Best Student Project
- Predictive Population Model By Eyad Magdy, A rising freshman (1st year) student.
- Before completing Programming I, He learned Python, and made a practical project.
- Before completing Calculus I, He learned partial derivatives and implemented the gradient descent algorithm, to train a linear model.
- He well explains the case-study motivation, population growth prediction, behind his algorithm and analytics.
- Github Source Code, Hugging Face Deployed Model
Materials
- Briggs, Cochran, Gillett & Schulz. Calculus for Scientists and Engineers, Early Transcendentals. Pearson.
- Kolman & Hill. Elementary Linear Algebra With Applications. Pearson.
- Rosen. Discrete Math and its Applications. McGraw Hill.
Downloading
- All notebooks can be downloaded from HERE.
Calculus 1
Calculus 2
Linear Algebra
Discrete Math
Week | Notebook |
---|---|
Week 00 | 0.1 - Intro.ipynb, 0.3 - Python & Colab.ipynb |
Week 01 | 1 - Intro to Logic.ipynb |
Week 02 | |
Week 03 | 3 - Logical Equivalence.ipynb |
Week 04 | |
Week 05 | 5 - Structures.ipynb |
Week 06 | |
Week 09 | 9 - Graphs, Algorithms, Recurrence.ipynb |
Week 10 | |
Week 11 | 11 - Recursive Algorithms.ipynb |
Week 12 | 12 - Project Progressive Hints.ipynb |
Week 13 | 13 - Project Graph Components by Recursion.ipynb |
Week 14 |