EE 2002 - Circuit Theory II - Course Information

Basic Information

Course Code:

EE 2002

Course Name:

Circuit Theory II

Language of Instruction:

English

Course Type:

Class

Course Level:

Bachelor

ECTS:

4.00

Instructor:

Dr. Öğr. Üyesi Murat SERHATLIOĞLU

Course Objectives

The course covers advanced circuit analysis techniques and composed of two parts. The first part focuses on AC circuits and examines basic circuit elements, op amps with AC sources. AC power is analyzed. Three phase circuits, balanced and unbalanced systems are analyzed in this part. Frequency responses of circuits are studied and active/passive filters are introduced. The second part examines Laplace and Fourier transforms and studies their applications in circuit analysis. Two port networks are also studied.

Course Content

Phasors, Sinusoidal analysis, ac power, three phase systems, magnetically coupled circuits, frequency response, Laplace transform, Passive and Active filter circuits, bode diagrams

Prerequisites / Corequisites

Students should have passed EE 2001 Circuit Theory 1 class/Students should take this course along with EE 2004 Circuit Theory 2 Laboratory

Course Books / Materials / Recommended Resources

1. Nilsson and Riedel, Electric Circuits, Pearson, 2023.2. Nahvi and Edminister, Electric Circuits, Schaum’s Series, McGraw Hill, 2018.3. Alexander, Sadiku, Fundamentals of Electric Circuits, McGraw Hill, 2013.4. Chua, Desoer, Kuh, Linear and Nonlinear Circuits, McGraw Hill, 1987.

Learning Outcomes

Code	Description
LO1	Apply circuit analysis techniques and theorems to ac circuits.
LO2	Use phasors in AC circuit analysis
LO3	Analyze AC circuits containing op amps and three phase systems
LO4	Use transfer functions and bode plots for circuit analysis
LO5	Explain and apply Laplace transforms in circuit analysis
LO6	Design and implement AC circuits

Weekly Course Content

Week	Content
1	Sinusoidal steady-state analysis, phasors
2	Phasor relationships for circuit elements
3	Steady state analysis, node and mesh analysis, circuit theorems
4	Magnetically coupled circuits
5	Introduction to AC power
6	Applications of AC power analysis
7	Three phase circuits
8	Laplace transformation and properties
9	Application of Laplace transformation to circuit analysis
10	Frequency response, transfer functions
11	Passive filter circuits
12	Active filter circuits
13	Bode plots
14	Group project presentations

Workload Calculation

Activity	Count	Duration (Hours)	Total
Attendance	14	4.00	56.00
Pre-Class Individual Study	14	2.00	28.00
Midterm Exam/Preparation	1	6.00	6.00
Final Exam/Preparation	1	14.00	14.00
Quiz Preparation	1	8.00	8.00
Homework	14	1.00	14.00
Research Presentation	1	1.00	1.00
Total Workload (Hours)			127
ECTS Credit (Workload / 25)			4

Assessment

#	Assessment Type	Contribution (%)
1	Midterm Exam	%25
2	Quiz	%10
3	Quiz	%10
4	Research Presentation	%5
5	Final Exam	%50
TOTAL		%100

PO - LO Matrix

PO \ LO	LO1	LO2	LO3	LO4	LO5	LO6
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11

1

Low Contribution

2

Medium Contribution

3

High Contribution

Teaching and Learning Methods

#	Method Name	Description	Tools
1	Lecture (expository teaching), interactive discussion	Listening and taking notes.	Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2	Group Work	Students determine the slope and cross-sectional geometric characteristics of a parabolic irrigation canal on campus, plot the flow rate curve at different sections of the canal, and submit a report.	Land surveying instruments
3	Homework	Solving and analyzing homework questions using a computer and Excel.	Computer
4	Problem Solving	* Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
5	Seminar	Research – lifelong learning, writing, reading, IT, listening and comprehension, managerial skills	Standard classroom technologies, multimedia tools, projector, computer, overhead projector, special equipment

Academic Integrity and Artificial Intelligence

Students are expected to comply with the principles of academic integrity throughout this course. Cheating, plagiarism, presenting others’ work as one’s own, and unauthorized collaboration are strictly prohibited. All assignments, projects, and exam submissions must reflect the student’s own original work. Generative artificial intelligence tools may be used only as supportive learning tools. Students are allowed to use such tools to better understand concepts, explore alternative solution methods, or check their own work. However, directly copying or submitting AI-generated content as one’s own work constitutes a violation of academic integrity. Students are required to clearly disclose any use of AI tools in their work. The final solutions, analyses, and interpretations must be produced by the student. Any violations will be handled in accordance with the university’s academic ethics regulations.

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