Audiology
Course Details
KTO KARATAY UNIVERSITY
Faculty of Health Sciences
Programme of Audiology
Course Details
Faculty of Health Sciences
Programme of Audiology
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 99500008 | Health Research and Biostatistics | 3 | Autumn | 5 | 2+0+2 | 3 | 3 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Assoc. Prof. Berna BAYIR |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Assoc. Prof. Berna BAYIR | - | [email protected] |
Course Content
General concepts related to biostatistics, terminology and concepts, classification of statistical data, sections, grouping of data, frequency tables and graphical drawings, analysis and interpretation of related tests
Objectives of the Course
The main aim of the course is to teach the basic concepts of statistics, the place and use of biostatistics in work life, the place of biostatistics in decision-making processes and the importance of scientific decision making.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | X |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P16 | To be competent in detecting and eliminating expression disorders that may occur in the written and oral expression forms of the Turkish language, producing correct sentences and meaningful speech texts, and scientific research methods. | 5 |
| P18 | Students gain the competence to solve the problems they encounter in their academic and professional lives by using information technologies effectively and efficiently. | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | To have knowledge about scientific research methods (selecting the subject, limiting it and scanning the relevant sources), to have an idea about writing down the research results and to choose the right source. | P.16.6 | 1 |
| O2 | Ability to define the basic concepts of information technologies and computer systems and explain the relationships between these concepts. | P.18.1 | 1 |
| O3 | Ability to write simple programs by understanding computer programming and algorithm logic at a basic level | P.18.5 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to Statistics and Biostatistics - Basic Definitions and Concepts |
| 2 | Frequency Tables, Crosstabs, Single and Bivariate Graphs |
| 3 | Central Tendency Measures |
| 4 | Distribution Measures |
| 5 | Introduction to SPSS |
| 6 | Data calculation, transformation and descriptive statistics |
| 7 | Midterm |
| 8 | Probability, Probability Distributions |
| 9 | Universe and Sampling, Sampling Distributions |
| 10 | Introduction to Hypothesis Testing and Single Sample Tests |
| 11 | Two Sample Tests |
| 12 | More than Two Sample Tests |
| 13 | Parametric and Nonparametric Hypothesis Tests - SPSS |
| 14 | Correlation analysis and general applications |
Textbook or Material
| Resources | SPSS 22 Uygulamalı Biyoistatistik, Yalçın Karagöz NOBEL AKADEMİK YAYINCILIK, 2019. |
| SPSS 22 Uygulamalı Biyoistatistik, Yalçın Karagöz NOBEL AKADEMİK YAYINCILIK, 2019. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 2 | 28 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 20 | 20 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 91 | ||
| Total Work Load / 30 | 3,03 | ||
| Course ECTS Credits: | 3 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P16 | P18 |
|---|---|---|---|
| O1 | To have knowledge about scientific research methods (selecting the subject, limiting it and scanning the relevant sources), to have an idea about writing down the research results and to choose the right source. | 5 | - |
| O2 | Ability to define the basic concepts of information technologies and computer systems and explain the relationships between these concepts. | - | 4 |
| O3 | Ability to write simple programs by understanding computer programming and algorithm logic at a basic level | - | 4 |