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Pune, Maharashtra, India

Duration

4 Years

Electrical Engineering

Anjaneya University Raipur
Duration
4 Years
Electrical Engineering UG OFFLINE

Duration

4 Years

Electrical Engineering

Anjaneya University Raipur
Duration
Apply

Fees

₹17,40,000

Placement

95.5%

Avg Package

₹5,60,000

Highest Package

₹10,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Electrical Engineering
UG
OFFLINE

Fees

₹17,40,000

Placement

95.5%

Avg Package

₹5,60,000

Highest Package

₹10,00,000

Seats

120

Students

2,500

ApplyCollege

Seats

120

Students

2,500

Curriculum

Curriculum

The Electrical Engineering program at Anjaneya University Raipur is structured over eight semesters to provide a comprehensive academic journey. The following table outlines all core courses, departmental electives, science electives, and lab components:

SemesterCourse CodeCourse TitleCredits (L-T-P-C)Pre-requisites
1ENG101Engineering Mathematics I3-1-0-4-
1PHY101Physics for Engineers3-1-0-4-
1CHE101Chemistry for Engineers3-1-0-4-
1EG101Engineering Graphics and Design2-1-0-3-
1CE101Introduction to Computing2-1-0-3-
1ME101Basic Mechanics and Thermodynamics3-1-0-4-
2ENG102Engineering Mathematics II3-1-0-4ENG101
2PHY102Modern Physics and Applications3-1-0-4PHY101
2CHE102Organic Chemistry and Materials3-1-0-4CHE101
2EG102Electrical Engineering Fundamentals3-1-0-4-
2CE102Programming for Engineers2-1-0-3CE101
3ENG201Electromagnetic Fields and Waves3-1-0-4ENG102
3PHY201Quantum Physics and Applications3-1-0-4PHY102
3CHE201Physical Chemistry and Electrochemistry3-1-0-4CHE102
3EG201Circuit Theory and Analysis3-1-0-4EG102
3CE201Data Structures and Algorithms2-1-0-3CE102
4ENG202Signals and Systems3-1-0-4ENG201
4PHY202Optical Physics and Lasers3-1-0-4PHY201
4CHE202Chemical Process Engineering3-1-0-4CHE201
4EG202Electronics Devices and Circuits3-1-0-4EG201
4CE202Object-Oriented Programming with C++2-1-0-3CE201
5ENG301Power Systems Analysis3-1-0-4EG202
5PHY301Nuclear Physics and Applications3-1-0-4PHY202
5CHE301Biotechnology and Biochemistry3-1-0-4CHE202
5EG301Control Systems Engineering3-1-0-4EG202
5CE301Database Management Systems2-1-0-3CE202
6ENG302Communication Systems3-1-0-4ENG202
6PHY302Condensed Matter Physics3-1-0-4PHY301
6CHE302Industrial Chemistry and Materials3-1-0-4CHE301
6EG302Microprocessors and Embedded Systems3-1-0-4EG301
6CE302Computer Networks2-1-0-3CE301
7ENG401Power Electronics and Drives3-1-0-4ENG301
7PHY401Quantum Computing Concepts3-1-0-4PHY302
7CHE401Environmental Chemistry and Sustainability3-1-0-4CHE302
7EG401Digital Signal Processing3-1-0-4ENG202
7CE401Software Engineering2-1-0-3CE302
8ENG402Advanced Topics in Electrical Engineering3-1-0-4EG401
8PHY402Biophysics and Medical Imaging3-1-0-4PHY401
8CHE402Green Chemistry and Sustainable Processes3-1-0-4CHE401
8EG402Capstone Project2-2-0-4EG401
8CE402Project Management and Entrepreneurship2-1-0-3CE401

Beyond the core curriculum, students can choose from a range of advanced departmental electives that deepen their expertise in specialized areas:

  • Advanced Power Electronics: This course covers high-frequency converters, resonant converters, and switching power supplies. Students learn to design and analyze complex power electronic systems using simulation tools like MATLAB/Simulink.
  • Renewable Energy Systems: Focused on solar, wind, hydroelectric, and geothermal energy sources, this course explores grid integration, energy storage technologies, and policy frameworks governing renewable energy deployment.
  • Machine Learning for Electrical Applications: This elective introduces students to neural networks, deep learning algorithms, and their applications in power systems optimization, signal processing, and control engineering.
  • Smart Grid Technologies: Students study advanced metering infrastructure (AMI), demand response programs, and distributed energy resources (DERs). The course includes hands-on simulations of grid stability and cybersecurity.
  • Embedded System Design: This course teaches students to design real-time systems using microcontrollers, RTOS, and embedded software development. Practical components include building prototypes for IoT devices and industrial automation.
  • Digital Image Processing: Covering image enhancement, restoration, segmentation, and feature extraction techniques, this course prepares students for careers in computer vision, medical imaging, and robotics.
  • Control Systems with MATLAB: This elective provides practical experience in designing and simulating control systems using MATLAB. Topics include state-space methods, PID controllers, and system identification.
  • Wireless Communication Systems: Students learn about modulation techniques, channel coding, multiple access schemes, and 5G/6G technologies. The course includes lab work involving RF signal analysis and simulation of wireless networks.
  • Optical Fiber Communications: This course explores the principles of optical fiber transmission, wavelength division multiplexing (WDM), and photonic devices. Students conduct experiments on fiber optic link design and testing.
  • Electromagnetic Compatibility and Interference: Focused on EMC standards and techniques for mitigating electromagnetic interference in electronic systems, this course includes both theoretical analysis and practical lab sessions.

The department's philosophy on project-based learning emphasizes hands-on experience from the very beginning of a student's academic journey. Mini-projects are introduced in the second year, where students work in teams to solve real-world engineering problems using available resources and tools. These projects are evaluated based on creativity, technical execution, documentation, and presentation skills.

The final-year capstone project is a significant milestone that allows students to apply their accumulated knowledge to a comprehensive engineering challenge. Students select projects from a list of industry-sponsored problems or propose their own ideas after consulting with faculty mentors. The process includes initial concept development, literature review, design phase, prototyping, testing, and documentation.

Faculty mentors are assigned based on project relevance and the mentor’s expertise in the selected domain. Each student is expected to maintain regular communication with their mentor throughout the project duration, submitting progress reports and undergoing periodic evaluations. The final submission includes a detailed report, a working prototype, and a presentation to a panel of experts.