COMPUTER ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 5010003035 | ||||||||
Ders İsmi: | Biostatistics | ||||||||
Ders Yarıyılı: | Fall | ||||||||
Ders Kredileri: |
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Language of instruction: | TR | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Üniversite Seçmeli | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Öğr.Gör. Erkan KOLAT | ||||||||
Course Lecturer(s): |
Öğr.Gör. Esma TAYRAN Öğr.Gör. Yasemin GÜNTER |
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Course Assistants: |
Course Objectives: | To teach them to choose statistical methods correctly and to interpret the results correctly in order to collect and process data in the field of health sciences, and to take decisions about society. |
Course Content: | Biostatistics and Definitions of Some Basic Concepts, Measurement Format of Data, Use of Biostatistics in Health Sciences, Frequency Distributions and Descriptive Measures, Tables and Graphs, Theoretical Distributions, Population Mean Significance Test, Population Ratio Significance Test, Significance Test of Difference Between Two Peers, Difference Between Two Means Significance Test, Chi-Square Test, Analysis of Variance, Correlation Analysis |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Basic Concepts | |
2) | Frequency Distributions | |
3) | Central Tendency and Distribution Measures | |
4) | Central Tendency and Distribution Measures | |
5) | Tables and Graphics | |
6) | Tables and Graphics | |
7) | Probability Distributions | |
8) | Midterm Exam-1 | |
9) | Hypothesis Tests | |
10) | Hypothesis Tests | |
11) | Hypothesis Tests | |
12) | Midterm Exam-2 | |
13) | Variance Analysis | |
14) | Correlation | |
15) | Regression Analysis | |
16) | Final Exam |
Course Notes / Textbooks: | Slaytlar |
References: | Akgül, A., (2005). Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri. Sümbüloğlu, K., Sümbüloğlu, V., (2016) Biyoistatistik,17.Baskı, Hatiboğlu yayınevi. |
Ders Öğrenme Kazanımları | 1 |
2 |
3 |
4 |
5 |
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Program Outcomes | ||||||||||||||||
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | ||||||||||||||||
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | ||||||||||||||||
3) PO 2.1) Identifying complex engineering problems | ||||||||||||||||
4) PO 2.2) Defining complex engineering problems | ||||||||||||||||
5) PO 2.3) Formulating complex engineering problems | ||||||||||||||||
6) PO 2.4) Ability to solve complex engineering problems | ||||||||||||||||
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | ||||||||||||||||
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | ||||||||||||||||
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | ||||||||||||||||
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
12) PO 4.3) Ability to use information technologies effectively. | ||||||||||||||||
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | ||||||||||||||||
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | ||||||||||||||||
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | ||||||||||||||||
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | ||||||||||||||||
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | |
2) | PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | |
3) | PO 2.1) Identifying complex engineering problems | |
4) | PO 2.2) Defining complex engineering problems | |
5) | PO 2.3) Formulating complex engineering problems | |
6) | PO 2.4) Ability to solve complex engineering problems | |
7) | PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | |
8) | PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | 5 |
9) | PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | |
10) | PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
11) | PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
12) | PO 4.3) Ability to use information technologies effectively. | |
13) | PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | |
14) | PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | |
15) | PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | |
16) | PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | |
17) | PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
Anlatım | |
Bireysel çalışma ve ödevi | |
Course | |
Grup çalışması ve ödevi |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 1 | % 30 |
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 | 2 | 28 |
Study Hours Out of Class | 14 | 1 | 14 |
Homework Assignments | 1 | 10 | 10 |
Midterms | 1 | 20 | 20 |
Final | 1 | 20 | 20 |
Total Workload | 92 |