Curriculum Overview
The Computer Science curriculum at Mahakaushal University Jabalpur is meticulously designed to provide a comprehensive understanding of both theoretical and practical aspects of computing. The program spans eight semesters, with each semester comprising core subjects, departmental electives, science electives, and laboratory sessions. This structured approach ensures that students develop strong foundational knowledge while also exploring specialized areas of interest.
Semester-wise Course Structure
| SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PRE-REQUISITES |
|---|---|---|---|---|
| I | CS101 | Programming in C | 3-0-0-2 | None |
| I | CS102 | Mathematics I | 4-0-0-2 | None |
| I | CS103 | Physics for Computer Science | 3-0-0-2 | None |
| I | CS104 | Chemistry for Engineers | 3-0-0-2 | None |
| I | CS105 | English Communication Skills | 3-0-0-2 | None |
| I | CS106 | Introduction to Computing | 3-0-0-2 | None |
| II | CS201 | Data Structures and Algorithms | 4-0-0-3 | CS101 |
| II | CS202 | Mathematics II | 4-0-0-2 | CS102 |
| II | CS203 | Electrical and Electronic Circuits | 3-0-0-2 | CS103 |
| II | CS204 | Computer Organization and Architecture | 3-0-0-2 | CS106 |
| II | CS205 | Object-Oriented Programming with Java | 4-0-0-3 | CS101 |
| III | CS301 | Database Management Systems | 3-0-0-2 | CS201 |
| III | CS302 | Operating Systems | 3-0-0-2 | CS204 |
| III | CS303 | Computer Networks | 3-0-0-2 | CS204 |
| III | CS304 | Software Engineering | 3-0-0-2 | CS205 |
| III | CS305 | Mathematics III | 4-0-0-2 | CS202 |
| IV | CS401 | Design and Analysis of Algorithms | 3-0-0-2 | CS301 |
| IV | CS402 | Artificial Intelligence | 3-0-0-2 | CS301 |
| IV | CS403 | Cybersecurity Fundamentals | 3-0-0-2 | CS303 |
| IV | CS404 | Data Mining and Machine Learning | 3-0-0-2 | CS301 |
| IV | CS405 | Mathematics IV | 4-0-0-2 | CS305 |
| V | CS501 | Cloud Computing | 3-0-0-2 | CS302 |
| V | CS502 | Internet of Things (IoT) | 3-0-0-2 | CS304 |
| V | CS503 | Blockchain Technology | 3-0-0-2 | CS303 |
| V | CS504 | User Interface Design | 3-0-0-2 | CS205 |
| V | CS505 | Project Management | 3-0-0-2 | CS304 |
| VI | CS601 | Advanced Topics in AI | 3-0-0-2 | CS402 |
| VI | CS602 | Network Security | 3-0-0-2 | CS403 |
| VI | CS603 | Big Data Analytics | 3-0-0-2 | CS404 |
| VI | CS604 | Mobile Application Development | 3-0-0-2 | CS502 |
| VI | CS605 | Research Methodology | 3-0-0-2 | CS405 |
| VII | CS701 | Capstone Project I | 6-0-0-0 | CS601 |
| VIII | CS801 | Capstone Project II | 6-0-0-0 | CS701 |
Advanced Departmental Electives
Departmental electives are offered in the later semesters to allow students to explore specialized areas based on their interests and career aspirations. Below are detailed descriptions of selected advanced elective courses:
Deep Learning with TensorFlow
This course delves into the principles and applications of deep learning using popular frameworks like TensorFlow and Keras. Students will learn about neural network architectures such as CNNs, RNNs, LSTMs, and Transformers, along with techniques for training and optimizing these models. Hands-on labs include image classification, natural language processing tasks, and generative modeling projects.
Cloud Computing and DevOps
Students will gain an understanding of cloud computing platforms like AWS, Azure, and GCP, along with concepts in containerization using Docker and orchestration via Kubernetes. The course includes hands-on experience in deploying scalable applications, implementing CI/CD pipelines, and managing infrastructure as code (IaC) tools.
Blockchain Fundamentals
This elective introduces students to blockchain technology, cryptographic protocols, smart contracts, and decentralized applications (dApps). Through practical labs, students will explore consensus mechanisms, Ethereum development using Solidity, and the integration of blockchain with existing systems.
Cybersecurity Management
Students will study risk assessment methodologies, incident response procedures, and compliance frameworks relevant to enterprise cybersecurity. The course covers topics such as penetration testing, vulnerability management, and governance models that ensure secure digital environments.
Data Visualization & Storytelling
This course teaches students how to effectively communicate data insights through interactive dashboards, infographics, and visual analytics tools. Using platforms like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn, students will learn to create compelling narratives from complex datasets.
Project-Based Learning Approach
Mahakaushal University Jabalpur emphasizes project-based learning throughout the Computer Science program. This pedagogical approach encourages students to apply theoretical knowledge in real-world scenarios, fostering creativity, critical thinking, and problem-solving skills.
Mini Projects (Semester III & IV)
Students undertake mini projects during their third and fourth semesters. These projects are designed to reinforce concepts learned in core courses and encourage teamwork. Each project is supervised by a faculty mentor and must be completed within a fixed timeframe, typically two months.
Final-Year Thesis/Capstone Project (Semester VII & VIII)
The capstone project forms the culmination of the undergraduate experience. Students choose a topic relevant to their area of specialization and work closely with a faculty advisor to conduct original research or develop an innovative solution. Projects are evaluated based on technical depth, innovation, presentation quality, and peer review.
Project Selection Process
Students select their capstone projects from a list of faculty-recommended topics or propose their own ideas. The selection process involves submission of a project proposal, followed by an evaluation by the departmental committee. Once approved, students are assigned mentors based on their interests and expertise.