Department of Electrical and Electronics Engineering

ACADEMICS
Course Details

ELE226 - Circuit Theory II

2024-2025 Fall term information
The course is open this term
Supervisor(s)
Name Surname Position Section
Dr. Yakup Özkazanç Supervisor 1
Weekly Schedule by Sections
Section Day, Hours, Place
1 Wednesday, 13:40 - 16:30, E2

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

ELE226 - Circuit Theory II
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 4
Obligation : Must
Prerequisite courses : ELE203
Concurrent courses : ELE228
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : The course aims at teaching the mathematical modelling and analysis of circuits with a time varying response, and also the power analysis in such circuits.
Learning outcomes : 1. To teach balanced three-phase circuits and associated power calculations 2. To teach the Laplace Transform and, modelling and analyzing dynamical circuits with capacitors and inductors by using Laplace Transform 3. To teach the concept of transfer function and to calculate the output of a system (electrical circuit) using convolution integral 4. To teach to model and design frequency selective circuits and to plot the Bode diagram of a frequency selective circuit 5. To teach to model and design active filter circuits using operational amplifiers
Course content : 1. Balanced three-phase circuits, 2. Introduction to Laplace transform, 3. Laplace transform in circuit analysis, 4. Frequency selective circuits, 5. Bode Diagrams, 6. Active filter circuits.
References : J.W. Nilsson and S.A. Riedel, Electric Circuits, 11th Ed., Pearson, 2020. J. D. Irwin and R. M. Nelms, Basic Engineering Circuit Analysis, 12th Ed., 2020.
Course Outline Weekly
Weeks Topics
1 Balanced three-phase circuits
2 Balanced three-phase circuits
3 Laplace transform, functional and operational transforms
4 Inverse Laplace transform, poles and zeros, Initial- and Final-Value Theorems
5 Laplace transform in circuit analysis (Circuit elements and Circuit Analysis Techniques in the s-Domain)
6 Laplace transform in circuit analysis (Equivalent circuits, superposition), Transfer Function
7 Midterm exam
8 Convolution integral, memory and weighting
9 Impulse function in circuit analysis
10 Frequency selective circuits (High-pass and low-pass filters)
11 Frequency selective circuits (Band-pass and band-reject filters)
12 Bode Diagrams
13 Midterm exam
14 Active filter circuits
15 Preparation for Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 0 0
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 2 50
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 12 3 36
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 2 10 20
Final Exam (Study duration) 1 22 22
Total workload 29 38 120
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Minor Program For Non-departmental Students | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Erasmus+ Program | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering