Curriculum Overview
The curriculum for the Engineering program at Gyanmanjari Innovative University Bhavnagar is designed to provide a comprehensive foundation in engineering principles while fostering innovation, creativity, and professional readiness. The program spans eight semesters, with each semester carefully structured to build upon previous knowledge and introduce advanced concepts relevant to industry needs.
Semester-Wise Course Breakdown
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|---|
| I | I | MA101 | Calculus and Analytical Geometry | 3-1-0-2 | None |
| PH101 | Physics for Engineers | 3-1-0-2 | None | ||
| CH101 | Chemistry for Engineers | 3-1-0-2 | None | ||
| EC101 | Engineering Graphics and Design | 2-0-2-2 | None | ||
| I | II | MA102 | Differential Equations and Vector Calculus | 3-1-0-2 | MA101 |
| PH102 | Thermodynamics and Statistical Mechanics | 3-1-0-2 | PH101 | ||
| CH102 | Organic Chemistry and Biochemistry | 3-1-0-2 | CH101 | ||
| EC102 | Introduction to Electronics | 3-1-0-2 | EC101 | ||
| II | III | MA201 | Linear Algebra and Numerical Methods | 3-1-0-2 | MA102 |
| PH201 | Electromagnetic Theory | 3-1-0-2 | PH102 | ||
| CH201 | Inorganic Chemistry and Materials Science | 3-1-0-2 | CH102 | ||
| EC201 | Digital Electronics and Logic Design | 3-1-0-2 | EC102 | ||
| II | IV | MA202 | Probability and Statistics | 3-1-0-2 | MA201 |
| PH202 | Optics and Modern Physics | 3-1-0-2 | PH201 | ||
| CH202 | Physical Chemistry and Electrochemistry | 3-1-0-2 | CH201 | ||
| EC202 | Analog Electronics | 3-1-0-2 | EC201 | ||
| III | V | CS301 | Data Structures and Algorithms | 3-1-0-2 | EC202 |
| ME301 | Strength of Materials | 3-1-0-2 | EC202 | ||
| EE301 | Electrical Circuits and Networks | 3-1-0-2 | EC202 | ||
| CIV301 | Structural Analysis | 3-1-0-2 | PH202 | ||
| III | VI | CS302 | Database Management Systems | 3-1-0-2 | CS301 |
| ME302 | Thermodynamics and Heat Transfer | 3-1-0-2 | ME301 | ||
| EE302 | Power Systems Analysis | 3-1-0-2 | EE301 | ||
| CIV302 | Geotechnical Engineering | 3-1-0-2 | CIV301 | ||
| IV | VII | CS401 | Software Engineering | 3-1-0-2 | CS302 |
| ME401 | Mechanics of Machines | 3-1-0-2 | ME302 | ||
| EE401 | Control Systems | 3-1-0-2 | EE302 | ||
| CIV401 | Transportation Engineering | 3-1-0-2 | CIV302 | ||
| IV | VIII | CS402 | Capstone Project in Computer Engineering | 3-1-0-2 | CS401 |
| ME402 | Advanced Manufacturing Processes | 3-1-0-2 | ME401 | ||
| EE402 | Electrical Machines and Drives | 3-1-0-2 | EE401 | ||
| CIV402 | Environmental Engineering | 3-1-0-2 | CIV401 |
Advanced Departmental Elective Courses
The department offers a wide range of advanced elective courses designed to deepen students' understanding and prepare them for specialized roles in their chosen fields. These courses are regularly updated based on industry trends and research developments.
Artificial Intelligence and Machine Learning (CS)
This course introduces students to the fundamentals of machine learning, deep learning, and neural networks. Students learn about supervised and unsupervised learning techniques, including decision trees, clustering algorithms, and reinforcement learning. Practical applications include image recognition, natural language processing, and predictive analytics.
Cybersecurity (CS)
This elective covers network security protocols, cryptography, ethical hacking, and digital forensics. Students gain hands-on experience with security tools and frameworks used in enterprise environments. The course also explores emerging threats and mitigation strategies in the context of modern cyber attacks.
Data Science and Analytics (CS)
Students explore statistical modeling, data visualization, and predictive analytics using Python, R, and SQL. The course emphasizes real-world datasets and practical problem-solving approaches to extract meaningful insights from complex data structures.
Internet of Things (IoT) (CS)
This course focuses on the design and implementation of IoT systems. Students learn about sensor networks, wireless communication protocols, embedded systems programming, and cloud integration for scalable IoT applications.
Cloud Computing (CS)
Students study virtualization, containerization technologies like Docker and Kubernetes, and cloud service models such as IaaS, PaaS, and SaaS. The course includes hands-on experience with AWS, Azure, and Google Cloud platforms.
Renewable Energy Systems (EE)
This elective explores solar, wind, hydroelectric, and geothermal energy conversion technologies. Students study power electronics, energy storage systems, grid integration challenges, and sustainability metrics for renewable energy projects.
Smart Grid Technologies (EE)
The course covers smart metering, demand response programs, microgrids, and power system automation. Students learn about grid stability, energy management systems, and the integration of distributed renewable sources into existing power infrastructure.
Structural Analysis and Design (CIV)
This advanced course delves into structural behavior under various loading conditions, seismic design principles, and computer modeling techniques. Students work on real-world projects involving bridge and building design using industry-standard software tools.
Transportation Engineering (CIV)
Students study traffic flow theory, highway design, urban transportation planning, and intelligent transportation systems. The course includes fieldwork and simulations to understand the complexities of modern transportation networks.
Biomedical Instrumentation (BME)
This course covers medical device design, signal processing for biomedical applications, and regulatory compliance in healthcare technology. Students gain experience with biosensors, diagnostic equipment, and clinical trial protocols.
Automation and Robotics (ME)
Students explore industrial automation, robot kinematics, control systems, and sensor integration. The course includes practical lab sessions where students design and program robots for specific tasks in manufacturing environments.
Project-Based Learning Philosophy
Gyanmanjari Innovative University Bhavnagar places a strong emphasis on project-based learning as a core component of its engineering curriculum. This pedagogical approach ensures that students acquire practical skills while applying theoretical knowledge to real-world problems.
Mini Projects
Mini projects are introduced in the second and third years, allowing students to work in small teams on focused engineering challenges. These projects typically last 8-12 weeks and involve research, design, prototyping, testing, and documentation phases. Students receive mentorship from faculty members throughout the project lifecycle.
Final-Year Thesis/Capstone Project
The final-year capstone project represents the culmination of students' engineering education. Projects are selected in consultation with faculty mentors and often involve collaboration with industry partners or societal organizations. Students are expected to demonstrate innovation, technical proficiency, and effective communication skills through their final presentations.
Project Selection Process
Students can choose from a list of proposed projects provided by faculty members or submit their own ideas for approval. The selection process considers the relevance of the topic, available resources, feasibility within the timeframe, and alignment with career goals. Regular progress reviews ensure that projects stay on track.
Evaluation Criteria
Projects are evaluated based on multiple criteria including technical merit, creativity, teamwork, presentation quality, and impact assessment. Faculty mentors provide feedback throughout the project cycle, ensuring continuous improvement and learning outcomes.