Subject: AI Comp Drug Disc & Dev
Course Number: 207
Course Title: Advanced Omics Analysis and Systems Pharmacology
Units: 4
School: Pharmacy
Department: Bioengineering And Therapeutic Sciences

Course Description: This course provides an in-depth exploration of omics data analysis, emphasizing the integration of advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques. Students will gain an understanding of omics research, its applications in systems biology, and the challenges of integrating multi-modal data to derive actionable insights.
Prerequisites: None.
Restrictions: None.
Activities: Direct - Lecture, Direct - Workshop, Student - Lecture, Student - Workshop, Student - Project

Instructor of Record: J. Chun
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Spring
Course Grading Convention: Letter Grade
Graduate Division course: No
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No