Semester-Notes

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A comprehensive, well-structured repository of B.Tech (Hons) CSE notes and learning resources, specializing in Artificial Intelligence and Data Science. Includes semester-wise notes, question papers, curated study guides, and indexed materials designed for efficient learning, revision, and academic reference.

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# Semester-Notes
A comprehensive, well-structured repository of B.Tech (Hons) CSE notes and learning resources, specializing in Artificial Intelligence and Data Science. Includes semester-wise notes, question papers, curated study guides, and indexed materials designed for efficient learning, revision, and academic reference.

> [!TIP]
> 🌐 Check the live, interactive Semester Notes: [Website](https://madhurimarawat.github.io/Semester-Notes/) 🚀

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> [!IMPORTANT]
> 🌟 Like these notes? Star ⭐ and share to help more students!

## 🌱 What this repository offers
- Semester-wise, subject-organized academic notes
- Question papers and curated study materials
- Structured content designed for quick revision and reference

---

## Table Of Contents 📔 🔖 📑
<details>
<summary>1 Semester</summary>

**Data Science and Artificial Intelligence Subjects:**

1. [Engineering Mathematics I](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Engineering-Mathematics-I) 
2. [Environmental Science](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Environmental-Science) 
3. [Foundations of Electronics Engineering](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Foundations-of-Electronics-Engineering) 
4. [Fundamentals of Computational Biology](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Fundamentals-of-Computational-Biology) 
5. [Language and Writing Skills](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Language-and-Writing-Skills) 
6. [Learning Programming Concepts With C](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Learning-Programming-Concepts-With-C)
 - To see lab programs, visit: [Learning Programming Concepts With C Lab](https://github.com/madhurimarawat/Learning-Programming-Concepts-With-C) 
7. [Professional Ethics and Life Skills](https://github.com/madhurimarawat/Semester-Notes/tree/main/1%20SEMESTER/Professional-Ethics-and-Life-Skills)

</details>

<details>
<summary>2 Semester</summary>

**Data Science and Artificial Intelligence Subjects:**

1. [Data Structure Using C](https://github.com/madhurimarawat/Semester-Notes/tree/main/2%20SEMESTER/Data-Structure-Using-C)
 - To see lab programs, visit: [Data Structure Using C Lab](https://github.com/madhurimarawat/Data-structure-using-C) 
2. [Digital Logic and Design](https://github.com/madhurimarawat/Semester-Notes/tree/main/2%20SEMESTER/Digital-Logic-and-Design) 
3. [Engineering Mathematics II](https://github.com/madhurimarawat/Semester-Notes/tree/main/2%20SEMESTER/Engineering-Mathematics-II) 
4. [Entrepreneurship](https://github.com/madhurimarawat/Semester-Notes/tree/main/2%20SEMESTER/Entrepreneurship) 
5. [Object-Oriented Programming](https://github.com/madhurimarawat/Semester-Notes/tree/main/2%20SEMESTER/Object-Oriented-Programming)
 - To see lab programs, visit: [Object-Oriented Programming with C++ Lab](https://github.com/madhurimarawat/Object-oriented-programming-with-c-plus-plus) 
6. [Python for Data Science](https://github.com/madhurimarawat/Semester-Notes/tree/main/2%20SEMESTER/Python-For-Datascience)
 - To see lab programs, visit: [Python for Data Science Lab](https://github.com/madhurimarawat/Python-for-Datascience)

</details>

<details>
<summary>3 Semester</summary>

**Data Science and Artificial Intelligence Subjects:**

1. [Analysis and Design of Algorithm](https://github.com/madhurimarawat/Semester-Notes/tree/main/3%20SEMESTER/Analysis-and-Design-of-Algorithm)
 - To see lab programs, visit: [Analysis and Design of Algorithm using Python Lab](https://github.com/madhurimarawat/Analysis-and-Design-of-Algorithm-using-python) 
2. [Computer Organization and Architecture](https://github.com/madhurimarawat/Semester-Notes/tree/main/3%20SEMESTER/Computer-Organization-and-Architecture) 
3. [Database Management System](https://github.com/madhurimarawat/Semester-Notes/tree/main/3%20SEMESTER/Database-Management-System) 
4. [Discrete Structure](https://github.com/madhurimarawat/Semester-Notes/tree/main/3%20SEMESTER/Discrete-Structure) 
5. [Independent Project](https://github.com/madhurimarawat/Semester-Notes/tree/main/3%20SEMESTER/Independent%20Project)
- To see the project, visit: [Library Management System](https://github.com/madhurimarawat/Library-Management-System) 
6. [Probability and Statistics](https://github.com/madhurimarawat/Semester-Notes/tree/main/3%20SEMESTER/Probability-and-Statistics)

</details>

<details>
<summary>4 Semester</summary>

**Data Science and Artificial Intelligence Subjects:**

1. [Artificial Intelligence Principles and Applications](https://github.com/madhurimarawat/Semester-Notes/tree/main/4%20SEMESTER/Artificial-Intelligence-Principles-and-Applications) 
2. [Computer Network](https://github.com/madhurimarawat/Semester-Notes/tree/main/4%20SEMESTER/Computer-Network) 
3. [Data Visualization](https://github.com/madhurimarawat/Semester-Notes/tree/main/4%20SEMESTER/Data-Visualization)
- To see lab programs, visit: [Data Visualization using Python Lab](https://github.com/madhurimarawat/Data-Visualization-using-python) 
4. [Operating System](https://github.com/madhurimarawat/Semester-Notes/tree/main/4%20SEMESTER/Operating-System) 
5. [R for Data Science](https://github.com/madhurimarawat/Semester-Notes/tree/main/4%20SEMESTER/R-for-Datascience)
- To see lab programs, visit: [R for Data Science Lab](https://github.com/madhurimarawat/R-for-Datascience) 
6. [Theory of Computation](https://github.com/madhurimarawat/Semester-Notes/tree/main/4%20SEMESTER/Theory-of-Computation)

</details>

<details>
<summary>5 Semester</summary>

**Data Science Subjects:**

1. [Computational Complexity](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/Computational-Complexity) 
2. [Cryptography and Network Security](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/Cryptography-and-Network-Security)
- To see lab programs, visit: [Cryptography and Network Security Lab](https://github.com/madhurimarawat/Cryptography-and-Network-Security) 
3. [Intelligent Data Analysis](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/Intelligent-Data-Analysis)
 - To see lab programs, visit: [Intelligent Data Analysis Lab](https://github.com/madhurimarawat/Intelligent-Data-Analysis) 
4. [Natural Language Processing](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/Natural-Language-Processing)
- To see lab programs, visit: [Natural Language Processing in Python Lab](https://github.com/madhurimarawat/Natural-Language-Processing-in-Python) 
5. [Pattern Recognition and Machine Learning](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/Pattern-Recognition-and-Machine-Learning)
- To see lab programs, visit: [Pattern Recognition and Machine Learning Lab](https://github.com/madhurimarawat/Pattern-Recognition-and-Machine-Learning) 
6. [Vocational Training](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/Vocational-Training)
- To see the lab project, visit: [Vocational Training Project](https://github.com/madhurimarawat/Final-Internship-Project) 
7. [Minor Project](https://github.com/madhurimarawat/CSVTU-GPT/tree/main/Documents)
- To see the lab project, visit: [Stock Market Prediction app](https://csvtu-gpt-question-answer.streamlit.app/).

**Artificial Intelligence Subjects:**
1. [Artificial Neural Networks](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/AI%20Subjects/Artificial%20Neural%20Networks) 
2. [Predictive Modelling and Analytics](https://github.com/madhurimarawat/Semester-Notes/tree/main/5%20SEMESTER/AI%20Subjects/Predictive%20Modelling%20and%20Analytics)

</details>

<details>
<summary>6 Semester</summary> 
 
- **Presentation**:
 - `Update_Presentation.pptx`: Presentation for the first two months.
 - `Final_Presentation.pptx`: Final presentation of the project.
- **Internship Report**:
 - `Final_Report.pdf`: Detailed report of the project work, methodologies, results, and conclusions.
</details>

<details>
<summary>7 Semester</summary>

**Data Science Subjects:**

1. [**Algorithmic Gaming Theory**](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/Algorithmic%20Gaming%20Theory) 
2. [**Big Data Analytics**](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/Big%20Data%20Analytics)
- To see lab programs, visit: [Big Data Analytics Lab](https://github.com/madhurimarawat/Big-Data-Analytics) 
3. [**Data Wrangling**](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/Data%20Wrangling)
- To see lab programs, visit: [Data Wrangling Lab](https://github.com/madhurimarawat/Data-Wrangling) 
4. [**Image Processing**](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/Image%20Processing) 
5. [**Management Information System**](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/Management%20Information%20System) 
6. [**Software Engineering**](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/Software%20Engineering)
- To see lab programs, visit: [Software Engineering Lab](https://github.com/madhurimarawat/Software-Engineering) 
7. [Minor Project](https://github.com/madhurimarawat/Stock-Market-Prediction/tree/main/Documents)
- To see the lab project, visit: [Stock Market Prediction App](https://stock-market-numerical-text-hybrid-prediction.streamlit.app/).

**Artificial Intelligence Subjects:**
1. [Business Intelligence and Analytics](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/AI%20Subjects/Business%20Intelligence%20and%20Analytics) 
2. [Intelligent System and Robotics](https://github.com/madhurimarawat/Semester-Notes/tree/main/7%20SEMESTER/AI%20Subjects/Intelligen%20%20System%20and%20Robotics)

</details>

<details>
<summary>8 Semester</summary>

**Data Science Subjects:**

1. [**Cloud Computing**](https://github.com/madhurimarawat/Semester-Notes/tree/main/8%20SEMESTER/Cloud%20Computing) 
 - To see lab programs, visit: [Cloud Computing Lab](https://github.com/madhurimarawat/Cloud-Computing)

2. [**Data Warehousing**](https://github.com/madhurimarawat/Semester-Notes/tree/main/8%20SEMESTER/Data%20Warehousing) 
 - To see lab programs, visit: [Data Warehousing Lab](https://github.com/madhurimarawat/Data-Warehousing)

3. [**Artificial Intelligence for Investments**](https://github.com/madhurimarawat/Semester-Notes/tree/main/8%20SEMESTER/Artificial%20Intelligence%20for%20Investments)

4. [**High Performance Scientific Computing**](https://github.com/madhurimarawat/Semester-Notes/tree/main/8%20SEMESTER/High%20Performance%20Scientific%20Computing)

5. [**Major Project**](https://github.com/madhurimarawat/Stock-Market-Prediction/tree/main/Documents) 
 - To see the lab project, visit: [Stock Market Prediction App](https://stock-market-numerical-text-hybrid-prediction.streamlit.app/)

**Artificial Intelligence Subjects:**

1. [**Deep Learning**](https://github.com/madhurimarawat/Semester-Notes/tree/main/8%20SEMESTER/AI%20Subjects/Deep%20Learning)

</details>

<details>
 <summary>Syllabus</summary> 
 
 This section contains the syllabus for each semester:

- [Click here to view the syllabus](https://github.com/madhurimarawat/Semester-Notes/tree/main/Syllabus)
 - Detailed course outlines, including topics and subtopics.
 - List of recommended textbooks and reference materials.
 - Suggested reading materials to complement the coursework.
 - Key topics and learning objectives for each subject.
</details>

<details>
 <summary>Front Page & Index</summary> 
 
 This section contains the standardized front page and index format used in lab files for each semester. Below is the included format:

- [Click here to view the Front Page & Index](https://github.com/madhurimarawat/Semester-Notes/tree/main/tree/main/Front%20Page%20&%20Index)  
  - Naming conventions include details such as experiment names, dates, page numbers, and more for easy comprehension and navigation.

</details>

<details>
 <summary>Question Paper</summary> 
 
 This section contains the question papers for each semester:

- [Click here to view the Question Papers](https://github.com/madhurimarawat/Semester-Notes/tree/main/tree/main/Question%20Paper)
 - Organized by semester for easy navigation.
 - Includes Class Test 1, Class Test 2, and Annual Exams.
 - Contains Re-Class Tests, if applicable.
 - Each semester folder provides a comprehensive collection of exam papers.
 - Added "AI" or "DS" in file names to indicate the branch for which the question paper is intended. For subjects common across semesters 1 to 4, no such branch-specific tags were added.
</details>

<details>
 <summary>docs</summary> 
 
 This folder contains the code for this website:
 
 * 🏠 The `index.html` file functions as the main landing page of the website.
 * 🧭 The website features a clean, user-friendly layout with an intuitive interface that is easy to navigate.
 * 📱 The responsive design ensures the website displays correctly and performs well across all devices and screen sizes.
 * 🌈 A dropdown menu allows users to switch between seasonal color themes such as **Autumn**, **Summer**, **Rainy**, and **Winter**. Upon selection, the website’s primary color updates instantly, creating a visually engaging experience.
 * 💾 The selected theme is stored using **LocalStorage**, allowing it to persist across browser sessions. The previously chosen theme is automatically applied when the user returns to the site.
 * 🌓 A **Dark Mode** toggle has been added to enhance accessibility and visual comfort. Its state is also saved using **LocalStorage**, ensuring the preference remains active until manually changed.
 * 🔄 A **"Default"** theme option is available in the dropdown to revert the site’s appearance to its original color scheme.
 * 📚 A separate **Resources** dropdown in the navigation bar provides convenient access to reference materials and command guides for tools like **Git**, **Hadoop**, and **Astyle**, helping users learn and explore essential technologies.

</details>

### Data Science and Artificial Intelligence Subjects

During the **1st to 4th semesters**, both branches followed a **common curriculum**, ensuring a foundational understanding of core subjects.

From the **5th to 8th semesters**, the curriculum began to diversify:  
- **5th to 8th semesters:** Two subjects were tailored to individual tracks, reflecting specialized interests. I have detailed these differences above, along with separate **question papers** and **syllabi** for both branches (AI and DS).  
- **6th semester:** Focused entirely on an **internship**, where students selected their projects, institutions, and domains independently.

## Directory Structure 🗃️

```
Semester-Notes/
├── 1 SEMESTER/               # 📁 Folder for the first semester
│
├── 2 SEMESTER/               # 📁 Folder for the second semester
│
├── 3 SEMESTER/               # 📁 Folder for the third semester
│
├── 4 SEMESTER/               # 📁 Folder for the fourth semester
│
├── 5 SEMESTER/               # 📁 Folder for the fifth semester
│   ├── AI Subjects/          # 📁 AI Subjects folder inside 5th semester
│
├── 6 SEMESTER/               # 📁 Folder for the sixth semester
│
├── 7 SEMESTER/               # 📁 Folder for the seventh semester
│   ├── AI Subjects/          # 📁 AI Subjects folder inside 7th semester
│
├── 8 SEMESTER/               # 📁 Folder for the eighth semester
│   ├── AI Subjects/          # 📁 AI Subjects folder inside 8th semester
|
├── Syllabus/                 # 📚 Folder containing the syllabus for all semesters
│
├── Front Page & Index        # 📖 Contains the standardized front page format
|
└── Question Paper/           # 📝 Folder containing the question papers for all semesters
│
├── docs/                     # 🗂️ Folder containing website code
│   ├── index.html            # 🏠 Main landing page of the website
│   ├── Astyle-Commands.html  # ⚙️ Page dedicated to Astyle formatter commands
│   ├── Git-Commands.html     # 🛠️ Page dedicated to Git commands
│   ├── Hadoop-Commands.html  # 📊 Page dedicated to Hadoop commands
│   │
│   ├── css/
│   │   ├── index.css         # 🎨 Stylesheet for index.html
│   │   └── commands.css      # 🎨 Stylesheet for Astyle-Commands.html and Git-Commands.html and Hadoop-Commands.html
│   │   ├── index-dark.css    # 🌙 Dark theme for index.html
│   │   └── commands-dark.css # 🌙 Dark theme for command pages
│   │
│   ├── js/
│   │   ├── index.js          # 🖥️ Script to dynamically change the primary color of the website
│   │   └── commands.js       # 📜 Script manages theme and copy actions in command pages.
|   |
│   ├── website_snapshots/    # 🖼️ Contains all website screenshots and demo GIFs for documentation
│   
├── LICENSE                   # 📜 MIT License file
│
└── README.md                 # 📄 Documentation file for the repository
│
└── CONTRIBUTING.md           # 🤝 Guide for contributing to the repository
│
└── HOW_TO_USE.md             # 📘 Instructions for accessing and downloading the notes
```

---

## Website Design

This website showcases a comprehensive repository of semester notes and study resources. It features a dynamic, color-changing dropdown menu using JavaScript. The content is organized into detailed sections, covering semester-wise subjects and commonly used commands for Astyle, Git and Hadoop. Visit the website at: [Website Link](https://madhurimarawat.github.io/Semester-Notes/).

🅳🅰🆁🅺 🅼🅾🅳🅴 🌙🖤

---

## Thanks for Visiting 😄

- Drop a 🌟 if you find this repository useful. 
- If you have any doubts or suggestions, feel free to reach me. 
📫 How to reach me: &nbsp; [![Linkedin Badge](https://img.shields.io/badge/-madhurima-blue?style=flat&logo=Linkedin&logoColor=white)](https://www.linkedin.com/in/madhurima-rawat/) &nbsp; &nbsp;
<a href ="mailto:rawatmadhurima4@gmail.com"><img src="https://github.com/madhurimarawat/Machine-Learning-Using-Python/assets/105432776/b6a0873a-e961-42c0-8fbf-ab65828c961a" height=35 width=30 title="Mail Illustration" alt="Mail Illustration📫" > </a> 
- **Contribute and Discuss:** Feel free to open <a href= "https://github.com/madhurimarawat/Semester-Notes/issues">issues 🐛</a>, submit <a href = "https://github.com/madhurimarawat/Semester-Notes/pulls">pull requests 🛠️</a>, or start <a href = "https://github.com/madhurimarawat/Semester-Notes/discussions">discussions 💬</a> to help improve this repository!

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