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  Course Description
Course Name : Introduction To Computer Programming

Course Code : İSB243

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Fall (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Lecturer ERKAN KAYNAK

Learning Outcomes of the Course : define fundamental concepts of programming
describe a given solution method of a specific mathematical problem as an algorithm,
write programs using loops, arrays, functions, and structures of C programming language,
code simple algorithms with C++ programming language,
design C programs to solve simple mathematical problems,
use common programming styles in program development.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of the course is to teach design, implementation, documentation, testing, debugging errors of modern (object-oriented) programming,

Course Contents : The concept and classification of the software. Definition of programming and programming languages.Algorithm, flowchart, the concepts of the compiler and the interpreter. Software development stages. Error detection and debugging. Create algorithms and flow charts. Arithmetic and logical expressions. Variables and Arrays. The algorithm operation. Introduction to C language. Introduction to Dev C++ software. Atom, Object, express concepts. C common spelling rules and fonksyionlar. Variables, constants, and operators.

Language of Instruction : Turkish

Work Place : Faculty classrooms and computer labs.


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction to computer programming Source reading Lecture.
2 Algorithm, flowchart, the concepts of the compiler and the interpreter. Software development stages. Source reading Lecture, Solving problems
3 Details of algorithm concept Source reading Lecture, Solving problems
4 Flow charts , Algorithms and Flow charts: examples Source reading Lecture, Solving problems
5 Lexical elements, operators, and the C system; the fundamental data types; Source reading Lecture, Solving problems
6 Intorduction to Dev C++ software. Installing and general usage. Source reading Lecture, problem-solving, examples. Create projects on computer.
7 Flow of control – Part I: I/O operations, Operators, expressions and Boolean algebra concepts; Source reading Lecture, problem-solving, examples. Create projects on computer.
8 midterm exam Rewview the topics discussed in the lecture notes and sources Written exam.
9 Flow of control – Part II: if, ifelse and switch statements; Source reading Lecture, problem-solving, examples. Create projects on computer.
10 Flow of control – Part III: Loops - for, while, do while, break and continue; Source reading Lecture, problem-solving, examples. Create projects on computer.
11 Functions – Part I: General idea, Declaration, definition, prototype, invocation and header concepts; return statements; Source reading Lecture, problem-solving, examples. Create projects on computer.
12 Functions – Part II: Call by value, scope of the functions Source reading Lecture, problem-solving, examples. Create projects on computer.
13 Functions – Part III: Call by reference, recursion concept; recursive functions; Source reading Lecture, problem-solving, examples. Create projects on computer.
14 Functions - Part IV: Overloading concept and overloaded functions Source reading Lecture, problem-solving, examples. Create projects on computer.
15 Example projects Source reading Lecture, problem-solving, examples. Create projects on computer.
16/17 Final Exam Rewview the topics discussed in the lecture notes and sources Crate project on computer.


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Fahri Vatansever, Algoritma Geliştirme ve Programlamaya Giriş, Seçkin Yayıncılık
 Stephen G. Kochan, Programming In C (3rd Edition)
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 5 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Utilize computer systems and softwares 5
2 Apply the statistical analyze methods 2
3 Make statistical inference(estimation, hypothesis tests etc.) 2
4 Generate solutions for the problems in other disciplines by using statistical techniques 3
5 Discover the visual, database and web programming techniques and posses the ability of writing programme 5
6 Construct a model and analyze it by using statistical packages 2
7 Distinguish the difference between the statistical methods 1
8 Be aware of the interaction between the disciplines related to statistics 3
9 Make oral and visual presentation for the results of statistical methods 3
10 Have capability on effective and productive work in a group and individually 5
11 Develop scientific and ethical values in the fields of statistics-and scientific data collection 0
12 Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 1
13 Emphasize the importance of Statistics in life 2
14 Define basic principles and concepts in the field of Law and Economics 1
15 Produce numeric and statistical solutions in order to overcome the problems 5
16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 4
17 Use proper methods and techniques to gather and/or to arrange the data 2
18 Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 5 5 25
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 15 15
Total Workload: 134
Total Workload / 25 (h): 5.36
ECTS Credit: 5