MANAGEMENT OF HEALTH (TURKISH)
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 : 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 have theoretical and practical knowledge required to fulfill professional roles and functions of Management of Health Scşences field. 3
2) To act in accordance with ethical principles and values in management, to learn and implement related regulations and guides. 3
3) To use life-long learning, problem-solving and critical thinking skills. 3
4) To identify the process of management functions (management and organization, public relations, human resources, cost accounting, marketing) in the Management of Health Sciences field. 2
5) To take part in research, projects and activities within sense of social responsibility and interdisciplinary approach. 2
6) To have skills for planning training programs and projects according to health education needs of individual, family and the community. 2
7) To be sensitive to health problems of the community and to be able to offer solutions. 2
8) To be able to use effective communication skills; to take responsibility as a team member in collaboration with other professions. 2
9) To have skills for research, planning and practice about health systems and health information systems field within national and international level. 2
10) To be able to search for literature in health sciences and management and information sources to access to information and use the information effectively. 2
11) To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. 2
12) To be a role model with contemporary and professional identity. 2