Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF LETTERS & SCIENCE / BIY 313 - BIOLOGY

Code: BIY 313 Course Title: BIOSTATISTICS Theoretical+Practice: 4+0 ECTS: 5
Year/Semester of Study 3 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department BIOLOGY
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer SEVİL SUNGUR (sevilsungur@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Teaching appliying methods and usage of statistic methods about biology.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can explain bacis statistical terminology PO-4 Have the skills to define, model and solve the biological problems in the field of Biology and related fields
PO-6 Are able to assess and evaluate the data making use of the advanced knowledge and skills that they have acquired in the field, to define and analyze the issues connected with current technological developments finding ways to offer solutions to those issues based on the researched and evidence
PO-7 Are able to use the modern techniques and devices necessary for the current practices in the field of Biology
PO-8 Are able to collaborate both intra- and interdisciplinary by planning and managing the activities regarding the development of the members subordinate to them
PO-14 Are able to use the information and communication technology required by the field of Biology with a competence at the level of European Computer Driving License
Examination
LO-2 be able to apply data gatering, arrangment and analyze PO-2 Transfer and adapt what they have acquired in the field of Biology to other disciplines
PO-3 Are creative, resourceful in terms of conducting biological analysis and equipped with the communication and social skills necessary to take part in team work
PO-4 Have the skills to define, model and solve the biological problems in the field of Biology and related fields
PO-5 Are dedicated to improve themselves by keeping abreast of the developments in science, technology and modern topics
PO-7 Are able to use the modern techniques and devices necessary for the current practices in the field of Biology
PO-14 Are able to use the information and communication technology required by the field of Biology with a competence at the level of European Computer Driving License
Examination
LO-3 be able to use statistical package program PO-4 Have the skills to define, model and solve the biological problems in the field of Biology and related fields
PO-5 Are dedicated to improve themselves by keeping abreast of the developments in science, technology and modern topics
PO-6 Are able to assess and evaluate the data making use of the advanced knowledge and skills that they have acquired in the field, to define and analyze the issues connected with current technological developments finding ways to offer solutions to those issues based on the researched and evidence
PO-14 Are able to use the information and communication technology required by the field of Biology with a competence at the level of European Computer Driving License
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Data variety, collecting and comparing data, main statistic concepts, terms, calculating statics and analyses of results.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Data collection and sampling Classroom lessons, question and answer
2 Measures of center, measures of dispersion Classroom lessons, question and answer
3 Classification of data, the mean and variance of classified data Classroom lessons, question and answer
4 Variance, standard deviation and standard error Classroom lessons, question and answer
5 Chi square, combinations, permutations Classroom lessons, question and answer
6 Binomial distribution Classroom lessons, question and answer
7 Normal distribution, the use of normal distribution tables Classroom lessons, question and answer
8 mid-term exam
9 Binomial approximation to normal Classroom lessons, question and answer
10 Hypothesis testing, the difference between the two proportion Classroom lessons, question and answer
11 Hypothesis testing, the average difference between the two Classroom lessons, question and answer
12 Analysis of variance (one-way analysis of variance) Classroom lessons, question and answer
13 Analysis of variance (two-way analysis of variance) Classroom lessons, question and answer
14 Correlation Classroom lessons, question and answer
15 Regression Classroom lessons, question and answer
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Kaya, T., (2004) İstatistik
Required Course instruments and materials
Lecture Notes, Books, Computer, Statistical Package Programs

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) 4 14 56
Outside Class
       a) Reading 2 10 20
       b) Search in internet/Library 2 10 20
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 2 10 20
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 8 1 8
mid-term exam 2 1 2
Own study for final exam 16 1 16
final exam 2 1 2
0
0
Total work load; 144