CSSE 386 Winter 2024-2025 Schedule
Worksheets (scans) are due the same day by 11:59pm, Labs and HWK are due on Mondays
| Session | Topics | Materials | What's Due | Extra | |
|---|---|---|---|---|---|
| Week 1 | Mon, Dec 2 | Introduction to Data Science | 1.1, 1.2, 1.4 | Worksheet 01 |
Slides |
| Tue, Dec 3 | Python for Data Science: Jupyter Notebooks & Data Frames | Code Practice | Worksheet 02 |
Slides |
|
| Thu, Dec 5 | Colab Demo | Colab Practice | Quiz 01 |
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| Fri, Dec 6 | Individual Coding Lab | Complete Lab01 Pandas |
Lab 01 |
Due Monday 12/09 |
|
| Week 2 | Mon, Dec 9 | Exploratory Data Analysis | 6.1–6.3 Select 2 graphsMatplotlib |
Worksheet 03 |
Slides Color Blindness Simulator Color Brewer Simulator |
| Tue, Dec 10 | Missing Data Analysis | Missing Data Practice Dataset |
Worksheet 04 |
Slides | |
| Thu, Dec 12 (no class meeting) | Matplotlib Demo |
Matplotlib Practice Dataset Link |
Quiz 02 |
MatplotLib Cheatsheet |
|
| Fri, Dec 13 | Individual Coding Lab | Complete Lab02 Dataset: penguins |
Lab 02 |
Due on Monday |
|
| Week 3 | Mon, Dec 16 | Pivot Tables, Feature Scaling | Min-Max Technique Scaling Technique Datasets Hub |
Worksheet 05 |
Slides |
| Tue, Dec 17 | Data Mining Techniques | Techniques Summary | Worksheet 06 |
Slides |
|
| Thu, Dec 19 | In-Class Demo |
Dataset Coding Practice |
Quiz 03 |
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| Fri, Dec 20 | Individual Coding Lab | Lab 03 | Due on Monday Jan 6 | ||
| Holiday Break | |||||
| Week 4 | Mon, Jan 6 | Simple Linear Regression | Self-paced (no attendance required). Submit Worksheet 07 | Worksheet 07 |
Slides |
| Tue, Jan 7 | Logistic Regression and ROC | Self-paced (no attendance required) | Worksheet 08 |
Slides |
|
| Thu, Jan 9 | Scikit-learn Models | Regression Coding Practice |
Self-paced (no attendance required/no worksheet). This practice will prepare you for the Lab04 and HWK01 | ||
| Fri, Jan 10 | Individual Coding Lab | Complete Lab 04 | Lab 04 | Due on Monday Jan 13 | |
| Week 5 | Mon, Jan 13 | Classification models | Meeting Virtually (Link will be sent) | Worksheet 09 |
Slides (Overfitting) Slides (Classification) |
| Tue, Jan 14 | Naive Bayes | Review in Class | Worksheet 10 |
Slides | |
| Thu, Jan 16 | SVM, Cross-validation, Confusion matrix | Exam Review | Worksheet 11 |
Slides(Confusion Matrix) Slides(SVM) Slides(KNN) | |
| Fri, Jan 17 | Individual Coding Lab | Complete Lab 05 | Lab 05 | Due on Monday Jan 20 | |
| Week 6 | Mon, Jan 20 | MLK Day | |||
| Tue, Jan 21 | Exam 1 (Gradescope) No In-Class Meeting Timed Exam (50min) | Homework 1 | HWK1 Due on Monday 01/27 | ||
| Thu, Jan 23 | NCAA Competition, Group Assigning | ||||
| Fri, Jan 24 | Kaggle Introduction | Milestone 1 |
Due on Monday 01/27 |
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| Week 7 | Mon, Jan 27 | Dimensionality Reduction: PCA | PCA Practice | Worksheet 12 |
Slides |
| Tue, Jan 28 | Dimensionality Reduction: LDA | Worksheet 13 |
Practice 1 PCA Iris Data Practice 2: Comparison PCA and LDA |
Slides | |
| Thu, Jan 30 | Preps for Kaggle competition Each group must complete Kaggle training course |
(Individual or team work) | Link to Kaggle Training | No meeting in Class Self-paced (no attendance required) | |
| Fri, Jan 31 | Kick-Off Competition | In-person or virtual (required per team) 9am-2pm |
Submit Kaggle Training by Mon Feb 3 | ||
| Week 8 | Mon, Feb 3 | Recommendation Systems | Worksheet 14 |
Slides |
|
| Tue, Feb 4 | Recommendation Systems | KNN recommendation Various Rec System practice |
Worksheet 15 |
Slides | |
| Thu, Feb 6 | In-Class Quiz |
Preps for Milestone 2 |
Quiz 04 |
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| Fri, Feb 7 | Individual Coding Lab | Complete Lab 06 | Lab 06 | Due on Monday Feb 10 | |
| Week 9 | Mon, Feb 10 | Using DL Models | Sample Prediction using Churn Data Dataset Churn data Notebook Practice: See notebooks |
Worksheet 16 |
Slides |
| Tue, Feb 11 | Working on Milestone 2 | Milestone 2 CheckList |
Survey |
||
| Thu, Feb 13 | (Meeting online) | Exam Review |
Attend virtually Sports Analytics Sports Analytics Townhall | ||
| Fri, Feb 14 | Team work | Milestone 2 |
Homework 2 |
HMW2 due 02/23 | |
| Week 10 | Mon, Feb 17 | Exam 2 (Gradescope) No In-Class Meeting Timed Exam (50min) |
Exam starts at 10am and 11am for each section |
Milestone 2 Due on Monday 02/17 | |
| Tue, Feb 18 | Work on Kaggle Competition | Meeting in Class | |||
| Thu, Feb 20 | Work on Kaggle Competition | No Meeting in Class | |||
| Fri, Feb 21 | Work on Kaggle Competition | No Meeting in Class | |||
| Finals Week | Mon, Feb 24 | Submit Kaggle Competition and Video | Milestone 3 Video (gradescope) Code (Kaggle) |
HMW2 due 02/23 Milestone 3 Due on Monday, 02/24 | |