Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
ALGORITHM AND PROGRAMMING AYBS205 3. Semester 0 + 0 0 5.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors ANKUZEF ANKUZEF
Assistants
Goals The main aim of this course is to show a problem solution which is given and coding process of any programming tool.
Course Content Week 1 Introduction to Programming and Problem Solving: Problem Solving Concepts and Strategies Week 2 Problem Solving Process and Tools. Week 3 Logic Structures: Introduction to Programming Structure Week 4 Problem Solving Approaches, Sequential Logic Structure, Decision Structures Week 5 Loops, Case Logic Structure Week 6 Sort Algorithms Week 7 Search Algorithms Week 8 Algorithmic Puuzles Week 9 Problem Solving Approaches: Problem Solving with Arrays Week 10 Problem Solving with Pointers and Dynamic Memory Week 11 Problem Solving with Classes Week 12 Problem Solving with Recursion Week 13 Problem Solving with Code Reuse Week 14 Thinking like a programmer.
Learning Outcomes 1) At the end of this course, Students will learn about problem solving concepts and strategies
2) Students will have acquired the ability to understand and critique of problem solving process
3) Students will use problem solving tools

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction to Programming and Problem Solving: Problem Solving Concepts and Strategies Lecture

 Presentation (Including Preparation Time)
2. Week Problem Solving Process and Tools. Lecture; Problem Solving

 Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Logic Structures: Introduction to Programming Structure Lecture; Question Answer; Problem Solving

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Problem Solving Approaches, Sequential Logic Structure, Decision Structures Lecture; Question Answer; Problem Solving

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week Loops, Case Logic Structure Lecture; Question Answer; Problem Solving

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Sort Algorithms Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Search Algorithms Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
8. Week Algorithmic Puzzles Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Problem Solving Approaches: Problem Solving with Arrays Lecture; Question Answer; Problem Solving; Discussion

 Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Problem Solving with Pointers and Dynamic Memory Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Problem Solving with Classes Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Problem Solving with Recursion Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Problem Solving with Code Reuse Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Thinking like a programmer Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
Cormen, T. H., Charles, E. L., Ronald, L. R., & Clifford, S. (2009). Introduction to Algorithms (3rd edition). Cambridge, MA: MIT Press.
Cormen, T. H., Leiserson, C. E., Rivest, R. L. & Stein, C. (2009).Introduction to Algorithms. Massacusette Institute of Technology:USA.
Çölkesen, R. (2002). Veri yapıları ve algoritmalar. Papatya Yayınları.
Levitin, A. (2011). Algorithmic Puzzles. Oxford University Press.
Skiena, S. S. (2009).The Algorithm Design Manual. Springer London.
Soner Çelikkol (2001). Programlamaya giriş ve algoritmalar. Akademi Yayınları.
Spraul, A. (2012). Think Like a Programmer: An Introduction to Creative Problem Solving. No Starch Press: San Fransisco.
Vatansever, F. (2009). Algoritma geliştirme ve programlamaya giriş. Seçkin Yayınları.
Wang, W. (2008). Beginning Programming All-In-One Desk Reference For Dummies (First Edition). For Dummies.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15555
PY25555
PY35555
PY45555
PY75555

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 1
Homework 14 1
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 14 1
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 14 4
Midterm Exam 1 1
Final Exam 1 1
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload