Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / MBG507 - MONECULER BIOLOGY AND GENETICS

Code: MBG507 Course Title: DATA ANALYSIS WITH PACKET PROGRAMS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Fall Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department MONECULER BIOLOGY AND GENETICS
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer MUSA KAR (musa.kar@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Windows based data analysis package programs (Preparatory Statistical Software). Introduction to SPSS. Data Entry to Packet Programs. Data Generation. Creating Tables. Graph Drawing. Specifying Statistical Calculation. parametric Tests-I (z and t tests). Parametric Tests-II (Single and Dual Orientation Analysis of Variance). Parametric Tests-III (ANOVA, GLM and Covariance Analysis in Factorial ANOVA and Icice groups). nonparametric tests. simple linear regression and correlation analysis. multiple linear regression and correlation analysis. log-Linear Analysis. logistic regression analysis. reliability and question analysis

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 the student can analyze the data obtained by the scientific study using statistical calculations. PO-3 Ability to identify problems in Molecular Biology and genetics, to establish hypotheses for solving problems and to be able to solve hypothesis using various observational and experimental methods
PO-6 Ability to independently carry out an activity that requires expertise in the field
 		Examination
Practice Exam
LO-2 the student learns the hypothesis concept, gains the ability to test the hypothesis accuracy or falsehood PO-3 Ability to identify problems in Molecular Biology and genetics, to establish hypotheses for solving problems and to be able to solve hypothesis using various observational and experimental methods
PO-6 Ability to independently carry out an activity that requires expertise in the field
 		Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Statistical techniques will be applied by using Windows based package programs
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Statistics and research process Explaining, Question and answer teaching method, practical representation on a computer.
2 regulation of the data and frequency distributions Explaining, Question and answer teaching method, practical representation on a computer.
3 Central tendency, Distribution measures, Normal distribution Explaining, Question and answer teaching method, practical representation on a computer.
4 Central tendency, Distribution measures, Normal distribution Explaining, Question and answer teaching method, practical representation on a computer.
5 The theory of statistical results, Explaining, Question and answer teaching method, practical representation on a computer.
6 sample distributions Explaining, Question and answer teaching method, practical representation on a computer.
7 Single sample hypothesis test Explaining, Question and answer teaching method, practical representation on a computer.
8 mid-term exam
9 t-test, Z-test Explaining, Question and answer teaching method, practical representation on a computer.
10 depended sample test Explaining, Question and answer teaching method, practical representation on a computer.
11 Anova testi Explaining, Question and answer teaching method, practical representation on a computer.
12 non parametric tests Explaining, Question and answer teaching method, practical representation on a computer.
13 correlation regression analysis Explaining, Question and answer teaching method, practical representation on a computer.
14 final exam
Recommend Course Book / Supplementary Book/Reading
1 Paket prgoramlar ile istastistiksel veri analizi, Kazım ÖZDAMAR, Nisan Kitabevi Yayınları , Eğitim Yayınları
Required Course instruments and materials

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

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 3 6 18
       b) Search in internet/Library 3 14 42
       c) Performance Project 3 14 42
       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 12 1 12
mid-term exam 1 1 1
Own study for final exam 3 1 3
final exam 20 1 20
0
0
Total work load; 180