This repository contains online courses and textbook recommendations that together cover most of the basic Electrical Engineering knowledge.
The "curriculum" is based on my personal experience, but revised to fit into 3 years due to the strong inspiration I got from ETH Zürich's and MIT's curriculums.
The curriculum is split into 2 parts, a mandatory core and several electives. The core aims to cover the basic knowledge every electrical engineer should know (even if you're not a specialist), opening the doors to the more specific knowledge. Some universities allow you to choose a specialisation, focusing on a single part of EE, which is exactly how the 5th and 6th semesters are designed here.
The core is divided into 4 knowledge areas:
- Mathematics: Calculus, Linear Algebra, Statistics, etc.
- Electricity: Electromagnetic Theory, Electric Circuits, Electronics, etc.
- Computing: Boolean Algebra, Logic Circuits, Programming, etc.
- Signals: Signals and Systems, Control Systems, Communications Systems, Digital Signal Processing, etc.
The "Mathematics" subjects are the very first pillars engineers needs to build in order to sustain the rest of our knowledge, you'll need calculus to understand electricity, linear algebra to understand robotics, statistics to understand communications, etc.
The "Electricity" subjects are related to the physical aspects of electromagnetic waves and electronics, which are used in clever ways to build everything else in EE.
The "Computing" subjects cover the logical parts of digital electronics, an area of knowledge that ended up giving birth to IT, CS, CE, etc.
Finally, the "Signals" subjects cover what might be the most unique knowledge in EE, being able to understand what the frequency domain is and how we can design things outside the time-domain. Signals and Systems will lead the way to all knowledge related to control systems, communications systems, computer vision, etc.
Introduction to Electrical Engineering
I strongly recommend checking YouTube videos about electronics, hardware, software, etc. See if they interest you. Recommending a textbook is extremely difficult since what you want is an overview of what EE is all about, but that doesn't mean cool casual books don't exist. Brian Kernighan, the author of the quintessential C language book, wrote something very interesting aimed at people who don't work in the technology field but who'd still want to understand the basics of computing and the digital world. It was never meant to be read by engineering students, but it can be a good introduction since it gives you a showcase of many concepts without delving too deep into technical details.
Recommended book:
Trustworthy resources:
Calculus
Recommended textbooks:
Trustworthy resources:
- Calculus 1A - Differentiation
- Calculus 1B - Integration
- Calculus 1C - Coordinate Systems and Infinite Series
Linear Algebra
Recommended textbook:
Trustworthy resources:
- Introduction to Linear Models and Matrix Algebra
- Linear Algebra: Foundations to Frontiers
- Differential Equations: Linear Algebra and NxN Systems
Boolean Algebra and Logic Circuits
Recommended textbooks:
Trustworthy resources:
Probability Theory and Statistics
Recommended textbooks:
- All of Statistics: A Concise Course in Statistical Inference - Larry Wasserman
- Grinstead and Snell’s Introduction to Probability
Trustworthy resources:
Electricity and Magnetism
Recommended textbooks:
Trustworthy resources:
- Electricity and Magnetism Part 1
- Electricity and Magnetism Part 2
- Electricity and Magnetism: Electrostatics
- Electricity and Magnetism: Fields and Forces
- Electricity and Magnetism: Maxwell Equations
Programming Logic and Algorithms
Recommended textbooks:
- C Programming Language - Brian W. Kernighan, Dennis M. Ritchie
- C Programming A Modern Approach - K. N. King
Trustworthy resources:
Linear Systems and Signals
Recommended textbooks:
- Linear Systems and Signals - Lathi
- Signals and Systems - Alan V. Oppenheim, Alan S. Willsky, with S. Hamid
- Discrete-Time Signal Processing - Alan V. Oppenheim, Ronald W. Schafer
Trustworthy resources:
Numerical Analysis
Trustworthy resources:
- Mathematical Modelling Basics
- Computational Thinking for Modelling and Simulation
- Introduction to Programming with MATLAB
Electric Circuits
Recommended textbooks:
Digital Systems and Computer Architecture
Recommended textbooks:
- Computer Architecture A Quantitative Approach - David A Patterson and John L. Hennessy
- Computer Organization and Design RISC-V Edition: The Hardware Software Interface - David A Patterson and John L. Hennessy
- Digital Design and Computer Architecture - Harris and Harris
- Digital Systems, Global Edition - Tocci
- Digital Design RTL VHDL Verilog - Frank Vahid
- Logic & Computer Design Fundamentals - M. Morris R. Mano, Charles R. Kime, Tom Martin
Trustworthy resources:
Control Systems
Recommended textbooks:
Trustworthy resources:
Power Systems Analysis
Recommended textbooks:
Electric Machines
Recommended textbooks:
Electronics
Recommended textbooks:
Trustworthy resources:
- Circuits and Electronics 2: Amplification, Speed, and Delay
- Circuits and Electronics 3: Applications
- Principle of Semiconductor Devices Part I: Semiconductors, PN Junctions and Bipolar Junction Transistors
- Principle of Semiconductor Devices Part II: Field Effect Transistors and MOSFETs
Communication Systems
Recommended textbooks:
Trustworthy resources:
- A System View of Communications: From Signals to Packets (Part 1)
- A System View of Communications: From Signals to Packets (Part 2)
- A System View of Communications: From Signals to Packets (Part 3)
- IoT Networks and Protocols
This is where the core principles of Electrical Engineering are completely covered. The student should freely choose the remaining subjects based on personal interests and the preferred knowledge area. I won't bother specifying specific courses since by now you're probably used to edx and coursera.
Power Systems Subjects
- Power Systems II
- Power Substations
- Power Protection
Electronics Subjects
- Power Electronics
- Nanoelectronics
- RF Electronics
- Electromagnetic Compatibility
- Semiconductor Physics
- Optoelectronics
Digital Electronics Subjects
- VLSI Design
- Functional Verification
- Design For Testing
- Embedded Systems
Computing Subjects
- Operating Systems
- Machine Learning
- Computer Vision
- Computer Networks
Control Subjects
- Adaptive Control
- Non-Linear Systems
Communications Subjects
- Digital Signal Processing
- Advanced Compression and Coding
- Antennas
- Optical Communications
- Wireless Communications
The following image illustrates the "flow" in which subjects should be studied in order to facilitate them.
