BIOSTATISTICS
- Course
- STAT110 - BIOSTATISTICS
- Department
- Basic Sciences and Humanities
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 2
- ECTS
- 3
- T+P+L
- 2 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Oluwasuyi Ayobami OBA
- Prerequisite
- -
- Keywords
Course Description
The main topics of this course are basic statistical definitions, definitions of population and sample, types of data, descriptive statistics, and classification of data. Then, discussing the measures of central tendency such as calculating mean, median and determining mode; and measures of dispersion such as calculating range, variance and standard deviation. In addition to these, students are able to work on frequency tables, data visualization by graphics, probability distributions, some well-known discrete and continuous probability distributions such as normal, binomial and Poisson distributions. Finally, statistical tests for checking normality, the main idea of sampling, sampling distributions and sampling distribution of mean and confidence intervals will be covered in this course.
BIOSTATISTICS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Quiz | Quiz | 15 |
| Midterm | Midterm | 40 |
| Final | Final | 45 |
| Total | 100 | |
Course outcomes
- 01 Apply statistical methods in the problem-solving approach
- 02 Interpret the results of statistical theory
- 03 Compute and interpret descriptive statistics using numerical and graphical techniques
- 04 Identify and apply the basic concepts of probability
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to basic statistical definitions. Measurement and Measurement Scales. Sampling and Statistical Inference. The Scientific Method and The Design of Experiments. |
| Week 2 | Chart types (bar chart, pie chart, dot plot, stem and leaf display, histogram) |
| Week 3 | Frequency Distributions |
| Week 4 | Frequency Distributions |
| Week 5 | Classification of data. Descriptive Statistics: Measures of Central Tendency and Dispersion. |
| Week 6 | Sample Space, Elementary Properties of Probability. Calculating the Probability of an Event, Probability Distributions |
| Week 7 | Midterm Exam |
| Week 8 | Midterm Exam |
| Week 9 | Continuous Probability Distributions: The Normal Distribution and applications. |
| Week 10 | Continuous Probability Distributions: The Normal Distribution and applications. |
| Week 11 | Sampling Distributions. Distribution of the Sample Mean. Distribution of the Difference between two Sample Means, Confidence Intervals |
| Week 12 | Correlation & Regression Analysis |
| Week 13 | Final Exams |
| Week 14 | Final Exams |
| Week 15 | - |
Reference Books & Course Materials
- 01 Wayne W. Daniel, BIOSTATISTICS: Basic Concepts and Methodology for the Health Sciences, 9th ed., Wiley
Learning Outcomes
- L01 Apply statistical methods in the problem-solving approach SOLO 0
- L02 Interpret the results of statistical theory SOLO 0
- L03 Compute and interpret descriptive statistics using numerical and graphical techniques SOLO 0
- L04 Identify and apply the basic concepts of probability SOLO 0
Program Outcomes
- P01 Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
- P02 Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
- P03 Should have the ability to detect, define, formulate, and solve complex engineering problems.
- P04 Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
- P05 Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
- P06 Should have the ability to apply modern design methods.
- P07 Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
- P08 Should have the ability to use information technologies effectively.
- P09 Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
- P10 Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
- P11 Should have the ability to work in intradisciplinary teams.
- P12 Should have the ability to work in interdisciplinary teams.
- P13 Should have the skills to work individually.
- P14 Should have the ability to communicate effectively verbally and in writing.
- P15 Should have the knowledge of at least one foreign language.
- P16 Should be able to write effective reports, understand written reports, and prepare design and production reports.
- P17 Should have the ability to make effective presentations.
- P18 Should have the ability to give and have clear and understandable instructions.
- P19 Should gain consciousness (awareness) about the necessity of lifelong learning.
- P20 Should have the ability to access information.
- P21 Should have the ability to follow developments in science and technology and constantly renew himself/herself.
- P22 Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
- P23 Should gain knowledge about the standards used in engineering applications.
- P24 Should gain knowledge about project management, risk management, and change management practices in business life.
- P25 Should gain awareness about entrepreneurship, and innovation.
- P26 Should gain knowledge about development in sustainability.
- P27 Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
- P28 Awareness should be gained about the legal consequences of engineering solutions.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | P12 | P13 | P14 | P15 | P16 | P17 | P18 | P19 | P20 | P21 | P22 | P23 | P24 | P25 | P26 | P27 | P28 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |