Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Computer Programming ENM107 Turkish Compulsory 1. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Dr. Öğr. Üyesi Ahmet CİHAN
Instructor(s) Dr. Öğr. Üyesi Ahmet CİHAN (Güz)
Goals To have the ability to use the programming language program development environment and the knowledge of program development by giving the logic of algorithm and programming
Course Content Algorithms and flow diagrams, variable and variable types. Assigning variable names and values. Arithmetic operators and expressions. Logical operators and expressions. Reading information from the keyboard, printing data to the screen. Condition operators. Loops, nested loops. Functions, parameter feeding to functions. Functions that return value. Introduction to GNU Octave and / or matlab, vector usage. Reading information in GNU / Octave language, printing data on the screen, loops, nested loops, creating basic programs using if and relational operators.
Learning Outcomes
# Öğrenme Kazanımı
1 Know algorithm and programming logic,
2 Create a flow diagram of a problem
3 The flow diagram realizes the program of a generated problem.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to programming and base arithmetic
2. Week Input/output operations in algorithms and flow charts
3. Week Conditions in algorithms and flow charts
4. Week Loops in algorithms and flow charts
5. Week Nested loops in algorithms and flow charts
6. Week Introduction to octave environment and input-output operations
7. Week Conditions in octave environment
8. Week Loops and nested loops in octave environment
9. Week Nested loops in octave environment
10. Week Project presentations
11. Week Project presentations
12. Week Project presentations
13. Week Project presentations
14. Week Project presentations
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems
2 Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process
3 Knowledge of at least one foreign language at a level that will enable communication with colleagues in the field and follow current developments; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
4 To be individuals who are sensitive to universal and social values, have knowledge of professional and ethical responsibilities and standards used in engineering practices.
5 The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.
6 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
7 Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.
8 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
9 Knowledge of the universal and societal impacts of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions, the necessity of lifelong learning and the ability to continuously renew oneself.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
PY1 4 4 4
PY2 3 3 3
PY3 1 1 1
PY4 1 1 1
PY5 3 3 3
PY6 4 4 4
PY7 2 2 2
PY8 5 5 5
PY9 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Algorithm development and introduction to programming, Fahri Vatansever
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Dr. Öğr. Üyesi Ahmet CİHAN Vize 20.00
Dr. Öğr. Üyesi Ahmet CİHAN Ödev 40.00
Dr. Öğr. Üyesi Ahmet CİHAN Final 40.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Sınavlar
Midterm 1 1 7 7
Homework 1 8 2 16
Final 1 9 9
Practice 14 2 28
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0