Module: 3
Sponsoring Program: Bioinformatics/Biophysics
Administrator: Nicole Flowers

STUDY LIST INFORMATION
Course Number: BMI 219/BP 219
Course Name: Deep Learning for Biological Research: Advanced Topic
Units: 3
Grading Option: S/U
Course Director: Reza Abbasi-Asl

MORE COURSE INFORMATION
Other faculty: Jan Christoph, Mike Keiser
Dates: May 15 - June 2
Campus: MB
Location: BH 212
Schedule: M/W/F, 10:00 am - 12:00 pm, Recitations Tu/Th 1:00 - 3:00 pm
Minimum Class Size: 8
Maximum Class Size: 30

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).