Comprehensive Course Structure

The engineering curriculum at Om Sterling Global University Hisar is designed to provide a balanced mix of theoretical knowledge and practical experience. The program spans eight semesters, with each semester consisting of core courses, departmental electives, science electives, and laboratory sessions.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
1	ENG101	Engineering Mathematics I	3-1-0-4	-
1	ENG102	Physics for Engineers	3-1-0-4	-
1	ENG103	Chemistry for Engineers	3-1-0-4	-
1	ENG104	Introduction to Engineering Design	2-0-2-3	-
1	ENG105	Computer Programming	3-1-0-4	-
1	ENG106	Engineering Graphics & Design	2-0-2-3	-
2	ENG201	Engineering Mathematics II	3-1-0-4	ENG101
2	ENG202	Electrical Circuits & Networks	3-1-0-4	ENG102
2	ENG203	Thermodynamics & Heat Transfer	3-1-0-4	ENG102
2	ENG204	Mechanics of Materials	3-1-0-4	ENG102
2	ENG205	Fluid Mechanics & Hydraulic Machines	3-1-0-4	ENG102
2	ENG206	Computer Programming Lab	0-0-3-2	ENG105
3	ENG301	Signals & Systems	3-1-0-4	ENG201
3	ENG302	Digital Electronics & Logic Design	3-1-0-4	ENG202
3	ENG303	Control Systems	3-1-0-4	ENG301
3	ENG304	Materials Science & Metallurgy	3-1-0-4	ENG103
3	ENG305	Manufacturing Processes	3-1-0-4	ENG204
3	ENG306	Engineering Economics & Management	3-1-0-4	-
4	ENG401	Communication Systems	3-1-0-4	ENG301
4	ENG402	Microprocessors & Microcontrollers	3-1-0-4	ENG302
4	ENG403	Power Systems	3-1-0-4	ENG202
4	ENG404	Structural Analysis	3-1-0-4	ENG204
4	ENG405	Heat Transfer & Mass Transfer	3-1-0-4	ENG203
4	ENG406	Computer Architecture Lab	0-0-3-2	ENG302
5	ENG501	Advanced Mathematics for Engineers	3-1-0-4	ENG201
5	ENG502	Machine Learning	3-1-0-4	ENG301
5	ENG503	Cybersecurity Fundamentals	3-1-0-4	ENG302
5	ENG504	Renewable Energy Technologies	3-1-0-4	ENG203
5	ENG505	Biomedical Instrumentation	3-1-0-4	ENG301
5	ENG506	Advanced Control Systems	3-1-0-4	ENG303
6	ENG601	Embedded Systems	3-1-0-4	ENG402
6	ENG602	Big Data Analytics	3-1-0-4	ENG501
6	ENG603	Industrial Robotics	3-1-0-4	ENG303
6	ENG604	Smart Grid Integration	3-1-0-4	ENG403
6	ENG605	Aerospace Engineering Principles	3-1-0-4	ENG205
6	ENG606	Research Methodology & Project Planning	3-1-0-4	-
7	ENG701	Capstone Project I	3-0-3-6	ENG502, ENG503
7	ENG702	Internship Preparation	1-0-0-1	-
8	ENG801	Capstone Project II	3-0-3-6	ENG701
8	ENG802	Professional Ethics & Social Responsibility	3-1-0-4	-

Advanced Departmental Elective Courses

The department offers a wide range of advanced elective courses designed to provide students with specialized knowledge and skills in their chosen fields. These courses are taught by leading faculty members who are active researchers in their domains.

1. Machine Learning

This course introduces students to the fundamental concepts of machine learning, including supervised and unsupervised learning algorithms. Students learn how to apply these techniques using Python and TensorFlow. The curriculum covers topics such as neural networks, decision trees, clustering, regression analysis, and reinforcement learning.

2. Cybersecurity Fundamentals

This course provides a comprehensive overview of cybersecurity principles and practices. Students explore network security protocols, cryptography, ethical hacking, digital forensics, and secure software development. The course includes hands-on labs that simulate real-world attacks and defense strategies.

3. Renewable Energy Technologies

This elective focuses on the design and implementation of renewable energy systems. Students study solar photovoltaic systems, wind turbines, hydroelectric generators, and battery storage technologies. The course includes case studies from around the world and emphasizes sustainability and economic feasibility.

4. Biomedical Instrumentation

This course explores the application of engineering principles in medical devices and diagnostics. Students learn about sensors, signal processing, bioelectronics, and medical imaging techniques. The curriculum includes projects involving patient monitoring systems and diagnostic equipment design.

5. Industrial Robotics

This elective introduces students to industrial robotics and automation. Topics include robot kinematics, control systems, sensor integration, and programming languages used in robotics. Students work on projects involving robotic arms, autonomous vehicles, and manufacturing automation systems.

6. Embedded Systems

This course covers the design and development of embedded systems for real-time applications. Students learn about microcontrollers, operating systems, real-time programming, and hardware-software co-design. The curriculum includes practical labs involving Arduino and Raspberry Pi platforms.

7. Big Data Analytics

This course teaches students how to analyze large datasets using statistical methods and computational tools. Students learn about data mining, visualization, predictive modeling, and cloud computing platforms like AWS and Google Cloud. The course includes projects involving real-world datasets from various industries.

8. Advanced Control Systems

This elective delves into modern control theory and its applications in engineering systems. Students study state-space representation, optimal control, robust control, and adaptive control. The curriculum includes simulations using MATLAB and Simulink tools.

9. Smart Grid Integration

This course focuses on the integration of renewable energy sources into existing power grids. Students learn about grid stability, load forecasting, demand response, and smart meter technologies. The course includes field visits to local power stations and case studies from global utilities.

10. Aerospace Engineering Principles

This elective provides an introduction to aerospace engineering concepts, including aerodynamics, propulsion systems, structural analysis, and flight dynamics. Students engage in projects involving model aircraft design and wind tunnel testing.

Project-Based Learning Philosophy

Om Sterling Global University Hisar strongly believes that project-based learning is essential for developing competent engineers who can apply their knowledge to solve real-world problems. The program integrates project work throughout the curriculum, with students working on both mini-projects and capstone projects.

Mini Projects

Mini projects are assigned during the second year of study, allowing students to explore specific engineering challenges in small teams. These projects typically last for 2-3 months and involve problem identification, literature review, experimental design, data collection, and solution presentation. Students receive guidance from faculty mentors and participate in peer review sessions.

Final-Year Thesis/Capstone Project

The final-year thesis or capstone project is a significant component of the program, providing students with an opportunity to demonstrate their mastery of engineering principles through independent research or innovative design. Students choose a topic aligned with their interests and career goals, often in collaboration with industry partners or faculty members.

Project Selection and Mentorship

Students are encouraged to select projects based on their interests, but they must align with departmental requirements and available resources. Faculty mentors are assigned based on the project domain, ensuring that students receive expert guidance throughout their research journey. Regular progress meetings and milestone evaluations help ensure timely completion of the project.