INTRODUCTION TO ALGORITHMS AND PROGRAMMING PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
BGT155	INTRODUCTION TO ALGORITHMS AND PROGRAMMING	1	3	3	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	, TYY: + , EQF-LLL: , QF-EHEA:
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The goal of the Introduction to Algorithms and Programming course is to equip students with algorithmic thinking skills and develop their coding skills in major programming languages. This course aims to equip students with the ability to systematically analyze a problem, develop accurate algorithms, and then apply these algorithms to practical coding in a chosen programming language.
Contents of the Course Unit:	By learning programming constructs such as basic data structures, loops, conditionals, and functions, students will learn to produce creative and effective solutions to various real-world problems.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Students systematically analyze a problem using algorithms, develop solutions, and implement these solutions in a programming language.
Students gain the ability to write functional, error-free programs using basic programming constructs (variables, data types, loops, conditionals, and functions).
Students gain the ability to identify and troubleshoot errors encountered during the programming process and learn methods for testing and improving the accuracy of developed algorithms.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Introduction and Basic Concepts	Explanation
2	Research	Fundamentals of Algorithms and Programming	Explanation, Demonstration
3	Research	Flow Charts	Explanation, Demonstration
4	Research	Structure of C++ Programming Language.	Explanation, Demonstration
5	Research	Arithmetic, Logical, and Comparison Operators	Explanation, Demonstration
6	Research	Decision Structures	Explanation, Demonstration
7	Research	Cycles	Explanation, Demonstration
8	-	MID-TERM EXAM	-
9	Research	Single and Multidimensional Arrays	Explanation, Demonstration
10	Research	String Operations	Explanation, Demonstration
11	Research	Concept and Use of Function	Explanation, Demonstration
12	Research	File Operations	Explanation, Demonstration
13	Research	List, Stack, and Queue Structures	Explanation, Demonstration
14	Research	Error Types and Solution Methods	Explanation, Demonstration
15	Research	Sorting and Search Algorithms	Explanation, Demonstration
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Sebetci, Ö. (2019). Introduction to object-oriented programming and algorithms. Hiperlink education. communication. publication. industry. trade. and ltd. s...
YILMAZ, Ö. Ü. A. (2021). INTRODUCTION TO R PROGRAMMING. KODLAB PUBLISHING DISTRIBUTION SOFTWARE LTD. CO.
Mastar, M., & Eriş, S. (2024). C++ training book Kodlab. KODLAB PUBLISHING DISTRIBUTION SOFTWARE LTD. CO.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method
Mid-Term Exam	1	50		Classical Exam
Final Exam	1	50		Classical Exam
TOTAL	2	100

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Knows the necessary terms and information in the computer field.	0
2	Gains knowledge of the concept of information security.					4

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Gains the ability to learn the necessary concepts in the computer field.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to identify, define, formulate and solve complex Information Security problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to design a complex computer-based system, process, security to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods.						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to design, conduct experiments, collect data, analyze and interpret results for examining Information Security problems					4
2	Ability to work effectively within the discipline of Information Security and in multi-disciplinary teams; individual study skills						5
3	Professional and ethical responsibility awareness						5
4	Knowledge of project management and business practices such as risk management and change management; awareness of entrepreneurship, innovation and sustainable development						5

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to develop, select and use modern techniques and tools required for Information Security applications						5
2	Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself						5

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to communicate effectively in Turkish orally and in writing, foreign language knowledge						5

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Information about the effects of Information Security practices on health, environment and security in universal and social dimensions and the problems of the age; Awareness of the legal consequences of Information Security solutions					4

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	1	14
Reading	0	0	0
Assignment (Homework)	1	2	2
Project Work	1	4	4
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	1	1	1
Preparation for the Final Exam	14	1	14
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	7	1	7
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	67	0	127