Technological/Scientific Courses | Doctorate Program in Industrial Innovation

Technological/Scientific Courses

Mandatory course

Research Methodology offered by IECS Doctoral School - DISI

Courses offered by IECS Doctoral School - DISI

Courses' description and scheduling:

  • Research methodology (mandatory)
  • Advanced Deep Learning
  • Advanced Pattern Recognition
  • Advanced probabilistic modeling: from generative to neuro-symbolic AI
  • AI Ethics Today
  • Algorithm engineering and experimental algorithmics
  • Applied Formal Methods
  • Computing for sustainable socio-ecologies: an introduction from a sustainable interaction design perspective
  • Computing in Communication Networks
  • Cooperative Games and Team Optimization: Basic Concepts and Case Studies
  • Business Agility
  • Engineering Gamified Systems
  • Network intrusion detection with Deep Learning
  • Quality Diversity - extending the phenotype in evolutionary optimization
  • Spaceborne Synthetic Aperture Radar (SAR): Principles, Imaging Techniques and Future Developments

Courses offered by Doctoral Programme in Materials, Mechatronics and Systems Engineering – DII

Courses' description and scheduling:

Contact [at] to enrol on the courses listed below.

Materials Science and Engineering

  • Biodesign applied to tissue engineering*
  • Coatings for corrosion protection and electrochemical surface characterization
  • Environmental sustainability of the materials
  • Scanning probe microscopy – Theory and Practice
  • Optical properties of nanomaterials
  • Computational thermodynamics II
  • Design and manufacturing of (nano) technologies for controlled release of biomacromolecules
  • Electron microscopy techniques – Theory
  • Electron microscopy techniques – Practice
  • Elemental analysis by X-ray spectroscopy – Practice*
  • Friction and Wear of Materials
  • Materials science and technology
  • Qualification SEM and TEM*
  • Thermal analysis

* Courses offered on demand (contact [at]

Mechatronics and Mechanical Systems

  • Mathematical epidemiology - modelling, parametrization and applications
  • Mechanical vibrations in spacecraft design
  • Object Detection for Automotive Applications and Space Exploration: reliability opportunities and challenges
  • Saturated control systems
  • Scientific computing
  • Simulating autonomous car dynamics with IPG CarMaker
  • Vision-language-action models for robotics and autonomous vehicles

Electronic Systems and Integrated Microelectronic Systems

  • Designing and programming the Internet of Things (IoT).
  • Image sensors
  • Silicon radiation detectors
  • The electrification behind the green revolution

Operational Research

  • Basics of reliability engineering
  • Project management
  • Simulation of production and logistics processes

Multidisciplinary Research Tools and Languages

  • Multidisciplinary integrated design project
  • Virtual instruments for data acquisition and signal analysis

Courses offered by Doctoral Programme in Civil, Environmental and Mechanical Engineering – DICAM

Courses' description and scheduling:

Contact dicamphd [at] to enrol on the courses listed below.

  • An Introduction to Nonlinear Solid Mechanics
  • GEOframe Winter School GWS2024
  • Winterschool part I - Advanced numerical methods for free surface hydrodynamics
  • Winterschool part II - Advanced numerical methods for hyperbolic equations
  • Tipping Behavior in the Climate System 
  • Mathematical Methods for Engineering 
  • Multiscale nonlinear continuum mechanics of solids undergoing disarrangements 
  • Environmental data management and analysis with GIS
  • Microelectromechanical systems: from established engineering applications to research platforms
  • X-ray Diffraction applied to the study of polycrystalline materials: theory and practice
  • Models and Applications for Transportation Systems Analysis
  • Soundscape in the built environment: theory, methods, and application to the field of building ventilation
  • Waves in metamaterials and periodic structures
  • Life Cycle Assessment for the built environment: theory, methods, and applications
  • Hydro Climatology and Paleohydrology
  • Perturbation methods: theory and applications (River Morphodynamics and Structural Mechanics)
  • Integrated river morphodynamics
  • Turbulence in environmental flows
  • Advanced geomatics and Earth observation for environment
  • Numerical Modelling of Weather and Climate
  • Collaborative approaches for the digital documentation, representation an design of territories and landscapes
  • Molecular Dynamics: a primer with elements of statistical mechanics
  • Artificial intelligence and Machine Learning Methods for Environmental Applications 
  • Ground Penetrating Radar for Civil and Environmental Inspections
  • Machine Learning & AI Methods - Theory, techniques, and Advanced Engineering Applications
  • Quantum Electromagnetics
  • Surface Electromagnetics for Wireless Communications and Sensing
  • On water. Designing climate-responsive landscape and infrastructure

Courses offered by Doctoral Programme in Physics

Courses’ description and scheduling are available at:

  • Advanced techniques in experimental physics
  • Multiscale modeling: from the atom to the cell
  • Data Analysis methods for Physics
  • Advanced interferometry
  • Advanced statistical mechanics: Relaxation to equilibrium and transport phenomena
  • Electron-Atom Collisions and Spin-Polarization Phenomena
  • Entanglement in Many-Body Systems: from Concepts to Algorithms
  • Optical and spectroscopic diagnostic of materials for photonics
  • Quantum sensing
  • Radiation Chemistry
  • Space-based observation techniques and methods
  • Quantum field theory on curved space
  • Many-body physics with ultracold atoms and light
  • Advanced topics in quantum information theory 
  • Quantum phases of matter: From Landau theory to topological order
  • Molecular Modeling, Design and Graphics
  • Engineered quantum nanosystems: theoretical methods and experiments
  • Physical methods in polymer science 
  • TALENT (Training in Advanced Low-Energy Nuclear Physics) _to be confirmed
  • ECT* Doctoral Training Programme - to be confirmed
  • Scientific Writing, Speaking and Storytelling

Courses offered by Doctoral Programme in Biomolecular Sciences - CIBIO

Courses’ description and scheduling are available at:

Contact phd.bioscie [at] to enrol on the courses listed below.

  • Laboratory safety course
  • Introduction to data protection, security, and privacy
  • Scientific Publishing & Communication

Biomolecular Curriculum

  • RNA Molecular Biology and Biotechnology
  • Chemical modifications and organic synthesis of biomolecules
  • Origins of Life
  • From FLIES, FISH, FROGS, and MICE, how to perform cutting-edge science to study human diseases.
  • Advanced imaging approaches in Biomedicine
  • Neural Stem cell
  • Epigenetics mechanisms and their role during Cell Differentiation and transformation, Metabolism, Neuronal diseases
  • Regenerative medicine and Artificial Intelligence applications to biomedicine
  • Statistical methods for experiment design and data analysis

Bio - Industry Curriculum

  • Entrepreneurial Basic Skills for Biotech
  • Module 1: From innovation to a business model
  • Entrepreneurial Basic Skills for Biotech
  • Module 2: Working on a business plan
  • Preclinical research and clinical development programs of drugs
  • Inside Pharmas: Exploring R&D Organizations, Teams, Roles and Drug Portfolio
  • Liquid biopsy: principles, technologies and diagnostic perspectives
  • Understanding and modeling drug dose - response relationships for drug development
  • Bioanalytical assay development: from lab innovations to industry transition

Quantitative Biology Curriculum

  • Introduction to metagenomics
  • Getting started with R and RStudio: a hands-on introduction
  • Data Exploration
  • Applied Statistics for High-Throughput Biology with Application to Single-cell Sequencing

Image by Gerd Altmann from Pixabay