Course Schedule and Catalog
Course Schedule - Spring Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
DSCI 303 001 (CRN: 26888)
MACHINE LEARNING FOR DS
Long Title: MACHINE LEARNING FOR DATA SCIENCE
Department: Data Science
Instructor: Sano, Akane
Meeting: 11:00AM - 12:15PM MW (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: DSCI 301 OR STAT 310 OR STAT 280 OR STAT 305 OR ELEC 303 OR PSYC 339 OR SOCI 382 OR SOSC 302 OR BIOE 439 OR ECON 307
Section Max Enrollment: 49
Section Enrolled: 20
Enrollment data as of: 21-JAN-2025 10:36AM
Final Exam: Scheduled Final Exam-OTR Room
Description: This course is a practical introduction to machine learning, emphasizing when and how to apply techniques and how to interpret results. Topics covered include regression, classification, dimension reduction, clustering, decision trees, ensemble learning, and neural networks. Recommended Prerequisite(s): STAT 315 or DSCI 101 or COMP 140 and DSCI 302 (may be taken concurrently) or COMP 330 or COMP 430 Mutually Exclusive: Cannot register for DSCI 303 if student has credit for ELEC 478/ELEC 578.