ECONOMICS AND FINANCE | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
BME3005 | Biostatistics | Fall | 2 | 2 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL |
Course Lecturer(s): |
Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL |
Recommended Optional Program Components: | None |
Course Objectives: | - The course provides an introduction to selected important topics in biostatistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types; regression analysis, confidence intervals, correlations |
The students who have succeeded in this course; - The students who have succeeded in this course; I. Interpret statistical results correctly, effectively, and in context. II. Select an appropriate test for comparing two or more populations, and interpret and explain a p-value III. Understand the concept of the power of data. IV. Calculate and interpret confidence intervals for population means and proportions V. Understand regression analysis and correlation of variables. |
Design of Experiments, Statistical programming: , Exploratory Data Analysis and Descriptive Statistics, Probability Theory, Sampling Distributions and the Central Limit Theorem, Estimation, Statistical Inference, Contingency tables, Nonparametric Tests, Power and sample size, ANOVA, Correlation and Regression, Logistic regression, Survival Analysis, applications on biological datasets. |
Week | Subject | Related Preparation |
1) | Introduction to biostatistics | |
2) | Descriptive Statistics | |
3) | Probability Theory | |
4) | Sampling Distributions and the Central Limit Theorem | |
5) | ANOVA | |
6) | The Special Case of Two Groups: the t test | |
7) | Contingency tables, Chi Square Test, z-test | |
8) | Fisher Exact Test, Relative Risk, Odds Ratio | |
9) | Power and Sample size | |
10) | Paired t-test, Repeated Measures of Analysis of Variance, McNemar's Test | |
11) | Nonparametric Tests: Mann-Whitney Rank-Sum Test, Wilcoxon Signed-Rank Test | |
12) | Nonparametric Tests: Kruskal-Wallis Test, Friedman Test | |
13) | Confidence Intervals | |
14) | Correlation and Regression |
Course Notes / Textbooks: | Primer of Biostatistics, Stanton A. Glantz, McGraw-Hill, 7th Edition Fundamental of Biostatistics, Bernard Rosner, Cengage Learning, 8th Edition |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 5 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 7 | 98 |
Quizzes | 5 | 1 | 5 |
Midterms | 1 | 3 | 3 |
Final | 1 | 3 | 3 |
Total Workload | 151 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. | 3 |
2) | Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. | 2 |
3) | Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. | 1 |
4) | Analyze the interventions of politics to the economics and vice versa. | 3 |
5) | Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. | 2 |
6) | Understand current and new economic events and how the new approaches to the economics are formed and evaluating. | 2 |
7) | Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. | 3 |
8) | Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. | 2 |
9) | Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. | 2 |
10) | Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. | 3 |