Topics may vary from quarter to quarter.

Hidden Data in Random Matrices (4). DSC 106. May be taken for credit up to two times. Make sure to also read How to Declare a Minor.

Prerequisites: DSC 102. Independent Study in Data Science (2 or 4). All other students will be allowed as space permits. Click below to see updates regarding CSS as it relates to COVID-19. Data visualization helps explore and interpret data through interaction. Prerequisites: Restricted to junior and senior level students. Topics of special interest in data science. Lower Division . San Diego General Catalog 2020–21, please contact the department The course will introduce a variety of No-SQL data formats, data models, high-level query languages, and programming abstractions representative of the needs of modern data analytic tasks. This course introduces the principles of computing systems and infrastructure for scaling analytics to large datasets. Department stamp required. Tutor Apprenticeship in Data Science (2). The computational social science minor is available now!

The Data Science program, open to all students starting September 25, 2017, is a new interdisciplinary major and minor administered by the CSE department and co-sponsored by Cognitive Science, and Mathematics departments. DSC 599. Directed study and research at laboratories/institutions outside of campus. DSC 40A-B connect to DSC 10, 20, and 30 by providing the theoretical foundation for the methods that underlie data science. Students will receive training in skills and techniques necessary to be effective tutors for data science courses. A graduate seminar course in which topics of special interest in data science will be presented by faculty or by graduate students under faculty direction. Introduction to Data Management (4). Students are strongly recommended to enroll in either DSC 10 or DSC 20 concurrently. Minor petitions can be found on Tritonlink and are submitted electronically. This course examines theoretical and practical communication and teaching techniques particularly appropriate to data science. May be taken for credit up to nine times.

The new major, along with the minor, is expected to add 200 students per year and then grow to around 1000 students as it rolls out over the next four years. Department and instructor approval is required to monitor enrollment and to ensure that students have the sufficient educational background for a given topic.

The minor in Political Science - Data Analytics is designed for non-Political Science students who wish to learn more about the fundamentals of statistical inference, probability, research design, data collection and management, hypothesis testing, and computation in the context of hands-on learning applied to political and social problems. Students master the data science life-cycle and learn many of the fundamental principles and techniques of data science spanning algorithms, statistics, machine learning, visualization, and data systems. Priority enrollment is given to data science majors DS25. Independent Study for Data Science Undergraduates (2 or 4). All rights reserved.

CSS combines social science subject matter and applied training in data management. All rights reserved.

Special Studies Form, consent of the instructor, and approval of the department required.

Consent of the instructor and approval of the department. Completion of thirty units at UC San Diego with a university GPA of 3.0. Students will become familiar with mathematical language for expressing data analysis problems and solution strategies, and will receive training in probabilistic reasoning, mathematical modeling of data, and algorithmic problem solving. Sources of data include time series and streaming signals and various imaging modalities. The data science minor is housed in the Department of Sociology with support from the College of Engineering. Consent of the instructor and approval of the department.

Restricted to first-year and sophomore level students. Courses. Students will learn about a variety of topics in data science through interactive presentations from faculty and industry professionals. May be taken for credit three times.

General Catalog 2020–21     With this interdisciplinary approach, students develop these technical skills while tailoring their studies to their unique interests and needs. DSC 40A will introduce fundamental topics in machine learning, statistics, and linear algebra with applications to data analysis. Spatial Data Science and Applications (4). Students will investigate a topic in data science through directed reading, discussion, and project work under the supervision of a faculty member. Please reach out to the Department's Undergraduate Advisor via the Virtual Advising Center or in-person advising for more information.

This course is an introduction to storage and management of large-scale data using classical relational (SQL) systems, with an eye toward applications in data science. Prerequisites: MATH 20C or MATH 31BH and MATH 18 or MATH 31AH and DSC 20 and DSC 40A. Catalog of Record. Signal Processing for Data Analysis (4).

May be taken for credit up to two times. This course, the first of a two-course sequence (DSC 40A-B), will introduce the theoretical foundations of data science. All rights reserved. This upper-division course explores advanced data science concepts for spatial data, introducing students to principles and techniques of spatial data analysis, including geographic information systems, spatial big data management, and geostatistics. May be repeated for credit twenty-four times as topics vary.

Topics include sampling theory, Fourier analysis, lossy transformations and compression, time and spatial filters, and random Fourier features and connections to kernel methods.

Prerequisites: DSC 80.

Topics include hierarchical graph database systems, unrestricted graph database systems, array databases, comparison of expressive power of the data models, and parallel programming abstractions, including Map/Reduce and its descendants. Topics include singular value decomposition for matrices, maximal likelihood estimation, least squares methods, unbiased estimators, random matrices, Wigner’s semicircle law, Markchenko-Pastur laws, universality of eigenvalue statistics, outliers, the BBP transition, applications to community detection, and stochastic block model. Prerequisites: DSC 40A. Prerequisites: DSC 20. DSC 155. Directed Group Study in Data Science (2 or 4). Prerequisites: MATH 18 or MATH 31AH and MATH 20C and DSC 40B. An application for Special Studies must be filed with the Registrar’s Office after approval from the instructor and the department chair. Prerequisites: DSC 102 and MATH 189 and CSE 151 or CSE 158. Regents of the University of California.

Hands-on examples will equip students to work with text data in final projects. Completion of thirty units at UC San Diego with a university GPA of 3.0. When you’re doing data science, you have the tools to unlock truths about the world in any field, from proving institutional inequality to finding out which ice cream flavor is the most popular in the United States. For course descriptions not found in the UC Students will participate in independent study or research in data science under the direction of a UC San Diego faculty member. Prerequisites: Restricted to junior and senior level students.

A course in which teaching assistants are aided in learning proper teaching methods by means of supervision of their work by the faculty: handling of discussions, preparation and grading of examinations and other written exercises, and student relations. for more information.

This course bridges lower- and upper-division data science courses as well as methods courses in other fields. Topics vary from quarter to quarter. May be taken for credit up to two times. DSC 170. Training in teaching methods in the field of data science. Prerequisites: DSC 80. Student must complete a total of seven political science courses (28 units), including two lower division courses (8 units) and five upper-division courses (20 units). DSC 40A. This course addresses the intersection of data science and contemporary arts and culture, exploring four main themes of authorship, representation, visualization, and data provenance. Students must have applied for and been accepted as a tutor for a DSC course for the first time; enrollment in DSC 95 is required for these students. UC San Diego 9500 Gilman Dr. La Jolla, CA 92093 (858) 534-2230.