SEN2212 Data Structures and Algorithms IIBahçeşehir UniversityDegree Programs INTERIOR ARCHITECTURE AND ENVIRONMENTAL DESIGNGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
INTERIOR ARCHITECTURE AND ENVIRONMENTAL DESIGN
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
SEN2212 Data Structures and Algorithms II 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
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) Setting up various spaces in national and international contexts, carrying out designs, planning and applications that could satisfy various user groups and respond various requirements in the field of Interior Architecture,
2) Analyzing the information gathered from the framework of actual physical, social and economical constraints and user requirements, and synthesizing these with diverse knowledge and considerations in order to create innovative spatial solutions,
3) Generating creative, innovative, aesthetic and unique spatial solutions by using tangible and abstract concepts,
4) Using at least one of the illustration and presentation technologies competently, that the field of interior architecture requires,
5) Reporting, presenting and transferring the design, practice and research studies to the specialists or laymen by using visual, textual or oral communication methods, efficiently and accurately,
6) Embracing and prioritizing man-environment relationships, user health, safety and security, and universal design principles in the field of interior architecture,
7) Design understanding and decision making that respects social and cultural rights of the society, cultural heritage and nature,
8) Being aware of national and international values, following developments and being equipped about ethical and aesthetical subjects in the fields of interior architecture, design and art,
9) Having absolute conscious about legal regulations, standards and principles; and realizing professional ethics, duties and responsibilities in the field of Interior Architecture,