Course Schedule and Catalog
Course Schedule - Fall Semester 2019
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.
COMP 340 001 (CRN: 13067)
STATISTICAL MODELS FOR DS
Long Title: STATISTICAL MODELS AND ALGORITHMS FOR DATA SCIENCE
Department: Computer Science
Instructor: Subramanian, Devika
Meeting: 10:00AM - 10:50AM MWF (26-AUG-2019 - 6-DEC-2019)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: COMP 140 AND (MATH 212 OR MATH 222)
Section Max Enrollment: 19
Section Enrolled: 18
Enrollment data as of: 26-APR-2024 9:05PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
16-DEC-2019
9:00AM - 12:00PM M
Description: The course is an intermediate level course in data science for students at the sophomore level with some experience in programming and background in mathematics (calculus). The course teaches students to “do” data science in Python using six modules to illustrate fundamental data science operations, data cleaning, model exploration, model formulation, model visualization, model communication. Recommended Prerequisite(s): COMP 182.