STATISTICAL METHODS IN BIO&ENVIRONMENTAL SCIENCES

Course Description

The main topics of this course are: numerical summary statistics, graphical summary techniques, probability theory, probability distributions, mathematical expectation, special probability distributions (bernoulli, binom, poisson), probability density functions (gama, exponantial, chi-square), linear regression and correlation, excell and spss applications, sampling distributions, hypothesis testing.

STATISTICAL METHODS IN BIO&ENVIRONMENTAL SCIENCES

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Use statistical methodology and parameters in the engineering problem-solving process
2. 02 Compute and interpret descriptive statistics using numerical and graphical techniques.
3. 03 Understand the basic concepts of probability, random variables, probability distribution
4. 04 Compute point estimation of parameters, explain sampling distributions, and understand the central limit theorem.
5. 05 Construct confidence intervals on parameters for a single sample
6. 06 Determine the significance of the sample analysis by hypothesis testing

Course Syllabus

Reference Books & Course Materials

1. 01 Statistics for Engineers and Scientists, William Navidi,3rd Edition
2. 02 Applied Statistics and Probability for Engineers, Douglas C. Montgomery, George C. Runger, 3rd Edition.
3. 03 Probability and Statistics for Engineering and the Sciences, Jay L. Devore, Eight Edition

Learning Outcomes

1. L01 Use statistical methodology and parameters in the engineering problem-solving process
2. L02 Compute and interpret descriptive statistics using numerical and graphical techniques.
3. L03 Understand the basic concepts of probability, random variables, probability distribution
4. L04 Compute point estimation of parameters, explain sampling distributions, and understand the central limit theorem.
5. L05 Construct confidence intervals on parameters for a single sample
6. L06 Determine the significance of the sample analysis by hypothesis testing

Program Outcomes

1. Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems
2. Ability to identify, formulate, and solve complex environmental problems; ability to select and apply proper analysis and modeling methods for this purpose.
3. Ability to design and conduct experiments, gather data, analyze and interpret results for investigating environmental problems or discipline specific research questions.
4. Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
5. Ability to communicate effectively in English, both orally and in writing; knowledge of a minimum of one foreign language
6. Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
7. Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
8. Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
9. Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

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