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Information
| Code | BİS500 |
| Name | |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
1 |
Course Goal / Objective
Giving theoretical knowledge about probability, statistics and biostatistics
Course Content
Basic concepts, variables, discrete and continuous variables, confidence intervals, sample size, probability and probability distributions.
Course Precondition
None
Resources
Hogg, R. V., Tanis, E. A., & Zimmerman, D. L. (2010). Probability and statistical inference (pp. 387-389). Upper Saddle River, NJ, USA:: Pearson/Prentice Hall.
Notes
Hogg, R. V., Tanis, E. A., & Zimmerman, D. L. (2010). Probability and statistical inference (pp. 387-389). Upper Saddle River, NJ, USA:: Pearson/Prentice Hall.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns the concept of probability and makes the definition of probability. |
| LO02 | Defines the Concept of Random Variable, tells the Distribution of a Random Variable. |
| LO03 | Calculate the conditional probabilities of Independent Events, apply Bayes' Theorem |
| LO04 | Explain the concepts of expected value, mean and variance |
| LO05 | Explain Bernoulli trials and binomial, Geometric and Poisson distributions with examples. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Students explain demographic terminologies and statistical methods in the field of health sciences. | 2 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Students understand and use medical terminology. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Students collect data from research studies, analyze, and make inferences | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Students knows the system of international classification of diseases, obtain and analyze hospital statistics. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Students design scientific research studies in order to give response to the problem arising from health and clinical sciences | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Students select the appropriate statistical procedure for analysis , apply and make inferences. | 2 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Students use the necessary statistical packages for analysis, if necessary write and develop software. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Students follow the latest development in medical informatics and employ frequently used tools and methods. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Students design health survey, determine the sampling method and conduct the survey | 2 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. | |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Random Variables | Reading | Öğretim Yöntemleri: Anlatım |
| 2 | Probability, sampling | Reading | Öğretim Yöntemleri: Anlatım |
| 3 | Bayes' theorem and independency | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Expected value, mean, variance | Reading | Öğretim Yöntemleri: Anlatım |
| 5 | Moment generating functions | Reading | Öğretim Yöntemleri: Anlatım |
| 6 | Bernoulli trials and binomial distribution | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Geometric Distribution, Poisson Distribution | Reading | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Continuous random variables, uniform distribution, exponential distribution | Reading | Öğretim Yöntemleri: Anlatım |
| 10 | Gamma and chi-square distributions | Reading | Öğretim Yöntemleri: Anlatım |
| 11 | Normal distribution | Reading | Öğretim Yöntemleri: Anlatım |
| 12 | Distribution functions of random variables | Reading | Öğretim Yöntemleri: Anlatım |
| 13 | Central Limit theorem, rank statistics | Reading | Öğretim Yöntemleri: Anlatım |
| 14 | Confidence intervals | Reading | Öğretim Yöntemleri: Anlatım |
| 15 | Confidence intervals for ratio, mean, and percentage | Reading | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||