COMPUTATIONAL MODELS OF ENVIRONMENTAL PHYSICS
| Title | ΥΠΟΛΟΓΙΣΤΙΚΑ ΠΡΟΤΥΠΑ ΦΥΣΙΚΗΣ ΤΟΥ ΠΕΡΙΒΑΛΛΟΝΤΟΣ / COMPUTATIONAL MODELS OF ENVIRONMENTAL PHYSICS |
| Code | ΜΥΠ709 |
| Faculty | Sciences |
| School | Physics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Common | No |
| Status | Active |
| Course ID | 40000191 |
| Academic Year | 2020 – 2021 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600178954
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600178954
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Learning Outcomes
Upon completion of the course, students should be able to analyze environmental data and develop forecasting models based on these data.
Data analysis should enable students to identify (a) correlations and interactions between environmental time series (b) equilibrium, extreme or missing values, and (c) characteristics (profiles) of these data.
By modeling, students should be able to develop Linear Regression Models, Artificial Neural Networks and Decision Trees (in Matlab and WEKA computing environments) to predict parameters of interest.
Students should be able to apply the above in the atmospheric environment (example of course work) and in any other environmental field.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in an interdisciplinary team
- Respect natural environment
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
1. Introduction to Atmospheric Environment.
2. Introduction to statistical forecasting of air pollution.
3. Methods for the analysis of time series and forecasting.
4. Analysis of Environmental data.
5. E-services for environmental information
6. Exercise in the analysis of environmental time series.
7. Exercise in the determination of the correlations between environmental parameters.
MATLAB and WEKA will be used for problem solving.
Keywords
Computational Environmental Physics
Educational Material Types
- Notes
- Slide presentations
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 40 | 1.3 | ✓ | ✓ | |
| Reading Assigment | 40 | 1.3 | ✓ | ||
| Project | 100 | 3.3 | ✓ | ||
| Written assigments | 45 | 1.5 | ✓ | ||
| Total | 225 | 7.5 |
Student Assessment
Student Assessment methods
- Written Assignment (Formative, Summative)
- Performance / Staging (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Last Update
09-06-2020
