ACADEMICS
Course Details

ELE228 - Programming for Circuits and Systems

2023-2024 Spring term information
The course is open this term
Supervisor(s)
Name Surname Position Section
Şölen Kumbay Yıldız Supervisor 21-28
Emre Efendi Assistant 21-28
Alperen Berber Assistant 21-28
ELE228 - Programming for Circuits and Systems
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 0 3 1 2
Obligation : Must
Prerequisite courses : -
Concurrent courses : ELE226
Delivery modes : Face-To-Face
Learning and teaching strategies : Question and Answer Programming Assignments, Homework, Other: This course must be taken together with 'ELE226 Circuit Theory II' course.
Course objective : This course provides a platform to improve programming skills and understanding the basis of Circuit Theory II course content under several programming applications using preferred professional programming language. Topics include three-phase circuits, Laplace transform, impulse response, convolution results and passive filter implementations.
Learning outcomes : A student who completes the course successfully 1. Learns the programming environment 2. Improves programming skills 3. Models a system in a programming platform 4. Uses relevant codes towards the solutions 5. Interprets the results in comparison with the solutions provided by ELE226 course materials
Course content : Tools of the software environment. Balanced Three-Phase Circuits in the software environment. Laplace Transform in Circuit Analysis in the software environment. Inverse Laplace Transform in the software environment. Constructing Transfer Functions: Pole Zero Plots in the software environment. Use Impulse Response for System Analysis in the software environment. Solving Convolution Integral in Circuit Analysis in the software environment. Programming Assisted Passive Filter Design in the software environment.
References :
Course Outline Weekly
Weeks Topics
1 Introduction to Scientific Programming
2 Software Platform Tools
3 Preliminary work for Experiment 1- Assignment 1 for Balanced Three-Phase Circuits
4 Experiment 1 (in Laboratory)
5 Preliminary work for Experiment 2- Assignment 2 for Laplace Transform and Inverse Laplace Transform
6 Experiment 2 (in Laboratory)
7 Preliminary work for Experiment 3- Assignment 3 for using Transfer Functions
8 Experiment 3 (in Laboratory)
9 Preliminary work for Experiment 4- Assignment 4 for Impulse Response
10 Experiment 4 (in Laboratory)
11 Preliminary work for Experiment 5- Assignment 5 for Convolution Integrals
12 Experiment 5 (in Laboratory)
13 Preliminary work for Experiment 6- Assignment 6 for Passive Filter Design
14 Experiment 6 (in Laboratory)
15 Preparation for final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 6 40
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 6 20
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 0 0
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 0 0 0
Laboratory 6 3 18
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 6 4 24
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 0 0 0
Final Exam (Study duration) 1 15 15
Total workload 13 22 57
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