Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF LETTERS & SCIENCE / MBG 209 - MOLECULAR BIOLOGY AND GENETICS

Code: MBG 209 Course Title: BIOSTATISTICS Theoretical+Practice: 3+0 ECTS: 3
Year/Semester of Study 2 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department MOLECULAR BIOLOGY AND GENETICS
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ÖZLEM FINDIK (ofindik@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this lecture is to learn basic statistical analysis methods.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can know the basic biostatistic consepts PO-7 Work effectively in multi-disciplinary research teams
PO-8 Develop an awareness of continuous learning in relation with modern technology
Examination
LO-2 Can do analysis of a biological data as statistical PO-9 Find out new methods to improve his/her knowledge
PO-15 Have contributed to scientific advances with research and development abilities
Examination
LO-3 Can know chi-square test, analysis of anova, correlation and regration PO-16 Explain the scientific findings clearly and efficiently both in written and verbal communications.
PO-17 Survey, analyze and interpret the experimental results and to reach a scientific result using the available scientific data.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Sampling methods, Constructing graph and table in biostatistic, distribution of binom and poisson, analysis of variance, clustering, regression and correlation.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction of Biostatistics Explaining method
2 Sampling methods Explaining method
3 Constructing graph and table in biostatistic Explaining method
4 Combination and possibility Explaining method
5 Mean, median, mode Explaining method
6 Binomial distribution Explaining method
7 Poisson distribution Explaining method
8 mid-term exam
9 Data types and classification of data; quantitative and qualitative data Explaining method
10 Hypothesis tests Explaining method
11 Chi-square test Explaining method
12 Correlation Explaining method
13 Regression analysis Explaining method
14 Analysis of Variance Explaining method
15 Clustering analysis Explaining method
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Kadir Sümbüloğlu, Vildan Sümbüloğlu,(2005), Biyoistatistik, Hatiboğlu Yayıncılık.
Required Course instruments and materials
Lecture note

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 1 14 14
       b) Search in internet/Library 1 14 14
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 1 8 8
mid-term exam 2 1 2
Own study for final exam 1 8 8
final exam 2 1 2
0
0
Total work load; 90