ENVIRONMENTAL IT TOOLS

Course Information
TitleΠΕΡΙΒΑΛΛΟΝΤΙΚΑ ΕΡΓΑΛΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ / ENVIRONMENTAL IT TOOLS
CodeΜΦΠ734
FacultySciences
SchoolPhysics
Cycle / Level1st / Undergraduate, 2nd / Postgraduate
Teaching PeriodWinter
CoordinatorMaria-Elissavet Koukouli
CommonNo
StatusActive
Course ID600016975

Programme of Study: Environmental Physics

Registered students: 3
OrientationAttendance TypeSemesterYearECTS
KORMOSElective CoursesWinter-4
Class Information
Academic Year2020 – 2021
Class PeriodWinter
Instructors from Other Categories
Weekly Hours2
Class ID
600179021
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Prerequisites
General Prerequisites
Very basic programming skills in one of the more typical programming languages would be beneficial, without being necessary.
Learning Outcomes
The purpose of this course is for students to specialize in the use of sophisticated environmental information tools and techniques. Specifically within the course, different types of environmental information files, metadata processing methods, satellite remote sensing data processing libraries, etc. will be studied. Upon successful completion of the course, students should be able to develop data visualization techniques and remote sensing data processing applications using either the Interactive Data Language, IDL, or Python. They should also be able to develop visualization and processing techniques for atmospheric model simulations, high volume data management techniques as well as data mining techniques with the programming language of their choice.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Advance free, creative and causative thinking
Course Content (Syllabus)
The purpose of this course is for students to specialize in the use of sophisticated environmental information tools and techniques. The course is offered in one of two modules: one based on Interactive Data Language, IDL, and the other on Python, as environmental information tools. Specific aspects to be studied are: types of environmental information files, metadata, remote sensing data processing libraries, data visualization and remote sensing data development techniques using either the Interactive Data Language, IDL, or Python 3.7. Visual modelling and simulation techniques for atmospheric modelling purposes will also be taught, as well as large volume data management techniques and data mining techniques.
Keywords
Programming languages, big data analysis, databases, atmospheric models.
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
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures381.5✓
Project351.4✓
Written assigments241.0✓
Exams30.1✓
Total1004
Student Assessment
Description
Students are assessed throughout the semester through personal contact during the lectures and through their general interest and participation in class. At the same time, weekly assignments are given which will be discussed both online and in private with each student as well as analyzed anonymously in the classroom as part of the learning process. From personal contact and weekly assignments, the teacher receives a broader picture of the student.
Student Assessment methods
  • Written Assignment (Formative)
  • Written Exam with Problem Solving (Summative)
Last Update
08-01-2020