BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| MOLECULAR BIOLOGY AND GENETICS | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO2062 | Applied Statistics | Fall | 3 | 0 | 3 | 6 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi SERKAN YEŞİLYURT |
| Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. İPEK ALTINBAŞAK FARİNA |
| Recommended Optional Program Components: | None |
| Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics |
Learning Outcomes
|
The students who have succeeded in this course; 1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion 2. To construct and interpret confidence interval estimates for the mean and the proportion 3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion 4. How to use hypothesis testing for comparing the difference between the means and proportion of populations 5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations 6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation 7. How to use regression analysis to investigate the relationship between variables. |
Course Content
| Sampling and Sampling Distributions Sampling Distribution Properties Point and Interval Estimates Confidence Interval for population mean Confidence Intervals for the Population Proportion, π Fundamentals of Hypothesis Testing: One-Sample Tests Hypothesis Testing for Mean and Proportion Two-Sample Tests for Mean Two-Sample Tests for Proportion One-Way Analysis of Variance Two-Way Analysis of Variance Chi-Square Tests and Nonparametric Tests Introduction to Simple Linear Regression |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Sampling and Sampling Distributions | |
| 2) | Point and Interval Estimates | |
| 3) | Sampling Distribution Properties | |
| 4) | Confidence Interval for population mean | |
| 5) | Confidence Intervals for the Population Proportion, π | |
| 6) | Fundamentals of Hypothesis Testing: One-Sample Tests | |
| 7) | Hypothesis Testing for Mean and Proportion | |
| 8) | Review | |
| 9) | Two-Sample Tests for Mean | |
| 10) | Two-Sample Tests for Proportion | |
| 11) | Analysis of Variance | |
| 12) | Chi-Square Tests and Nonparametric Tests | |
| 13) | Introduction to Simple Linear Regression | |
| 14) | Review |
Sources
| Course Notes / Textbooks: | Basic Business Statistics Concepts and Applications Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal. |
| References: | . |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 4 | % 20 |
| Midterms | 1 | % 35 |
| Final | 1 | % 45 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 55 | |
| PERCENTAGE OF FINAL WORK | % 45 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 150 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases. | 3 |
| 2) | Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format. | 4 |
| 3) | Develop critical, creative and analytical thinking skills. | 5 |
| 4) | Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish. | 3 |
| 5) | Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills. | 4 |
| 6) | Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods. | 4 |
| 7) | Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills. | 3 |
| 8) | Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects. | 5 |
| 9) | Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them. | 4 |
| 10) | Search and use literature to improve himself/herself and follow recent developments in science and technology. | 5 |
| 11) | Be aware of the national and international problems in the field and search for solutions. | 4 |