| AMERICAN CULTURE AND LITERATURE | |||||
| 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 | Spring | 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) | Upon graduation, students will acquire key skills and attributes to conduct research to use research tools, to solve problems, to communicate effectively and to transfer skills to the workplace. | |
| 2) | Upon graduation, students will have developed the ability to discuss key issues in fluent English. | |
| 3) | Upon graduation, students will have developed the ability to compose written documents in English with a mature prose style. | 4 |
| 4) | Upon graduation, students will have gained broad knowledge of the American and English literary canons. | 4 |
| 5) | Upon graduation, students will have developed the ability to analyze, synthesize and criticize sophisticated works of American and English literature. | 4 |
| 6) | Upon graduation, students will have achieved in depth the understanding of contemporary American culture. | 3 |
| 7) | Upon graduation, students will have developed the ability to draw links among diverse literary texts and documents and establish critical connections and adopt an interdisciplinary attitude. | 3 |
| 8) | Upon graduation, students will be able to develop new projects individually or in teams. | 3 |
| 9) | Upon graduation, students will be able to apply their knowledge into their lives for interdisciplinary problem-solving and solutions. | 4 |