CSE Course Assignment's Problem Solving With Python

I will push all the problems and solutions of my university's Assignments Here. [BracU]

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📚 Course Structure

[ CSE-110 ] - Programming Language I

Introduction to programming using Python. Contains 7 assignments covering fundamental programming concepts.

• Content: Jupyter notebooks with assignment solutions (Assignment 1-7)
• Topics: Basic Python programming, control structures, functions, data structures

[ CSE-111 ] - Programming Language II

Advanced programming concepts and object-oriented programming.

• Content: 8 assignments with PDF questions and Jupyter notebook solutions
• Topics: OOP concepts, classes, inheritance, polymorphism, file handling

[ CSE-220 ] - Data Structures

Fundamental data structures and their implementations.

• Content: 7 lab assignments with questions and Python implementations
• Topics: Arrays, Linked Lists, Stacks, Queues, Trees, Binary Trees, Recursion, Parenthesis Balancing
• Files: Question PDFs and Jupyter notebook solutions

[ CSE-221 ] [Summer2023] - Algorithms

Algorithm design and analysis.

• Content: 8 lab assignments
• Semester: Summer 2023
• Topics: Sorting, Searching, Graph Algorithms, Dynamic Programming, Greedy Algorithms

[ CSE-330 ] [Spring2024] - Numerical Methods

Numerical techniques for solving mathematical problems.

• Content: 4 lab assignments with theory and solutions
• Semester: Spring 2024
• Topics:
  • Polynomial Interpolation
  • Lagrange Interpolation
  • Hermite and Newton's Divided Difference Interpolation
  • Differentiation and Richardson Extrapolation
• Files: Theory PDFs and Jupyter notebook implementations

[ CSE-370 ] [Fall2023] - Database Systems

Database design, SQL, and database management.

• Content: 3 lab assignments with SQL scripts
• Semester: Fall 2023
• Topics: SQL queries, Database design, Relational algebra
• Files: Question PDFs, Lab slides, SQL scripts, and solution PDFs

[ MAT-120_LAB ] - Mathematics Laboratory

Mathematical computing and analysis using Python.

• Content: 4 lab assignments
• Topics: Mathematical computations, numerical analysis, data visualization

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📂 Repository Organization

Each course folder contains:

• [Question] files - Problem statements and requirements
• [SOLVED] files - Complete solutions and implementations
• [Theory] files - Theoretical concepts and documentation (where applicable)
• [Slides] files - Lab presentation materials (where applicable)

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🛠️ Technologies Used

• Python - Primary programming language
• Jupyter Notebook - Interactive development environment
• SQL - Database queries and management

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📝 Note

All assignments are completed as part of the Computer Science and Engineering curriculum at BRAC University.