

EEE113 - Introduction to Electrical Engineering (2025-2026 Fall)
Course Details
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Venue: E3, Department Building
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Prerequisites: N/A
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Date&Time: Tuesdays 15:00-16:30 and Wednesdays 17:00-18:30
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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.
Weekly Schedule
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Course Introduction and Scope (23-24 September 2025)
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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 (30 September - 1 October 2025)[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 (7-8 October 2025)[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 (14-15 October 2025)[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 Theorem
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Binary Logic and Boolean Algebra (21-22 October 2025)[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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Public Holiday: Republican Day of Türkiye (28-29 October 2025)
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Introduction to Data Science (4-5 November 2025)[Zor, 2025]
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Python and JupyterLab
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R and RStudio Desktop
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Hands-on Exercises of Data Analytics (nycflights13 package, flights data set)
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Midterm Exam (11 November 2025 )
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Midterm Exam Solutions (18-19 November 2025)
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Introduction to Machine Learning (25 - 26 November 2025)[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 (2 - 3 December 2025)
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Presentation (9 - 10 December 2025)
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Exams
Announcements
