Nutrition and Dietetics
Course Details
KTO KARATAY UNIVERSITY
Faculty of Health Sciences
Programme of Nutrition and Dietetics
Course Details
Faculty of Health Sciences
Programme of Nutrition and Dietetics
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 99500008 | Research in Health Science and Bioistatistics | 3 | Autumn | 5 | 2+2+0 | 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) | Asst. Prof. Gülfidan BAŞER |
| Instructor Assistant(s) | - |
Course Content
General concepts, terminology and concepts related to biostatistics, 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 | |
| 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 |
|---|---|---|
| P2 | Ability to identify, define, interpret, formulate and solve problems in the field; ability to select and apply appropriate analysis and intervention approaches for this purpose | 4 |
| P5 | To have taken at least two out-of-field courses in their education programmes | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Makes, interprets and evaluates descriptive statistics by applying SPSS program. | P.2.9 | 1,7 |
| O2 | Knows the basic concepts of statistics and research methods. | P.5.7 | 1,7 |
| O3 | Knows the research design, literature review, determining the target group and data collection methods while designing the research. | P.5.8 | 1,7 |
| ** 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 |
|---|---|---|
| Attendance | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Listening | - | - |
| 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) | 1 | 15 | 15 |
| 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 | 15 | 15 |
| Other | 1 | 15 | 15 |
| Total Work Load: | 88 | ||
| Total Work Load / 30 | 2,93 | ||
| Course ECTS Credits: | 3 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P5 |
|---|---|---|---|
| O1 | Makes, interprets and evaluates descriptive statistics by applying SPSS program. | 5 | - |
| O2 | Knows the basic concepts of statistics and research methods. | - | 5 |
| O3 | Knows the research design, literature review, determining the target group and data collection methods while designing the research. | - | 5 |