| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | SY306B2 | Biostatistics | Compulsory | 3 | 6 | 6 |
|
| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| It is a science that includes collecting data for a specific purpose, summarizing with tables and graphs, interpreting the results, explaining the confidence ratings of the results, generalization of the results obtained from the samples to the mass, researching relationship between features, making predictions about the future in various subjects, experiment regulation and observation principles. |
| Name of Lecturer(s) |
| Dr. Öğr. Üyesi Sefa Emre YILMAZEL |
| Learning Outcomes |
| 1 | Learn to compile data and present it with tables and graphs. | | 2 | Learn to calculate central tendency measures of data. | | 3 | Learn to calculate and interpret variability measures of data. | | 4 | Learn the concept, method and calculation of probability. | | 5 | Learn probability distributions and applications. |
|
| Mode of Delivery |
| Second Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| What is statistics? Its importance, Basic concepts and scale types used in statistics, Data collection and statistical serial types, Series graphics, means: arithmetic, weighted, geometric, quadratic mean, means: Median and mode, Variability measures: Variance, Standard deviation and coefficient of variation, Variability measures based on moments, Probability: Simple and conditional probability calculation, Probability: Crash and summation rule, probability distribution: Binomial, Poisson distribution and Normal distribution. |
| Weekly Detailed Course Contents |
|
| 1 | STATISTICS AND RELATED CONCEPTS DEFINITION | | | | 2 | DESCRIPTIVE STATISTICS (SHAPES AND GRAPHICS)
| | | | 3 | CENTER TRENDS MEASURES | | | | 4 | NONSENSITIVE MEANING
| | | | 5 | VARIABILITY MEASUREMENTS | | | | 6 | SKEWNESS AND KURTOSIS MEASUREMENTS
| | | | 7 | PROBABILITY AND PRINCIPLES I
| | | | 8 | MIDTERM EXAM | | | | 9 | PROBABILITY DISTRIBUTIONS | | | | 10 | DICSRETE PROBABILITY DISTRIBUTION
| | | | 11 | CONTINUOUS PROBABILIT DISTRIBUTION
| | | | 12 | STANDARD NORMAL DISTRIBUTION | | | | 13 | NORMALE APPROACH OF BINOM DISTRIBUTION | | | | 14 | SAMPLING | | | | 15 | SAMPLING DISTRIBUTIONS | | |
|
| Recommended or Required Reading |
| Uygulamalı İstatistik-I (Prof.Dr. Alaaddin BAŞAR ve Prof.Dr. Erkan OKTAY)
Bilgisayar Uygulamalı İstatistik-I (Prof.Dr. Nejmi GÜRSAKAL)
İstatistik Yöntemler(Prof.Dr. Murat KARAGÖZ) |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 8 | 8 |
| Attending Lectures | 14 | 3 | 42 |
| Question-Answer | 14 | 2 | 28 |
| Self Study | 14 | 6 | 84 |
| Individual Study for Mid term Examination | 1 | 6 | 6 |
| Individual Study for Final Examination | 1 | 8 | 8 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 2 | 1 | 1 | 2 | 3 | 1 | 1 | | | 4 | 2 | 1 | 1 | 3 | 1 | | LO2 | 2 | 1 | 1 | 2 | 3 | 1 | 1 | | | 4 | 2 | 1 | 1 | 2 | 1 | | LO3 | 2 | 1 | 1 | 2 | 3 | 1 | 1 | | | 4 | 2 | 1 | 1 | 2 | 1 | | LO4 | 2 | 1 | 1 | 2 | 3 | 1 | 1 | | | 4 | 2 | 1 | 1 | 2 | 1 | | LO5 | 2 | 1 | 1 | 2 | 3 | 1 | 1 | | | 4 | 2 | 1 | 1 | 2 | 1 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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