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CourseNaval, Offshore & Sports Nautical Applications open

Course in Digital Modelling of Port Operations

Online 300 h course in digital modelling of port operations. 6 modules covering IEEE 1516-2010 (HLA), ISO/IEC 30173:2023 and AnyLogic. Dedicated tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

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Learning outcomes

What you will be able to do

01

Formulate conceptual models of port systems.

02

Prepare and characterise operational data for simulation.

03

Build discrete-event simulation models of terminals.

04

Verify and validate models with real data.

05

Apply optimisation techniques to berths, cranes and equipment.

06

Define the architecture of a port digital twin.

07

Recommend operational decisions based on simulated scenarios.

Profile

Who it's for

  • Port simulation analyst wishing to specialise in Digital Modelling of Port Operations.
  • Operational research engineer wishing to specialise in Digital Modelling of Port Operations.
  • Maritime data scientist wishing to specialise in Digital Modelling of Port Operations.
  • Port planning consultant wishing to specialise in Digital Modelling of Port Operations.
  • Digital twin specialist wishing to specialise in Digital Modelling of Port Operations.
  • Strategic terminal planner wishing to specialise in Digital Modelling of Port Operations.
  • Graduates in engineering or science seeking to enter port terminals.
Standards & tools

What you'll work with

  • IEEE 1516-2010 (HLA)
  • ISO/IEC 30173:2023
  • ISO 8000-8:2015
  • ISO 19650-1:2018
  • ISO 19115-1:2014
  • ISO/IEC 27001:2022
  • UN/EDIFACT (ISO 9735)
Syllabus

6 modules · 300 h

  1. 1.1The port as a complex system
  2. 1.2Levels of model abstraction
  3. 1.3Analytical models versus simulation
  4. 1.4Queueing theory in terminals
  5. 1.5Discrete-event simulation
  6. 1.6Agent-based simulation
  7. 1.7System dynamics
  8. 1.8Data required for modelling
  9. 1.9Use cases in port planning
  10. 1.10Case study: conceptual model of a multipurpose terminal
  1. 2.1TOS, AIS and PCS data sources
  2. 2.2Data cleaning and preparation
  3. 2.3Fitting arrival distributions
  4. 2.4Service times and variability
  5. 2.5Exploratory analysis of scales
  6. 2.6Geospatial port data
  7. 2.7Data quality and governance
  8. 2.8Berth occupancy time series
  9. 2.9Confidentiality of commercial data
  10. 2.10Practical: fitting vessel arrival distributions
  1. 3.1Berth and crane modelling
  2. 3.2Yard and equipment modelling
  3. 3.3Gate and landside traffic modelling
  4. 3.4Resource logic and priorities
  5. 3.52D and 3D animation
  6. 3.6Model verification
  7. 3.7Validation with real data
  8. 3.8Warm-up period and replications
  9. 3.9Sensitivity analysis
  10. 3.10Laboratory: discrete-event model of quay and yard
  1. 4.1Berth allocation problem
  2. 4.2Quay crane assignment
  3. 4.3Stowage optimisation
  4. 4.4Integer linear programming
  5. 4.5Heuristics and metaheuristics
  6. 4.6Simulation-optimisation methods
  7. 4.7Yard equipment routing
  8. 4.8Shift planning
  9. 4.9Scenario comparison
  10. 4.10Workshop: berth allocation with linear programming
  1. 5.1Concept of a digital twin
  2. 5.2Real-time data architecture
  3. 5.3Sensors and the Internet of Things
  4. 5.4Integration with BIM and GIS
  5. 5.53D visualisation of the terminal
  6. 5.6Predictive models with machine learning
  7. 5.7Operational decision support
  8. 5.8Digital twins of reference ports
  9. 5.9Governance and cybersecurity
  10. 5.10Case study: requirements of a terminal digital twin
  1. 6.1Definition of the operational problem
  2. 6.2Data collection
  3. 6.3Development of the conceptual model
  4. 6.4Model implementation
  5. 6.5Verification and validation
  6. 6.6Scenario experimentation
  7. 6.7Analysis of results
  8. 6.8Operational recommendations for the terminal
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are no fixed timetables: learners progress at their own pace within the intake, which makes it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The software used is AnyLogic, FlexSim, Python with SimPy, Gurobi, QGIS, in free, academic or evaluation versions. Exercises are based on real procedures for simulating quay and yard capacity, optimising berth allocation and specifying a terminal digital twin. Assessment is continuous per module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:faculty with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, ciber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Definition of the operational problem

Formulate conceptual models of port systems.

Data collection

Prepare and characterise operational data for simulation.

Development of the conceptual model

Build discrete-event simulation models of terminals.

Model implementation

Verify and validate models with real data.

Verification and validation

Apply optimisation techniques to berths, cranes and equipment.

Career opportunities

Where this takes you

Port simulation analystOperational research engineerMaritime data scientistPort planning consultantDigital twin specialistStrategic terminal planner
Admissions & scholarships

Requirements

  • No prior degree required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow the reading of technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 300 hours spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

The course uses AnyLogic, FlexSim, Python with SimPy, Gurobi and QGIS. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma on passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher programme. Check the recognition policy when you enrol.

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