Comprehensive Course Structure
The Bachelor of Technology program at Gyan Ganga College of Technology is meticulously structured across eight semesters, ensuring a seamless progression from foundational concepts to advanced specializations. Each semester is designed with a balance between core engineering subjects, departmental electives, science electives, and laboratory sessions that reinforce theoretical knowledge through practical application.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | MA101 | Mathematics I | 3-1-0-4 | None |
| I | PH101 | Physics I | 3-1-0-4 | None |
| I | CH101 | Chemistry I | 3-1-0-4 | None |
| I | EC101 | Engineering Graphics | 2-0-2-3 | None |
| I | CS101 | Introduction to Programming | 2-0-2-3 | None |
| I | ME101 | Engineering Mechanics | 3-1-0-4 | None |
| I | EE101 | Basic Electrical Engineering | 3-1-0-4 | None |
| I | HS101 | English for Engineers | 2-0-0-2 | None |
| II | MA102 | Mathematics II | 3-1-0-4 | MA101 |
| II | PH102 | Physics II | 3-1-0-4 | PH101 |
| II | CH102 | Chemistry II | 3-1-0-4 | CH101 |
| II | CS102 | Data Structures and Algorithms | 3-0-2-5 | CS101 |
| II | ME102 | Mechanics of Materials | 3-1-0-4 | ME101 |
| II | EE102 | Electrical Circuits and Networks | 3-1-0-4 | EE101 |
| II | HS102 | Communication Skills | 2-0-0-2 | HS101 |
| III | MA201 | Mathematics III | 3-1-0-4 | MA102 |
| III | PH201 | Physics III | 3-1-0-4 | PH102 |
| III | CH201 | Chemistry III | 3-1-0-4 | CH102 |
| III | CS201 | Database Management Systems | 3-0-2-5 | CS102 |
| III | ME201 | Thermodynamics | 3-1-0-4 | ME102 |
| III | EE201 | Electromagnetic Fields and Waves | 3-1-0-4 | EE102 |
| III | HS201 | Professional Ethics | 2-0-0-2 | HS102 |
| IV | MA202 | Mathematics IV | 3-1-0-4 | MA201 |
| IV | PH202 | Physics IV | 3-1-0-4 | PH201 |
| IV | CH202 | Chemistry IV | 3-1-0-4 | CH201 |
| IV | CS202 | Operating Systems | 3-0-2-5 | CS201 |
| IV | ME202 | Fluid Mechanics | 3-1-0-4 | ME201 |
| IV | EE202 | Signals and Systems | 3-1-0-4 | EE201 |
| IV | HS202 | Leadership Development | 2-0-0-2 | HS201 |
| V | CS301 | Machine Learning | 3-0-2-5 | CS202 |
| V | ME301 | Design of Machine Elements | 3-1-0-4 | ME202 |
| V | EE301 | Power Electronics | 3-1-0-4 | EE202 |
| V | HS301 | Cultural Studies | 2-0-0-2 | HS202 |
| V | CS302 | Web Technologies | 3-0-2-5 | CS202 |
| V | ME302 | Manufacturing Processes | 3-1-0-4 | ME301 |
| V | EE302 | Control Systems | 3-1-0-4 | EE301 |
| VI | CS401 | Computer Vision | 3-0-2-5 | CS301 |
| VI | ME401 | Advanced Thermodynamics | 3-1-0-4 | ME301 |
| VI | EE401 | Digital Signal Processing | 3-1-0-4 | EE302 |
| VI | HS401 | Global Challenges | 2-0-0-2 | HS301 |
| VI | CS402 | Artificial Intelligence | 3-0-2-5 | CS401 |
| VI | ME402 | Renewable Energy Systems | 3-1-0-4 | ME401 |
| VI | EE402 | Embedded Systems | 3-1-0-4 | EE401 |
| VII | CS501 | Research Methodology | 2-0-0-2 | CS402 |
| VII | ME501 | Advanced Manufacturing Techniques | 3-1-0-4 | ME402 |
| VII | EE501 | Microprocessors and Microcontrollers | 3-1-0-4 | EE402 |
| VII | HS501 | Entrepreneurship Development | 2-0-0-2 | HS401 |
| VIII | CS601 | Capstone Project | 4-0-0-4 | CS501 |
| VIII | ME601 | Capstone Project | 4-0-0-4 | ME501 |
| VIII | EE601 | Capstone Project | 4-0-0-4 | EE501 |
Detailed Departmental Elective Courses
The department offers a rich variety of advanced elective courses that allow students to specialize in areas of personal interest and career relevance. These courses are taught by leading faculty members who are actively involved in research and industry collaboration.
Machine Learning
This course provides an in-depth understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques. Students learn to implement these models using Python libraries like scikit-learn, TensorFlow, and PyTorch. The curriculum covers topics such as neural networks, decision trees, clustering algorithms, natural language processing, and computer vision.
Computer Vision
Designed for students interested in image and video processing, this course introduces fundamental concepts of computer vision, including feature detection, object recognition, image segmentation, and deep learning approaches. Practical applications include autonomous vehicles, medical imaging, and augmented reality systems.
Web Technologies
This elective focuses on modern web development practices, covering HTML/CSS, JavaScript frameworks (React, Angular), backend technologies (Node.js, Django), database integration, and RESTful APIs. Students build full-stack applications that demonstrate real-world functionality and scalability.
Artificial Intelligence
As a continuation of machine learning, this course explores advanced AI topics such as expert systems, genetic algorithms, fuzzy logic, and neural network architectures. Students develop intelligent agents capable of reasoning, planning, and problem-solving in complex environments.
Database Management Systems
This course covers relational database design, SQL queries, transaction processing, indexing strategies, and normalization principles. Students gain hands-on experience with MySQL, PostgreSQL, and MongoDB, learning to optimize performance and ensure data integrity.
Operating Systems
Students explore the architecture and functioning of modern operating systems, covering process management, memory allocation, file systems, security mechanisms, and concurrency control. The course includes lab sessions where students experiment with system-level programming using C/C++.
Power Electronics
This elective delves into power conversion circuits, DC-DC converters, AC-DC rectifiers, inverters, and motor drives. Students study semiconductor devices like thyristors, IGBTs, and MOSFETs, understanding their behavior in high-power applications such as electric vehicles and renewable energy systems.
Digital Signal Processing
Focusing on digital signal processing fundamentals, this course teaches sampling theory, Fourier transforms, filter design, and spectral analysis. Applications include audio processing, biomedical signal analysis, and telecommunications networks.
Control Systems
This course introduces classical control theory, transfer functions, block diagrams, root locus methods, and state-space representation. Students learn to analyze stability, transient response, and steady-state error in control systems using MATLAB/Simulink.
Embedded Systems
Students are introduced to microcontroller architectures, real-time operating systems, hardware-software co-design, and IoT applications. The course emphasizes practical implementation through lab projects involving Arduino, Raspberry Pi, and ARM Cortex-M processors.
Project-Based Learning Philosophy
Gyan Ganga College of Technology places great emphasis on project-based learning as a core component of the educational experience. This approach encourages students to apply theoretical knowledge to solve real-world problems, fostering critical thinking, teamwork, and innovation.
Mini-Projects Structure
Throughout the program, students undertake several mini-projects that align with their course content and career interests. These projects are typically completed in teams of 3-5 members under faculty supervision. Each project includes a proposal phase, implementation, documentation, and presentation components.
Final-Year Thesis/Capstone Project
The capstone project is a significant milestone in the B.Tech journey. Students select a research topic or industry challenge related to their specialization and work closely with a faculty mentor over the course of two semesters. The project culminates in a comprehensive report, oral defense, and demonstration of the solution developed.
Project Selection and Mentorship
Students are encouraged to choose projects that align with their academic interests and career goals. Faculty mentors guide students through the entire process, providing technical support, feedback, and resources necessary for successful completion. Industry partners may also sponsor projects, offering real-world relevance and potential internship opportunities.