MOLECULAR BIOLOGY AND GENETICS (MASTER) (WHIT THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Ders Genel Tanıtım Bilgileri

Course Code: 3015002017
Ders İsmi: Computatİonal Bioistatistic
Ders Yarıyılı: Fall
Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 7
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Anabilim Dalı/Lisansüstü Seçmeli
Course Level:
Master TR-NQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. Meliha Burcu IRMAK YAZICIOĞLU
Course Lecturer(s): Prof. Dr. Meliha Burcu IRMAK YAZICIOĞLU
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: The objective of the course is to teach biostatistical aspects and statistic analysis of biological data.
Course Content: General mathematical and statistical principles that are applicable for biology and their aplications

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) The students will be able to take an appropriate statistical technique for a data set.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) The students will have detailed knowledge about statistical data analysis.
Field Specific Competence
1) The students will have knowledge about regression and correlation, Chi-Square and Multiple Comparison Tests.
2) The students will learn about t-test and f-test.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Description of biostatistics and introductory information Textbook and Lecture notes
2) Standard Deviation Textbook and Lecture notes
3) Regression and correlation analysis Textbook and Lecture notes
4) Chi-Squared Test Textbook and Lecture notes
5) Multiple Comparison Test Textbook and Lecture notes
6) Entering data into Excel and JMP Programs Textbook and Lecture notes
7) Calculation of Average Textbook and Lecture notes
8) Midterm
9) Calculation of Average Textbook and Lecture notes
10) F-test Textbook and Lecture notes
11) F-test Textbook and Lecture notes
12) Creation of the Summary Table Textbook and Lecture notes
13) Using formula for data evaluation Textbook and Lecture notes
14) Using formula for data evaluation Textbook and Lecture notes
15) Final

Sources

Course Notes / Textbooks: Biyoistatistik, İsmail Kocaçalışkan, Nobel Yayın, Ankara, 2010
Temel Biyoistatistik, Mustafa Şenocak, Çağlayan Kitabevi, İstanbul, 2000.
Biyoistatistik Uygulama Kitabı, Kadir Sümbüloğlu, Vildan Sümbüloğlu, Hatiboğlu Yayınları, Ankara, 2005
References: Biyoistatistik, İsmail Kocaçalışkan, Nobel Yayın, Ankara, 2010
Temel Biyoistatistik, Mustafa Şenocak, Çağlayan Kitabevi, İstanbul, 2000.
Biyoistatistik Uygulama Kitabı, Kadir Sümbüloğlu, Vildan Sümbüloğlu, Hatiboğlu Yayınları, Ankara, 2005

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

4

Program Outcomes
1) Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources.
2) Use of advanced theoretical and practical knowledge within the field.
3) Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field.
4) Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field.
5) Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data.
6) Organize and implement project and activities for social environment with a sense of social responsibility.
7) Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level.
8) Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.
9) Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach.
10) Determine learning needs and direct the learning.
11) Develop positive attitude towards lifelong learning.
12) Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field.
13) Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security.
14) Conduct studies at an advanced level in the field independently.
15) Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field.
16) Planning and managing activities towards the development of subordinates in the framework of a project.

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources.
2) Use of advanced theoretical and practical knowledge within the field.
3) Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field.
4) Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field.
5) Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data.
6) Organize and implement project and activities for social environment with a sense of social responsibility.
7) Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level.
8) Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.
9) Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach.
10) Determine learning needs and direct the learning.
11) Develop positive attitude towards lifelong learning.
12) Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field.
13) Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security.
14) Conduct studies at an advanced level in the field independently.
15) Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field.
16) Planning and managing activities towards the development of subordinates in the framework of a project.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Alan Çalışması
Anlatım
Course
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Sözlü sınav
Gözlem
Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 7 % 10
Midterms 1 % 30
Semester Final Exam 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Study Hours Out of Class 15 5 75
Homework Assignments 10 4 40
Midterms 1 3 3
Final 1 3 3
Total Workload 166