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)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
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;
  • Introduce concepts of programming
  • Gain programming experience in laboratory environment
  • Gain skills in algorithm development for problem solving
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
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.
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
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
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems. X
2 The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines. X
6 The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually. X
7 (a) Sözlü ve yazılı etkin iletişim kurma becerisi; etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. (b) En az bir yabancı dil bilgisi; bu yabancı dilde etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. X
8 Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously. X
9 Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications. X
10 Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. X
11 Knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; awareness of the possible legal consequences of engineering practices. X
12 (a) Knowledge of (i) fluid mechanics, (ii) heat transfer, (iii) manufacturing process, (iv) electronics and control, (v) vehicle components design, (vi) vehicle dynamics, (vii) vehicle propulsion/drive and power systems, (viii) technical laws and regulations in automotive engineering field, and (ix) vehicle verification tests. (b) The ability to merge and apply these knowledge in solving multi-disciplinary automotive problems.
13 The ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field.
14 The ability to work in the field of vehicle design and manufacturing.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
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