CS97 Introduction to Data Science
Shichang Zhang, UCLA, Summer 2024
| Week | Date | Lecture (9:00 am – 11:50 am) | 1:00 pm – 4:00 pm | Deadlines |
| Week 1 | 6/24 | Introduction. Know Your Data | Discussion and Lab | Homework 0 out |
| 6/25 | Linear Regression | Discussion and Lab | |
| 6/26 | Regularization. Model Selection | Discussion and Lab | Homework 1 out |
| 6/27 | Logistic Regression | Discussion and Lab | |
| 6/28 | Classification Evaluation. KNN | Seminar, Discussion and Lab | Homework 1 due, Homework 2 out, Project: topic decided |
| Week 2 | 7/1 | SVM and Decision Tree | Discussion and Lab | Homework 2 due, Homework 3 out |
| 7/2 | Perceptron and NN | Discussion and Lab | |
| 7/3 | NN: DesignTrainingRegularization | Discussion and Lab | Homework 3 due, Homework 4 out |
| 7/4 | No class | No class | |
| 7/5 | Clustering and K-Means | Seminar, Discussion and Lab | Homework 4 due, Project: first idea implemented |
| Week 3 | 7/8 | Application: Health | Exam (90 minutes), Special Activity | |
| 7/9 | Application: Text | Discussion and Lab | |
| 7/10 | Application: Image | Discussion and Lab | |
| 7/11 | Application: Recommender Systems | Discussion and Lab | Project: completed & slides prepared |
| 7/12 | Project Presentation | Project Presentation, Closing |
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