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. 1. Analyzes, compares, and synthesizes advanced theoretical and applied knowledge in subfields of civil engineering.
2. 2. Identifies a problem in the field, formulates a research question, collects and analyzes data, and draws conclusions using scientific methods.
3. 3. Develops innovative solutions by applying modeling, analysis, and interpretation skills to complex engineering problems.
4. 4. Designs new systems, processes, or materials by considering real-world constraints such as economy, environment, sustainability, and safety.
5. 5. Plans laboratory or field studies, collects data, performs statistical analysis, and derives scientific results.
6. 6. Effectively uses modern analysis and design software, information technologies, and measurement tools in civil engineering applications.
7. 7. Recognizes, interprets, and integrates relationships between civil engineering and other engineering or scientific disciplines.
8. 8. Acts in accordance with ethical principles, demonstrates professional responsibility, and evaluates the societal impacts of engineering practices.
9. 9. Communicates research and engineering outcomes clearly and effectively through written, oral, and visual means.
10. 10. Works effectively in intra- and interdisciplinary teams and assumes leadership roles when necessary.
11. 11. Follows, critically evaluates, and continuously improves professional knowledge and skills through lifelong learning.
12. 12. Evaluates the environmental, sustainability, and societal impacts of engineering practices and develops responsible solutions.

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