CSI 5180: Topics in Artificial Intelligence: Machine Learning for Bioinformatics Application

This page contains an outline of the topics, content, and assignments for the semester.

Note that this schedule will be updated as the semester progresses, with all changes documented here.

Week	Date	Topic	Prepare	Slides	Assignment	Exam
1	-	Overview	-		-	-
	-	Essential Celluar Biology	-		-	-
2	-	Essential Celluar Biology (continued)	-		-	-
	-	Essential Bioinformatis skills	-		-	-
3	-	Essential Bioinformatis skills (continued)	-		-	-
	-	Fundamentals of machine learning	-		-	-
4	-	Fundamentals of machine learning	-		-	-
	-	Fundamentals of machine learning	-		-	-
5	-	Fundamentals of machine learning	-		-	-
	-	Unsupervised learning	-		-	-
6	-	Regularized linear models	-		-	-
	-	Decision Trees	-		-	-
7	-	Midterm examination	-	-	-	-
	-	Hidden Markov Models	-		-	-
8	-	Support Vector Machines	-		-	-
	-	Kernel Methods	-		-	-
9	-	Deep Learning Fundamentals	-		-	-
	-	Deep Learning Embeddings and Transfer Learning	-		-	-
10	-	Deep Learning Architecture	-		-	-
	-	Deep Learning Practical Considerations	-		-	-
11	-	Rule Learning	-		-	-
	-	Graph Learning	-		-	-
12	-	Ensemble Learning	-		-	-
	-	-	-		-	-