Τμήμα Ωκεανογραφίας και Θαλασσίων Βιοεπιστημών

Icon-facebook Youtube
Field methods, data analysis, and models in Marine Sciences
School:
Of the Environment
Academic Unit:
Department of Marine Sciences
Level of studies:
Postgraduate
Course Code:
Semester:
Α
Course Title:
Field methods, data analysis, and models in Marine Sciences
Independent Teaching Activities
Lab/Tutorials
Weekly Teaching Hours
2
Independent Teaching Activities
Lab/Tutorials
Weekly Teaching Hours
2
Credits
10
Course Type:
Skills development
Prerequisite Courses:
NO
Language of Instruction and Examinations:
English
Is the course offered to Erasmus students:
YES
  • (2) Learning Outcomes
  • Learning Outcomes

After the successful completion of the course, students should be able to:

  • Survey planning and sampling design for various types of oceanographic data collection – evaluation of field work uncertainties
  • Data acquisition
  • Application of post processing data analysis techniques with various types of softwares – evaluation of the results
  • Knowledge of the basic principles of time-series analysis and numerical modelling – interpertation of resulting outputs and physical processes
  • Appropriate use of collected data / parameters as inputs in various models in marine sciences
  • Know the most appropriate methods of ecological monitoring for the main groups of marine species
  • Analyze real ecological monitoring data
  • General Competences

  • Search for, analysis and synthesis of data and information, with the use of the necessary technology

  • Working independently

  • Team work

  • Adapting to new situations (field work)

  • Decision-making

  • Project planning and management

  • Respect for the natural environment

  • Working in an interdisciplinary environment

  • Respect for the natural environment

  • Production of free, creative and inductive thinking

  • (3) Syllabus
  • Field work onboard “RV Amfitriti” for the collection of oceanographic data (physico-chemical parameters of the water column, sediments, bathy-morphological and geological data, benthic samples etc)
  • Physical parameters of the water column
  • Chemical properties of the water column and seabed properties
  • Benthic analysis
  • Bathymetric and geomorphological (from side scan sonar and subbottom profiler) data processing and analysis using special softwares. GIS charting
  • Seabed sample analysis
  • Post-processing of coastal hydrodynamic data (waves, currents)
  • Time-series analysis in meteorological and oceanographic data
  • Coastal modelling for the prediction of coastal hydrodynamics and its impact in beach profile morphological changes
  • Methods of ecological monitoring such as counts in fixed surfaces, distance sampling, mark-recapture, removal methods, repetitive recording of presence/absence
  • Multivariate statistical analysis in ecological data, biocommunities characteristics
  • Use of special software for the analysis of ecological monitoring data
  • (4) Teaching and Learning Methods - Evaluation
  • Delivery:

Face to face

  • Use of Information and Communication Technology:

  • Use of specialized processing and analysis softwares during lectures and tutorials

  • Use of ICT in teaching (PPT presentations)

  • Communication with students via e-mail and e-class platform

  • Uploading course material on e-class system.

  • Teaching Methods:
Activity Semester workload
Lectures
26
Lectures
26
Lectures
104
Lectures
90
Final exam
3
Course total
249
  • Student Performance Evaluation:

Language of evaluation: English


Evaluation: Four project essays, related to the 4 main components in oceanographic research (physical, chemical, geological and biology-ecology), regarding data processing and analysis and results presentation.

  • (5) Attached Bibliography

Suggested bibliography

Various, depending on the oceanographic subject studied

  • Emery, W. J. and Thomson, R. E., 2014: Data Analysis Methods in Physical Oceanography, 3rd Edition, Elsevier, ISBN: 9780123877833
  • Manuals of oceanographic and sonar instruments and processing softwares

Scientific journals, in example

  • Journal of Atmospheric and Oceanic Technology
  • Measurement
  • Methods in Oceanography
  • Marine Geology