SEN2211 Data Structures and Algorithms IBahçeşehir UniversityDegree Programs NURSING (ENGLISH)General Information For StudentsDiploma SupplementErasmus Policy StatementBologna CommissionNational Qualifications
NURSING (ENGLISH)
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) "To plan and assess nursing care within a holistic approach, in accordance with theoretical and evidence-based practices. " 1
2) To act in accordance with ethical principles and values in Nursing practices. 1
3) To use life-long learning, problem-solving and critical thinking skills. 1
4) To use Nursing models/theories in health promotion, protection and care. 1
5) To take part in research, projects and activities within sense of social responsibility and interdisciplinary approach. 1
6) "To have skills for training and consulting according to health education needs of individual, family and the community. " 1
7) "To be sensitive to health problems of the community and and to able to offer solutions. " 1
8) "To be able to use interpersonal and intercultural communication skills effectively in Nursing pratices. " 1
9) "To be able to use healthcare/information technologies in Nursing practice and research. " 1
10) To be able to search for literature in health sciences databases and information sources to access to information and use the information effectively. 1
11) To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. 1
12) To take responsibility and lead in events in order to contribute to health services and Nursing profession. 1