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School of Chemical and Environmental Engineering

Now offering two distinct diplomas: Chemical Engineering and Environmental Engineering

Risk Analysis

1. COURSE INFORMATION:

SchoolEnvironmental Engineering
Course LevelUndergraduate
Course IDENVE 535Semester9th
Course CategoryElective
Course ModulesInstruction Hours per WeekECTS

Lectures and Tutorials

3
T=2, E=1, L=0

5
Course TypeScientific Area
Prerequisites 
Instruction/Exam LanguageGreek
The course is offered to Erasmus studentsNo
Course URLhttps://www.eclass.tuc.gr/courses/MHPER225/

 

2. LEARNING OUTCOMES

Learning Outcomes

Upon successful completion of this course the students will acquire new knowledge and specific skills on the following subjects:

  • Will have knowledge of basic principles in statistics and data analysis
  • Will gain knowledge on decision making and decision-making criteria
  • Will learn the methods and techniques for risk assessment in environmental applications
  • Will be able to understand and apply cost/benefit analysis
  • Will be capable to apply game theory in environmental applications
  • Can compose spatial analysis of environmental variables for risk assessment
  • Can evaluate or assess environmental risk
  • Can analyze and interpret environmental measurements
  • Can work with specialized environmental risk assessment software
  • Can promote environmental policy
  • Can contribute to the management of environmental engineering works
 
General Competencies/Skills
 
  • Review, analyze and synthesize data and information, with the use of necessary technologies
  • Decision making
  • Work in teams
  • Design and management of environmental engineering works/projects
 

3. COURSE SYLLABUS

Elements of probability and statistics. Uncertainty and Risk Analysis, Risk for the human health. Examples from the natural systems. Risk assessment methodology. Risk factors. Methods to estimate the parameters. Sensitivity analysis. Correlation between risk and cost/benefit. Statistical value of life. Years of life loss. Expose/response functions of populations in pollution. Risk management – Safety. Occupational Safety. Quality management and risk. Risk depiction in local/regional level. Decision making under uncertainty. Bayes Risk. Decision trees. Simulation. Environmental safety. Information on Risk and public perception. Environmental Impact Assessment. Risk assessment using spatial analysis. Methods and Examples in Environmental applications.

4. INSTRUCTION and LEARNING METHODS - ASSESSMENT

Lecture MethodDirect (face to face)

Use of Information and Communication Technology

 
  • Specialized software
  • Power point presentations
  • E-class support
 
Instruction OrganisationActivityWorkload per Semester
(hours)
- Lectures28
- Tutorials11
- Projects51
- Autonomous study35
Course Total125

Assessment Method

I. Written final examination (50%).
- Questions of theoretical knowledge.
- Theoretical problems to be resolved.

ΙΙ. Autonomous assignments (20%).

III. Group assignments (30%).

5. RECOMMENDED READING

 
  • Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering ALFREDO H., ANG S., TANG W. H.
  • SYSTEMIC METHODOLOGY & TECHNICAL ECONOMY, PANAGIOTAKOPOULOS DIMITRIOS
 

6. INSTRUCTORS

Course Instructor:E. Varouhakis (LTS - EnvEng)
Lectures:E. Varouhakis (LTS - EnvEng)
Tutorial exercises:E. Varouhakis (LTS - EnvEng)
Laboratory Exercises: