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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 |
LO-4 |
PO-17 Survey, analyze and interpret the experimental results and to reach a scientific result using the available scientific data. PO-21 To know about computer-based analysis that can be done in the field of molecular biology. |
Examination |
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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/Poisson distribution | Explaining method |
7 | Data types and classification of data; quantitative and qualitative data | 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 |