ANZ2012 BiostatisticsBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
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
ANZ2012 Biostatistics Spring
2 0 2 3
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Neslihan Bektaş
Course Lecturer(s): Instructor DOĞAN AYDIN
Recommended Optional Program Components: Anestesia Center
Course Objectives: Professional life, students will be required to provide information biostatistics.

Learning Outcomes

The students who have succeeded in this course;
Discuss the use of statistics in health care.
Discuss the basic concepts of biostatistics ..
Discuss the use of statistics in medical documentation services.

Course Content

Health Services and Biostatistics I,
Health Services and Biostatistics II.
Basic Statistical Concepts, Data Classification, Frequency Tables,
research

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Health Services and Biostatistics I None
2) Health Services and Biostatistics II None
3) Basic Statistical Concepts, Data Classification, Frequency Tables, research None
4) Introduction to Excel. None
5) Descriptive Measures of Frequency Distributions-I. None
6) Descriptive Measures of Frequency Distributions-II None
7) Excel Application None
8) Table and Graphic Production None
9) Table and Graphic Production None
10) Excel Application None
11) Excel Application None
12) Excel Application None
13) Health Statistics None
14) Health Statistics None

Sources

Course Notes / Textbooks: Tıpta İstatistik Yöntem ve Uygulamaları, Yaşar Heperkan.
Biyoistatistik, Kadir Sümbüloğlu, Vildan Sümbüloğlu.
Sağlık Alanına Özel İstatistikler Yöntemler, Kadir Sümbüloğlu.
References: Bilgisayar (Excel) destekli Uygulamalı İstatistik, Mustafa Akkurt.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 1 % 10
Homework Assignments 1 % 10
Midterms 1 % 20
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Study Hours Out of Class 15 2 30
Homework Assignments 2 4 8
Midterms 1 1 1
Final 1 1 1
Total Workload 68

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) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.