COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Data Assessment and Reporting
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MLBT 202
Spring
2
0
2
4
Prerequisites
None
Course Language
Turkish
Course Type
Required
Course Level
Short Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of this course is to give students the knowledge, skills and application competence to evaluate and interpret student test results.
Learning Outcomes The students who succeeded in this course;
  • will be able to describe basic statistical terms
  • will be able to evaluate the test results statistically
  • will be able to determine the sources of statistical errors that can affect test results
  • will be able to calculate statistics data
  • will be able to compare the two test results in terms of standard deviations
Course Description This course includes basic statistics information, error types in experimental data, error sources detection, variance and other precision measures, significant figures, confidence interval and confidence levels, z-test, t-test, F-test, Q test and variance analysis.
Related Sustainable Development Goals

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Course Introduction Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı
2 Basic Statistical Concepts and Tests Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 1. Bölüm
3 Significance Tests - Variance Analysis Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 4. Bölüm
4 Ki squared Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 4. Bölüm
5 Ki squared Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 4. Bölüm
6 Correlation and Regression Analysis Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 6. Bölüm
7 Correlation and Regression Analysis Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 6. Bölüm
8 Mid Term
9 Evaluation of Results Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 9. Bölüm
10 Experimental Design Methods I Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 10. Bölüm
11 Experimental Design Methods II Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 11. Bölüm
12 Experimental Design Methods III Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 12. Bölüm
13 Reporting Techniques Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 13. Bölüm
14 Reporting Techniques Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı, 13. Bölüm
15 Review of the semester Course Note
16 Final Exam Final Exam
Course Notes/Textbooks

Sümbüloğlu K., 2007. Biyoistatistik.,12. Baskı

Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
50
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
4
64
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
10
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
Final Exams
1
15
    Total
121

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have knowledge on theories, concepts, methods and tools which are the basis of Laboratory Technology.

X
2

To be able to synthesize, analyze, interpret, question, criticize and follow professional legal regulations.

X
3

To be able to use the theoretical knowledge acquired in the field of application and improve solutions for problems.

X
4

To be able to work effectively as an individual and on multidisciplinary teams and use them in the working environment.

X
5

To be able to use computer programs and information and communication technologies at the level required by his/her profession.

X
6

To be aware of the necessity of lifelong learning, monitor developments in science and technology and constantly renew itself.

X
7

To be able to have a professional and ethical responsibility.

X
8

To be able to have the ability to communicate effectively in Turkish both oral and written.

9

To be able to monitor the developments in the field and to communicate with colleagues by using English at least at a level of European Language Portfolio A2 General Level.

10

To be able to know the concepts of work safety, environmental protection, quality and fulfill their requirements.

X

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