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.
STAT 624 001 (CRN: 26711)
MODERN AI MODELS
Long Title: MODERN ARTIFICIAL INTELLIGENCE MODELS AND ALGORITHMS
Department: Statistics
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):
Graduate
Prerequisites: COMP 642 OR ELEC 578 OR STAT 613 OR COMP 557 OR ELEC 557 OR COMP 540 OR INDE 577
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 4:43AM
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: DSCI 424, STAT 424. Mutually Exclusive: Cannot register for STAT 624 if student has credit for DSCI 424/STAT 424.