Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)

Course Information

INTRODUCTION TO PROGRAMMING
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
CSE105 Fall 3 2 4 7

Prerequisites and co-requisites None
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Asst. Prof. Mehmet Ali AKTAŞ
Mode of Delivery Face to Face
Suggested Subject None
Professional practise ( internship ) None
Objectives of the Course A key aim is to illustrate the interdependancy of algorithms and data structures - significantly, that data structures largely determine algorithms, for example, that products are processed by projections, unions by alternatives, and that recursive data structures such as lists are processed by recursive algorithms.
Contents of the Course The course introduces the art of programming in small steps, starting from clearly structuring the required data. Typed functions, conditional expressions, and repetition (recursion) are introduced alongside as the basic methods to operate on this structured data. A key aim is to illustrate the interdependancy of algorithms and data structures - significantly, that data structures largely determine algorithms, for example, that products are processed by projections, unions by alternatives, and that recursive data structures such as lists are processed by recursive algorithms.

Learning Outcomes of Course

# Learning Outcomes
1 To be able to comprehend student programming logic.
2 To be able to design algorithms.
3 Use Algorithm flow diagrams.
4 Student will be able to write object oriented program.
5 Students will be able to design Windows-based applications.

Course Syllabus

# Subjects Teaching Methods and Technics
1 Structure and general characteristics of the programming language Synchronous
2 Flowcharts and Application Examples Synchronous
3 Characters Constants and Variables Synchronous
4 Introduction to Programming Languages Synchronous
5 Algorithm Concept Synchronous
6 Pseudo Code, Flow Charts Synchronous
7 Midterm Exam Exam
8 Pseudo Code, Flow Charts Synchronous
9 Conditionals Synchronous
10 Arithmetic IF and Logical IF Synchronous
11 Loops Synchronous
12 Loops Synchronous
13 Arrays, Multidimensional Arrays Synchronous
14 Arrays, Multidimensional Arrays Synchronous
15 Application Examples Synchronous
16 Final Exam Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 All computer books, magazines, articles on internet

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 To be able to comprehend student programming logic. 1 1͵2
2 To be able to design algorithms. 3 1͵2
3 Use Algorithm flow diagrams. 3 1͵2
4 Student will be able to write object oriented program. 3 1͵2
5 Students will be able to design Windows-based applications. 3 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 5 70
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 5 70
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 3 3
8 Midterm Exam 1 3 3
9 Quiz 0 0 0
10 Homework 0 0 0
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 15 15
16 Final Exam 1 3 3
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