Course Name Code Semester T+U Hours Credit ECTS
Introduction To Programming BSM 103 1 4 + 0 4 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish / English
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. CEMİL ÖZ
Course Lecturers Dr.Öğr.Üyesi GÜLÜZAR ÇİT, Doç.Dr. CÜNEYT BAYILMIŞ, Arş.Gör. KAYHAN AYAR, Prof.Dr. CEMİL ÖZ, Arş.Gör. NUR BANU OĞUR,
Course Assistants Res.Asst. Ozgur CIFTI
Course Category
Course Objective The course aims to make an introduction to computer programming. And, this course presents basic knowledge about structural programming, algorithm concept and design of algorithms
Course Content Algorithm concept. Flow charts. Programming and programming language. Structural programming concept. Array (vector) concept. Sorting and searching algorithms. Multi dimensional arrays (matrices). Using file and basic knowledge about files. Format concept and input output formatting. Subprogram concept. Recursion and recursive subprogram/function examples
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand basic knowledge about programming , , , , , , ,
2 Understand basic knowledge about structural programming, algorithm concept and design of algorithms , , , , , , ,
3 Understand basic knowledge about C/C++ programming language with respect to algorithm concept , , , , , , ,
4 Developing software project , , , , ,
Week Course Topics Preliminary Preparation
1 Algorithm concept
2 Flow charts
3 Programming and programming language
4 Structural programming concept
5 Array (vector) concept
6 Sorting and searching algorithms
7 Sorting and searching algorithms
8 Multi dimensional arrays (matrices)
9 Subprogram concept
10 Recursion concept
11 Recursive subprogram/function examples
12 Format concept and input output formatting
13 Using file and basic knowledge about files
14 Actual algorithm examples
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 45
1. Ödev 10
2. Ödev 10
3. Ödev 10
4. Ödev 10
1. Proje / Tasarım 15
Total 100
1. Yıl İçinin Başarıya 55
1. Final 45
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 5 5
Assignment 4 4 16
Performance Task (Laboratory) 1 15 15
Final examination 1 10 10
Total Workload 158
Total Workload / 25 (Hours) 6.32
dersAKTSKredisi 6