Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Biostatistics

Course Code	: VET104
Course Type	: Required
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: -

Theory	: 1
Prt.	: 1
Credit	: 2
Lab	: 0
ECTS	: 2

Objectives of the Course

Teaching the students statistical basic concept and knowledge , use of statistic in the area of medical science, the principles of significance tests

Course Content

Description of the statistics and the biostatistics, basic concepts related to statistics, frequency distributions, descriptive criteria for the distributions means, standard deviation, standard error, variance, variation coefficient, tables and figures, theoretical distributions, sampling methods, significance tests, correlation and regression analysis.

Name of Lecturer(s)

Prof. Hüsnü Erbay BARDAKÇIOĞLU

Prof. Mehmet Kenan TÜRKYILMAZ

Learning Outcomes

1.	To be able to conceive statistical terms and concepts
2.	To be able to interpret the results of statistical assessment related to medical sciences
3.	To be able to have basic information necessary for lessons in which mathematical concepts and models are used in later stages of training and educational programme
4.	To be able to have basic facilities necessary for the areas demanding statistical information and practice
5.	Knows and interprets table and graphic preparation techniques
6.	To collect samples and to transfer and/or store them in proper conditions, to use proper analysis methods, and to interpret these results

Recommended or Required Reading

1.	Sümbüloğlu, K., Sümbüloğlu, V. (2005): Biyoistatistik. Hatiboğlu Matbaası, Ankara
2.	Özdamar K (2004): Paket Programlar ile İstatistiksel Veri Analizi, Kaan Kitabevi, Eskişehir.
3.	Tekin, M.E. (2010): Örneklerle Bilgisayarda İstatistik. Selçuk Üniversitesi Basımevi, Konya
4.	Mrode, R.A. (2005): Linear Models for the Prediction of Animal Breeding Values. CABI publishing, Cambridge, USA.
5.	Petrie, A., Watson, P. (1999): Statistics for Veterinary and Animal Science. Blackwell Science Ltd.

Weekly Detailed Course Contents

Week 1 - Theoretical

Description of the statistics, basic concepts related to statistics

Week 1 - Practice

Biosecurity information for the course, and discussion with the students the issue related to the uses of statistics in the classroom.

Week 2 - Theoretical

Frequency distributions, classification of the data, to be make up the tables of frequency

Week 2 - Practice

Sample analysis related to make up the table of frequency distribution

Week 3 - Theoretical

Descriptive criteria for the distributions arithmetic mean, geometric mean, harmonic mean, weighted mean

Week 3 - Practice

Making to the students sample analysis related to arithmetic mean, geometric mean, harmonic mean, weighted mean

Week 4 - Theoretical

Elevation value, median value, quarter and percentages, prevalence criteria of distribution

Week 4 - Practice

Making to the students sample analysis related to elevation value, median value, quarter and percentages

Week 5 - Theoretical

Distribution interval, standard deviation, standard error, variance, variation coefficient

Week 5 - Practice

Sample analysis related to Distribution interval, standard deviation, standard error, variance, variation coefficient

Week 6 - Theoretical

Tables and figures, the techniques of table preparation, table types, having the general and a special goal tables

Week 6 - Practice

Sample analysis related to preparation of table

Week 7 - Theoretical

Midterm exam/The techniques of graphic preparation, graphic types, bar graphic, line graphic, distribution rectangles, distribution polygon, pie graphic

Week 7 - Practice

Making to the students sample analysis related to preparation of graphic

Week 8 - Theoretical

Normal distribution, binominal distribution, poisson distribution

Week 8 - Practice

Normal distribution, binominal distribution, poisson distribution

Week 9 - Theoretical

Sampling, sampling methods, simple random sampling, stratified random sampling, cluster sampling, systematic sampling, sampling error

Week 9 - Practice

Sampling problem analysis related to sampling methods Making to the students

Week 10 - Theoretical

The significance tests, conformity to normal distribution, significance control of difference between two means (t-test

Week 10 - Practice

Sample analyses related to the significance tests, conformity to normal distribution, significance control of difference between two means (t-test)Making to the students

Week 11 - Theoretical & Practice

The significance control of difference between two percentage, variance analysis

Week 12 - Theoretical & Practice

Sample analyses related to the significance control of difference between two percentage, variance analysis

Week 13 - Theoretical

Chi-square test

Week 13 - Practice

Sample problem analysis related to Chi-square test

Week 14 - Theoretical

Correlation and regression analysis, time series analysis

Week 14 - Practice

Sample problem analysis related to correlation and regression analysis, sample problem analysis related to time series analysis

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	1	14
Lecture - Practice	14	0	1	14
Assignment	1	0	8	8
Midterm Examination	1	4	1	5
Final Examination	1	6	1	7
TOTAL WORKLOAD (hours)				48

Contribution of Learning Outcomes to Programme Outcomes

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Person Responsible for Information Package