FACULTY OF ENGINEERING

Department of Food Engineering

MATH 150 | Course Introduction and Application Information

Course Name
Research Methods and Biostatistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 150
Fall/Spring
3
0
3
6

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Lecture / Presentation
Course Coordinator -
Course Lecturer(s)
Assistant(s)
Course Objectives The aim of the course is to let students understand the statistical methods used during the research in health sector. During the course the students will be provided with the process of research in the healthcare sector by including the methods of data collection and statistical analysis.
Learning Outcomes The students who succeeded in this course;
  • will be able to explain the basic statistical programs and methods used in healthcare, medical and bioengineering.
  • will be able to explain the basic biostatistics methods used in the health sector.
  • will be able to define statistical studies related to these fields.
  • will be able to make inferences in the fields of health, medical and engineering.
  • will be able to make decisions with the data obtained in these areas by using statistical methods.
Course Description The course content is designed in twofold. In the first part the theoretical background of statistical analysis will be discussed. In the second part of the semester, demographic distribution, public health and the analysis and grouping of thee data in the healthcare sector will be discussed with examples.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Developing a research model and introduction and review of basic statistics Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 1
2 Examples, frequency distributions and descriptive measures Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 2
3 Probability Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 2
4 Probability II Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 3,4,5
5 Sampling distribution, estimation and confidence intervals Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 6
6 Hypothesis testing I Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 7
7 Hypothesis testing II Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 8
8 Midterm
9 Correlation and regression Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 11
10 Chi-square tests Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 9
11 Variance analysis (ANOVA) Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
12 Statistical programme Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
13 Examples and case study Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
14 Case study Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0 Bölüm 12
15 Semester Review
16 Final exam

 

Course Notes/Textbooks

Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016  ISBN: 978-1-305-26892-0 

Suggested Readings/Materials

“Fundementals of Biostatistics” by Rostner, B,  Duxbury press, 5th Edition,2005. ISBN-13: 978-0534418205

“Biostatistics, A Foundation for Analysis in the Health Sciences” by Wayne Daniel, Wiley, 10th Edition, 2013, ISBN-13: 978-1118302798

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
25
25
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
35
35
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Being able to transfer knowledge and skills acquired in mathematics and science into engineering,
2 Being able to identify and solve problem areas related to Food Engineering,
3 Being able to design projects and production systems related to Food Engineering, gather data, analyze them and utilize their outcomes in practice,
4

Having the necessary skills to develop and use novel technologies and equipment in the field of food engineering,

5

Being able to take part actively in team work, express his/her ideas freely, make efficient decisions as well as working individually,

6

Being able to follow universal developments and innovations, improve himself/herself continuously and have an awareness to enhance the quality,

7

Having professional and ethical awareness,

8 Being aware of universal issues such as environment, health, occupational safety in solving problems related to Food Engineering,
9

Being able to apply entrepreneurship, innovativeness and sustainability in the profession,

10

Being able to use software programs in Food Engineering and have the necessary knowledge and skills to use information and communication technologies that may be encountered in practice (European Computer Driving License, Advanced Level),

11

Being able to gather information about food engineering and communicate with colleagues using a foreign language ("European Language Portfolio Global Scale", Level B1)

12

Being able to speak a second foreign language at intermediate level.

13

Being able to relate the knowledge accumulated during the history of humanity to the field of expertise

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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