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+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Electrical Engineering

Roorkee Institute Of Technology
Duration
4 Years
Electrical UG OFFLINE

Duration

4 Years

Electrical Engineering

Roorkee Institute Of Technology
Duration
Apply

Fees

₹8,00,000

Placement

96.0%

Avg Package

₹5,80,000

Highest Package

₹11,50,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Electrical
UG
OFFLINE

Fees

₹8,00,000

Placement

96.0%

Avg Package

₹5,80,000

Highest Package

₹11,50,000

Seats

120

Students

1,200

ApplyCollege

Seats

120

Students

1,200

Curriculum

Curriculum

The Electrical Engineering curriculum at Roorkee Institute Of Technology is meticulously designed to provide students with a robust foundation in both fundamental and advanced concepts. The program spans eight semesters, with each semester structured to build upon the previous one while introducing specialized knowledge areas.

Course Structure Overview

Each semester includes a mix of core courses, departmental electives, science electives, and laboratory sessions. The typical credit structure for each course is L-T-P-C, where L represents lecture hours, T represents tutorial hours, P represents practical hours, and C represents credit points.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Pre-requisites
1MATH101Calculus I3-1-0-4-
1MATH102Linear Algebra and Differential Equations3-1-0-4-
1PHYS101Physics for Engineers3-1-0-4-
1ENGR101Introduction to Engineering2-0-0-2-
1CSE101Programming Fundamentals2-0-2-3-
2MATH201Calculus II3-1-0-4MATH101
2MATH202Probability and Statistics3-1-0-4MATH101
2PHYS201Modern Physics3-1-0-4PHYS101
2ENGR201Engineering Mechanics3-1-0-4-
2CSE201Data Structures and Algorithms3-0-2-4CSE101
3ELEC301Basic Electrical Circuits3-1-0-4MATH101, PHYS101
3ELEC302Analog Electronics I3-1-0-4ELEC301
3MATH301Transform Methods3-1-0-4MATH201
3ENGR301Material Science3-1-0-4-
3ELEC303Signals and Systems3-1-0-4MATH201, ELEC301
4ELEC401Digital Electronics I3-1-0-4ELEC302
4ELEC402Electromagnetic Fields3-1-0-4MATH201, PHYS201
4ELEC403Network Analysis3-1-0-4ELEC301
4MATH401Complex Variables and Partial Differential Equations3-1-0-4MATH201
4ENGR401Thermodynamics3-1-0-4-
5ELEC501Power Systems I3-1-0-4ELEC301, ELEC403
5ELEC502Control Systems I3-1-0-4ELEC303, MATH301
5ELEC503Analog Electronics II3-1-0-4ELEC302
5ELEC504Digital Electronics II3-1-0-4ELEC401
5ELEC505Electrical Machines I3-1-0-4ELEC301
6ELEC601Power Systems II3-1-0-4ELEC501
6ELEC602Control Systems II3-1-0-4ELEC502
6ELEC603Communication Systems3-1-0-4ELEC303
6ELEC604Microprocessors and Microcontrollers3-1-0-4ELEC401, CSE201
6ELEC605Electrical Machines II3-1-0-4ELEC505
7ELEC701Power Electronics and Drives3-1-0-4ELEC601, ELEC503
7ELEC702Renewable Energy Systems3-1-0-4ELEC501
7ELEC703Advanced Control Systems3-1-0-4ELEC602
7ELEC704Embedded Systems3-1-0-4ELEC604, CSE201
7ELEC705Electromagnetic Compatibility3-1-0-4ELEC402
8ELEC801Project Management and Ethics2-0-0-2-
8ELEC802Final Year Project0-0-6-6All previous courses
8ELEC803Industrial Training0-0-0-2-
8ELEC804Capstone Design Project0-0-6-6All previous courses
8ELEC805Special Topics in Electrical Engineering3-1-0-4-

Advanced Departmental Electives

The department offers a wide range of advanced departmental electives to cater to diverse interests and career paths:

  • Power Electronics and Drives: This course delves into the design and application of power electronic converters, motor drives, and energy conversion systems. Students learn to analyze and design circuits for industrial applications such as electric vehicle propulsion, renewable energy integration, and power quality improvement.
  • Renewable Energy Systems: This course explores solar, wind, hydroelectric, and biomass energy technologies. It covers energy storage systems, grid integration challenges, and the economic aspects of renewable energy deployment. Students gain hands-on experience with real-world systems through laboratory experiments and field visits.
  • Advanced Control Systems: Building on fundamental control theory, this course introduces modern control techniques such as state-space methods, optimal control, and robust control. It emphasizes practical applications in robotics, aerospace systems, and process control.
  • Signal Processing for Engineers: This course covers digital signal processing fundamentals, including sampling theorem, Fourier transforms, filtering techniques, and spectral analysis. Students apply these concepts to audio, image, and biomedical signal processing using MATLAB and Python.
  • Embedded Systems Design: Focusing on microcontroller-based systems, this course teaches students how to design and implement embedded software and hardware solutions. Topics include real-time operating systems, device drivers, communication protocols, and IoT applications.
  • Power System Protection: This course provides in-depth knowledge of protection schemes for power systems, including relays, circuit breakers, and fault analysis techniques. Students learn to design and evaluate protection systems using industry-standard tools.
  • Wireless Communication Systems: Covering the principles of wireless communication, this course discusses modulation techniques, multiple access methods, error correction codes, and modern wireless standards such as 5G. Practical sessions involve simulation and testing of wireless networks.
  • Machine Learning for Electrical Engineers: This interdisciplinary course bridges electrical engineering with artificial intelligence and machine learning. Students learn to apply ML algorithms to solve problems in power systems, signal processing, and control systems.
  • Smart Grid Technologies: This course explores the integration of renewable energy sources, smart meters, demand response systems, and grid automation technologies. It addresses challenges such as grid stability, cybersecurity, and sustainable energy management.
  • Electromagnetic Compatibility (EMC): This course focuses on electromagnetic interference, immunity, and compliance testing. Students learn to design systems that meet EMC standards and perform EMC testing using industry-standard equipment.

Project-Based Learning Philosophy

The department's philosophy on project-based learning is centered around the principle that real-world problem-solving skills are best developed through hands-on experience. The curriculum incorporates mandatory mini-projects in the second and third years, followed by a comprehensive final-year thesis or capstone project.

Mini-projects are designed to reinforce classroom learning while encouraging creativity and innovation. Students work in teams to tackle open-ended problems that simulate real-world engineering challenges. These projects often involve collaboration with industry partners, providing students with exposure to actual market demands and professional environments.

The final-year capstone project is a significant undertaking that requires students to demonstrate mastery of their chosen specialization area. Students select projects based on their interests and career goals, working closely with faculty mentors who guide them through the research and implementation phases. The project scope can range from developing a prototype for a new product to conducting an in-depth analysis of an existing system.

Evaluation criteria for these projects are comprehensive, considering technical merit, innovation, presentation quality, and team collaboration. Students must submit detailed reports, present their work to faculty panels, and defend their findings. This process not only enhances technical skills but also develops communication and leadership abilities essential for professional success.