Computer Programming II (CMPE114) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Programming II CMPE114 2. Semester 3 2 0 4 5
Pre-requisite Course(s)
CMPE113
Course Language English
Course Type Compulsory Departmental Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The course gives the foundations of problem solving and programming using C Language. The course aims students to have disciplined approach to program development. The course includes topics of modular programming, function design and structures used in programming. The course provides students to write readable programs with sufficient documentation.
Course Learning Outcomes The students who succeeded in this course;
  • Use pointers
  • Use single and multidimensional arrays
  • Process strings
  • Design structures
  • Practice with files
Course Content Pointers, dynamic memory management, parameter passing, arrays, strings, structures, file processing; application programs in a laboratory environment using the C language.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Review of C language Chapter 2-5
2 Pointers Chapter 6
3 Call by reference parameter passing Chapter 6
4 Single dimensional arrays Chapter 7
5 Multi-dimensional arrays Chapter 7
6 Manipulating arrays Chapter 7
7 Dynamic memory allocation and deallocation Chapter 13
8 Strings Chapter 8
9 Strings Chapter 8
10 Structure types Chapter 10
11 Structure types Chapter 10
12 File processing Chapter 11
13 File processing Chapter 11
14 Application Development Chapter 11
15 Review
16 Review

Sources

Course Book 1. Problem Solving and Program Design in C, J. R. Hanly, E. B. Koffman, 8thth Global Edition, Pearson, 2016.
Other Sources 2. C Programming Problem Book, A.Yazici, C.Turhan, C.F. Selbes, Atilim University.
3. C: How to Program, H.M.Deitel, P.J.Deitel, 2nd Edition, Prentice-Hall
4. C Programming: A Modern Approach, K. N. King, W.W.Norton&Company, 2nd Edition.
5. C Programming Language, B.W. Kernighan, D.M. Ritchie, 2nd Edition Prentice Hall Software.
6. Programming in C, S.Kochan,3rd Edition, Sams.
7. C: The Complete Reference, H. Schildt, 4th Edition McGraw-Hill Osborne Media

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 2 30
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 5 10
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 35
Toplam 9 100
Percentage of Semester Work 65
Percentage of Final Work 35
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 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 5 80
Laboratory 2 6 12
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 4 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 8 8
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 134