![]() Language, relational data modeling and schema design, elements of cost-based The course covers topics including the SQL data model and query Using classical relational (SQL) systems, with an eye toward applications inĭata science. This course is an introduction to storage and management of large-scale data All other students will be allowed as space Of data science spanning algorithms, statistics, machine learning, Science life-cycle and learn many of the fundamental principles and techniques This course bridges lower- and upper-division data scienceĬourses as well as methods courses in other fields. Is redefining how people and organizations solve challenging problems and The marriage of data, computation, and inferential thinking, or “data science,” Restricted to students within the DS25 major. Theory, probability, and continuous and discrete algorithms Introduces fundamental topics in combinatorics, graph DSC 40B, the second course in the sequence, Mathematical modeling of data, and algorithmic problem Mathematical language for expressing data analysis problemsĪnd solution strategies, probabilistic reasoning, The sequence DSC 40A-B introduces the theoreticalįoundations of data science and covers the following topics: Theoretical Foundations of Data Science II Show past sites Fall 2022 (Hy and Soleymani) Prerequisites: DSC 10, MATH 20C or MATH 31BH, and MATH 18 or MATH 20F or MATHģ1AH. Providing the theoretical foundation for the methods that underlie data science. DSC 40A-B connect to DSC 10, 20, and 30 by DSC 40A will introduceįundamental topics in machine learning, statistics, and linear algebra withĪpplications to data analysis. Modeling of data, and algorithmic problem solving. Strategies, and will receive training in probabilistic reasoning, mathematical Mathematical language for expressing data analysis problems and solution This course, the first of a two-course sequence (DSC 40A-B), will introduce the Theoretical Foundations of Data Science I Other students will be allowed as space permits. Trees, binary search trees, and hash tables. Stacks, queues, priority queues, heaps, linked lists, binary Including encapsulation, abstract data types, interfaces,Īlgorithms and complexity, and data structures such as Students will study advanced programming techniques Several significant programming projects using Java. All other students will beĭata Structures and Algorithms for Data Scienceīuilds on topics covered in DSC 20 and provides practicalĮxperience in composing larger computational systems through Topics including recursion, higher-order functions, functionĬomposition, object-oriented programming, interpreters,Ĭlasses, and simple data structures such as arrays, lists,Īnd linked lists. Course will be taught in Python and will cover ![]() Introduced in DSC 10 and exposing students to techniques ofĪbstraction. The programs, algorithms, and languages used in data scienceīy expanding the repertoire of computational concepts Provides an understanding of the structures that underlie Programming and Data Structures for Data Science Show past sites Winter 2023 (Tiefenbruck)įall 2022 (Rampure, Tabaghi, and Tiefenbruck) In Python that cover data processing, modeling, and This course emphasizes an end-to-endĪpproach to data science, introducing programming techniques Tools necessary to answer questions that arise from This introductory course develops computational thinking and Undergraduate Courses Data Science (DSC) Course Code Table of ContentsĪ related list, compiled by Jason Fleischer, contains descriptions of all ML/AI-adjacent courses at UCSD as of 2020/2021. For official information about all of our course offerings, please refer to the Undergraduate and Graduate program pages on the official HDSI website. With any questions with this site, feel free to email Note: This is not intended to be used as a list of all courses that HDSI offers, and the information here may be out of date. The most recent offering of each course available is shown by default click “Show past sites” to show sites from previous quarters. This site contains course websites for many of the courses in and adjacent to UCSD’s Data Science curriculum. ![]()
0 Comments
Leave a Reply. |