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 The objective of this course is to provide the basics of programming concepts using Python programming language and enable students to gain experience in laboratory environment.

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 in mathematics, science and subjects specific to the Materials Engineering; the ability to apply theoretical and practical knowledge of these areas to solve complex engineering problems and to model and solve of materials systems X
2 Understanding of science and engineering principles related to the structures, properties, processing and performance of Materials systems
3 Ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose X
4 Ability to design and choose proper materials for a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design and materials selection methods for this purpose
5 Ability to develop, select and utilize modern techniques and tools essential for the analysis and solution of complex problems in Materails Engineering applications; the ability to utilize information technologies effectively X
6 Ability to design and conduct experiments, collect data, analyse and interpret results using statistical and computational methods for complex engineering problems or research topics specific to Materials Engineering
7 Ability to work effectively in inter/inner disciplinary teams; ability to work individually
8 Effective oral and written communication skills in Turkish; knowlegde of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions X
9 Recognition of the need for lifelong learning; the ability to access information; follow recent developments in science and technology with continuous self-development X
10 Ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of standards used in engineering applications
11 Knowledge on business practices such as project management, risk management and change management; awareness in entrepreneurship and innovativeness; knowledge of sustainable development
12 Knowledge of the effects of Materials Engineering applications on the universal and social dimensions of health, environment and safety, knowledge of modern age problems reflected on engineering; awareness of legal consequences of engineering solutions

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