PROGRAMLAMAYA GİRİŞ PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
VTK151	PROGRAMLAMAYA GİRİŞ	1	3	3	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	ASSOCIATE DEGREE, TYY: + 5.Level, EQF-LLL: 5.Level, QF-EHEA: Short Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Lecturer ŞEHMUS TURAN
Instructor(s) of the Course Unit	Lecturer AHMET FARUK GÖRMÜŞ
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to teach programming fundamentals to web design and coding students. Before beginning to integrate with the web, students learn algorithms, data processing, and basic programming structures. Using the Python language, students develop problem-solving, data manipulation, and modular programming skills.
Contents of the Course Unit:	1. Algorithms and basic programming logic 2. Basic data types and variables in Python 3. Control structures: Conditions (if-else) and loops (for, while) 4. Modular programming with functions 5. Lists, arrays, and dictionary data structures 6. File operations and data storage techniques 7. Error management and exception handling 8. Simple mathematical and textual operations in Python 9. Algorithm design and problem-solving techniques

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Can solve basic problems using algorithms and flowcharts.
Can solve basic problems using algorithms and flowcharts.
You can perform dynamic programming with control structures and loops.
It can work with data structures such as lists and dictionaries.
You can make your code modular with functions.
It can store and read data with file operations.
Can apply error management and exception handling techniques.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Conducting research on the subject	Algorithms and flowcharts: Problem-solving methods	Demonstration, Show and Tell
2	Conducting research on the subject	Introduction to Python: Variables and data types	Demonstration, Show and Tell
3	Conducting research on the subject	Conditions and decision structures: if-else logic	Demonstration, Show and Tell
4	Conducting research on the subject	Loops: Using for and while	Demonstration, Show and Tell
5	Conducting research on the subject	Introduction to functions: Parameters and return values	Demonstration, Show and Tell
6	Conducting research on the subject	Lists and arrays: Data processing techniques	Demonstration, Show and Tell
7	Conducting research on the subject	Dictionaries and sets: In-depth study of data structures	Demonstration, Show and Tell
8	-	MID-TERM EXAM	-
9	Conducting research on the subject	File operations: File reading, writing, and data processing	Demonstration, Show and Tell
10	Conducting research on the subject	Error management and exception handling: Code security	Demonstration, Show and Tell
11	Conducting research on the subject	Simple textual and mathematical operations	Demonstration, Show and Tell
12	Conducting research on the subject	Algorithm design: Problem-solving exercises	Demonstration, Show and Tell
13	Conducting research on the subject	Mini Project: Solving an everyday problem	Demonstration, Show and Tell
14	Conducting research on the subject	Project Presentations and Overall Evaluation	Demonstration, Show and Tell
15	Conducting research on the subject	Project Presentations and Overall Evaluation	Demonstration, Show and Tell
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Python Programming: An Introduction to Computer Science - John Zelle
Learn Python the Hard Way - Zed A. Shaw
Automate the Boring Stuff with Python - Al Sweigart
Official Python documentation: https://docs.python.org/

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	14	3	42
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	0	0	0
Preparation for the Final Exam	0	0	0
Mid-Term Exam	0	0	0
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	42	0	126