Lower-Division

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.)

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.)

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.)

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)

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.

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 programming experience are strongly recommended to take CSE 20 or CSE 30 before taking this course.

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.

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.

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.

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.)

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.)

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.)

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.)

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.

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.

Students submit petition to sponsoring agency.

Students submit petition to sponsoring agency.