Course Information
SchoolMechanical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorKonstantinos Karatzas
Course ID20000376

Programme of Study: UPS of School of Mechanical Engineering

Registered students: 12
OrientationAttendance TypeSemesterYearECTS
EnergyElective Course belonging to the selected specialization (Elective Specialization Course)955
Design and StructuresElective Course belonging to the selected specialization (Elective Specialization Course)955
Industrial ManagementElective Course belonging to the selected specialization (Elective Specialization Course)955

Class Information
Academic Year2016 – 2017
Class PeriodWinter
Faculty Instructors
Weekly Hours5
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
General Prerequisites
Environmental Informatics (EI) is the science of information and communication technologies applied to environmental engineering problems. It is an interdisciplinary domain incorporating fields like data oriented analysis and modelling, internet and geo-location technologies, internet of things and participatory sensing. Thus, EI should be considered as an integrator of science, methods and techniques and not just the result of using information and software technology methods and tools for serving environmental engineering needs. Students are expected to have prior knowledge of scientific computations and programming in environments like Matlab. Students fluent in matrix algebra and calculus will find the course more easy, while those having a background in Internet-oriented programming will be able to work on related fields. Prerequisites: Informatics-Computer programming (literacy in the use of Matlab or other computational environment), Linear Algebra, Statistics, Multi-variable Calculus)
Learning Outcomes
Ability to analyze environmental data and extract relevant knowledge with the aid of computational environments like Matlab or WEKA. Data oriented modelling. Design of environmental information services by applying basic principles of user requirements and user oriented design. Acquire knowledge on IC technologies for environmental applications (Internet of things, participatory sensing, etc)
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
  • Appreciate diversity and multiculturality
  • 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
Course Content (Syllabus)
Computational Intelligence with emphasis on Mechanical Engineering problems for the management of environment and energy. Methods for the analysis of environmental data and time series. Decision Trees; Artificial Neural Networks; Clustering. Environmental Informatics Systems and Internet Technologies. Environmental Information Services.
environmental information services, computational intellgence, data oriented modelling, smart environmental and energy management
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • scientific publ;ications, on-line material
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
Educational material provided via the internet. The course is fully supported by a course management system (eclass.auth.gr). Computations are done via Matlab and/or WEKA.
Course Organization
Reading Assigment150.5
Written assigments150.5
Student Assessment
Students will have to be able to deal with "real world" problems in the analysis of environmental and energy data and in the development of environmental models.This is evaluated with the aid of three projects that students have to work on, produce a report and make a presentation. Indicative project subjects: environmental forecasting, environmental information services design and mock-up (or prototype) creation for Internet and mobile platforms, participatory environmental sensing.
Student Assessment methods
  • Written Assignment (Formative, Summative)
  • Oral Exams (Formative, Summative)
  • Performance / Staging (Formative, Summative)
Course Bibliography (Eudoxus)
ΕΙΣΑΓΩΓΗ ΣΤΗΝ ΕΞΟΡΥΞΗ ΔΕΔΟΜΕΝΩΝ (κωδ. “ευδόξου”: 18549105). Έκδοση: 1η/2010. Συγγραφείς: Tan Pang - Ning,Steinbach Michael,Kumar Vipin. ISBN: 978-960-418-162-9. Διαθέτης (Εκδότης): ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε
Additional bibliography for study
Σημειώσεις του διδάσκοντα (διατίθενται δωρεάν μέσω του διαδικτυακού τόπου του μαθήματος). Βιβλιογραφία (άρθρα δημοσιευμένα σε πρακτικά συνεδρίων και επιστημονικά περιοδικά) διατίθεται επίσης μέσω του διαδικτυακού τόπου του μαθήματος) (Study material comprises of lecture slides, on-line material and scientific publications, which are made available to the attending students via the course management system http://eclass.auth.gr/courses/MENG378/)
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