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 Engineering
  • Department of Industrial Engineering (30% English)
  • Course Structure Diagram with Credits
  • Advanced Programming
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information
Code - Course Title ENM207 - Advanced Programming
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+2
ECTS 4.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ZELİHA ERGÜL AYDIN, ARAŞTIRMA GÖREVLİSİ DOKTOR GÜRHAN CEYLAN, DOKTOR ÖĞRETİM ÜYESİ ZELİHA ERGÜL AYDIN
Mode of Delivery In class lectures, applications and project
Prerequisites ENM104- Introduction to Computation and Program. for Industrial Eng.
Courses Recomended None
Required or Recommended Resources Python: How to Program ( Deitel & Deitel ), Introduction to computation and programming using Python
Recommended Reading List None
Assessment methods and criteria 1 Midterm, Homeworks, 1 Project, 1 Final Exam
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Review of the basic concepts: Flow Diagrams, Control structures, Cycles
Week - 2 Review of the basic concepts :Functions, Modules, File I/O, Exception handling
Week - 3 Review of the basic concepts: Tuples, Lists, Dictionaries
Week - 4 Stack Implementation; Multidimensional lists
Week - 5 Classes and Data Abstractions
Week - 6 Midterm I
Week - 7 Inheritance
Week - 8 Polymorphism
Week - 9 Sorting algorithms
Week - 10 Search algorithms
Week - 11 Midterm II
Week - 12 NumPy module
Week - 13 SciPy module
Week - 14 Project presentation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Team/Group Work
  • Experiment
  • Drill - Practise
  • Problem Solving
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Elementary computing skills
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
Quiz 1 10
Project 1 30
Final Exam 1 40
Toplam (%) 100
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