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https://github.com/risdorn/iitm-bs-programming-and-data-science
This repository contains the notes and code I have created for practice during my IITM BS in Programming and Data Science course.
https://github.com/risdorn/iitm-bs-programming-and-data-science
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This repository contains the notes and code I have created for practice during my IITM BS in Programming and Data Science course.
- Host: GitHub
- URL: https://github.com/risdorn/iitm-bs-programming-and-data-science
- Owner: Risdorn
- Created: 2024-09-12T13:33:06.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-12-24T17:36:15.000Z (14 days ago)
- Last Synced: 2024-12-24T18:26:52.201Z (14 days ago)
- Topics: jupyter-notebook, latex, notes
- Language: Jupyter Notebook
- Homepage:
- Size: 32.6 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# IITM-BS-PROGRAMMING-AND-DATA-SCIENCE
This repository contains the notes and code I have created for practice during my IITM BS in Programming and Data Science course.
## Repository Structure
The repository is organized as follows:
.
├── Degree/
| ├── AI: SMPS/
| └── This course explores how intelligent agents solve problems.
| It starts with blind search and moves on to heuristic search,
| while also studying board games like Chess and Go, logical reasoning,
| and approaches to domain-independent planning to achieve goals.
| It concludes with constraint processing as an alternative to combining search and reasoning.
|
| ├── Corporate Finance/
|
| ├── Deep Learning/
| └── This course covers the basics of Neural Networks, including Convolutional Neural Networks
| and Recurrent Neural Networks. It also teaches how these models can be applied to
| solve problems in domains like Computer Vision, Speech, and NLP.
|
| ├── Managerial Economics/
|
| ├── Reinforcement Learning/
|
| ├── Software Testing/
| └── This course focuses on the phases of testing based on project requirements.
| It teaches how to formulate test requirements precisely, design and execute test cases,
| and apply specialized test case design techniques for specific application domains.
|
| ├── Software Engineering/
| └── This course teaches essential skills for becoming an effective software engineer,
| covering fundamental concepts such as requirement gathering, software design, debugging, testing,
| and deployment practices used in real-world development.
|
| ├── static/ # Contains images and other static resources used in the notes.
| ├── tex files for all notes # LaTeX files for all notes prepared during the courses.
├── head.tex # Main LaTeX header file used across all notes.
├── python-cheatsheets.pdf # A handy reference for Python concepts.
Each course folder contains its respective notes, codes, and additional resources related to the topics covered.
## Future Notes Schedule
Upcoming notes will include the following topics:
- Corporate Finance
- Managerial Economics
- Reinforcement Learning
Stay tuned for updates as I add notes for these subjects.
## Course Materials
The following playlists contain videos and lectures related to each course:
- **AI: SMPS**: [Playlist Link](https://www.youtube.com/playlist?list=PLZ2ps__7DhBZVxMrSkTIcG6zZBDKUXCnM)
- **Deep Learning**: [Playlist Link](https://www.youtube.com/playlist?list=PLZ2ps__7DhBZHM1OFsvzGrUGlBehlXd8w)
- **Software Engineering**: [Playlist Link](https://www.youtube.com/playlist?list=PLZ2ps__7DhBYt5yvXrYAjjWtf5O399Xea)
- **Software Testing**: [Playlist Link](https://www.youtube.com/playlist?list=PLZ2ps__7DhBai6Crbq3wSw5dG-Ro1CJvT)
> **Note**: All the images and notes in this repository are derived from the IITM course videos and slides.