Electrical Engineering Curriculum at Mahayogi Gorakhnath University

The Electrical Engineering curriculum at Mahayogi Gorakhnath University is meticulously designed to provide students with a robust foundation in core electrical concepts while encouraging innovation and research. The program spans eight semesters and includes a balanced mix of theoretical subjects, laboratory work, departmental electives, and practical projects.

Semester-wise Course Structure

Year	Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
Year 1	Semester 1	MA101	Calculus and Differential Equations	3-1-0-4	-
		PH101	Physics for Engineers	3-1-0-4	-
		CH101	Chemistry for Engineers	3-1-0-4	-
		ME101	Basic Mechanical Engineering	3-1-0-4	-
		CS101	Introduction to Programming	2-0-2-3	-
		EC101	Basic Electrical Engineering	3-1-0-4	-
		HS101	English for Engineers	2-0-0-2	-
		EG101	Engineering Graphics	2-1-0-3	-
		EP101	Engineering Practices	0-0-4-2	-
		IT101	Introduction to Information Technology	2-0-0-2	-
Year 1	Semester 2	MA102	Probability and Statistics	3-1-0-4	MA101
		PH102	Modern Physics and Applications	3-1-0-4	PH101
		CH102	Organic Chemistry and Biochemistry	3-1-0-4	CH101
		ME102	Mechanics of Materials	3-1-0-4	ME101
		CS102	Data Structures and Algorithms	2-0-2-3	CS101
		EC102	Electrical Circuits and Networks	3-1-0-4	EC101
		HS102	Critical Thinking and Communication	2-0-0-2	-
		EG102	Computer Aided Drafting	2-1-0-3	EG101
		EP102	Engineering Workshop	0-0-4-2	-
		IT102	Computer Fundamentals and Applications	2-0-0-2	IT101
Year 2	Semester 3	MA201	Linear Algebra and Numerical Methods	3-1-0-4	MA102
		PH201	Electromagnetic Field Theory	3-1-0-4	PH102
		CH201	Inorganic Chemistry and Material Science	3-1-0-4	CH102
		ME201	Thermodynamics and Heat Transfer	3-1-0-4	ME102
		CS201	Object-Oriented Programming with C++	2-0-2-3	CS102
		EC201	Electronics Devices and Circuits	3-1-0-4	EC102
		HS201	Leadership and Team Management	2-0-0-2	-
		EG201	Engineering Design and Modeling	2-1-0-3	EG102
		EP201	Lab Practical I	0-0-6-3	-
		IT201	Database Management Systems	2-0-2-3	IT102
Year 2	Semester 4	MA202	Differential Equations and Partial Derivatives	3-1-0-4	MA201
		PH202	Optics, Lasers and Fiber Optics	3-1-0-4	PH201
		CH202	Physical Chemistry and Applications	3-1-0-4	CH201
		ME202	Mechanical Vibrations and Dynamics	3-1-0-4	ME201
		CS202	Operating Systems	2-0-2-3	CS201
		EC202	Digital Electronics and Logic Design	3-1-0-4	EC201
		HS202	Cultural Awareness and Ethics	2-0-0-2	-
		EG202	Engineering Visualization Tools	2-1-0-3	EG201
		EP202	Lab Practical II	0-0-6-3	-
		IT202	Web Technologies and Applications	2-0-2-3	IT201
Year 3	Semester 5	MA301	Complex Variables and Transform Methods	3-1-0-4	MA202
		PH301	Quantum Mechanics and Applications	3-1-0-4	PH202
		CH301	Chemical Engineering Principles	3-1-0-4	CH202
		ME301	Machine Design and Manufacturing Processes	3-1-0-4	ME202
		CS301	Software Engineering	2-0-2-3	CS202
		EC301	Signals and Systems	3-1-0-4	EC202
		HS301	Global Issues and Sustainable Development	2-0-0-2	-
		EG301	Computer-Aided Engineering Design	2-1-0-3	EG202
		EP301	Advanced Lab Practical I	0-0-6-3	-
		IT301	Mobile Application Development	2-0-2-3	IT202
Year 3	Semester 6	MA302	Linear Programming and Optimization	3-1-0-4	MA301
		PH302	Nuclear Physics and Applications	3-1-0-4	PH301
		CH302	Environmental Chemistry and Pollution Control	3-1-0-4	CH301
		ME302	Strength of Materials and Structural Analysis	3-1-0-4	ME301
		CS302	Advanced Data Structures and Algorithms	2-0-2-3	CS301
		EC302	Control Systems	3-1-0-4	EC301
		HS302	Philosophy and Critical Analysis	2-0-0-2	-
		EG302	Engineering Project Management	2-1-0-3	EG301
		EP302	Advanced Lab Practical II	0-0-6-3	-
		IT302	Cloud Computing and DevOps	2-0-2-3	IT301
Year 4	Semester 7	MA401	Stochastic Processes and Applications	3-1-0-4	MA302
		PH401	Optical Instruments and Metrology	3-1-0-4	PH302
		CH401	Industrial Chemistry and Process Control	3-1-0-4	CH302
		ME401	Manufacturing Systems and Automation	3-1-0-4	ME302
		CS401	Artificial Intelligence and Machine Learning	2-0-2-3	CS302
		EC401	Power Electronics and Drives	3-1-0-4	EC302
		HS401	Global Leadership and Change Management	2-0-0-2	-
		EG401	Design and Innovation Workshop	2-1-0-3	EG302
		EP401	Capstone Project I	0-0-8-4	-
		IT401	Distributed Systems and Network Security	2-0-2-3	IT302
Year 4	Semester 8	MA402	Mathematical Modeling and Simulation	3-1-0-4	MA401
		PH402	Electronics Materials and Devices	3-1-0-4	PH401
		CH402	Chemical Process Engineering	3-1-0-4	CH401
		ME402	Advanced Manufacturing Techniques	3-1-0-4	ME401
		CS402	Computer Vision and Image Processing	2-0-2-3	CS401
		EC402	Communication Systems	3-1-0-4	EC401
		HS402	Human Rights and Social Justice	2-0-0-2	-
		EG402	Entrepreneurship and Innovation	2-1-0-3	EG401
		EP402	Capstone Project II	0-0-8-4	-
		IT402	Blockchain and Cryptocurrency Technologies	2-0-2-3	IT401

Advanced Departmental Electives

Departmental electives in the Electrical Engineering program at Mahayogi Gorakhnath University are designed to deepen students' understanding of specialized areas and provide them with practical skills needed in their chosen fields.

• Power Electronics and Drives: This course covers advanced topics in power conversion, motor drives, and renewable energy integration. Students learn about DC-DC converters, inverters, and variable frequency drives (VFDs). The course includes hands-on laboratory sessions using real-world equipment.
• Control Systems: Focuses on classical and modern control theory, including PID controllers, state-space methods, and system stability analysis. Students implement control strategies in MATLAB/Simulink and hardware-in-the-loop simulations.
• Signal Processing: Introduces students to digital signal processing techniques, including filtering, spectral analysis, and transform methods. The course emphasizes practical applications in audio, biomedical, and communication systems.
• Electromagnetic Fields and Waves: Explores electromagnetic wave propagation, transmission lines, and antenna design. Students gain insights into radar systems, wireless communication, and microwave engineering through theoretical and computational approaches.
• Renewable Energy Systems: This course examines various renewable energy technologies such as solar photovoltaics, wind turbines, and hydroelectric power plants. Students study energy storage solutions, grid integration challenges, and policy frameworks for sustainable development.
• Microprocessor Architecture and Embedded Systems: Provides an in-depth understanding of microcontroller architectures, programming languages (C/C++), and real-time operating systems. Students develop embedded applications using ARM-based platforms and IoT devices.
• Communication Systems: Covers analog and digital communication principles, modulation techniques, error correction codes, and network protocols. The course includes laboratory experiments on signal transmission and reception.
• Power System Analysis and Stability: Focuses on analyzing power system components, load flow studies, short circuit analysis, and transient stability. Students model and simulate complex power networks using industry-standard software tools.
• Artificial Intelligence in Engineering Applications: Integrates AI concepts with engineering practices, focusing on machine learning algorithms, neural networks, and deep learning frameworks. Students apply these techniques to solve real-world problems in control systems, signal processing, and robotics.
• VLSI Design: Teaches the fundamentals of Very Large Scale Integration (VLSI) design, including logic synthesis, layout design, and verification methods. Students use CAD tools like Cadence and Synopsys to design integrated circuits from gate level to system level.

Project-Based Learning Philosophy

The Electrical Engineering program at Mahayogi Gorakhnath University strongly emphasizes project-based learning as a cornerstone of education. This approach enables students to apply theoretical knowledge in practical scenarios while developing problem-solving and critical thinking skills.

Mini-Projects

Mini-projects are mandatory assignments completed during the third and fourth years of the program. These projects typically last 6-8 weeks and involve small teams of 3-5 students working under faculty supervision. Students are encouraged to choose topics aligned with their interests or industry needs.

Final-Year Thesis/Capstone Project

The final-year capstone project represents the culmination of a student's academic journey. It spans 12 weeks and requires extensive research, design, implementation, and documentation. Students select projects in consultation with faculty mentors based on their career aspirations or emerging technological trends.

Selection Process

Students begin the selection process during their third year by submitting project proposals to faculty members whose research interests align with theirs. The faculty evaluates proposals based on feasibility, novelty, and alignment with departmental goals. Selected students are then assigned mentors who guide them through the project lifecycle.