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.
COMP 329 001 (CRN: 26664)
SYSTEMS FOR AI
Long Title: SYSTEMS FOR ARTIFICAL INTELLIGENCE
Department: Computer Science
Instructors:
Meeting: 12:30PM - 1:45PM WF (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: COMP 215 AND COMP 222 AND COMP 345
Section Max Enrollment: 50
Section Enrolled: 0
Enrollment data as of: 2-NOV-2026 12:59PM
Final Exam: Scheduled Final Exam-OTR Room
Description: This course explores the systems and infrastructure that are used for modern artificial intelligence (AI) applications. As both data and computation are crucial to modern AI, the course will cover the theory and practice of systems for data processing and systems for AI computation. On the data side, the course will cover systems that facilitate data management, cleaning and preparation, with a focus on the relational model, relational database systems, as well as Big Data systems such as Apache Spark. On the computation side, the course will cover the use of modern AI accelerators such as GPUs, the theory and practice of parallelizing AI models across multiple computational units, with emphasis on understanding the hardware-software interface.