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Cyprus International University
TR

STATISTICAL METHODS IN BIO&ENVIRONMENTAL SCIENCES

Course
ENVE541 - STATISTICAL METHODS IN BIO&ENVIRONMENTAL SCIENCES
Department
Environmental Engineering - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

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

Week Topic
Week 1 Introduction to Statistics
Week 2 Summary Statistics, Measures of center, Measures of variability
Week 3 Graphical summary techniques
Week 4 Reexpresion the data (transformation, normalization)
Week 5 Exploratory Techniques for Paired Data, Scatterplots,
Week 6 Correlation and linear regression
Week 7 Correlation and linear regression
Week 8 Review of Probability,
Week 9 Probability, Sample Spaces, Events, Counting techniques
Week 10 Probability density functions
Week 11 Normal Distribution ( z- score tables)
Week 12 Statistical Intervals, Confidence intervals (Student's t tables)
Week 13 Statistical Intervals, Confidence intervals
Week 14 Hypothesis testing
Week 15 Hypothesis testing

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

No program outcomes have been defined.

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