Programming For Data Science
Software Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Programming For Data Science | YZM503 | Elective | Master's degree | 1 | Fall | 8 |
Name of Lecturer(s)
Associate Prof. Dr. Hakan GÜNDÜZ
Learning Outcomes of the Course Unit
1) Defines a data science problem.
2) Expresses the solution of a data science problem algorithmically
3) Applies the basic steps of software development to solve a data science problem and codes the application in a Python language to solve the problem
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | ||
| Learning Outcomes | ||||||||||||||||||
| 1 | Middle | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | |
| 2 | Middle | No relation | Middle | No relation | No relation | Middle | Middle | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | |
| 3 | High | No relation | Middle | No relation | No relation | Middle | High | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
•Structural and object programming paradigm. •Basic programming structures: sequential operation, decision, iterative operation. •Introduction to Python language. • Functions and usage in Python language. • File usage with Python. • Overview of Python libraries.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required