Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Programming with Python
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST356 - Programming with Python
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 4+0
ECTS 5.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR CENK İÇÖZ
Mode of Delivery face to face
Prerequisites non
Courses Recomended non
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria 1 or 2 midterms, 1 final exam
Work Placement not suitable for this lecture.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Python Programming
Week - 2 Variables, Data types and Operators
Week - 3 Lists and Tuples
Week - 4 Sets and Dictionaries
Week - 5 Data Input and Output Operations: Processors
Week - 6 Data Input and Output Operations: Operators
Week - 7 Logical Control Operations
Week - 8 Loop Controls
Week - 9 Basic Functions
Week - 10 Operations in Modules
Week - 11 Error Handling in Python
Week - 12 Defining of Functions and Module Usage
Week - 13 Graphs and Data Visualization in Python
Week - 14 Statistics Applications with Python

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • True to core values
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Effective use of a foreign language
  • Work in teams
  • Eleştirel düşünebilme
  • Problem solving
  • Applying theoretical knowledge into practice
  • To work autonomously
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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