Electrical Engineering Curriculum at Pragjyotishpur University Kamrup

The Electrical Engineering curriculum at Pragjyotishpur University Kamrup is designed to provide students with a comprehensive and progressive educational experience that builds upon foundational knowledge and prepares them for advanced specialization. The program spans four academic years and includes a carefully structured sequence of core subjects, departmental electives, science electives, and laboratory courses.

Year One: Foundation Building

The first year of the Electrical Engineering program focuses on establishing a strong foundation in mathematics, physics, and basic engineering principles. This foundational year is crucial for developing the analytical skills and conceptual understanding necessary for advanced study in electrical engineering.

First Semester Courses

Second Semester Courses

Year Two: Core Engineering Concepts

The second year of the program delves deeper into core engineering subjects and builds upon the foundational knowledge acquired in the first year. Students are introduced to more advanced concepts in electrical engineering while continuing to develop their analytical and problem-solving skills.

Third Semester Courses

Fourth Semester Courses

Year Three: Specialization and Application

The third year of the program introduces students to advanced topics in electrical engineering with a focus on specialization. Students are encouraged to explore their interests through departmental electives and begin working on projects that apply theoretical knowledge to practical problems.

Fifth Semester Courses

Sixth Semester Courses

Year Four: Capstone and Advanced Applications

The final year of the program is dedicated to capstone projects and advanced applications of electrical engineering principles. Students work on comprehensive projects that integrate knowledge from all previous years and address complex, real-world problems in their chosen specialization area.

Seventh Semester Courses

Eighth Semester Courses

Advanced Departmental Elective Courses

The department offers a range of advanced departmental elective courses that allow students to specialize in specific areas of interest. These courses are designed to provide in-depth knowledge and practical skills in emerging technologies.

Advanced Control Systems

This course provides an in-depth study of modern control theory, including state-space methods, optimal control, and robust control. Students learn to design and analyze complex control systems for various applications, including robotics, aerospace, and industrial processes. The course emphasizes both theoretical concepts and practical implementation through laboratory sessions.

Renewable Energy Systems

This course focuses on the design and analysis of renewable energy systems, including solar, wind, hydroelectric, and biomass technologies. Students study the principles of energy conversion, system integration, and grid connection of renewable sources. The course includes hands-on laboratory work with real-world renewable energy systems.

Embedded Systems Design

This course covers the design and implementation of embedded systems for various applications, including IoT devices, microcontroller-based systems, and smart devices. Students learn about hardware-software integration, real-time operating systems, and system-on-chip design. The course includes project work involving practical embedded system development.

Digital Signal Processing

This course provides comprehensive coverage of digital signal processing techniques, including sampling theory, discrete-time signals and systems, and digital filter design. Students learn to implement signal processing algorithms using software tools such as MATLAB and Python. The course includes laboratory sessions on practical signal processing applications.

Optical Fiber Communications

This course explores the principles and applications of optical fiber communication systems, including transmission media, optical sources and detectors, and system design. Students study the advantages and limitations of fiber optic technologies and learn to analyze and design communication networks using fiber optics.

Power Electronics and Drives

This course covers the analysis and design of power electronic converters and motor drives. Students study various topologies of power converters, including rectifiers, inverters, and DC-DC converters, and their applications in electric drives and renewable energy systems.

Robotics and Automation

This course introduces students to the principles and applications of robotics and automation systems. Topics include robot kinematics, dynamics, control systems, sensor integration, and industrial automation. Students work on projects involving robotic design and implementation.

Wireless Communication Systems

This course covers the fundamentals of wireless communication, including modulation techniques, multiple access methods, and network protocols. Students study modern wireless technologies such as 5G, Wi-Fi, and Bluetooth, and learn to analyze and design wireless communication systems.

Signal Processing for Machine Learning

This course explores the intersection of signal processing and machine learning, focusing on applications in audio processing, image analysis, and pattern recognition. Students learn to apply signal processing techniques to extract features for machine learning algorithms and develop hybrid systems that combine both approaches.

Power System Protection

This course focuses on the principles and practices of power system protection, including fault analysis, relay settings, and protective equipment design. Students study the design and implementation of protection schemes for electrical power systems to ensure reliable and safe operation.

Smart Grid Technologies

This course covers the emerging technologies in smart grid systems, including advanced metering infrastructure, demand response systems, and integration of distributed generation sources. Students learn about grid stability analysis, energy storage systems, and smart grid communication protocols.

Industrial Automation and Control

This course provides an overview of industrial automation systems, including programmable logic controllers (PLCs), human-machine interfaces (HMIs), and distributed control systems. Students study the design and implementation of automation solutions for manufacturing processes and industrial applications.

VLSI Design

This course covers the principles and practices of very large scale integration (VLSI) design, including logic synthesis, physical design, and verification techniques. Students learn to design integrated circuits using modern CAD tools and understand the challenges in nanoscale circuit design.

Internet of Things (IoT) Applications

This course explores the applications of IoT technologies in various domains, including smart cities, agriculture, healthcare, and manufacturing. Students study sensor networks, data communication protocols, and cloud computing platforms for IoT applications.

Advanced Power System Analysis

This course provides advanced treatment of power system analysis, including stability analysis, load flow studies, and optimal power flow. Students learn to model and simulate complex power systems using advanced software tools and develop solutions for system planning and operation.

Project-Based Learning Philosophy

The department's philosophy on project-based learning is rooted in the belief that students learn best when they are actively engaged in solving real-world problems. This approach emphasizes hands-on experience, critical thinking, and collaborative work while connecting theoretical concepts to practical applications.

Mini-Projects Structure

Mini-projects are an integral part of the Electrical Engineering curriculum and begin in the third year. These projects are designed to be completed within a semester and provide students with opportunities to apply their knowledge to specific problems or challenges. Each mini-project is assigned by faculty members based on their research interests and industry requirements.

The typical structure of a mini-project includes problem identification, literature review, design and development, implementation, testing, and documentation. Students work in teams of 3-5 members and are mentored by faculty advisors throughout the project lifecycle.

Final-Year Thesis/Capstone Project

The final-year thesis or capstone project is the culmination of the Electrical Engineering program and represents a significant research or design effort. This project allows students to demonstrate their mastery of the field and contribute to knowledge or practical solutions in electrical engineering.

Students begin working on their final projects in the seventh semester, selecting topics under the guidance of faculty mentors. The projects are typically more complex and require advanced technical skills, extensive research, and innovative solutions. The final project involves a comprehensive report, oral presentation, and demonstration to a panel of faculty members and industry experts.

Project Selection Process

The process of selecting projects for mini-projects and final-year thesis involves several steps to ensure that students are matched with appropriate topics and mentors:

• Faculty members propose project ideas based on their research interests and current industry needs
• Students express interest in specific projects through a preference form
• Projects are assigned based on student preferences, academic performance, and mentor availability
• Each student is paired with a faculty advisor who provides guidance throughout the project period
• Regular progress reviews and milestone assessments ensure that projects stay on track

Evaluation Criteria

The evaluation of projects is based on multiple criteria to ensure comprehensive assessment of student performance:

• Technical content and depth of understanding (30%)
• Problem-solving approach and innovation (25%)
• Implementation and experimental results (20%)
• Documentation and presentation quality (15%)
• Teamwork and collaboration (10%)

This evaluation framework encourages students to develop not only technical expertise but also critical thinking, communication skills, and professional responsibility.