Course Schedule and Catalog
Course Schedule - Fall Semester 2022
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 303 002 (CRN: 14613)
MACHINE LEARNING FOR DS
Long Title: MACHINE LEARNING FOR DATA SCIENCE
Department: Data Science
Instructor: Sano, Akane
Meeting: 2:30PM - 3:45PM TR (22-AUG-2022 - 2-DEC-2022)
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 101 OR COMP 140) AND DSCI 302 AND (DSCI 301 OR STAT 310 OR STAT 280 OR STAT 305 OR ELEC 303 OR PSYC 339 OR SOCI 382 OR BIOE 439 OR ECON 307)
Section Max Enrollment: 49
Section Enrolled: 21
Enrollment data as of: 28-APR-2024 5:47PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
9-DEC-2022
7:00PM - 10:00PM F
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. Mutually Exclusive: Cannot register for DSCI 303 if student has credit for ELEC 478/ELEC 578.