CSCI 374 Schedule

Please note that this schedule is tenative and subject to change as the semester goes on. However, we will try to follow it as closely as possible.

Week	Date	Topic	Reading	Assignment
0	Sept 2	Hello, CSCI374!
1	Sept 5	Labor Day (No Class)		Week 1 Reflection
	Sept 7	Introduction to Machine Learning and Data Mining	ESL: Chp 1 ISLR: Chp 1 DL: 5.1 ML: Chp 1
	Sept 9	Supervised Learning	ESL: 2.1-2.2 ISLR: 2.1, 4.1 ML: 8.2 Paper
2	Sept 12	Supervised Learning and k-Nearest Neighbors	ESL: 2.3 ISLR: 4.7.6 ML: 8.2	Questionnaire (Due Sept 12) Week 2 Reflection Anonymous Checkin Survey (Optional)
	Sept 14	k-Nearest Neighbors
	Sept 16	Evaluating Performance	Handout ESL: 7.5 ISLR: 2.2.3 ML: Chp 5
3	Sept 19	Linear Regression	ESL: 3.1-3.2, 4.4 ISLR: 3.1, 4.3 DL: 5.1.4	HW1: k-Nearest Neighbors (Due Sept 21) Week 3 Reflection
	Sept 21	Stochastic Gradient Descent	ESL: 4.5.1 DL: 5.9 ML: 4.4
	Sept 23	Logistic Regression	ESL: 4.4.1-4.4.2 ISLR: 4.3.1-4.3.4
4	Sept 26	Multinomial Regression and One-Hot Encoding	ISLR: 4.3.5, 3.3.1	Week 4 Reflection Anonymous Check Survey (Optional)
	Sept 28	One-Hot Encoding and Logistic Workshop
	Sept 30	Neural Networks	ESL: 11.1 DL: 6.0-6.1
5	Oct 3	Neural Networks	ESL: 11.3 ISLR: 10.1-10.2 DL: 6.2-6.3	HW2: Logistic Regression (Due Oct 3 4) Week 5 Reflection
	Oct 5	Yom Kippur (No Class)
	Oct 7	Neural Networks	ESL: 11.4 ISLR: 10.7.1 DL: 6.5 ML: 4.5
6	Oct 10	Discussion Day #1	Readings	Final Project Group Formation (Due Oct 14)
	Oct 12	HW3 Workshop Day
	Oct 14	Linear Algebra, Tensorflow/PyTorch, and GPUs
Fall Break
7	Oct 24	Decision Trees	ML: 3.1-3.3	Discussion Day 1 Reflection (Due Oct 24) Final Project Proposals (Due Oct 28) Week 7 Reflection
	Oct 26	Decision Trees	ESL: 9.2.1 ISLR: 8.1 (Intro) ML: 3.4
	Oct 28	Decision Trees
8	Oct 31	Decision Trees (Numeric Values)	ESL: 9.2.3 ISLR: 8.1.2 ML: 3.7.2	HW3: Neural Networks (Due Oct 26 31) Week 8 Reflection Anonymous Checkin Survey (Optional)
	Nov 2	Missing Values	ESL: 9.2.4 ML: 3.7.4
	Nov 4	Probability	DL: 3.1-3.7
9	Nov 7	Bayes Theorem	DL: 3.11 ML: 6.2	HW4: Decision Trees (Due Nov 11) Week 9 Reflection
	Nov 9	Naive Bayes + HW4 Discussion	ESL: 6.6.3 ISLR: 4.4.4, 4.7.5 ML: 6.9
	Nov 11	Naive Bayes
10	Nov 14	Association Rule Mining	ESL: 14.2.1	Week 10 Reflection
	Nov 16	Association Rule Mining	ESL: 14.2.2
	Nov 18	Random Forests and Clustering	ESL: 15.1-15.3, 14.3 ISLR: 8.2.2, 12.4, 12.5.3
11	Nov 21	Discussion Day #2	Readings	HW5: Experiments (Due Nov 23)
	Nov 23	Group Project Workshop
	Nov 25	Thanksgiving Break (No Class)
12	Nov 28	Clustering		Discussion Day 2 Reflection (Due Nov 30) Week 12 Reflection Anonymous Checkin Survey (Optional)
	Nov 30	Sequential Learning + Recurrent Neural Networks	ISLR: 10.5, 10.9.6 DL: 10.2
	Dec 2	Recurrent + Convolutional Neural Networks
13	Dec 5	Convolutional Neural Networks		Final Project Checkin (Due Dec 5)
	Dec 7	Hyperparameter Search
	Dec 9	Feature Selection and Class Imbalance
14	Dec 12	Final Day		Final Reflection (Due Dec 13, Ext. Dec 17)
Final Project Due Monday December 19 at 4:00 PM