ECTS - Computer Programming
Computer Programming (CMPE102) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Computer Programming | CMPE102 | 2 | 2 | 0 | 3 | 4 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | N/A |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to provide the basics of programming concepts using C programming language and enable students to gain experience in laboratory environment. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Programming concepts: data types, arithmetic expressions, assignment statements; input/output functions; library functions; selection and repetition statements; user-defined functions; arrays and strings. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Overview of programming, C language elements, variable declarations and data types, executable statements, arithmetic expressions, formatting output | |
2 | Library functions, conditions | |
3 | If and compound statements | |
4 | Nested-if and switch statements | |
5 | Repetition and loop statements: While loop | |
6 | Repetition and loop statements: For loop | |
7 | Repetition and loop statements: Nested and do-while loops | |
8 | Functions without argument, and with input argument | |
9 | Pointers and functions with input/output parameters | |
10 | Pointers and functions with input/output parameters (continue) | |
11 | 1-D array declaration, subscripts and accessing | |
12 | Array arguments | |
13 | Multidimensional arrays | |
14 | String basics and some important string library functions | |
15 | Review | |
16 | Review |
Sources
Course Book | 1. Jeri R. Hanly, Elliot B. Koffman, “Problem Solving and Program Design in C”, Addison Wesley, 7th Edition, 2013. |
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2. Ali Yazıcı, Çiğdem Turhan, Fügen Selbes, “C Programming: Problem Book”, Atılım University, Department of Computer Engineering, 2004. | |
Other Sources | 3. Problem Solving Using C Structured Programming Techniques, Yuksel Uckan, McGraw- Hill, 2nd Edition, 1999. |
4. C: How to Program, H.M. Deitel, P.J.Deitel, Prentice Hall, 5th Edition, 2006. | |
5. "C Dersi: Programlamaya Giriş", Nergiz E. Çağıltay, Fügen C. Selbes, Gül Tokdemir, Çiğdem Turhan, 2013. Web site of the book: http://www.cdersi.com | |
6. "C Dersi: Çözümlü Problem Kitabı", Fügen C. Selbes, Çiğdem Turhan, Gül Tokdemir, Nergiz E. Çağıltay, 2012. Web site of the book: http://www.cdersi.com |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | 2 | 20 |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 50 |
Final Exam/Final Jury | 1 | 30 |
Toplam | 5 | 100 |
Percentage of Semester Work | 70 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | |
Supportive Courses | X |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems. | |||||
2 | An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. | X | ||||
3 | An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design. | |||||
4 | An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. | X | ||||
5 | An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics. | X | ||||
6 | An ability to work individually, on teams, and/or on multidisciplinary teams. | X | ||||
7 | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction. | |||||
8 | A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology. | |||||
9 | An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications. | |||||
10 | Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement. | |||||
11 | Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions. | |||||
12 | An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. | |||||
13 | Knowlede on appropriate analytical, computational and experimental methods to provide system integration. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 2 | 32 |
Laboratory | 12 | 2 | 24 |
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | 2 | 3 | 6 |
Prepration of Midterm Exams/Midterm Jury | 2 | 4 | 8 |
Prepration of Final Exams/Final Jury | 1 | 4 | 4 |
Total Workload | 106 |