Subject: AI Comp Drug Disc & Dev
Course Number: 204
Course Title: Computation and AI in Drug Discovery and Development
Units: 3
School: Pharmacy
Department: Bioengineering And Therapeutic Sciences

Course Description: This course provides examples of the application of computation and artificial intelligence (AI) at various stages in drug discovery and development. Key aspects of the course include a stepwise progression through this process with case examples covering drug discovery powered by AI and machine learning (ML) in target identification and drug design, model-informed drug development, applications of AI in disease modeling and precision medicine.
Prerequisites: None.
Restrictions: This course is limited to first year students in the AICD3 Program.
Activities: Direct - Lecture, Student - Lecture

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: Winter
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