Slide background

School of Chemical and Environmental Engineering

Now offering two distinct diplomas: Chemical Engineering and Environmental Engineering

Numerical Analysis (Former Numerical Methods in Environmental Engineering)

1. COURSE INFORMATION:

School Environmental Engineering
Course Level Undergraduate
Course ID ENVE 336 Semester 6th
Course Category Required
Course Modules Instruction Hours per Week ECTS

Lectures , class/take home assignments, laboratory exercises

5
T=4, E=0, L=1

5
Course Type Scientific Area
Prerequisites  
Instruction/Exam Language Greek
The course is offered to Erasmus students Yes
Course URL https//www.eclass.tuc.gr/courses/MHPER322/   (in Greek)

 

2. LEARNING OUTCOMES

Learning Outcomes

Aim of the course is to present the basic (mathematical) numerical methods (errors, equation solving, numerical derivation and integration, initial value problems for o.d.e’s  e.t.c.) and apply these methods, using specialized software, to problems of Environmental Engineering.

The goals are:

  • the study of the (numerical) approximation methods for (real life) problem solving
  •  the understanding of the difference between approximation and analytical methods,
  • the familiarization of  the students with specialized software programs and the use these programs in solving real problems (scenarios).

The course is addressed to the junior students of the School / Department of Environmental Engineering of the Technical University of Crete.

General Competencies/Skills
  • Work autonomously
  • Review, analyse and synthesise data and information, with the use of necessary technologies
  • Team work

3. COURSE SYLLABUS

  • Errors,
  • numerical solution of non-linear equations,
  • interpolation and polynomial approximation,
  • numerical differentiation and integration,
  • approximation theory,
  • numerical methods for initial-value and boundary-value problems for ordinary differential equations,
  • applications in environmental engineering.

4. INSTRUCTION and LEARNING METHODS - ASSESSMENT

Lecture Method Direct (face to face) and Lab exercises
Use of Information and Communication Technology Specialized software; Power point presentations; E-class support
Instruction Organisation Activity Workload per Semester
(hours)
- Lectures 39
- Review exercises 6
- Software applications 6
- Lab exercises 8
- Autonomous study 66
Course Total 125

Assessment Method

I. Written final examination (80%).
- Questions of theoretical knowledge.
- Theoretical/applied problems to be solved.

II.  Laboratory Exercises (20%)    Eight lab exercises

III. “Bonus” exercises (10%  in addition to the final exam).

OR

I .Midterm and final exam (80%=40%+40%)

II. Laboratory Exercises (20%)  Eight lab exercises

III.“Bonus” exercises (10%  in addition to the midterm/final exam grade).

5. RECOMMENDED READING

  • Tsanis I, Solved problems of computational hydraulic and environmental engineering, 2005, Ed Tziola.
  • Chapra S. - Canale R, Numerical methods for Engineers, 7th ed,  2014, Ed Tziola.  
  • Sarris I., karakasidis Th., Numerical methods and Applications for Engineers, 2017, Ed Tziola.
  • E-class notes

6. INSTRUCTORS

Course Instructor: Dr. V. Mandikas (N.Sc -ChEnvEng)
Lectures: Dr. V. Mandikas (N.Sc -ChEnvEng)
Tutorial exercises: Dr. V. Mandikas (N.Sc -ChEnvEng)
Laboratory Exercises: Dr. V. Mandikas (N.Sc -ChEnvEng)