BSc Computer Science Notes & Solved Papers 2025 – Gurugram University (GU) & MDU
Download comprehensive BSc Computer Science notes and solved papers for 2025. Study materials include Data Basics, Big Data, Python Programming, NumPy, Pandas, Data Structures, and Data Visualization (Matplotlib, Seaborn, Plotly). Access previous year question papers, important topics, and free PDF resources for effective exam preparation and revision.
BSc Computer Science notes and solved question papers for Gurugram University (GU) and MDU are designed to help students prepare effectively for semester examinations. These notes follow the latest syllabus and cover important topics such as Data Basics, Types of Data, Data Evaluation, Big Data concepts, and Python Programming fundamentals.
The study material also includes Python Data Structures like Lists, Tuples, Arrays, Dictionaries, Sets, and Strings, along with advanced libraries such as NumPy and Pandas for data analysis. Data Visualization tools like Matplotlib, Seaborn, and Plotly are also covered for better understanding of graphical representation.
Below you will find subject-wise BSc Computer Science notes, solved papers, and revision PDFs. All resources are free to download and useful for both exam preparation and last-minute revision.
This PDF serves as a comprehensive study resource for BSc Computer Science Semester 2, covering fundamental to intermediate concepts in data and Python programming. It provides a structured understanding of data basics, types of data, data evaluation, data sources, and Big Data concepts including the 5 V’s (Volume, Velocity, Variety, Veracity, Value). The document also introduces core Python programming concepts, including the execution environment, statements, expressions, control flow, functions, and variable scope, along with essential data structures such as lists, tuples, arrays, dictionaries, sets, and strings. In addition, it explores powerful libraries like NumPy and Pandas for data analysis and manipulation, and covers data visualization tools including Matplotlib, Seaborn, Plotly, and Dash, enabling learners to create meaningful graphical representations such as line charts, bar graphs, pie charts, and histograms. Overall, this material provides a solid foundation in data handling, programming, data analysis, and visualization, making it highly valuable for academic preparation as well as practical applications in computer science.
| Subject | Links |
|---|---|
| Data and Python Programming (Complete Notes) | View Download PDF | <
How to Use These B.Sc. Minor Computer Science Notes
- Understand data basics and the 5 V’s of Big Data thoroughly.
- Practice Python control flow, functions, and data structures regularly.
- Focus on NumPy and Pandas for data analysis tasks.
- Learn to create charts using Matplotlib, Seaborn, and Plotly.
- Implement the given examples in Python for better retention.
FAQs – B.Sc. Minor Computer Science Notes (Gurugram University)
How to download B.Sc. Minor Computer Science notes?
Click the "Download PDF" button in the table above to get the complete notes.
What topics are covered in these notes?
Data fundamentals, Big Data (5V’s), Python programming, data structures, NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Dash for visualization.
Are these notes according to Gurugram University syllabus?
Yes, these notes are aligned with the Minor Computer Science syllabus under B.Sc. programme of Gurugram University (GU).
Can I upload my own notes?
Yes, you can contribute your notes via the Upload Notes page and get credited.