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 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and 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