Course Schedule and Catalog
Course Schedule - Spring Semester 2027
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 424 001 (CRN: 26703)
MODERN AI MODELS
Long Title: MODERN ARTIFICIAL INTELLIGENCE MODELS AND ALGORITHMS
Department: Data Science
Instructor: Barman, Arko
Meeting: 2:00PM - 3:15PM MF (11-JAN-2027 - 23-APR-2027)
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 303 OR COMP 341 OR ELEC 378 OR ELEC 478 OR STAT 413 OR COMP 440 OR ELEC 440 OR CMOR 438
Section Max Enrollment: 50
Section Enrolled: 0
Total Cross-list Max Enrollment: 100
Total Cross-list Enrolled: 0
Waitlisted: 0 (Max 297)
Current members of the waitlist have priority for available seats.
Enrollment data as of: 2-NOV-2026 6:26AM
Final Exam: No Final Exam
Description: In this course, students will learn the foundations of modern Artificial Intelligence (AI) models and algorithms, including Deep Learning, Computer Vision, Natural Language Processing (including Large Language Models), Explainable AI, Generative AI, and Reinforcement Learning. Applications of these models in several real-world tasks will be discussed. Students will also gain hands-on experience in the design and application of these models on real-world datasets. Cross-list: STAT 424, STAT 624. Mutually Exclusive: Cannot register for DSCI 424 if student has credit for STAT 624.