Subject: Biological & Medical Informatics
Course Number: 212
Course Title: Deep Learning for Biological and Clinical Research
Units: 5
School: Medicine
Department: Neurology
Additional (School) Department: (Medicine) Bioengineering And Therapeutic Sciences

Course Description: This course will establish the foundations of deep learning through lectures, weekly seminars, and a hands-on approach in Python. We will cover the basics of regression and classification, model optimization, and neural network architectures, including autoencoders, convolutional networks, and transformers, with the use cases of these models in biological and clinical research. This is the same class as BIOENGR 212. Students should ensure they are registering with the right course number.
Prerequisites: Experience with numerical computation in Python is required.
Restrictions: None.
Activities: Direct - Lecture, Direct - Seminar, Direct - Discussion, Student - Lecture, Student - Seminar, Student - Project

Instructor of Record: R. Abbasi Asl
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