Information Technologies (English) (Thesis)
Master	Length of the Programme: 2	Number of Credits: 120	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF: Level 7

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Graduate School

Course Code

ITC 547

Course Title in English

Advanced Algorithms and Programming

Course Title in Turkish

İleri Algoritmalar ve Programlama

Language of Instruction

Type of Course

Exercise,Flipped Classroom,Lecture

Level of Course

Intermediate

Semester

Summer School

Contact Hours per Week

Lecture: 3

Recitation: 0

Lab: 0

Other: 0

Estimated Student Workload

186 hours per semester

Number of Credits

7.5 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

None

Expected Prior Knowledge

Basic programming knowledge

Co-requisites

None

Registration Restrictions

Only Graduate Students

Overall Educational Objective

To learn fundamentals of algorithms to design and implement advanced computer programs.

Course Description

This course covers the fundamentals of algorithms, data structures, and various programming paradigms to create advanced computer programs.

Course Description in Turkish

Bu ders algoritmalar, veri yapıları ve farklı programlama yöntemlerini kullanarak ileri bilgisayar programlarının gerçeklenmesini içermektedir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Comprehend data structures and algorithm concepts
2) Design algorithms
3) Implement algorithms to create advanced computer programs
4) Analyze and report the results of implemented solution

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4
1) An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications.
2) An ability to apply scientific and practical knowledge in statistics, computing and computer science.
3) A Comprehensive knowledge of analysis and modeling methods and their limitations.
4) An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process.
5) An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments.
6) An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities.
7) An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility.
8) An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context.
9) An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR.
10) An understanding the social and environmental aspects of IT applications.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications.	N
2)	An ability to apply scientific and practical knowledge in statistics, computing and computer science.	N
3)	A Comprehensive knowledge of analysis and modeling methods and their limitations.	N
4)	An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process.	N
5)	An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments.	N
6)	An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities.	N
7)	An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility.	N
8)	An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context.	N
9)	An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR.	N
10)	An understanding the social and environmental aspects of IT applications.	N

Prepared by and Date	,
Course Coordinator	TUNA ÇAKAR
Semester	Summer School
Name of Instructor	Asst. Prof. Dr. TUNA ÇAKAR

Course Contents

Week	Subject
1)	Introduction to Algorithms
2)	Data Structures Part 1: Stacks, Queues, Heaps, Hashing
3)	Data Structures Part 2: Trees and graphs
4)	Algorithm Design Part 1
5)	Algorithm Design Part 2
6)	Application of Algorithms to Real World Problems
7)	Algorithms for Artificial Intelligence Part 1
8)	Algorithms for Artificial Intelligence Part 2
9)	Algorithms for Games Part 1
10)	Algorithms for Games Part 2
11)	Algorithms for Arts, Vision, and Visualization Part 1
12)	Algorithms for Arts, Vision, and Visualization Part 2
13)	Algorithms for Sound, Music, and Speech Part 1
14)	Algorithms for Sound, Music, and Speech Part 2
15)	Final Examination Period
16)	Final Examination Period

Required/Recommended Readings

Algorithms by Robert Sedgewick, Kevin Wayne

Teaching Methods

Flipped classroom. Students work for projects.

Homework and Projects

Projects

Laboratory Work

None

Computer Use

Required

Other Activities

None

Assessment Methods

Assessment Tools	Count	Weight
Project	1	% 100
TOTAL		% 100

Course Administration

Academic dishonesty and plagiarism will be subject to Law on Higher Education Article 54.

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	1	5	1	98
Project	4	0	22		88
Total Workload					186
Total Workload/25					7.4
ECTS					7.5