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
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 the system software, and computer architecture. Course is 7 credits with integrated laboratories illustrating concepts covered in lecture. Note that CSE 12 assumes some programming experience. Students can show programming experience by taking one of the courses listed in the prerequisite list below or by taking the CSE python Test-out Exam: https://undergrad.soe.ucsc.edu/cse-20-testout-exam (Formerly CSE 12 and CSE 12L)
Instructor
The Staff, Tracy Larrabee, Darrell Long, Jose Renau Ardevol, Matthew Guthaus, Max Dunne, Sagnik Nath
Quarter offered
Fall, Winter, Spring, Summer
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, Davis Harrison
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.
Instructor
Tracy Larrabee, Martine Schlag, Owen Arden, 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. Students with prior programming experience (especially in Python) are encouraged to take CSE Testout Exam to be evaluated for their readiness to take
CSE 30 directly: https://undergrad.soe.ucsc.edu/cse-20-testout-exam.
Instructor
Narges Alvaro, Narges Norouzi, Tracy Larrabee, Faisal Nawab, Patrick Tantalo, Benedict Paten, Marilyn Walker
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
Introduction to the basic mathematical concepts and programming abstractions required for modern machine learning, data science, and empirical science. The mathematical foundations include basic probability, linear algebra, and optimization. The programming abstractions include data manipulation and visualization. The principles of empirical analysis, evaluation, critique and reproducibility are emphasized. Mathematical and programming abstractions are grounded in empirical studies including data-driven evidential reasoning, predictive modeling, and causal analysis.
Instructor
Lise Getoor, The Staff
General Education Code
SR
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
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
Cross-listed Courses
Writing by engineers and computer scientists to technical audiences. Writing exercises include: cover letter and resume for job application, tutorial writing, grant proposal, document specification, literature review, and a final technical report. Two oral presentations are also required, an in-class presentation and a poster presentation. Students also receive instruction in the use of UC library and journal database resources, and in the writing of a statement of purpose for graduate school application. Also offered as CSE 185S. (Formerly Computer Engineering 185, Technical Writing for Computer Engineers.)
Cross Listed Courses
CSE 185S
Quarter offered
Fall, Winter, Spring
An introduction to information theory including topics such as entropy, relative entropy, mutual information, asymptotic equipartition property, channel capacity, differential entropy, rate distortion theory, and universal source coding. (Formerly EE 253 and CMPS 250.)
Cross Listed Courses
CSE 208
Instructor
Hamid Sadjadpour, Yu Zhang
Introduces modern game theory, including applications in social science, biology, and engineering. Topics include extensive form, strategic form, mixed strategies, incomplete information, repeated games, evolutionary games, and simulation techniques.
Cross Listed Courses
CSE 166A
Instructor
John Musacchio
Explores research frontiers in game theory, emphasizing applications in social science, biology, and engineering. Each interdisciplinary team develops a topic, and presents it to the class in oral and written reports and demonstrations. Students must have shown a strong performance in course 166A or equivalent. Students cannot receive credit for this course and
ECON 272, CSE 209, or BIOE 274.
Cross Listed Courses
CSE 166B
Reviews static equilibrium concepts, games of incomplete information, and the traditional theory of dynamic games in discrete time. Develops recent evolutionary game models, including replicator and best reply dynamics, and applications to economics, computer science, and biology. Prerequisite(s): upper-division math courses in probability theory are strongly recommended. Cannot receive credit for this course and
ECON 166B or CSE 166B.
Cross Listed Courses
BIOE 274, CSE 209
Introduces students to data visualization and statistical programming techniques using the R language. Covers the basics of the language, descriptive statistics, visual analytics, and applied linear regression. Enrollment is by permission of the instructor. (Formerly Applied Math and Statistics 266A and Computer Science 266A.)
Cross Listed Courses
CSE 266A
Instructor
The Staff, Suresh Lodha
Teaches students already familiar with the R language advanced tools such as interactive graphics, interfacing with low-level languages, package construction, debugging, profiling, and parallel computation. (Formerly Applied Math and Statistics 266B and Computer Science 266B.)
Cross Listed Courses
CSE 266B
Introduces students to concepts and tools associated with data collection, curation, manipulation, and cleaning including an introduction to relational databases and SQL, regular expressions, API usage, and web scraping using Python. (Formerly Applied Math and Statistics 266C and Computer Science 266C.)
Cross Listed Courses
CSE 266C