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: A. JOSHI
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 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