Course Schedule and Catalog
Course Schedule - Fall 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.
COMP 614 001 (CRN: 12067)
PROGRAMMING FOR DATA SCIENCE
Long Title: COMPUTER PROGRAMMING FOR DATA SCIENCE
Department: Computer Science
Instructor: Chida, Anjum
Meeting: 4:00PM - 5:15PM MW (25-AUG-2025 - 5-DEC-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 Program(s):
Online Mstr Eng Mgmt Leadrship
Online Master Computer Science
Online Master of Data Science
Master of Data Science
Master of Eng Mgmt & Leadershp
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 60
Section Enrolled: 2
Enrollment data as of: 19-APR-2025 10:58PM
Final Exam: GR Course-Dept Schedules Exam
Description: An introduction to computer programming designed to give an overview of programming and algorithmic topics commonly seen in Data Science, such creating and manipulating data structures, graphs, dynamic programming, sorting and heuristic search algorithms. Students learn how to think about these problems and how to structure effective solutions to them using Python. No prior programming knowledge is required or expected. In order to enroll in an online section of this course, you are expected to have a working camera and microphone. During class sessions, you must be able to participate using your microphone and you are expected to have your camera on for the duration of the class so that you are visible to the instructor and other students in the class, just as you would be in an in-person class.