Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3EE201Circuit Analysis I4+0+04526.10.2026
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program Electrical - Electronic Engineering
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The course aims to make an introduction to computer programming. It presents knowledge about structural programming, algorithm concept and design of algorithms from an elementary level to an advanced level. At the end of this course, the students will have learned how to develop a program in Python programming language for various problems.
Course Content This first course in a sequence of two courses as covering subjects at higher level in Python Programming language and an introduction to programming concept by using C programming language. Specifically following subjects in Python Programming Language are taught in this course. Algorithm concept. Flow charts. Structural programming concept. Modular programming. File processing. Lists and applications.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
Course Notes Starting Out with Python Global Edition (4E) by Tony Gaddis Pearson (2018)
Introduction to Programming using Python, 1E by Y. Daniel Liang, Pearson (2012).
Python Programming for the Absolute Beginner, 3E by M. Dawson, Course Technology (2010).
Introduction to Programming Concepts with Case Studies in Python, 1E by Üçoluk & Kalkan, Springer (2012).
Python How to Program, 1E by Paul Deitel and Harvey Deitel, Pearson (2001)

Course Category
Mathematics and Basic Sciences %20
Engineering %40
Engineering Design %40

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 25
Attendance 1 % 5
Practice 13 % 25
Final examination 1 % 45
Total
16
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 13 3 39
Hours for off-the-c.r.stud 14 5 70
Mid-terms 1 2 2
Laboratory 13 2 26
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 4,5 139

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

 
Weekly Detailed Course Contents
Veri yok

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant