Curriculum Overview
The curriculum at Shri Dharmasthala Manjunatheshwara University Dharwad is designed to provide students with a comprehensive understanding of engineering principles while also fostering innovation and practical application. The program is structured over 8 semesters, with a balanced mix of core engineering subjects, departmental electives, science electives, and laboratory courses. The curriculum emphasizes project-based learning, allowing students to apply theoretical knowledge to real-world problems.
Course Structure
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Engineering Physics | 3-1-0-4 | None |
| 1 | ENG103 | Engineering Chemistry | 3-1-0-4 | None |
| 1 | ENG104 | Engineering Graphics | 2-0-2-3 | None |
| 1 | ENG105 | Basic Electrical Engineering | 3-1-0-4 | None |
| 1 | ENG106 | Engineering Mechanics | 3-1-0-4 | None |
| 1 | ENG107 | Programming for Engineers | 2-0-2-3 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Materials Science | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Electrical Circuits | 3-1-0-4 | ENG105 |
| 2 | ENG205 | Engineering Economy | 3-1-0-4 | None |
| 2 | ENG206 | Control Systems | 3-1-0-4 | ENG204 |
| 2 | ENG207 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Heat Transfer | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Fluid Mechanics | 3-1-0-4 | ENG201 |
| 3 | ENG304 | Computer Architecture | 3-1-0-4 | ENG107 |
| 3 | ENG305 | Design and Analysis of Algorithms | 3-1-0-4 | ENG107 |
| 3 | ENG306 | Database Management Systems | 3-1-0-4 | ENG107 |
| 3 | ENG307 | Microprocessors | 3-1-0-4 | ENG204 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Manufacturing Processes | 3-1-0-4 | ENG303 |
| 4 | ENG403 | Power Systems | 3-1-0-4 | ENG204 |
| 4 | ENG404 | Signal Processing | 3-1-0-4 | ENG207 |
| 4 | ENG405 | Software Engineering | 3-1-0-4 | ENG305 |
| 4 | ENG406 | Operating Systems | 3-1-0-4 | ENG305 |
| 4 | ENG407 | Embedded Systems | 3-1-0-4 | ENG307 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Advanced Thermodynamics | 3-1-0-4 | ENG202 |
| 5 | ENG503 | Advanced Fluid Mechanics | 3-1-0-4 | ENG303 |
| 5 | ENG504 | Artificial Intelligence | 3-1-0-4 | ENG305 |
| 5 | ENG505 | Cybersecurity | 3-1-0-4 | ENG305 |
| 5 | ENG506 | Network Security | 3-1-0-4 | ENG305 |
| 5 | ENG507 | Machine Learning | 3-1-0-4 | ENG504 |
| 6 | ENG601 | Advanced Control Systems | 3-1-0-4 | ENG206 |
| 6 | ENG602 | Renewable Energy | 3-1-0-4 | ENG202 |
| 6 | ENG603 | Structural Analysis | 3-1-0-4 | ENG106 |
| 6 | ENG604 | Biomedical Engineering | 3-1-0-4 | ENG201 |
| 6 | ENG605 | Robotics | 3-1-0-4 | ENG307 |
| 6 | ENG606 | Advanced Computer Networks | 3-1-0-4 | ENG305 |
| 6 | ENG607 | Computational Fluid Dynamics | 3-1-0-4 | ENG303 |
| 7 | ENG701 | Capstone Project I | 2-0-4-4 | ENG504 |
| 7 | ENG702 | Capstone Project II | 2-0-4-4 | ENG701 |
| 7 | ENG703 | Advanced Electives I | 3-1-0-4 | ENG504 |
| 7 | ENG704 | Advanced Electives II | 3-1-0-4 | ENG504 |
| 7 | ENG705 | Advanced Electives III | 3-1-0-4 | ENG504 |
| 7 | ENG706 | Advanced Electives IV | 3-1-0-4 | ENG504 |
| 7 | ENG707 | Advanced Electives V | 3-1-0-4 | ENG504 |
| 8 | ENG801 | Final Year Project | 2-0-4-4 | ENG702 |
| 8 | ENG802 | Internship | 0-0-0-6 | None |
| 8 | ENG803 | Elective I | 3-1-0-4 | ENG504 |
| 8 | ENG804 | Elective II | 3-1-0-4 | ENG504 |
| 8 | ENG805 | Elective III | 3-1-0-4 | ENG504 |
| 8 | ENG806 | Elective IV | 3-1-0-4 | ENG504 |
| 8 | ENG807 | Elective V | 3-1-0-4 | ENG504 |
Advanced Departmental Electives
The department offers a wide range of advanced departmental electives that allow students to explore specialized areas of interest. These courses are designed to deepen students' understanding of specific engineering disciplines and prepare them for advanced research or industry roles.
Artificial Intelligence – This course introduces students to the fundamental concepts of AI, including machine learning, neural networks, and natural language processing. Students learn how to develop intelligent systems that can learn and adapt to new data.
Cybersecurity – This course covers the principles and practices of cybersecurity, including network security, cryptography, and ethical hacking. Students gain hands-on experience with security tools and techniques used to protect digital assets.
Renewable Energy Systems – This course explores the design and implementation of renewable energy systems, including solar, wind, and hydroelectric power. Students learn about energy storage, grid integration, and environmental impact assessment.
Biomedical Engineering – This course combines engineering principles with medical and biological sciences. Students study medical device design, bioinformatics, and healthcare systems, preparing them for roles in the healthcare industry.
Robotics – This course focuses on the design and development of robotic systems. Students learn about robotics control, sensor integration, and automation technologies, preparing them for careers in robotics and automation.
Advanced Control Systems – This course covers advanced topics in control systems, including state-space representation, optimal control, and robust control. Students learn how to design control systems for complex engineering applications.
Computational Fluid Dynamics – This course explores the simulation and analysis of fluid flow using computational methods. Students learn about aerodynamics, heat transfer, and computational modeling, preparing them for careers in aerospace and automotive industries.
Network Security – This course focuses on the principles and practices of network security. Students learn about network architecture, security protocols, and incident response, preparing them for roles in cybersecurity.
Machine Learning – This course introduces students to the principles and techniques of machine learning. Students learn about supervised and unsupervised learning, deep learning, and reinforcement learning, preparing them for roles in AI and data science.
Embedded Systems – This course covers the design and implementation of embedded systems. Students learn about microcontrollers, real-time operating systems, and system integration, preparing them for roles in embedded software development.
Advanced Computer Networks – This course explores advanced topics in computer networking, including network security, quality of service, and network management. Students learn how to design and implement secure and efficient network systems.
Structural Analysis – This course covers the analysis and design of structures under various loads. Students learn about structural mechanics, seismic design, and sustainable construction practices, preparing them for careers in structural engineering.
Power Systems – This course focuses on the design and operation of power systems. Students learn about power generation, transmission, and distribution, preparing them for roles in the energy sector.
Signal Processing – This course covers the principles and techniques of signal processing. Students learn about digital signal processing, filtering, and spectral analysis, preparing them for roles in communications and signal processing.
Database Management Systems – This course explores the design and implementation of database systems. Students learn about database architecture, SQL, and data modeling, preparing them for roles in data management and software development.
Project-Based Learning
Project-based learning is a core component of the engineering program at Shri Dharmasthala Manjunatheshwara University Dharwad. Students are encouraged to apply their theoretical knowledge to real-world problems through a series of projects that span multiple semesters.
The program includes mandatory mini-projects in the third and fourth semesters, where students work in teams to solve engineering problems. These projects are designed to develop critical thinking, teamwork, and problem-solving skills. Students are guided by faculty mentors who provide feedback and support throughout the project lifecycle.
The final-year thesis/capstone project is a comprehensive, interdisciplinary project that integrates knowledge from various fields. Students work on a project of their choice, under the guidance of a faculty mentor. The project is evaluated based on its innovation, technical depth, and practical relevance. Students are also required to present their work to a panel of experts, which includes faculty members and industry professionals.
Students select their projects and mentors based on their interests and career aspirations. The university provides a platform for students to explore various research areas and connect with faculty members who specialize in their field of interest. This ensures that students are exposed to cutting-edge research and development opportunities.