LOGISTICS (TURKISH)
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN2212	Data Structures and Algorithms II	Spring	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:	Associate (Short Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR
Course Lecturer(s):	Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR Dr. Öğr. Üyesi YÜCEL BATU SALMAN RA SEVGİ CANPOLAT RA MERVE ARITÜRK
Recommended Optional Program Components:	None
Course Objectives:	The objective of this course is to analyze data structures and algorithms used in software engineering in detail. After completing the course, the student will have knowledge of applying, implementing and analysis of data structures, including, trees, binary search trees, balanced search trees, heaps and graphs. Certain fundamental techniques, such as sorting, hashing and greedy algorithms are also taught.

Learning Outcomes

The students who have succeeded in this course;
The students who have succeeded in this course;
1) Describe and apply basic object oriented programming principles.
2) Implement basic data structures such as trees, binary search trees, balanced search trees, heaps and graphs.
3) Describe and implement sorting algorithms on common data structures.
4) Describe and implement searching algorithms on common data structures.
5) Implement and use hashing algorithms.
6) Implement and use greedy algorithms.
7) Choose and design data structures for writing efficient programs.

Course Content

The course content is composed of basic data structures like trees, binary search trees, balanced search trees, heaps, graphs and sorting, hashing and greedy algorithms.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction and Sorting Algorithms.	Sorting algorithms.
2)	Introduction to different tree structures.	Trees.
3)	Introduction to binary search trees.	Binary search trees.
4)	Implementing binary search tree using Java.	Binary search trees.
5)	Introduction to balanced trees and implementing AVL balanced tree structure using Java.	AVL trees.
6)	Using other balanced tree structure using Java.	Other balanced trees.
7)	Using heap structure and implementing them using Java.	Heap.
8)	Using heaps as priority queues. Midterm.	Heap.
9)	Analyzing and implementing hashing algorithms.	Hashing algorithms.
10)	Analyzing and implementing graph structure using Java.	Graph.
11)	Analyzing and implementing graph algorithms.	Graph algorithms.
12)	Analyzing and implementing greedy algorithms.	Greedy algorithms.
13)	Analyzing and implementing greedy algorithms. Quiz.	Greedy algorithms.
14)	Review.

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
Application	4	% 10
Quizzes	1	% 10
Project	1	% 15
Midterms	1	% 25
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 45
PERCENTAGE OF FINAL WORK		% 55
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Laboratory	14	2	28
Study Hours Out of Class	12	2	24
Project	10	2	20
Homework Assignments	2	5	10
Quizzes	5	2	10
Midterms	5	3	15
Final	10	3	30
Total Workload			165

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)	To have knowledge about logistics operations and the basic legislation
2)	To have knowledge about the politics, corporations and the developments in logistics.
3)	To have knowledge about the economical life and the basic features of the enterprises that take place in logistics sector.
4)	To have knowledge about the documents that are used in logistics and how to prepare them.
5)	To have knowledge about the new marketing and sales techniques and the principles of opening to new markets.
6)	To have knowledge and consciousness about the job security, worker health and environment protection in logistics sector.
7)	To have knowledge and consciousness about the basic legal attainments, social responsibility, ethics and social security rights in logistics.
8)	To be involved in communication network in logistics sector and follow the developments.	2
9)	To have the ability to comment and evaluate the classical and current theories by taking into account the developments in logistics and supply chain areas.
10)	To have the basic knowledge about foreign trade and customs legislation.
11)	To have knowledge about relationship between foreign trade and logistics management.
12)	To have basic knowledge in at least one foreign language.
13)	He/she can use information and communication tecnologies that necessary for their area, follows technological change and applies new technologies to business system.