BMM302 Statistics

3 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Code BMM302
Name Statistics
Term 2024-2025 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MUTLU AVCI
Course Instructor
1


Course Goal / Objective

Teaching Basic Statistics concepts and basic statistical methods, providing students with the knowledge to compile statistical data, use these data, solve problems and evaluate them.

Course Content

Descriptive statistics: Definition and basic concepts of statistics, nature of statistical research, compiling and summarizing statistical data, measures of central tendency and dispersion, random variables and probability distributions, sampling distributions, statistical decision making, hypothesis tests, chi-square tests, contingency tables, It covers independence testing, central tendency measures, variability measures, probability and probability calculation, discrete and continuous distributions, binomial and Poisson distributions, normal distribution and continuous normal distribution methods and applications.

Course Precondition

No prerequisites.

Resources

M.R.Spiegel ve L.J. Stephens, “İstatistik”, Nobel Yayınevi (First 5 chapters) Prof.Dr. Fikri Akdeniz,”Olasılık ve İstatistik”, Baki Kitabevi

Notes

Prof.Dr. Merih İpek, “Betimsel İstatistik”, Beta Yayınevi Prof.Dr. Özer Serper, “İstatistik I -II ”, Ezgi Kitabevi


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Can express the basic concepts of statistics.
LO02 Can make regression analysis.
LO03 It compiles the collected data and can summarize and present it with simple methods.
LO04 Can visualize the data graphically
LO05 Can calculate and interpret measures of central tendency and dispersion.
LO06 Can use some statistical methods and interpret them
LO07 Can draw statistical conclusions.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Scientific problems encountered in the field of medicine and medical technologies; the ability to solve problems by applying the technical approaches of mathematics, science and engineering sciences. 5
PLO02 Yetkinlikler - Öğrenme Yetkinliği To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. 3
PLO03 Yetkinlikler - Öğrenme Yetkinliği Assess the contributions of engineering solutions on medicine, medical technologies and healthcare. 3
PLO04 Yetkinlikler - Öğrenme Yetkinliği Identifying problems related to biomedical engineering.
PLO05 Yetkinlikler - Öğrenme Yetkinliği Modeling problems related to biomedical engineering.
PLO06 Beceriler - Bilişsel, Uygulamalı Analyzing data and interpreting the results. 5
PLO07 Beceriler - Bilişsel, Uygulamalı To be able to use modern techniques and computational tools required for engineering applications. 2
PLO08 Beceriler - Bilişsel, Uygulamalı Ability to analyze and design a process in line with a defined goal.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To be able to understand the problems and wishes of the medical doctor in their scientific studies from an engineering point of view. 4
PLO10 Yetkinlikler - İletişim ve Sosyal Yetkinlik Expressing ideas verbally and in writing, clearly and concisely.
PLO11 Yetkinlikler - Alana Özgü Yetkinlik To be conscious of calibration and quality assurance systems in Biomedical Engineering.
PLO12 Beceriler - Bilişsel, Uygulamalı Design and Implement Experiments.
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to act independently, set priorities and creativity.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Being aware of national and international contemporary issues in the field of Biomedical Engineering.
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Ability to work in interdisciplinary teams. 3
PLO16 Yetkinlikler - Alana Özgü Yetkinlik To have a sense of professional and ethical responsibility.


Week Plan

Week Topic Preparation Methods
1 Introduction to Statistcs : Discribe of statistics and basic subjects of statistics,The Nature of Statistical Analysis. Collecting and summurizing data : organizing the data in to tables and graphics Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
2 Frequency Tables Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
3 Introduction to measures of central tendency and The Classification of Measures of Central Tendency Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
4 Mode, median, The Quartiles, Deciles and Percentiles Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
5 Introduction of measures of dispersion, Variance and Standart deviation, Standardized Observations Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
6 The Coefficient of Variation Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
7 Discrete and continuous random variables and probability distributions Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Topic repetition and question solving Ölçme Yöntemleri:
Yazılı Sınav
9 Interval Estimation : The Interval Estimation for Population Mean. The Interval Estimation for Population proportion. Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
10 Samplig Distributions. Introduction to Hypothesis Testing and basic issues. Hypothesis Testing for population mean Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
11 Hypothesis Testing for differences between two population means Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
12 Hypothesis Testing for population proportion Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
13 Hypothesis Testing for differences between two population proportions Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
14 Chi- Square Tests . Contingency Tables. Chi-Square independence test Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
15 Applications of Biostatistics Reading the relevant chapter of text book Öğretim Yöntemleri:
Anlatım
16 Term Exams Topic repetition and question solving Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Topic repetition and question solving Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 15 3 45
Out of Class Study (Preliminary Work, Practice) 15 2 30
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 2 2
Final Exam 1 2 2
Total Workload (Hour) 79
Total Workload / 25 (h) 3,16
ECTS 3 ECTS

Update Time: 17.05.2024 03:13