Comprehensive Curriculum Structure
The Electrical Engineering program at Assam Don Bosco University is meticulously structured to ensure a progressive and comprehensive learning experience. The curriculum spans eight semesters, with each semester carefully designed to build upon the previous one while introducing new concepts and applications.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | EE101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | EE102 | Physics for Electrical Engineering | 3-1-0-4 | - |
| 1 | EE103 | Chemistry for Electrical Engineering | 3-1-0-4 | - |
| 1 | EE104 | Basic Electrical Circuits | 3-1-0-4 | - |
| 1 | EE105 | Engineering Graphics | 2-1-0-3 | - |
| 1 | EE106 | Introduction to Programming | 2-0-2-3 | - |
| 2 | EE201 | Engineering Mathematics II | 3-1-0-4 | EE101 |
| 2 | EE202 | Electronic Devices and Circuits | 3-1-0-4 | EE104 |
| 2 | EE203 | Digital Logic Design | 3-1-0-4 | EE104 |
| 2 | EE204 | Circuit Analysis | 3-1-0-4 | EE104 |
| 2 | EE205 | Electromagnetic Fields | 3-1-0-4 | EE102 |
| 2 | EE206 | Lab: Basic Circuits and Electronics | 0-0-3-1 | - |
| 3 | EE301 | Signals and Systems | 3-1-0-4 | EE201, EE204 |
| 3 | EE302 | Control Systems | 3-1-0-4 | EE201, EE204 |
| 3 | EE303 | Power Electronics | 3-1-0-4 | EE202, EE204 |
| 3 | EE304 | Communication Systems | 3-1-0-4 | EE301 |
| 3 | EE305 | Microprocessors and Microcontrollers | 3-1-0-4 | EE203, EE204 |
| 3 | EE306 | Lab: Control and Signal Processing | 0-0-3-1 | - |
| 4 | EE401 | Power Systems | 3-1-0-4 | EE204, EE303 |
| 4 | EE402 | Electrical Machines | 3-1-0-4 | EE202, EE204 |
| 4 | EE403 | Embedded Systems | 3-1-0-4 | EE305 |
| 4 | EE404 | Renewable Energy Systems | 3-1-0-4 | EE301, EE401 |
| 4 | EE405 | Industrial Automation | 3-1-0-4 | EE302, EE303 |
| 4 | EE406 | Lab: Power Systems and Control | 0-0-3-1 | - |
| 5 | EE501 | Advanced Power Electronics | 3-1-0-4 | EE303 |
| 5 | EE502 | Digital Signal Processing | 3-1-0-4 | EE301 |
| 5 | EE503 | Smart Grid Technologies | 3-1-0-4 | EE401, EE402 |
| 5 | EE504 | VLSI Design | 3-1-0-4 | EE203 |
| 5 | EE505 | Electromagnetic Compatibility | 3-1-0-4 | EE205 |
| 5 | EE506 | Lab: Advanced Applications | 0-0-3-1 | - |
| 6 | EE601 | Research Methodology | 2-0-0-2 | - |
| 6 | EE602 | Capstone Project I | 2-0-4-3 | - |
| 6 | EE603 | Special Topics in Electrical Engineering | 3-1-0-4 | - |
| 6 | EE604 | Internship | 0-0-0-6 | - |
| 7 | EE701 | Capstone Project II | 2-0-4-3 | EE602 |
| 7 | EE702 | Elective I | 3-1-0-4 | - |
| 7 | EE703 | Elective II | 3-1-0-4 | - |
| 7 | EE704 | Elective III | 3-1-0-4 | - |
| 7 | EE705 | Professional Ethics and Legal Aspects | 2-0-0-2 | - |
| 8 | EE801 | Final Year Project | 4-0-8-6 | EE701 |
| 8 | EE802 | Elective IV | 3-1-0-4 | - |
| 8 | EE803 | Elective V | 3-1-0-4 | - |
| 8 | EE804 | Industry Interaction and Case Studies | 2-0-0-2 | - |
Detailed Departmental Elective Courses
The department offers several advanced elective courses designed to deepen students' understanding of specialized areas within electrical engineering. These courses are regularly updated based on industry trends and research advancements.
Advanced Power Electronics
This course delves into the design and analysis of high-efficiency power conversion systems, focusing on wide bandgap semiconductors and advanced control strategies. Students learn to model and simulate complex power electronic circuits using MATLAB/Simulink and implement them in real-world applications.
Digital Signal Processing
Students explore the mathematical foundations of digital signal processing, including discrete-time signals, Z-transforms, and Fast Fourier Transform algorithms. The course emphasizes practical implementation through software tools like Python and MATLAB, enabling students to design filters and analyze real-world audio and image data.
Smart Grid Technologies
This elective covers the integration of renewable energy sources into existing power grids, smart metering technologies, demand response systems, and grid stability analysis. Students engage in case studies involving actual smart grid deployments and develop solutions for managing distributed generation.
VLSI Design
Students study the principles of Very Large Scale Integration (VLSI) design, including logic synthesis, layout design, and testing methodologies. The course includes hands-on sessions using industry-standard EDA tools like Cadence and Synopsys, preparing students for careers in semiconductor design.
Electromagnetic Compatibility
This course addresses the challenges of electromagnetic interference (EMI) and compatibility issues in electronic systems. Students learn to analyze EMI sources, design shielding techniques, and comply with international standards such as IEC 61000 series.
Industrial Automation
Focusing on automation technologies used in manufacturing environments, this course introduces Programmable Logic Controllers (PLCs), human-machine interfaces (HMIs), and industrial communication protocols like Modbus and Ethernet/IP. Students complete practical projects involving robotic control and process automation.
Renewable Energy Systems
This elective explores the design and integration of solar, wind, and hydroelectric power systems into national grids. Students study energy storage technologies, grid codes, and policy frameworks related to renewable energy adoption.
Embedded Systems
Students gain in-depth knowledge of microcontroller architectures, real-time operating systems, and embedded software development. The course includes practical sessions using ARM Cortex-M processors and FreeRTOS, preparing students for careers in IoT and embedded software engineering.
Control Systems
This advanced course covers modern control theory, including state-space methods, optimal control, and robust control design. Students learn to apply control techniques to complex systems such as aerospace vehicles and industrial processes.
Power Systems
Students analyze the operation and planning of power systems, covering topics like load flow analysis, fault calculation, and system stability. The course includes simulations using industry-standard tools like ETAP and PowerWorld.
Project-Based Learning Philosophy
The department strongly advocates for project-based learning as a core component of the educational experience. Mini-projects begin in the second year, with students working in small teams to solve real-world problems under faculty supervision. These projects typically span one semester and involve research, design, simulation, and prototyping phases.
Mini-project topics range from developing an energy-efficient lighting system to designing a smart irrigation controller. Each project is assessed based on innovation, technical execution, presentation quality, and teamwork effectiveness. The department provides funding for materials and software licenses, ensuring that all students can participate regardless of financial constraints.
The final-year thesis or capstone project is a significant milestone in the program. Students select projects aligned with their interests and career goals, often in collaboration with industry partners. Projects are supervised by faculty mentors who guide students through literature review, methodology selection, experimental design, data analysis, and report writing. The final presentation is evaluated by an external panel of experts, ensuring that students demonstrate mastery of their chosen domain.