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.
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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.
| Subject | Links |
|---|---|
| Data and Python Programming (Complete Notes) | View Download PDF |
This PDF contains Core Physics Semester–2 notes covering topics from Electricity, Electrostatics, and Vector Calculus. The material includes scalar and vector quantities, vector operations, gradient, divergence, curl, line and surface integrals, electric field, electric flux, Gauss’s law, dielectric materials, and polarization. Important formulas, derivations, and numerical concepts are explained in an easy and exam-oriented manner. The notes are useful for conceptual understanding, revision, and university exam preparation for BSc Physics students.
| Subject | Links | Shared By |
|---|---|---|
| Core Physics Semester–2 Notes (Unit1,2 only) | View Download PDF | Deepak Kumar(Kd83) |
How to Use These B.Sc. Physics Semester 2 Notes
- Start with scalar and vector fundamentals before moving to gradient, divergence, and curl.
- Memorise key vector identities and practise applying them in solved problems.
- Understand the derivation of Gauss's Law and its applications — it is a high-weightage topic.
- Practise numerical problems on electric field and electric flux for different charge distributions.
- Study dielectric polarization mechanisms with diagrams for better retention.
- Revise all important formulas and derivations before the exam for quick recall.