory, foundations, and practice of computer science with emphasis on what computers can and cannot do, now and in the future. Topics include algorithms and data, correctness and efficiency of algorithms, hardware, programming languages, limitations of computation, applications, and social issues. No programming skills are required as a prerequisite. Major concepts and open problems in computer science are presented without reliance on sophisticated mathematical tools. Students cannot receive credit for this course after completing CSE 15. (Formerly CMPS 10.)
Instructor
The Staff, Patrick Tantalo, Marilyn Walker
General Education Code
MF
Introduction to computer systems and assembly language and how computers compute in hardware and software. Topics include digital logic, number systems, data structures, compiling/assembly process, basics of system software, and computer architecture. May include C language. Students with no prior programming experience are strongly recommended to take CSE 3, Computer Science 5J, Computer Science 5P, Computer Science 10, or equivalent before taking this course. (Formerly Computer Engineering 12.)
Instructor
The Staff, Tracy Larrabee, Darrell Long, Jose Renau Ardevol, Matthew Guthaus, Max Dunne
Quarter offered
Fall, Winter, Spring, Summer
Introduction to computer systems and assembly language and how computers compute in hardware and software. Topics include digital logic, number systems, data structures, compiling/assembly process, basics of system software, and computer architecture. May include C language. Students with no prior programming experience are strongly recommended to take CSE 3, Computer Science 5J, Computer Science 5P, Computer Science 10, or equivalent before taking this course. (Formerly Computer Engineering 12L.)
Instructor
The Staff, Tracy Larrabee, Darrell Long, Jose Renau Ardevol, Matthew Guthaus, Max Dunne
Quarter offered
Fall, Winter, Spring, Summer
Introduction to the C programming language as a means for controlling embedded computing systems. Continuing the exploration begun in course 12, students move to higher levels of abstraction in the control of complex computer systems. Students cannot receive credit for both
CSE 13E and
CSE 13S. Course is 7 credits with integrated laboratory. (Formerly Computer Engineering 13, Computer Systems and C Programming, and Computer Engineering 13L, Computer Systems and C Programming Lab.)
Instructor
The Staff, Ethan Miller, Darrell Long, Gabriel Elkaim, Maxwell Dunne
Quarter offered
Winter, Spring
Focuses on C programming, command line, shell programming, editors, debuggers, source code control, and other tools. Examines basic computer systems, algorithm design, and development, data types, and program structures. Develops understanding of process model, compile-link-execute build cycle, language-machine interface, memory, and data representation. Students cannot receive credit for both
CSE 13S and
CSE 13E. Course is 7 credits with integrated laboratory.
Instructor
Darrell Long, Peter Alvaro, Faisal Nawab
Quarter offered
Fall, Winter, Spring
Introduction to applications of discrete mathematical systems. Topics include sets, functions, relations, graphs, predicate calculus, mathematical proof methods (induction, contraposition, contradiction), counting methods (permutations, combinations), and recurrences. Examples are drawn from computer science and computer engineering. Knowledge of computer programming is useful before taking this course. Students who do not have prior programing experience are strongly recommended to take Computer Science 5C, 5J, or 5P before taking this course. (Formerly Computer Engineering 16.)
Instructor
Tracy Larrabee, Martine Schlag, William Dunbar, Chen Qian, Alvaro Cardenas
General Education Code
MF
Quarter offered
Fall, Winter, Spring, Summer
Provides students with Python programming skills and the ability to design programs and read Python code. Topics include data types, control flow, methods and advanced functions, built-in data structures, and introduction to OOP. No prior programming experience is required. Students may not receive credit for
CSE 20 after receiving credit for
CSE 30. (Formerly CMPS 5P, Introduction to Programming in Python.)
Instructor
Narges Alvaro, Narges Norouzi, Tracy Larrabee, Faisal Nawab, Patrick Tantalo, Benedict Paten, Marilyn The Staff
General Education Code
MF
Quarter offered
Fall, Winter, Spring
Introduction to software development in Python focusing on structuring software in terms of objects endowed with primitive operations. Introduces concepts and techniques via a sequence of concrete case studies. Coursework consists of programming assignments and a final examination. Note that CSE 30 assumes some Python experience, students trained in a different language should self-study Python to prepare for CSE 30. See CSE Testout Exam for resources and further information.
Instructor
L. De Alfaro, P. Alvaro, D. Bailey, L. Kuper, A. Pang
Quarter offered
Fall, Winter, Spring
Addresses the use of information systems (IS) within a business enterprise. Subjects include computer hardware and software concepts, system design and implementation, telecommunications, data management, transaction-based systems, management information systems, and the use of IS to compete. Intended for technology and information management and business management economics majors. (Formerly TIM 50.)
Instructor
Ramakrishna Akella, John Musacchio, Yihsu Chen
Quarter offered
Fall, Winter, Spring
Students learn how information technology is used to deal with business requirements and/or solve business problems. Provides an understanding of structured computer systems analysis and design methodologies and techniques and their application to business information systems. Intended for technology and information management and business management economics majors. (Formerly TIM 58.)
Overview of human-centered technology and of its potential for increasing the quality of life and independence of disabled individuals. A substantial portion of the course is devoted to studying physical, psychological, and psychosocial aspects of disability. Topics include: diversity and integration, legislation, accessibility, and universal design. (Formerly Computer Engineering 80A.)
Instructor
Roberto Manduchi, Sri Kurniawan
General Education Code
PE-T
Focuses on the creation and management of technology start-ups and small companies, using case studies and team projects as the basis for learning and applying the course materials. (Formerly TIM 80C.)
Instructor
Subhas Desa, David Lee
Course examines: social data analytics--veracity, consistency, uncertainty, volume; statistical computation--misuse, bias, dispersion, correlation, regressions, differential scales, normal distributions, factor and cluster analysis, extrapolation, inference, simple programming; visual representations--communication, critique and design of infographics; applications--environment, energy, economics, education, empowerment. (Formerly Computer Science 80L.)
General Education Code
SR
Introduction to the evolution, technological basis, and services of the Internet, with descriptions of its underlying communications structure, routing algorithms, peer-to-peer hierarchy, reliability, and packet switching. Network security, mail, multimedia and data compression issues, HTML, and digital images. Students who have completed CSE 150 cannot receive credit for this course. (Formerly Computer Engineering 80N.)
Instructor
Chris Parsa, Tracy Larrabee, Patrick Mantey, Chen Qian
General Education Code
PE-T
Quarter offered
Fall, Winter, Spring
Introduction to social networks and game theory. Topics include the structure of social networks; the world wide web; the flow of information and behavior through networks; and the principles behind modern web search and search-ad placement. (Formerly Computer Science 17.)
Instructor
Phokion Kolaitis, Lise Getoor
General Education Code
SR
Provides a means for a small group of students to study a particular topic in consultation with a faculty sponsor. Students submit petition to sponsoring agency.
Quarter offered
Fall, Winter, Spring
Provides a means for a small group of students to study a particular topic in consultation with a faculty sponsor. Students submit petition to sponsoring agency.
Quarter offered
Fall, Winter, Spring
Students submit petition to sponsoring agency.
Quarter offered
Fall, Winter, Spring
Students submit petition to sponsoring agency.
Quarter offered
Fall, Winter, Spring