BMI 219 Deep Learning for Biological Research (2022)

Module: 3
Sponsoring Program: BMI
Administrator: Julia Molla

Course Number:
BMI 219
Course Name: Deep Learning for Biological Research
Units: 3
Grading Option: S/U
Course Director: Reza Abbasi-Asl

Other faculty: Rima Arnaout, Mike Keiser, Roozbeh Farhoodi
Dates: May 9-May 27
Campus: MB
Room: MH-1402
Schedule: M-W-F 10-12,  T-Th 1-3
Maximum Class Size: 20

Course Description: This three-week mini-course will establish the foundations of practical deep learning through a hands-on approach in Python. We will cover the basics of regression and classification, the optimization and training of neural networks, and model architectures including autoencoders, convolutional neural networks, and recurrent neural networks. The primary goal of this course is to equip students with the necessary foundations to apply basic neural networks to their own research. Experience with numerical computation in Python is required (or permission from the Instructor).