Course Structure Overview
The Bachelor of Computer Science program at Gyan Ganga College of Technology is meticulously structured over eight semesters, with each semester designed to build upon previously acquired knowledge and skills. The curriculum integrates foundational sciences, core engineering principles, and advanced specializations tailored to individual career aspirations.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | CS101 | Introduction to Programming | 3-0-0-3 | - |
| I | CS102 | Discrete Mathematics | 4-0-0-4 | - |
| I | CS103 | Physics for Engineers | 3-0-0-3 | - |
| I | CS104 | Chemistry for Engineers | 3-0-0-3 | - |
| I | CS105 | English for Technical Communication | 2-0-0-2 | - |
| I | CS106 | Introduction to Computer Science | 2-0-0-2 | - |
| II | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| II | CS202 | Object-Oriented Programming with Java | 3-0-0-3 | CS101 |
| II | CS203 | Computer Organization and Architecture | 3-0-0-3 | CS103 |
| II | CS204 | Database Systems | 3-0-0-3 | CS201 |
| II | CS205 | Linear Algebra and Calculus | 4-0-0-4 | - |
| III | CS301 | Operating Systems | 3-0-0-3 | CS201, CS202 |
| III | CS302 | Computer Networks | 3-0-0-3 | CS203 |
| III | CS303 | Software Engineering Principles | 3-0-0-3 | CS202 |
| III | CS304 | Probability and Statistics | 4-0-0-4 | CS205 |
| III | CS305 | Human-Computer Interaction | 3-0-0-3 | CS106 |
| IV | CS401 | Artificial Intelligence and Machine Learning | 3-0-0-3 | CS301, CS304 |
| IV | CS402 | Cybersecurity Fundamentals | 3-0-0-3 | CS302 |
| IV | CS403 | Web Development and Databases | 3-0-0-3 | CS204, CS202 |
| IV | CS404 | Mobile Application Development | 3-0-0-3 | CS202 |
| IV | CS405 | Data Mining and Big Data Analytics | 3-0-0-3 | CS304, CS301 |
| V | CS501 | Advanced Algorithms and Complexity | 3-0-0-3 | CS201 |
| V | CS502 | Distributed Systems | 3-0-0-3 | CS301, CS302 |
| V | CS503 | Cloud Computing and DevOps | 3-0-0-3 | CS301, CS302 |
| V | CS504 | Computer Vision and Image Processing | 3-0-0-3 | CS401, CS304 |
| V | CS505 | Internet of Things (IoT) and Embedded Systems | 3-0-0-3 | CS302, CS303 |
| VI | CS601 | Research Methodology and Thesis Writing | 2-0-0-2 | - |
| VI | CS602 | Special Topics in Computer Science | 3-0-0-3 | CS401, CS402 |
| VI | CS603 | Capstone Project - Phase I | 2-0-0-2 | - |
| VII | CS701 | Capstone Project - Phase II | 4-0-0-4 | CS603 |
| VII | CS702 | Advanced Cybersecurity Techniques | 3-0-0-3 | CS402 |
| VIII | CS801 | Final Thesis and Presentation | 4-0-0-4 | CS701 |
| VIII | CS802 | Internship/Co-op Training | 3-0-0-3 | - |
Advanced Departmental Electives
Departmental electives are offered to provide depth and specialization in various domains of computer science. These courses are designed to allow students to explore advanced topics based on their interests and career goals.
- Advanced Artificial Intelligence and Machine Learning: This course explores deep learning architectures, reinforcement learning, natural language processing, and computer vision techniques used in modern AI applications.
- Cybersecurity and Ethical Hacking: Students learn about network security, cryptography, penetration testing, and incident response strategies through hands-on labs and real-world simulations.
- Data Mining and Big Data Analytics: Focuses on extracting meaningful insights from large datasets using tools like Apache Spark, Hadoop, and Python-based analytics libraries.
- Software Testing and Quality Assurance: Covers software testing methodologies, automation frameworks, continuous integration pipelines, and quality metrics in agile development environments.
- Cloud Computing and DevOps: Explores cloud infrastructure management, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and infrastructure as code practices.
- Human-Computer Interaction and User Experience Design: Combines principles of psychology, design theory, and usability research to create intuitive interfaces for digital products.
- Internet of Things (IoT) and Embedded Systems: Teaches students how to build and program embedded systems for IoT applications using microcontrollers and wireless communication protocols.
- Game Development and Interactive Media: Provides a comprehensive overview of game design, 3D modeling, animation, physics engines, and game engine architecture using Unity and Unreal Engine.
- Quantitative Finance and Algorithmic Trading: Introduces students to financial markets, derivatives pricing models, risk management, and algorithmic trading strategies using Python and R.
- Distributed Systems and Microservices Architecture: Focuses on designing scalable distributed systems, service-oriented architectures, and implementing microservices using modern frameworks like Spring Boot and Node.js.
Project-Based Learning Philosophy
Our department emphasizes project-based learning as a core component of the educational experience. Students begin working on small-scale projects from their first semester to develop practical skills and apply theoretical concepts in real-world scenarios.
Mini-projects are assigned during the second and third years, allowing students to explore specific areas within computer science under faculty guidance. These projects are typically completed in groups of 2-4 students and involve research, design, implementation, and documentation phases.
The final-year thesis/capstone project is a significant undertaking that spans two semesters. Students select a topic related to their specialization area and work closely with a faculty mentor to conduct original research or develop an innovative solution. The evaluation criteria include the novelty of the approach, technical depth, presentation quality, and overall contribution to the field.
Students have access to dedicated project spaces within the labs, along with resources such as cloud computing credits, software licenses, and mentorship from senior researchers and industry professionals.