Subjects at A level

Mathematics
Physics
Computer Science
Chemistry
Technical Drawing/Design

Learning Resources

Research Writing

Academic Writing

Choosing & Applying for University

CV Writing

Navigating Career Path Options

Business School

Interviews

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Description:

Introduction to degree course was developed in response to high dropout and failure rates of university students. The program fully supports successful progression of students from high school to undergraduate study and beyond. This course introduces students to a degree, giving students a frame work and direction in their area of study. We are well aware that if students fail to understand the foundation of the subject they are likely to lose interest in the subject that is why this course was designed to make it easier for students. The course is equipped with most of the learning materials required by students to understand their degree program.

This course was developed in consultation with universities at global. The course is designed to give students a deeper knowledge and understanding of the degree. The course is designed to enhance the creativity and critical thinking skills that are needed by students to develop their own ideas at University standard. Taking students step by step, to simplify and to explain the degree.

The course equips students with the knowledge needed to make an informed decision before starting and during your studies enabling students to plan ahead, minimizing student failure rates. The process makes knowledge transfer easier between students, universities, professionals, employers and research institutes The aim of this course is not just to make learning easier, but also to help put qualification in to use. We understand that most students at Universities fail not because they are “dumb” but, because they don’t get to understand what they are required to do.

Key Modules:

1: Circuit Analysis

This module introduces the fundamental principles of electrical circuits and their analysis. Topics covered include circuit laws (Ohm's law, Kirchhoff's laws), nodal and mesh analysis, circuit theorems (Thevenin's theorem, Norton's theorem), transient and steady-state analysis, and AC circuit analysis.

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2: Electronics

This module focuses on the principles and applications of electronic devices and circuits. Topics covered include diodes, transistors, operational amplifiers, digital logic gates, analog and digital circuits, amplifiers, oscillators, and basic electronic circuit design.

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3: Signals and Systems

This module explores the representation, analysis, and processing of continuous-time and discrete-time signals and systems. Topics covered include signal classification, Fourier series and transforms, Laplace transforms, system properties, convolution, frequency response, and filter design.

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4: Electromagnetics

This module covers the principles of electromagnetic fields and their applications. Topics covered include electrostatics, magnetostatics, electromagnetic waves, transmission lines, antennas, electromagnetic interference, and electromagnetic compatibility.

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5: Power Systems

This module focuses on the generation, transmission, and distribution of electrical power. Topics covered include power system components, power generation technologies, power flow analysis, fault analysis, protection systems, and power system stability.

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6: Control Systems

This module introduces the principles of feedback control systems. Topics covered include modeling of dynamic systems, transfer functions, block diagrams, stability analysis, PID controllers, frequency response analysis, and control system design.

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7: Digital Signal Processing

This module explores the theory and techniques for processing and analyzing digital signals. Topics covered include discrete-time signals and systems, Fourier analysis of discrete-time signals, digital filter design, sampling and reconstruction, and applications of digital signal processing algorithms.

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8: Microprocessors and Microcontrollers

This module focuses on the architecture, programming, and applications of microprocessors and microcontrollers. Topics covered include assembly language programming, interfacing with peripheral devices, memory systems, interrupts, and embedded system design.

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9: Communication Systems

This module covers the principles and technologies used in communication systems. Topics covered include analog and digital modulation techniques, multiplexing, noise and distortion in communication systems, channel coding, wireless communication, and data transmission protocols.

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10: Power Electronics

This module examines the principles and applications of power electronic devices and circuits. Topics covered include power semiconductor devices (such as diodes, transistors, and thyristors), converters (AC-DC, DC-DC, and DC-AC), power factor correction, motor drives, and power electronic applications in renewable energy systems.

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11: Renewable Energy Systems

This module focuses on the principles and technologies used in renewable energy generation and integration. Topics covered include solar energy, wind energy, hydroelectric power, energy storage systems, grid integration, and energy management in renewable energy systems.

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12: Integrated Circuit Design

This module introduces the design and fabrication of integrated circuits. Topics covered include CMOS technology, logic gates, combinational and sequential circuit design, VLSI design methodologies, layout design, testing, and verification.

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13: Digital Systems Design

This module explores the design and implementation of digital systems. Topics covered include digital logic design, combinational and sequential circuit design, programmable logic devices, finite state machines, and hardware description languages (such as VHDL or Verilog).

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14: Programming

This module introduces programming concepts and techniques relevant to electrical engineering. Students learn how to write computer programs to solve engineering problems and automate tasks. The module may cover programming languages such as Python, MATLAB, or C/C++, as well as concepts like algorithm design, data structures, debugging, and software development practices.

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15: Analog and Digital Communications

This module focuses on the principles and techniques used in analog and digital communication systems. Topics covered include modulation techniques, demodulation, multiplexing, channel coding, error control coding, and communication system performance analysis.

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16: Semiconductor Devices and IC Fabrication

This module delves deeper into the principles of semiconductor devices and the fabrication processes used in integrated circuit manufacturing. Topics covered include PN junction diodes, bipolar junction transistors (BJTs), field-effect transistors (FETs), device modeling, fabrication processes, and semiconductor device characterization.

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17: Power System Protection and Relaying

This module explores the principles and practices of protecting power systems from faults and disturbances. Topics covered include fault analysis, protective relaying schemes, protective device coordination, power system grounding, and power system reliability.

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18: Electromagnetic Compatibility

This module examines the design and analysis of electrical and electronic systems to ensure electromagnetic compatibility. Topics covered include electromagnetic interference (EMI), electromagnetic susceptibility, grounding and shielding techniques, electromagnetic compatibility standards, and EMC testing.

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19: Digital Control Systems

This module focuses on the analysis, design, and implementation of digital control systems. Topics covered include discrete-time system modeling, Z-transform analysis, digital controller design, implementation of digital control algorithms, and stability analysis of digital control systems.

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20: Power System Analysis and Optimization

This module delves deeper into the analysis and optimization of power systems. Topics covered include power flow analysis, economic dispatch, optimal power flow, voltage stability analysis, transient stability analysis, and power system control and optimization techniques.

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21: RF and Microwave Engineering

This module explores the principles and applications of radio frequency (RF) and microwave engineering. Topics covered include transmission line theory, passive RF components, microwave network analysis, microwave devices (such as waveguides and resonators), microwave filters, and microwave amplifier design.

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22: Digital Image Processing

This module focuses on the principles and techniques used in digital image processing. Topics covered include image acquisition, image enhancement, image filtering, image transformation, image compression, image segmentation, and image recognition.

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23: Robotics and Automation

This module introduces the principles and applications of robotics and automation systems. Topics covered include robot kinematics and dynamics, robot control, sensors and actuators, robot programming, industrial automation, and robotic applications in various industries.

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24: Power System Planning and Operation

This module examines the planning and operation of power systems to ensure reliable and efficient electricity supply. Topics covered include power system planning, load forecasting, power system economics, energy management systems, renewable energy integration, and smart grid technologies.

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25: Biomedical Engineering

This module introduces the application of engineering principles to the field of medicine and healthcare. Topics covered include medical imaging, biomedical signal processing, medical device design, bioinstrumentation, biomaterials, and physiological modeling.

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26: Mathematics

This module provides a foundation in mathematical concepts and techniques that are essential for understanding and solving problems in electrical engineering. Topics covered include calculus, linear algebra, differential equations, probability theory, and numerical methods. The module emphasizes the application of mathematical principles to electrical engineering problems, such as circuit analysis, signal processing, and control systems.

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27: Electrical Engineering Design

This module focuses on the design process in electrical engineering, including problem formulation, analysis, synthesis, and evaluation. Students learn how to apply engineering principles and techniques to design electrical systems and components. Topics covered include design methodologies, system specification, component selection, reliability analysis, and design optimization. The module may involve hands-on design projects to enhance practical design skills.

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28: Measurement Systems

This module introduces principles and techniques for measuring electrical quantities and signals. Students learn about various measurement techniques, instruments, and sensors used in electrical engineering applications. Topics covered include measurement system components, calibration, error analysis, noise and interference, data acquisition, and signal conditioning. The module may also cover measurement system design and metrology standards.

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29: Machine Learning

This module explores the principles and algorithms of machine learning and their applications in electrical engineering. Students learn about supervised and unsupervised learning techniques, including regression, classification, clustering, and dimensionality reduction. The module covers concepts such as feature extraction, model evaluation, overfitting, and model selection. Applications of machine learning in electrical engineering may include pattern recognition, signal processing, control systems, and power systems.

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30: Data Engineering Principles

This module focuses on the principles and techniques of managing and processing large-scale data in electrical engineering applications. Students learn about data storage, retrieval, and manipulation techniques, as well as data integration and transformation. Topics covered include database systems, data modeling, data warehousing, data preprocessing, and data visualization. The module may also cover distributed data processing, parallel computing, and big data analytics.

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