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Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Mechatronics
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
03710103 Algorithms and Programming 1 Autumn 1 2+0+2 5 5
Course Type Compulsory
Course Cycle Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator Lect. Taha Fatih ATEŞ
Instructor(s) Lect. Uğur POLAT
Instructor Assistant(s) -
Course Content
Basic computer hardware, problem solving using computer, algorithm types, algorithm development, switching from algorithm to programming language, programming languages and application.
Objectives of the Course
To give information about basic algorithms and problem solving structures, gain the ability to design algorithms and to develop applications with programming languages.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Has Fundamental, Current, And Practical Knowledge Related to Their Profession. 2
P3 Follows and Effectively Uses Current Developments and Applications in Their Profession 2
P4 Effectively Uses Information Technologies (Software, Programs, Animations, Etc.) Related to Their Profession 5
P5 Possesses the Ability to Evaluate and Propose Solutions to Professional Problems and Issues Independently, With an Analytical and Critical Approach 2
P6 Can Effectively Present Thoughts at The Level Of Knowledge and Skills Through Written and Verbal Communication And Expresses Them Clearly 1
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Acquires hands-on experience in the setup, programming, and maintenance of industrial automation systems. P.1.7 1,7
O2 Effectively uses programming languages and software tools in mechatronic applications P.4.2 1,7
O3 Knows basic programming languages used in the programming of mechatronic systems P.4.5 1,7
O4 Can write control algorithms on microprocessors P.4.7 1,7
O5 Knows algorithm design and analysis techniques P.4.8 1,7
O6 Knows algorithm development and can create a data structure suitable for the algorithm P.4.9 1,7
O7 Conveys complex engineering concepts simply and clearly P.6.3 1,7
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Introduction, Course Plan, Computer, and Basic Concepts
2 Algorithm, Algorithm Classification, Software, and Programming Concepts
3 Developing Algorithms
4 Line Code, Counters, Loops/Decision Situations
5 Flowchart and Multiple Conditional Structures
6 Pseudocode, Creating Code from Line Algorithms and Flowcharts
7 Basic Algorithm Examples, General Applications
8 Transition from Flowchart to Coding, C Programming Language and its Features
9 Introduction to Programming, Variables
10 Conditional Structures
11 Data Input/Output Operations
12 Loops
13 Arrays and Applications
14 Development Applications
Textbook or Material
Resources Algoritma Geliştirme ve Programlamaya Giriş, Prof. Dr. Fahri Vatansever, Seçkin Yayıncılık, 2020
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice 1 30 (%)
Homework - -
Presentation - -
Projects - -
Quiz - -
Midterms 1 30 (%)
Final Exam 1 40 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 2 28
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 20 20
Quiz 0 0 0
Homework 0 0 0
Practice 1 14 14
Laboratory 14 2 28
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 20 20
Other 0 0 0
Total Work Load: 152
Total Work Load / 30 5,07
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P4 P6
O1 Acquires hands-on experience in the setup, programming, and maintenance of industrial automation systems. 2 - -
O2 Effectively uses programming languages and software tools in mechatronic applications - 5 -
O3 Knows basic programming languages used in the programming of mechatronic systems - 5 -
O4 Can write control algorithms on microprocessors - 2 -
O5 Knows algorithm design and analysis techniques - 5 -
O6 Knows algorithm development and can create a data structure suitable for the algorithm - 5 -
O7 Conveys complex engineering concepts simply and clearly - - 2