COURSE PROGRAMME

INTRODUCTION MEETING

INTRO LECTURES TIME TABLE

Click HERE for virtual sessions (ZOOM link)

Introduction to Marine Data – Aldo Drago

LECTURE 1, Monday 10 March 2025, 5pm – 7pm (Central European Time)

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Key points of the lecture

  • Why do we need marine data?
  • How do we measure and model the sea?
  • Different types of marine data: physical, biogeochemical, ecological; models; observations (in situ + remote)
  • What is operational oceanography?
  • Technologies used to produce marine data
  • Temporal and spatial constraints in data collection and interpretation; how to measure and interpret data avoiding pitfalls
  • The value addition chain of data; downstream services and data product delivery

Reliable oceanographic data sources

Met-ocean data sets: climate, reanalysis, forecast and in situ data

– Alfredo Izquierdo Gonzalez

LECTURE 2, Thursday 13 March 2025, 5pm – 7pm (Central European Time)

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Key points of the lecture

  • Met-ocean data: types and characteristics
  • Types of products PHYS CMEMS
  • Types of products INSITU CMEMS
  • “Data lexicon”: Quality information document and product user man

Online Data Portals – Adam Gauci

LECTURE 3, Monday 17 March 2025, 5pm – 7pm (Central European Time)

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Key points of the lecture

  • What oceanographic data is freely available? How can this be accessed?
  • Demonstration of professional online data interfaces to visualise in near-real-time ocean data products
  • Portals from where numeric data derived from in-situ measurements, remote sensing, and forecasting models, can be downloaded
  • Demonstration of visualisation software including Panoply, the Sentinel Application Toolbox (SNAP), and QGIS, that can be used to process downloaded data
  • Simple data processing techniques to added-value products (such as colour composites, vegetation and water quality indices, etc…)

Introduction to Operational Modelling – Flávio Martins

LECTURE 4, Thursday 20 March 2025, 5pm – 7pm (Central European Time)

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Key points of the lecture

  • What is a model?
  • Transport of a property: Eulerian vs Lagrangian
  • Discretisation in space and time
  • Model limitations
  • Initial and boundary conditions
  • Downscaling
  • Types of models
  • Operational modelling cycle
  • Data assimilation, analysis and reanalysis
  • Model validation

An introduction to Europe’s in situ open data service by the European Marine Observation Data Network (EMODnet) – Conor Delaney

LECTURE 5, Monday 24 March 2025, 5pm – 7pm, (Central European Time)

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Key points of the lecture

  • Data management tools, principles and technologies deployed by EMODnet
  • DCO Data Sharing, Decade’s Data and Information Strategy and related initiatives

Accessing and transforming data – Sally Close

LECTURE 6, Thursday 27 March 2025, 5pm – 7pm (Central European Time)

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Key points of the lecture

  • Brief introduction to web scraping and API
  • Brief introduction to data wrangling
  • Interacting with data servers part 1 (openDAP)
  • Introduction to cloud storage and cloud computing

Fundamentals and examples of marine data analysis – Carlos Román Cascón

LECTURE 7, Monday 31 March 2025, 5pm – 7pm, (Central European Summer Time)

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Key points of the lecture

  • Instrumentation and sampling characteristics
  • Data analysis: basic statistics, climatological assessments, anomalies, correlation
  • Spatial analysis of data
  • Time series analysis: Fourier, harmonic, spectral and wavelet analysis
  • Some examples of marine data analysis

Managing and Processing (Big) Scientific Data – Peer Kröger, Daniyal Kazempour

LECTURE 8, Thursday 3 April 2025, 5pm – 7pm, (Central European Summer Time)

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Key points of the lecture

Managing (Big) Scientific Data

  • IT tools and systems
  • Relational Database Management Systems
    • Data model
    • Basic properties of transactions in RDMS
  • Geo-Information systems
    • Spatial, temporal, and spatio-temporal data models
    • NoSQL Databases
    • Data models
    • Cap-theorem (consistency and availability)

Processing (Big) Scientific Data

  • Data Preprocessing
  • Overview on Distributed Data Processing
    • Hadoop, map-reduce
    • Spark
    • Flink

Introduction to learning algorithms, neural networks and clustering – Hrvoje Kalinić

LECTURE 9, Monday 7 April 2025, 5pm – 7pm (Central European Summer Time)

Key points of the lecture

  • What is unsupervised learning?
  • Distinction between clustering and classification
  • Cluster properties and basic approaches to cluster analysis
  • Examples of some algorithm and applications
  • What is supervised learning?
  • Distinction between classification and regression problem
  • Learning algorithms and why are the introduced
  • Learning as an optimization problem. Gradient descent. Local optimum
  • Linear separability and complexity of neural network architecture
  • Simple (shallow) neural network implementation

Applying AI to Oceanography: case studies – Aleksandra Dudkowska

LECTURE 10, Thursday 10 April 2025, 5:30pm – 7:30pm, (Central European Summer Time)

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Key points of the lecture

Case studies and demonstration of the different AI/ML models used in Oceanography

Introduction to Python

INTRO TO PHYTON, Thursday 24th April 2025, 5pm – 7pm, (Central European Summer Time)

Anaconda cloud – introduction

Intro 1 tutorial

Intro 2 tutorial

View Lecture Intro 1

View Lecture Intro 2

Key points of the lecture

Session designed for beginners and those looking to refresh their Python knowledge.

  • Syntax
  • Variables
  • Data types
  • Basic operations
  • Loops
  • Conditional statements
  • Functions
  • Modules
  • Libraries

Quiz about material covered in the introductory lectures

QUIZ, Monday 28th April 2025, 5:00pm – 5:45pm (Central European Summer Time)

Introduction to Physical Mobility in Gdansk – Aleksandra Dudkowska

INTRO TO PRACTICAL SESSIONS, Monday 28th April 2025, 6pm – 7pm (Central European Summer Time)

BIP PRACTICAL SESSIONS

  • Arrival in Gdańsk
  • 18:00 Welcome and Ice Breaker
  • 10:00 – 11:00 Introduction to workshops
  • 11:00 – 12:30 Computers/software checking
  • 12:30 – 13:00 Creation of students’ groups
  • 09:00 -12:00 Practical Session 1: Sea-level time series: detecting processes, stationarity and trends
    Frano Matić, Jadranka Šepić, Alfredo Izquierdo, Nikola Metlicic, Marijana Balic
  • 13:00 – 16:00 Practical Session 2: Ocean Data Visualization and Analysis with Ocean Data View (ODV)
    Peter Matzerath, Aleksandra Cupiał, Marijana Balic
  • 16:00 – 17:00  Additional activity: Introduction to project mode
    Alfredo Izquierdo, Frano Matić, Aleksandra Dudkowska, Flavio Martins
  • 17:00 – 18:00  Additional activity: project mode (teamwork)
    Nikola Metlicic, Marijana Balic
  • 09:00 – 12:00 Practical Session 3: Introduction to sea state and wind wave characterisation
    Tomás Fernández Montblanc, Alfredo Izquierdo, Flavio Martins
  • 13:00 – 16:00  Practical Session 4: Producing and analysing modelled ocean and coastal data
    Flavio Martins, Jesús Gómez-Enri, Adam Gauci
  • 16:00 – 17:00  Master thesis invitation
    Jadranka Šepić, Flavio Martins, Aleksandra Dudkowska
  • 17:00 – 18:00  Additional activity: project mode (teamwork)
    Nikola Metlicic
  • 09:00 – 18:00 Field Trip
  • 09:00 – 12:00  Practical Session 5: Space to Seafloor – Computing Satellite Derived Bathymetry
    Adam Gauci, Tomás Fernández Montblanc, Jadranka Šepić
  • 13:00 – 17:00 Practical Session 6: Oil Spill Detection from space with SENTINEL-1
    Jesús Gómez-Enri, Frano Matić, Marijana Balic
  • 17:00 – 19:00 Additional activity, presentation for final assessment (teamwork)
    Nikola Metlicic, Marijana Balic
  • 09:00 – 12:00 Additional activity, presentation for final assessment (teamwork)
    Nikola Metlicic, Marijana Balic
  • 13:00 – 17:00  Student presentations and Assessment
    Frano Matić, Jadranka Šepić, Alfredo Izquierdo, Flavio Martins, Adam Gauci,  Tomás Fernández Montblanc, Jesús Gómez-Enri, Aleksandra Dudkowska
  • 18:30 – 19:00 Goodbye session
  • 09:00 – 11:00  Additional activity: project mode (teamwork)
  • Departure from Gdańsk

Any more questions? Feel free to send us an email!

For more info on the course please follow the details in the course website  or contact us through mdl@sea-eu.org