MODELING OF ENVIRONMENTAL DATA AND DEVELOPMENT OF ONLINE INFORMATION SERVICES

Course Information
TitleΜΟΝΤΕΛΟΠΟΙΗΣΗ ΠΕΡΙΒΑΛΛΟΝΤΙΚΩΝ ΔΕΔΟΜΕΝΩΝ ΚΑΙ ΑΝΑΠΤΥΞΗ ΗΛΕΚΤΡΟΝΙΚΩΝ ΥΠΗΡΕΣΙΩΝ ΕΝΗΜΕΡΩΣΗΣ / MODELING OF ENVIRONMENTAL DATA AND DEVELOPMENT OF ONLINE INFORMATION SERVICES
CodeΜΦΠ732
FacultySciences
SchoolPhysics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorKonstantinos Karatzas
CommonNo
StatusActive
Course ID600016973

Programme of Study: Environmental Physics

Registered students: 10
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses324

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Faculty Instructors
Weekly Hours2
Class ID
600153454
Course Category
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge in atmospheric physics and air pollution will help students participate more activelly in the course
Learning Outcomes
Upon successful completion of the course, students will (a) understand the full life cycle of environmental - atmospheric data": from "producing them" (measurements, observations, Internet of Things - sensors, models) to their "consumption" (information services, decision making etc.) (b) have knowledge of the basic technologies and limitations of air quality microsensors for gaseous pollutants and particulates (c) have acquired basic knowledge on the configuration and operation of a network of AQ microsensors in the IoT (d) can perform basic data analysis and modeling with a view to extracting basic knowledge and supporting quality of life services (e) are familiar with the basic design and operation features of environmental information services - quality of life with emphasis in the ambient environment (indicative fields of application: air quality, urban climate, aeroallergens)
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Respect natural environment
  • Demonstrate social, professional and ethical commitment and sensitivity to gender issues
  • Be critical and self-critical
  • Advance free, creative and causative thinking
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
Lectures261.0
Reading Assigment251
Project502
Total1014.0
Student Assessment
Student Assessment methods
  • Written Assignment (Summative)
  • Performance / Staging (Summative)
  • Report (Summative)
Last Update
04-06-2019