PHOTOGRAPHY AND VIDEO
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN2211	Data Structures and Algorithms I	Spring Fall	2	2	3	7

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR
Course Lecturer(s):	Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR RA MERVE ARITÜRK Prof. Dr. NAFİZ ARICA Instructor DUYGU ÇAKIR YENİDOĞAN RA SEVGİ CANPOLAT
Recommended Optional Program Components:	None
Course Objectives:	This is an introductory course on common data structures that are used in software engineering. After completing the course, the student will have knowledge of applying, implementing and analysis of basic data structures, including, lists, stacks and queues. Certain fundamental techniques, such as sorting, searching and recursion are also taught.

Learning Outcomes

The students who have succeeded in this course;
1) Describe and apply basic object oriented programming principles.
2) Implement basic data structures such as linked lists, stacks and queues.
3) Analyze the complexity and efficiency of algorithms.
4) Choose and design data structures for writing efficient programs.
5) Implement recursive algorithms.
6) Describe and implement sorting algorithms on common data structures.
7) Describe and implement search algorithms on common data structures.

Course Content

The course content is composed of object oriented Java review, the complexity and efficiency of algorithms, introduction to list-stack-queue structures, implementing list-stack-queue structures, recursion, searching algorithms and sorting algorithms.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Data Structures and Algorithms Complexity Analysis
2)	Introduction to Linked Lists
3)	Doubly Linked Lists Ordered Linked Lists
4)
5)	Stacks
6)	Stacks for Algebraic Operations
7)	Queues
8)	Queues
9)	Data Structure Classes in Java
10)	Recursion
11)	Recursive Complexity
12)	Searching Algorithms
13)	Sorting Algorithms
14)	Sorting algorithms

Sources

Course Notes / Textbooks:	Data Structures & Problem Solving Using Java (Mark Allen Weiss) Data Structures and Algorithm Analysis in Java (Mark Allen Weiss) Data Structures and Abstractions with Java (Frank Carrano)
References:	Yok

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	4	% 20
Quizzes	5	% 20
Midterms	1	% 20
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	28
Laboratory	14	28
Study Hours Out of Class	12	24
Midterms	10	52
Final	5	32
Total Workload		164

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Knowledge of photographic and video media and ability to use basic, intermediate and advanced techniques of these media.
2)	Ability to understand, analyze and evaluate theories, concepts and uses of photography and video.
3)	Ability to employ theoretical knowledge in the areas of the use of photography and video.
4)	Familiarity with and ability to review the historical literature in theoretical and practical studies in photography and video.
5)	Ability in problem solving in relation to projects in photography and video.
6)	Ability to generate innovative responses to particular and novel requirements in photography and video.
7)	Understanding and appreciation of the roles and potentials of the image across visual culture
8)	Ability to communicate distinctively by means of photographic and video images.
9)	Experience of image post-production processes and ability to develop creative outcomes through this knowledge.
10)	Knowledge of and ability to participate in the processes of production, distribution and use of photography and video in the media.
11)	Ability to understand, analyze and evaluate global, regional and local problematics in visual culture.
12)	Knowledge of and ability to make a significant contribution to the goals of public communication.
13)	Enhancing creativity via interdisciplinary methods to develop skills for realizing projects.
14)	Gaining general knowledge about the points of intersection of communication, art and technology.