Comprehensive Course Structure
The Electrical Engineering program at Duke International University Namchi is structured over 8 semesters with a carefully curated combination of core courses, departmental electives, science electives, and laboratory components.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | EE101 | Engineering Mathematics I | 3-1-0-4 | - |
| I | EE102 | Physics for Engineers | 3-1-0-4 | - |
| I | EE103 | Introduction to Electrical Engineering | 2-0-0-2 | - |
| I | EE104 | Programming for Engineers | 2-0-2-3 | - |
| I | EE105 | Basic Circuit Analysis | 3-1-0-4 | - |
| I | EE106 | Engineering Graphics | 2-0-0-2 | - |
| I | EE107 | Workshop Practice I | 0-0-3-1 | - |
| II | EE201 | Engineering Mathematics II | 3-1-0-4 | EE101 |
| II | EE202 | Electromagnetic Fields and Waves | 3-1-0-4 | EE102 |
| II | EE203 | Network Analysis | 3-1-0-4 | EE105 |
| II | EE204 | Signals and Systems | 3-1-0-4 | EE101 |
| II | EE205 | Electronic Devices and Circuits | 3-1-0-4 | EE105 |
| II | EE206 | Workshop Practice II | 0-0-3-1 | EE107 |
| III | EE301 | Electrical Machines I | 3-1-0-4 | EE203 |
| III | EE302 | Control Systems | 3-1-0-4 | EE204 |
| III | EE303 | Digital Electronics | 3-1-0-4 | EE205 |
| III | EE304 | Power Electronics | 3-1-0-4 | EE205 |
| III | EE305 | Electromagnetic Compatibility | 3-1-0-4 | EE202 |
| III | EE306 | Advanced Workshop Practice | 0-0-3-1 | EE206 |
| IV | EE401 | Electrical Machines II | 3-1-0-4 | EE301 |
| IV | EE402 | Communication Systems | 3-1-0-4 | EE204 |
| IV | EE403 | Digital Signal Processing | 3-1-0-4 | EE204 |
| IV | EE404 | Microprocessor and Microcontroller | 3-1-0-4 | EE303 |
| IV | EE405 | Electrical Power Systems | 3-1-0-4 | EE301 |
| IV | EE406 | Laboratory I | 0-0-6-2 | - |
| V | EE501 | Renewable Energy Systems | 3-1-0-4 | EE301 |
| V | EE502 | Advanced Control Systems | 3-1-0-4 | EE302 |
| V | EE503 | Antennas and Wave Propagation | 3-1-0-4 | EE202 |
| V | EE504 | Embedded Systems Design | 3-1-0-4 | EE404 |
| V | EE505 | Power System Protection | 3-1-0-4 | EE405 |
| V | EE506 | Laboratory II | 0-0-6-2 | - |
| VI | EE601 | Smart Grid Technologies | 3-1-0-4 | EE505 |
| VI | EE602 | Artificial Intelligence in Electrical Engineering | 3-1-0-4 | EE403 |
| VI | EE603 | VLSI Design | 3-1-0-4 | EE303 |
| VI | EE604 | Biomedical Instrumentation | 3-1-0-4 | EE205 |
| VI | EE605 | Energy Storage Systems | 3-1-0-4 | EE501 |
| VI | EE606 | Laboratory III | 0-0-6-2 | - |
| VII | EE701 | Research Project I | 0-0-9-3 | EE506, EE606 |
| VIII | EE801 | Final Year Thesis | 0-0-12-6 | EE701 |
Detailed Departmental Elective Courses
Renewable Energy Systems (EE501): This course explores the principles and applications of solar, wind, hydroelectric, and geothermal energy systems. Students learn about grid integration, energy storage solutions, and environmental impact assessment.
Advanced Control Systems (EE502): Focuses on modern control theory including state-space representation, optimal control, robust control, and nonlinear control strategies. Applications in aerospace, automotive, and industrial automation are emphasized.
Antennas and Wave Propagation (EE503): Covers antenna design fundamentals, radiation patterns, impedance matching, and propagation characteristics of electromagnetic waves in various media.
Embedded Systems Design (EE504): Teaches the design and implementation of embedded systems using microcontrollers and real-time operating systems. Topics include hardware-software co-design, interrupt handling, and system integration.
Power System Protection (EE505): Provides in-depth knowledge of protective relaying schemes, fault analysis, and protection coordination in power systems.
Smart Grid Technologies (EE601): Examines the evolution from conventional grids to smart grids, covering topics such as demand response, distributed generation, and intelligent control mechanisms.
Artificial Intelligence in Electrical Engineering (EE602): Integrates AI concepts with electrical engineering principles to solve complex problems in areas like predictive maintenance, fault detection, and optimization.
VLSI Design (EE603): Delivers comprehensive coverage of very large-scale integration design methodologies, including logic synthesis, layout design, and testing strategies for integrated circuits.
Biomedical Instrumentation (EE604): Focuses on designing instruments and systems for medical applications, including physiological signal processing, imaging technologies, and patient monitoring devices.
Energy Storage Systems (EE605): Addresses the design, modeling, and optimization of battery systems, supercapacitors, and other energy storage technologies for grid stability and renewable integration.
Project-Based Learning Philosophy
The department believes in fostering innovation through project-based learning. Students are required to complete two major projects: one during their third year (mini-project) and another during their final year (thesis/capstone project).
Mini-Projects (Semester V): These projects allow students to apply theoretical knowledge to real-world scenarios under faculty supervision. Projects can be individual or team-based, focusing on problem-solving within specific engineering domains.
Final-Year Thesis/Capstone Project: This is a significant undertaking that integrates all learned concepts into a comprehensive solution. Students select projects aligned with their interests and career goals, working closely with faculty mentors who guide them through the research process from literature review to implementation and presentation.
The evaluation criteria for these projects include technical depth, creativity, teamwork, documentation quality, and oral presentations. Faculty members assess student progress throughout the project lifecycle, ensuring academic rigor while encouraging innovative thinking.