CSCI 373 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 (Optional) |
Assignment |
|---|---|---|---|---|
| 1 | Feb 5 | Hello, CSCI373! |
Questionnaire (Due 2/12)
Week 1 Reflection (Due 2/11) |
|
| Feb 7 | Introduction to Machine Learning |
ML: Chp 1
ESL: Chp 1 ISLR: Chp 1 DL: 5.1 |
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| Feb 9 | Supervised Learning |
ML: 8.2
ESL: 2.1-2.2 ISLR: 2.1, 4.1 CSS Chapter Paper |
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| 2 | Feb 12 | Supervised Learning | Week 2 Reflection (Due 2/18) | |
| Feb 14 | Lab 1: Python Libraries | |||
| Feb 16 | k-Nearest Neighbors |
ML: 8.2
ESL: 2.3 ISLR: 4.7.6 |
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| 3 | Feb 19 | k-Nearest Neighbors |
HW1: k-Nearest Neighbors (Due Week 3 Reflection (Due 2/25) Anonymous Checkin Survey (Optional) |
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| Feb 21 | Lab 2: pandas and scikit-learn | |||
| Feb 23 | Evaluating Performance |
Handout
ML: Chp 5 ESL: 7.5 ISLR: 2.2.3 |
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| 4 | Feb 26 | Evaluating Performance |
Group Project Formation (Due 3/11)
Week 4 Reflection (Due 3/3) |
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| Feb 28 | Decision Trees and Lab Catchup Day |
ML: 3.4
ESL: 9.2.1 ISLR: 8.1 (Intro) |
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| Mar 1 | Decision Trees (ID3) | ML: 3.7.2 | ||
| 5 | Mar 4 | Decision Trees (CART) |
ESL: 9.2.3
ISLR: 8.1.2 |
HW2: Trees and Forests (due 3/15)
Week 5 Reflection (Due 3/10) |
| Mar 6 | Lab 3: Data Visualization | |||
| Mar 8 |
Random Forests and Boosting
+ Linear Regression |
ESL: 15.1-15.3, 14.3, 3.1-3.2
ISLR: 8.2.2, 12.4, 12.5.3, 3.1 |
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| 6 | Mar 11 | Linear and Logistic Regression |
ESL: 4.4.1-4.4.2, 4.5.1
ISLR: 4.3.1-4.3.5, 3.3.1 |
Group Project Proposal (Due 4/8)
Week 6 Reflection (Due 3/17) Anonymous Checkin Survey (Optional) |
| Mar 13 | Lab 4: Data Transformations | |||
| Mar 15 | Stochastic Gradient Descent | DL: 5.1.4, 5.9 | ||
| 7 | Mar 18 | Stochastic Gradient Descent + Bias-Variance Tradeoff |
ESL: 2.9
ISL: 2.2.2 |
HW3: Weighted Models (due 4/3)
Week 7 Reflection [Bonus] (Due 3/31) |
| Mar 20 | Support Vector Machines + Neural Networks |
ESL: 11.1
DL: 6.0-6.1 |
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| Mar 22 | Neural Networks |
ESL: 11.3
ISLR: 10.1-10.2 DL: 6.2-6.3 |
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| Spring Break | ||||
| 8 | Apr 1 | Neural Networks |
ML: 4.5
ESL: 11.4 ISLR: 10.7.1 DL: 6.5 |
HW4: Neural Networks (Due 4/19)
Week 8 Reflection (Due 4/7) |
| Apr 3 | Lab 5: Tensorflow | |||
| Apr 5 | Neural Networks | |||
| 9 | Apr 8 | Neural Networks |
Group Project Check-In (Due 5/1)
Week 9 Reflection (Due 4/14) Anonymous Checkin Survey (Optional) |
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| Apr 10 | Lab 6: Feature Selection | |||
| Apr 12 | Discussion Day #1 | Readings | ||
| 10 | Apr 15 | Sequential Learning |
Discussion Day 1 Reflection (Due 4/22)
HW5: Experiments and Technical Writing (Due 5/10) Week 10 Reflection (Due 4/21) |
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| Apr 17 | Lab 7: Hyperparameter Search | |||
| Apr 19 | Recurrent Neural Networks (RNNs) | DL: Chp 10 intro, 10.2 | ||
| 11 | Apr 22 | Convolutional Neural Networks (CNNs) | DL: Chp 9 intro, 9.2, 9.10, 9.11 |
Week 11 Reflection (Due 4/28)
Anonymous Checkin Survey (Optional) |
| Apr 24 | Lab 8: CNNs | |||
| Apr 26 | Convolutional Neural Networks (CNNs) + Class Imbalance | DL: 9.3, 9.5, 9.7 | ||
| 12 | Apr 29 | Discussion Day #2 | Readings |
Discussion Day 2 Reflection (Due 5/6)
Final Reflection (Due 5/10, Ext. 5/14) |
| May 1 | Group Project Day | |||
| May 3 | Clustering |
ESL: 13.2.1
ISLR: 12.1, 12.4 |
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| 13 | May 6 | Reinforcement Learning | ML: 13.1-13.3 | |
| May 8 | Reinforcement Learning | TBD | ||
| May 10 | Wrap Up | |||
| Final Project Due Thursday May 16 at 11:00 AM |
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