NUTRITION AND DIETETICS (MASTER) (WITHOUT THESIS) | |||||
---|---|---|---|---|---|
Qualification Awarded | Program Süresi | Toplam Kredi (AKTS) | Öğretim Şekli | Yeterliliğin Düzeyi ve Öğrenme Alanı | |
Master's ( Second Cycle) Degree | 1.5 | 90 | FULL TIME |
TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 7 QF-EHEA:Second Cycle TR-NQF-HE, ISCED (1997-2013): 72 |
Course Code: | 3013002016 | ||||||||||
Ders İsmi: | Biostatistics and Decision-Making | ||||||||||
Ders Yarıyılı: |
Spring |
||||||||||
Ders Kredileri: |
|
||||||||||
Language of instruction: | |||||||||||
Ders Koşulu: | |||||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||||
Other Recommended Topics for the Course: | |||||||||||
Type of course: | Anabilim Dalı/Lisansüstü Seçmeli | ||||||||||
Course Level: |
|
||||||||||
Mode of Delivery: | Face to face | ||||||||||
Course Coordinator : | Prof. Dr. M.Emel ALPHAN | ||||||||||
Course Lecturer(s): | |||||||||||
Course Assistants: |
Course Objectives: | To be able to comprehend and use basic biostatistics issues. |
Course Content: | Definition and basic concepts of biostatistics, data collection and data presentation techniques, Probability distributions, Sampling, Sampling error, Measures of central tendency, Measures of variation, Hypothesis tests, Regression and correlation, Statistical Package Programs |
The students who have succeeded in this course;
|
Week | Subject | Related Preparation |
1) | Descriptive statistics, inferential statistics, data types, variable types, symbols and letters used in statistics | PPT prepared for lesson |
2) | Measures of location and measures of dispersion (variation) | PPT prepared for lesson |
3) | Creation of frequency table, measures of central tendency, graphical presentation of data, crosstabs, bi- and multi-directional graphs | PPT prepared for lesson |
4) | Binomial distribution, Poisson distribution and standard normal distribution | PPT prepared for lesson |
5) | Sample distribution, interval estimation, standard normal distribution and t-distribution | PPT prepared for lesson |
6) | Hypothesis, significance level, critical region and critical value | PPT prepared for lesson |
7) | Hypothesis tests (Student's T, Mann-Whitney U and Wilcoxon tests) | PPT prepared for lesson |
8) | Midterm exam | - |
9) | Hypothesis testing (One-way and Kruskal Wallis analysis of variance) | PPT prepared for lesson |
10) | Hypothesis testing (Two-way analysis of variance) | PPT prepared for lesson |
11) | Hypothesis testing (Repeated measures analysis of variance and Friedman test) | PPT prepared for lesson |
12) | Hypothesis tests (Chi-square tests) | PPT prepared for lesson |
13) | Correlation and simple linear regression analysis | PPT prepared for lesson |
14) | To describe the statistical evaluation of diagnostic tests | PPT prepared for lesson |
15) | General evaluation and discussion of the course | PPT prepared for lesson |
16) | Final exam | - |
Course Notes / Textbooks: | Ders için hazırlanmış PPT |
References: | 1-Sümbüloğlu K., Sümbüloğlu V. : Biyoistatistik, Hatiboğlu Yayınları, Ankara, 15. Basım, 2012. 2-WayneW.Daniel, Chad Lee Cross: Biostatistics : a foundation for analysis in the health sciences,10th Edition, JohnWiley & Sons, Inc., United States of America, 2013 |
Ders Öğrenme Kazanımları | 1 |
4 |
5 |
8 |
2 |
3 |
7 |
6 |
---|---|---|---|---|---|---|---|---|
Program Outcomes | ||||||||
1) Gains up-to-date evidence-based knowledge about nutrition and dietetics. | ||||||||
2) Gains information about technological tools by accessing up-to-date information. | ||||||||
3) She/He synthesizes and analyzes the scientific knowledge she has acquired using technology, develops comments, reports and solution suggestions, communicates with colleagues from different disciplines and in line with ethical principles and shares her knowledge. | ||||||||
4) When faced with problems related to her field, she/he takes responsibility, sets an example for the society, offers solutions, uses information and communication technologies by working as a team. | ||||||||
5) She/ He updates itself by adopting lifelong learning principles, evaluates, discusses and interprets scientific articles with a critical approach and statistical evidence-based practices in line with ethical principles. | ||||||||
6) She/He collects and interprets scientific information in line with ethical principles, contributes to studies that will guide national and international nutrition plans and policies, taking into account the individual and society, conducts, manages and evaluates. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Gains up-to-date evidence-based knowledge about nutrition and dietetics. | |
2) | Gains information about technological tools by accessing up-to-date information. | |
3) | She/He synthesizes and analyzes the scientific knowledge she has acquired using technology, develops comments, reports and solution suggestions, communicates with colleagues from different disciplines and in line with ethical principles and shares her knowledge. | |
4) | When faced with problems related to her field, she/he takes responsibility, sets an example for the society, offers solutions, uses information and communication technologies by working as a team. | |
5) | She/ He updates itself by adopting lifelong learning principles, evaluates, discusses and interprets scientific articles with a critical approach and statistical evidence-based practices in line with ethical principles. | |
6) | She/He collects and interprets scientific information in line with ethical principles, contributes to studies that will guide national and international nutrition plans and policies, taking into account the individual and society, conducts, manages and evaluates. |
Anlatım | |
Bireysel çalışma ve ödevi | |
Course |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 1 | % 10 |
Homework Assignments | 1 | % 20 |
Midterms | 1 | % 30 |
Semester Final Exam | 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 |
Application | 10 | 3 | 30 |
Presentations / Seminar | 3 | 10 | 30 |
Homework Assignments | 3 | 20 | 60 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 166 |