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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 | Have sufficient knowledge in mathematics, natural sciences, and biomedical engineering, along with the ability to use theoretical and applied knowledge in these areas to solve complex engineering problems. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, formulate, and solve complex Biomedical Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The ability to design a complex system, process, device, or product in Biomedical Engineering under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | The ability to select and use modern techniques and tools necessary for analyzing and solving complex problems encountered in Biomedical Engineering applications; the ability to use information technologies effectively. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics in Biomedical Engineering. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | The ability to work effectively in intra-disciplinary (Biomedical Engineering) and multi-disciplinary teams; ability to work individually. | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | The ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports in Biomedical Engineering and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 2 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Get awareness of the necessity of lifelong learning; the ability to access information in the field of Biomedical Engineering, to follow developments in science and technology, and the ability to constantly self-renewal. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting following ethical principles, professional and ethical responsibility in the field of Biomedical Engineering, and knowledge of the standards used in engineering practice. | 4 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Knowledge of project management and practices in the field of Biomedical Engineering, such as risk management and change management; awareness about entrepreneurship, innovation, and sustainable development. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Understanding the universal and societal impacts of Biomedical Engineering applications on health, environment, and safety; awareness of the legal implications of Biomedical Engineering solutions. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Understanding of biology and physiology. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Ability to make measurements on living systems and interpret data collected from these measurements. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Ability to solve problems related to the interactions between living and nonliving materials and systems. |
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 | ||