Course Name Code Semester T+U Hours Credit ECTS
Computer Programming II ENM 209 3 3 + 1 4 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi MÜMTAZ İPEK
Course Lecturers Prof.Dr. İSMAİL HAKKI CEDİMOĞLU, Dr.Öğr.Üyesi MÜMTAZ İPEK, Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM,
Course Assistants
Course Category
Course Objective This course teaches students how to write algorithms for computer software applications in engineering, to process data using arrays, files, classes and pointers, to write programs.
Course Content Main concepts, algorithms, types of algorithms, flow charts, pseudo coding, 3 main programming structures, arrays, file systems, data processing, sort and search algorithms and applications.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Ability to write algorithm
2 Ability to use main data types
3 Ability to develop structural programs and to use structures
4 Ability to develop modular programs using functions
5 Ability to sort numerical and alphabetical data
6 Ability to write data to files and to get data from files
7 Ability to develop efficient programs using classes and pointers
Week Course Topics Preliminary Preparation
1 Main concepts and algorithms
2 Structural programming and data types
3 Introduction to programming
4 Decision structures
5 Loop structures
6 One dimensional and multi dinemsional arrays
7 Sorting
8 Functions and recursive functions
9 VISA
10 Files
11 Files
12 Classes
13 Classes
14 Pointers
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language X
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Ödev 10
1. Kısa Sınav 10
2. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 12 12
Quiz 2 10 20
Assignment 1 10 10
Performance Task (Laboratory) 1 4 4
Final examination 1 4 4
Total Workload 130
Total Workload / 25 (Hours) 5.2
dersAKTSKredisi 5