

EEE113 - Introduction to Electrical Engineering (2024-2025 Fall)
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Course Details​
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Venue: E3, Department Building
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Prerequisites: N/A
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Date&Time: 15:00-16:30 on Tuesdays and 17:00-18:30 on Wednesdays (Fridays for November)
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Textbook:
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​Robert L. Boylestad, Introductory Circuit Analysis: Global Edition, 13th Ed., Pearson Education, 2016.
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James W. Nilsson and Susan A. Riedel, Electric Circuits, 11th Ed., Pearson Education, 2020.
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M. Morris Mano and Michael D. Ciletti, Digital Design: Global Edition, 6th Ed., Pearson, 2019.
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Ethem Alpaydın, Introduction to Machine Learning, 4th Ed., MIT Press, 2020.
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Objectives: To create awareness about the contents of electrical and electronic engineering and to attract the students to the profession.​
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Weekly Schedule
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​Course Introduction and Scope (15-16 October 2024)
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Electrical and Electronic Engineering at a Glance​​
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Department's Divisions (Department Website)
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Course Scope
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IEEE Xplore Digital Library (Link)
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Resume and Curriculum Vitae (Overleaf)
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Introduction to Electrical and Electronic Engineering (22, 23 October 2024)[Boylestad, 2016]
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A Brief History of Electrical and Electronic Engineering
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Systems of Units
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Rounding Off
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Prefixes
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Calculators
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Techniques of Circuit Analysis (30 October - 5 November 2024)[Nilsson and Riedel, 2020]
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Node-Voltage Method​​
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Mesh-Current Method
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Source Transformation
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Techniques of Circuit Analysis (8, 12 November 2024)[Nilsson and Riedel, 2020]
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Thevenin​​ Equivalent Circuit
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Norton Equivalent Circuit
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Maximum Power Transfer
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Superposition
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Operational Amplifiers (15, 19 November 2024)[Nilsson and Riedel, 2020]
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Sensors
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Ideal Op-Amp
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Inverting-Amplifier Circuit
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Summing-Amplifier Circuit
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Noninverting-Amplifier Circuit
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Difference-Amplifier Circuit
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Binary Logic and Boolean Algebra (22,26 November 2024)[Mano and Ciletti, 2019]
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Binary Logic​​
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Basic Theorems and Properties of Boolean Algebra
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Boolean Functions
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Other Logic Operations
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Digital Logic Gates​
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Introduction to Data Science (29 November - 17 December 2024)[Zor, 2024]​​​
- Julia and Pluto
- Python and JupyterLab
- R and RStudio Desktop
- Hands-on Exercises of Data Analytics
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Midterm Examination (3 December 2024)
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Solutions of Midterm Examination (10 - 11 December 2024)
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Introduction to Machine Learning (18 - 24 December 2024)[Alpaydın, 2020]
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Machine Learning
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Supervised Learning, Unsupervised Learning, and Reinforcement Learning
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Classification and Regression
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ANN, SVM, Decision Trees, kNN, and RNN
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Introduction to Turkish Electric Power System and Electricity Markets (25 - 31 December 2024)
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Introduction to Renewable Energy (8 - 14 January 2025)​
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Electrical and Electronic Engineering Ethics (14 - 15 January 2025)
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Exams
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Announcements
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