SEN2211 Data Structures and Algorithms IBahçeşehir UniversityDegree Programs ECONOMICS AND FINANCEGeneral Information For StudentsDiploma SupplementErasmus Policy StatementBologna CommissionNational Qualifications
ECONOMICS AND FINANCE
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 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 : Assist. Prof. ÖZGE YÜCEL KASAP
Course Lecturer(s): Assist. Prof. BETÜL ERDOĞDU ŞAKAR
RA MERVE ARITÜRK
Prof. Dr. NAFİZ ARICA
Assist. Prof. 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. The teaching methods of the course are lecture and practice.


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 2 % 25
Quizzes 2 % 15
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 Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 14 2 28
Homework Assignments 1 8 8
Quizzes 2 20 40
Midterms 1 30 30
Final 1 30 30
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) Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. 2
2) Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. 2
3) Developing the ability to explain global economic events by understanding different economic perspectives. 3
4) Acquiring the ability to analyze the impact of politics on the economy and vice versa. 3
5) Gaining the competence to propose solutions to economic problems and evaluate opposing policy recommendations. 2
6) Understanding and evaluating new economic developments and approaches. 2
7) Developing the ability to convey economic news and developments through written, oral, and graphical communication. 3
8) Gaining the competence to develop structured solutions for economic issues. 2
9) Acquiring the capability to present findings that support economic assumptions using numerical and verbal skills. 2
10) Gaining the competence to follow economic information and communicate with colleagues using a foreign language. 4