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
  • Vocational School Of Information Technologies
  • Department of Computer Technologies
  • Computer Programming
  • Course Structure Diagram with Credits
  • Algorithms and Introduction to Programming
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BTP101 - Algorithms and Introduction to Programming
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+1
ECTS 5.0
Course Instructor(s) ÖĞRETİM GÖREVLİSİ GÖKŞİN AKDENİZ
Mode of Delivery Face to Face
Prerequisites No prerequisites for this lesson
Courses Recomended None
Recommended Reading List
Assessment methods and criteria 1 Mid-Term and 1 Final Classical Exams
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction of the hardware of a computer
Week - 2 Introduction of the software of a computer
Week - 3 Defining the problem
Week - 4 Fit the solution to a computer
Week - 5 Defining Algorithm
Week - 6 Flow Charts
Week - 7 Algorithm Examples
Week - 8 Introduction to Integrated Development Enviroment
Week - 9 Solution of the example algotihms with programming language
Week - 10 Using If clause with PL
Week - 11 Introduction to variables
Week - 12 Defining loops, subroutines and functions
Week - 13 Arrays and array applications
Week - 14 Pointers and pointer applications, Dynamic memory allocation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Experiment
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Work in teams
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Final Exam 1 70
Toplam (%) 100
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