ANTALYA BİLİM UNIVERSITY
Course Information Package

HEM 322 - Biostatistics

Basic Information

Course Code:
HEM 322
Course Name:
Biostatistics
Language of Instruction:
Turkish
Course Type:
Class
Course Level:
Bachelor
ECTS:
2.00
Instructor:
Doç. Dr. Derya ADIBELLİ

Course Objectives

To be able to statistically evaluate the data collected in the field of health and to make a decision.

Course Content

The content of the course consists of science, scientific method, statistics and biostatistics concepts, basic biostatistics concepts, variable types, SPSS program, statistical tests.

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Lecture notes.

Learning Outcomes

Code Description
LO1 Explains the basic concepts related to statistics.
LO2 Uses and interprets the frequency distribution.
LO3 Organizes and analyzes data
LO4 Uses probability distributions in statistical hypothesis tests.
LO5 Uses and evaluates sampling distributions, statistical estimation and inference.

Weekly Course Content

Week Content
1 Definitions, data types, frequency distributions, examples of frequency distributions, calculation of percentages of classes
2 Examples of descriptive data, mean, extreme value average
3 Median, peak value, geometric mean, harmonic mean, weighted average
4 Quarters and percentages, example problems, percentil rulers
5 The diffuseness measures of the distribution are standard deviation, standard error, variance, coefficient of variation in classified data
6 Table and graphic making, examples
7 Theoretical distributions, area calculations
8 Hypothesis tests, hypothesis examples
9 Parametric tests
10 Parametric tests
11 Non-parametric tests, Chi-square test
12 Non-parametric tests
13 Laboratory study
14 Laboratory study

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 14 2.00 28.00
Post-Class Individual Study 7 1.00 7.00
Post-Prectice Individual Study 4 1.00 4.00
Midterm Exam/Preparation 7 1.00 7.00
Final Exam/Preparation 14 1.00 14.00
Total Workload (Hours) 60
ECTS Credit (Workload / 25) 2

Assessment

# Assessment Type Contribution (%)
1 Midterm Exam %40
2 Final Exam %60
TOTAL %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
1
Low Contribution
2
Medium Contribution
3
High Contribution

Teaching and Learning Methods

# Method Name Description Tools
1 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Controversial Course Listening and comprehension, critical thinking Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3 Laboratory Listening, note-taking, conceptual analysis, critical thinking, questioning, and participation in discussions. Special equipment

Academic Integrity and Artificial Intelligence

Violations of scholastic honesty include, but are not limited to cheating, plagiarizing, fabricating information or citations, facilitating acts of dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students. Any for of scholastic dishonesty is a serious academic violation and will result in a disciplinary action. It is explained in Article 25 of the Directive on Associate and Undergraduate Programs of Antalya Bilim University.

Sustainable Development Goals

SDG 4