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Fees
₹12,00,000
Placement
93.5%
Avg Package
₹5,20,000
Highest Package
₹9,50,000
Fees
₹12,00,000
Placement
93.5%
Avg Package
₹5,20,000
Highest Package
₹9,50,000
Seats
350
Students
350
Seats
350
Students
350
The Engineering program at Isbm University Gariyaband is meticulously structured to provide a comprehensive foundation in core sciences, followed by progressive specialization and real-world application. The curriculum spans four years and includes a combination of core courses, departmental electives, science electives, and practical laboratory sessions designed to cultivate both theoretical understanding and hands-on expertise.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Engineering Physics I | 3-1-0-4 | - |
| 1 | ENG103 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | ENG104 | Introduction to Programming | 2-0-2-3 | - |
| 1 | ENG105 | Engineering Graphics & Design | 2-0-2-3 | - |
| 1 | ENG106 | Chemistry for Engineers | 3-1-0-4 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Engineering Physics II | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Digital Logic & Computer Organization | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Data Structures and Algorithms | 3-1-0-4 | ENG104 |
| 2 | ENG205 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | ENG206 | Environmental Science | 3-1-0-4 | - |
| 3 | ENG301 | Statistics and Probability | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Signals and Systems | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Object-Oriented Programming | 3-1-0-4 | ENG204 |
| 3 | ENG304 | Thermodynamics | 3-1-0-4 | ENG205 |
| 3 | ENG305 | Control Systems | 3-1-0-4 | - |
| 3 | ENG306 | Materials Science | 3-1-0-4 | ENG106 |
| 4 | ENG401 | Advanced Mathematics | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Digital Signal Processing | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Software Engineering | 3-1-0-4 | ENG303 |
| 4 | ENG404 | Electrical Machines | 3-1-0-4 | ENG203 |
| 4 | ENG405 | Operations Research | 3-1-0-4 | ENG301 |
| 4 | ENG406 | Advanced Control Theory | 3-1-0-4 | ENG305 |
| 5 | ENG501 | Industrial Engineering | 3-1-0-4 | - |
| 5 | ENG502 | Machine Learning | 3-1-0-4 | ENG303 |
| 5 | ENG503 | Power Electronics | 3-1-0-4 | ENG404 |
| 5 | ENG504 | Renewable Energy Systems | 3-1-0-4 | - |
| 5 | ENG505 | Quality Control & Management | 3-1-0-4 | - |
| 5 | ENG506 | Advanced Materials | 3-1-0-4 | ENG306 |
| 6 | ENG601 | Embedded Systems | 3-1-0-4 | ENG502 |
| 6 | ENG602 | Cybersecurity Fundamentals | 3-1-0-4 | - |
| 6 | ENG603 | Automation & Robotics | 3-1-0-4 | - |
| 6 | ENG604 | Advanced Power Systems | 3-1-0-4 | ENG503 |
| 6 | ENG605 | Project Management | 3-1-0-4 | - |
| 6 | ENG606 | Sustainable Engineering Practices | 3-1-0-4 | - |
| 7 | ENG701 | Research Methodology | 3-1-0-4 | - |
| 7 | ENG702 | Capstone Project I | 2-0-2-3 | - |
| 7 | ENG703 | Special Topics in Engineering | 3-1-0-4 | - |
| 7 | ENG704 | Advanced Data Analytics | 3-1-0-4 | ENG502 |
| 7 | ENG705 | Human Factors in Engineering | 3-1-0-4 | - |
| 7 | ENG706 | Professional Ethics & Governance | 2-1-0-3 | - |
| 8 | ENG801 | Capstone Project II | 4-0-0-4 | ENG702 |
| 8 | ENG802 | Internship & Industry Exposure | 2-0-0-2 | - |
| 8 | ENG803 | Final Research Paper | 4-0-0-4 | - |
| 8 | ENG804 | Ethics in Engineering Practice | 2-1-0-3 | - |
| 8 | ENG805 | Entrepreneurship & Innovation | 2-1-0-3 | - |
| 8 | ENG806 | Final Review Session | 2-0-0-2 | - |
Departmental electives are designed to allow students to explore specialized areas within their engineering discipline. Each course is tailored to meet the growing demand for advanced skills and knowledge in specific fields.
This course introduces students to machine learning concepts, algorithms, and applications. Topics include supervised and unsupervised learning, neural networks, deep learning frameworks, and reinforcement learning. Students learn to implement models using Python and TensorFlow while working on real-world datasets.
Students gain an understanding of cybersecurity principles, including encryption techniques, network security, risk assessment, and digital forensics. The course emphasizes hands-on experience through labs and simulations that mirror real-world threats and defense mechanisms.
This course covers modern power systems analysis, including stability studies, load flow analysis, and protection schemes. Students also explore renewable energy integration, smart grids, and microgrids, gaining insights into future trends in electrical power distribution.
The focus of this course is on designing and developing embedded systems for various applications. Students learn about microcontrollers, real-time operating systems, interfacing with sensors, and software development tools used in embedded environments.
This elective explores automation technologies and robotics design principles. It covers topics such as motion control, sensor integration, robotic kinematics, and industrial applications of automation. Students work on projects involving robot design and programming using ROS (Robot Operating System).
The course provides a comprehensive overview of renewable energy sources, including solar, wind, hydroelectric, and geothermal power. Students study system design, performance evaluation, and economic feasibility analysis, preparing them for careers in sustainable energy sectors.
This course focuses on quality assurance and management systems in engineering environments. It covers Six Sigma methodologies, statistical process control, ISO standards, and continuous improvement techniques used in manufacturing and service industries.
Students examine sustainable development practices and environmental impact assessments. The course emphasizes lifecycle analysis, green design principles, and regulatory compliance in engineering projects to promote long-term sustainability.
This elective teaches students how to extract insights from large datasets using statistical methods and data visualization tools. It covers predictive modeling, machine learning applications in business analytics, and big data processing techniques used across industries.
The course explores the interaction between humans and engineering systems, focusing on ergonomics, human behavior in design, and usability testing. Students learn to apply human factors principles to improve safety, efficiency, and user satisfaction in engineering contexts.
At Isbm University Gariyaband, project-based learning forms the cornerstone of our educational approach. This philosophy emphasizes active learning through meaningful projects that connect theory with practice. Students are encouraged to work collaboratively, think critically, and solve complex problems throughout their academic journey.
Throughout the program, students undertake several mini-projects aimed at reinforcing core concepts and developing practical skills. These projects are typically completed in teams of 3-5 members and are evaluated based on technical execution, innovation, presentation quality, and teamwork.
The final-year capstone project represents the culmination of a student's engineering education. Students select a topic aligned with their specialization or interest, conduct independent research, and present findings to a panel of faculty members and industry experts. This project serves as a platform for students to demonstrate mastery in their chosen field while contributing to real-world solutions.
Students choose their projects based on interests, mentor availability, and industry relevance. Faculty mentors guide students through the planning phase, helping them refine objectives, develop timelines, and identify resources needed for successful completion. The selection process ensures that each student works on a project that challenges them while aligning with their career aspirations.
