| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Python Programming | YZM315 | Elective | Bachelor's degree | 3 | Fall | 4 |
Name of Lecturer(s)
Assistant Prof. Dr. Levent BAYINDIR
Learning Outcomes of the Course Unit
1) Design algorithms for engineering problems
2) Practice basic data processing using the computaiton tool
3) Uses advanced tools to simulate data
4) Designs, implements and tests computer programs using structural and object oriented approaches
5) Uses modern software systems and tools
6) Explain the concept of computation in general
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | High | High | High | Middle | Middle | High | High | High | Low | High | No relation | |
| 2 | Middle | Middle | Middle | High | Low | No relation | Middle | High | High | Low | Middle | No relation | |
| 3 | Low | Middle | Middle | High | Middle | No relation | Middle | High | High | Middle | Middle | No relation | |
| 4 | High | High | Middle | High | Low | No relation | High | High | High | Low | Middle | No relation | |
| 5 | Middle | Middle | Middle | High | Low | No relation | Middle | High | High | Middle | Middle | No relation | |
| 6 | High | High | Low | High | Low | No relation | Middle | High | High | Middle | Middle | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introduction to Programming, Introduction to Python Basic Elements of Python, Variables and Operations Control structures, Strings, Inputs, Loops Simple numerical programs Functions, Scoping and Abstraction Global Variables, Modules, Files Structural Types, Interchangeability and Higher Order Functions Arrays and Multidimensional Arrays Classes and Object Oriented Programming A Simple Introduction to Algorithmic Complexity Simple Algorithms and Data Structures. Search and Sort Algorithms Plotting Random Walks and Data Visualization Understanding Experimental Data
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Quiz to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required