Course Details

ELE203 - Circuit Theory I

2023-2024 Summer term information
The course is not open this term
ELE203 - Circuit Theory I
Program Theoretýcal hours Practical hours Local credit ECTS credit
Undergraduate 4 0 4 6
Obligation : Must
Prerequisite courses : ELE110
Concurrent courses : ELE205
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 : Know the operation of operational amplifier, mathematically model and analyse circuits with operational amplifiers, Model and analyse dynamical circuits with capacitors and inductors by using differential equations, and perform power analysis in such circuits, Predict the form of the response of a differential equation and solve that equation depending on his prior knowledge and also the mathematical content given during the course, Apply the concepts and analysis techniques he learnt in this course to other courses and also to systems encountered in practice.
Course content : 1. Revision of circuit analysis tehcniques, 2. Topological techniques in circuit analysis, 3. Operational Amlifiers, 4. Capacitance, inductance and mutual inductance, 5. Response of first order RL and RC circuits, 6. Natural and step responses of RLC circuits, 7. Sinusoidal Steady State analysis, 8. Sinusoidal Steady State power analysis, 9. Balanced three phase circuits.
References : Nilsson and Riedel, Electric Circuits, 9. baský, Pearson, Prentice Hall, 2011; L.O. Chua, C.A. Desoer and E.S. Kuh, Linear and Nonlinear Circuits, McGraw Hill, 1987; C.A. Desoer and E.S. Kuh, Basic Circuit Theory, McGraw Hill, 1969; R.Dorf and J.A. Svoboda, Introduction to Electric Circuits, 3rd Ed., John Wiley, 1996; W.H. Hayt and J.E. Kimmerly, Engineering Circuit Analysis, 5th Ed., Mc.Graw Hill, 1993; D.E. Scott, An Introduction to Circuit Analysis: A System Approach, McGraw Hill, 1987; R.E. Scott and M.W. Essigman, Linear Circuits, Addison Wesley
Course Outline Weekly
Weeks Topics
1 Revision of circuit analysis techniques
2 Topological techniques in circuit analysis
3 Operational amplifiers
4 Capacitance, inductance and mutual inductance
5 Response of first order RL and RC circuits
6 Response of first order RL and RC circuits
7 Natural and step responses of RLC circuits
8 Natural and step responses of RLC circuits
9 Midterm exam
10 Sinusoidal Steady State analysis
11 Sinusoidal Steady State analysis
12 Sinusoidal Steady State power analysis
13 Sinusoidal Steady State power analysis
14 Balanced three phase 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 4 56
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.) 13 5 65
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 2 17 34
Final Exam (Study duration) 1 25 25
Total workload 30 51 180
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