The tentative schedule is given below. Homework assignments are given on the last slide of each slide stack. The assignments will be graded during the Tuesday evening demo sessions at EECS 328. Late submissions within a week lead to 50% penalty. Submissions after 1 week will not be graded.
| Week | Tuesdays 1:20-2:10 |
Fridays 1:20-3:10 |
Assignments |
| 1: Sep 11 |
Introduction PDF | Holidays (No Lecture) | |
| 2: Sep 18 |
Latex 1: Latex Basics PDF | Latex 2: Document Structure and Math PDF | Latex 1 PDF |
| 3: Sep 25 |
Latex 2: Document Structure and Math PDF | SageMath 1: Using SageMath PDF | |
| 4: Oct 2 |
Conference Travel (No Lecture) | Conference Travel (No Lecture) | Latex 2 PDF |
| 5: Oct 9 |
SageMath 2: Number Theory and RSA Cryptosystem PDF | SageMath 2: Number Theory and RSA Cryptosystem PDF | SageMath 1 PDF |
| 6: Oct 16 |
Conference Travel (No Lecture) | Midterm Exam 1 (Latex) | |
| 7: Oct 23 |
SageMath 3: Calculus PDF | SageMath 3: Calculus PDF | |
| 8: Oct 30 |
Matlab 1: User Interface PDF | Matlab 1: User Interface PDF | SageMath 2 PDF |
| 9: Nov 6 |
Matlab 2: 2D and 3D Graph PDF | Matlab 2: 2D and 3D Graph PDF | SageMath 3 PDF |
| 10: Nov 13 |
Matlab 3: More Graph, Animation, and GUI PDF | Midterm Exam 2 (SageMath) | Matlab 1 PDF |
| 11: Nov 20 |
Matlab 4: Matrix PDF | Matlab 4: Matrix PDF | |
| 12: Nov 27 |
Matlab 4: Matrix PDF |
Matlab 5: K-Means Clustering PDF Matlab 6: Introduction to Pattern Recognition PDF |
Matlab 2 PDF |
| 13: Dec 4 | Conference Travel (No Lecture) |
Matlab 7: Commonly Used Datasets for Pattern Recognition PDF Matlab 8: K-Nearest Neighbor Classifier PDF |
Matlab 3 PDF, 4 PDF(Tuesday) |
| 14: Dec 11 |
Matlab 9: Maximum Likelihood Estimate PDF |
Matlab 10: Quadratic Classifiers PDF Matlab 11: Naive Bayes Classifiers PDF |
Matlab 5 PDF (Tuesday); Matlab 6 PDF + 7 PDF (Friday) |
|
15: Dec 18 |
Matlab 12: Performance Evaluation of Classifiers PDF | Matlab 13: Data Fitting and Regression Analysis PDF | Matlab 8 PDF + 9 PDF + 10 PDF (Friday) |
|
16: Dec 25 |
Matlab 14: Matrix Formulas PDF Evening: Final Exam I (Matlab 1- 8) |
Matlab 15: Audio Processing PDF | Matlab 11 PDF (Friday) |
|
17: Jan 1 |
Review Session and Grade Adjustment | Guest Lecture on Ray Tracing, Apollo Ellis, University of Illinois | Matlab 12 PDF (Tuesday), Matlab 13 PDF (Friday) |
|
18: Jan 8 |
No Lecture Evening: Final Exam II (Matlab 9 and beyond) |
