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Course Structure and Credit Distribution

The Diploma in Electrical Engineering program is structured over 6 semesters, with a total duration of three years. Each semester consists of core subjects, departmental electives, science electives, laboratory courses, and project-based learning components.

Advanced Departmental Elective Courses

Departmental electives in the Diploma in Electrical Engineering program provide students with specialized knowledge in emerging areas of the field. These courses are designed to align with current industry trends and prepare students for advanced career opportunities.

Renewable Energy Systems

This course delves into the principles and applications of renewable energy technologies, including solar photovoltaic systems, wind turbines, hydroelectric power generation, and biomass conversion. Students learn about grid integration, energy storage systems, and environmental impact assessment of renewable installations.

The learning objectives include understanding the physics behind various renewable energy sources, designing hybrid systems for specific applications, evaluating economic feasibility of renewable projects, and analyzing regulatory frameworks governing renewable energy adoption. This course equips students with practical skills needed to work in the growing renewable energy sector.

Embedded Systems

Embedded systems form the backbone of modern electronic devices, from smartphones to industrial control units. This elective course covers microcontroller architectures, real-time operating systems, hardware-software co-design, and programming techniques for embedded applications.

Students are introduced to popular development platforms such as ARM Cortex-M series, ESP-IDF framework, and Arduino-based systems. Practical assignments involve designing and implementing embedded solutions for various applications including IoT devices, robotics, and smart sensors.

Advanced Control Systems

This course builds upon fundamental control theory by introducing modern control techniques such as state-space representation, optimal control, and robust control. Students explore nonlinear systems, adaptive control strategies, and computer-aided control system design tools.

The learning objectives include mastering mathematical modeling of dynamic systems, applying advanced control algorithms, simulating control systems using MATLAB/Simulink, and designing controllers for complex industrial processes. This course prepares students for roles in automation, robotics, and process control engineering.

Power Quality and Protection

This elective focuses on maintaining high-quality electrical power supply through effective protection schemes and power quality improvement techniques. Students learn about harmonic analysis, voltage regulation, power factor correction, and fault detection methodologies.

The course covers industry standards such as IEEE 519 for harmonic control and IEC 61000 for electromagnetic compatibility. Practical components include analyzing real-world power quality issues, designing protective relays, and implementing power quality improvement devices in industrial settings.

Smart Grid Technologies

Smart grids represent the evolution of traditional electrical grids with digital communication technologies, real-time monitoring capabilities, and intelligent decision-making systems. This course explores grid modernization strategies, demand response programs, energy storage integration, and cybersecurity in power systems.

Students are exposed to concepts such as distributed generation, microgrids, energy management systems, and smart metering technologies. The course emphasizes practical applications through case studies of smart grid implementations in different countries and simulations using specialized software tools.

Industrial Electronics

This elective focuses on electronic systems used in industrial environments, including programmable logic controllers (PLCs), sensors, actuators, and process control instruments. Students gain hands-on experience with industrial electronics components and learn to design control systems for manufacturing processes.

The learning objectives include understanding industrial communication protocols, programming PLCs for automation tasks, selecting appropriate sensors and actuators for specific applications, and troubleshooting industrial electronic systems. This course prepares students for roles in process industries and manufacturing companies.

Microprocessors and Microcontrollers

This course provides comprehensive coverage of microprocessor architecture, instruction set design, assembly language programming, and embedded system development using microcontroller platforms. Students learn to interface various peripherals with microprocessors and develop applications for real-time systems.

The curriculum covers 8-bit, 16-bit, and 32-bit architectures including ARM, MIPS, and x86 processors. Practical components involve building projects such as digital clock controllers, sensor data acquisition systems, and home automation devices using popular development boards like Arduino, Raspberry Pi, and STM32.

Communication Systems

This course explores the fundamentals of analog and digital communication systems, including modulation techniques, multiplexing methods, error detection and correction, and modern wireless communication technologies. Students learn to analyze and design communication links for various applications.

The learning objectives include understanding signal transmission principles, implementing digital communication schemes, analyzing noise effects in communication systems, and designing communication protocols for specific requirements. This course prepares students for careers in telecommunications, networking, and wireless technology sectors.

Signal Processing

This elective delves into the mathematical techniques used to analyze and manipulate signals in both time and frequency domains. Students learn about discrete-time signal processing, filter design, spectral analysis, and digital signal processing algorithms.

The course covers topics such as convolution, Fourier transforms, Z-transforms, finite impulse response (FIR) filters, infinite impulse response (IIR) filters, and fast Fourier transform (FFT) algorithms. Practical assignments involve implementing signal processing techniques using MATLAB and Python libraries.

Power System Analysis

This course provides a deep understanding of power system behavior under normal and abnormal conditions. Students learn to analyze power flow, perform short-circuit calculations, study stability characteristics, and design protection schemes for electrical networks.

The learning objectives include mastering power system modeling techniques, analyzing load flow problems, performing stability studies, and designing protective relaying systems. This course prepares students for roles in power generation, transmission, and distribution companies.

Project-Based Learning Approach

Project-based learning is a cornerstone of the Diploma in Electrical Engineering program at Shri Vaishnav Polytechnic College. This approach emphasizes active learning where students apply theoretical concepts to solve real-world engineering problems.

The mandatory mini-projects are introduced from the second semester, allowing students to explore different areas of electrical engineering while building foundational skills. These projects are typically completed in groups and involve planning, execution, documentation, and presentation phases.

Each mini-project is assigned a faculty mentor who guides students through the project lifecycle. Students are encouraged to select projects aligned with their interests and career aspirations. The evaluation criteria include technical depth, innovation, presentation quality, teamwork, and adherence to deadlines.

The final-year thesis or capstone project represents the culmination of the program's learning outcomes. Students select a topic in consultation with faculty members, conduct independent research, and develop a complete engineering solution. This project is typically undertaken in collaboration with industry partners, providing students with real-world exposure and potential job opportunities.

Project selection involves a formal process where students submit proposals outlining their objectives, methodology, expected outcomes, and resource requirements. Faculty committees review these proposals and provide feedback to ensure alignment with academic standards and industry relevance.