ECTS - Computer Programming in C

Computer Programming in C (MCS116) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Programming in C MCS116 2. Semester 2 2 0 3 4
Pre-requisite Course(s)
MCS 115 Introduction to Computer Sciences
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery
Learning and Teaching Strategies Lecture, Question and Answer, Drill and Practice, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims to introduce the students the fundamental elements of the C programming language.
Course Learning Outcomes The students who succeeded in this course;
  • Learn basics of programming concepts using the C programming language.
  • Get programming experience in a laboratory environment.
Course Content Algorithms and Flowcharts, Variable Declarations and Data Types, Arithmetic Expressions, Pointers, Library Functions, Selection Structures, Repetition and Loop Statements, Arrays, Strings, Recursion.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Programming Skills (Algorithm and Flowchart)
2 2.1 C Language Elements 2.2 Variable Declarations and Data Types 2.3 Executable Statements 2.4 General Form of a C program pp. 34-58
3 2.5 Arithmetic Expressions 2.6 Formatting Numbers in Program Output 2.7 Interactive Mode, Batch Mode, and Data Files 3.1 Building Programs from Existing Information 3.2 Library Functions pp. 58-80, 96-112
4 3.4 Functions without Arguments 3.5 Functions with Input Arguments 4.1 Control Structures 4.2 Conditionals 4.3 The if Statement 4.4 if Statements with Compound Statements 4.7 Nested if Statements and Multiple-Alternative Decisions 4.8 The switch Statement pp. 114-136, 146-166, 179-196
5 5.2 Counting Loops and the while Statement 5.3 Computing a Sum or a Product in a Loop 5.4 The for Statement 5.6 Loop Design (Sentinel-Control Loop only) pp. 212-231, 222-231, 238-245
6 Mid-Term Examination
7 5.7 Nested Loops 5.8 The do-while Statement and Flag-Controlled Loops pp. 245-254
8 6.1 Functions with Simple Output Parameters 6.2 Multiple Calls to a function with Input/Output Parameters pp. 280-296
9 6.3 Scopes of Names 6.4 Formal Output Parameters As Actual Arguments pp. 296-302
10 7.1 Representation and Conversion of Numeric Types 7.2 Representation and Conversion of Numeric Type Char 7.3 Enumerated Types pp. 330-345
11 8.1 Declaring and Referencing Arrays 8.2 Array Subscripts 8.3 Using for Loops For Sequential Access pp. 368-380
12 8.4 Using Array Elements as Function Arguments 8.5 Array Arguments pp. 380-397
13 8.6 Searching and Sorting an Array 8.7 Multidimensional Arrays pp. 397-407
14 9.1 String Basics 9.2 String Library Functions: Assignment and Substrings pp. 434-448
15 10.1 The Nature of Recursion 10.2 Tracing a Recursive Function 10.3 Recursive Mathematical Functions pp. 502-522
16 Final Examination

Sources

Course Book 1. Problem Solving and Program Design in C, Jeri R. Hanly, Elliot B. Koffman, 4th Edition, Pearson Addison Wesley, 2004.
5. Teach Yourself C in 21 Days, Sams Publishing, 1999.
Other Sources 2. C How to Program, Deitel, Pearson Prentice Hall, 2004.
3. C Programming Laboratory Manual, Prof. Dr. Ali Yazici, Asst. Prof. Dr. Çigdem Turan, Inst. Fügen Selbes, Atilim University, Department of Computer Engineering, 2001.
4. C in a Nutshell- O’Reilly, 2005.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 5 10
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 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
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 Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area X
2 Can apply gained knowledge and problem solving abilities in inter-disciplinary research X
3 Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary X
4 Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study X
5 Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework X
6 Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility X
7 Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation X
8 To have an oral and written communication ability in at least one of the common foreign languages ("European Language Portfolio Global Scale", Level B2) X
9 Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge X
10 Follows scientific, cultural, and ethical criteria in collecting, interpreting and announcing data in the research area and has the ability to teach. X
11 Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory 16 2 32
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 7 14
Prepration of Final Exams/Final Jury 1 14 14
Total Workload 88