EUROPEAN UNION RELATIONS
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 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) To be able to examine, interpret data and assess ideas with the scientific methods in the area of EU studies. 2
2) To be able to inform authorities and institutions in the area of EU studies, to be able to transfer ideas and proposals supported by quantitative and qualitative data about the problems. 2
3) To be introduced to and to get involved in other disciplines that EU studies are strongly related with (political science, international relations, law, economics, sociology, etc.) and to be able to conduct multi-disciplinary research and analysis on European politics. 3
4) To be able to evaluate current news on European Union and Turkey-EU relations and identify, analyze current issues relating to the EU’s politics and policies. 2
5) To be able to use English in written and oral communication in general and in the field of EU studies in particular. 1
6) To have ethical, social and scientific values throughout the processes of collecting, interpreting, disseminating and implementing data related to EU studies. 1
7) To be able to assess the historical development, functioning of the institutions and decision-making system and common policies of the European Union throughout its economic and political integration in a supranational framework. 2
8) To be able to evaluate the current legal, financial and institutional changes that the EU is going through. 2
9) To explain the dynamics of enlargement processes of the EU by identifying the main actors and institutions involved and compare previous enlargement processes and accession process of Turkey. 2
10) To be able to analyze the influence of the EU on political, social and economic system of Turkey. 2
11) To acquire insight in EU project culture and to build up project preparation skills in line with EU format and develop the ability to work in groups and cooperate with peers. 2
12) To be able to recognize theories and concepts used by the discipline of international relations and relate them to the historical development of the EU as a unique post-War political project. 3