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: https://iecs.unitn.it/education/courses

  • Advanced Multimodal Learning
  • Advanced Techniques and Ethical Considerations in LLM Prompt Engineering
  • AI Ethics Today
  • AI/ML-Assisted Positioning and Sensing in Wireless Network
  • Bridging Cooperative Games, Team Optimization, and Machine Learning: Basic Concepts and Case Studies
  • Embodied and Conversational AI in Extended Reality
  • Knowledge Graphs - advanced topics
  • Mastering Foundation Models: Techniques and Applications for Advanced AI Tasks 
  • Network intrusion detection with Deep Learning
  • Radar and multispectral sensors in Earth observations and planetary exploration
  • Research Methodology (Mandatory)
  • Robot motion planning

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

Courses' description and scheduling: https://www.unitn.it/drmmse/23/teaching-activities

Contact dii.phd@unitn.it to enrol on the courses listed below.

Materials Science and Engineering

  • Biodesign applied to tissue engineering*
  • Coatings for corrosion protection and electrochemical surface characterization
  • Computational thermodynamics I
  • Electron microscopy techniques – Theory
  • Electron microscopy techniques – Practice
  • Elemental analysis by X-ray spectroscopy – Practice*
  • Environmental sustainability of the materials*
  • Experimental mechanics of materials *
  • Fracture nanomechanics
  • Friction and Wear of Materials
  • Materials science and technology
  • Point defect chemistry, diffusion, and charge transport in ceramics
  • Qualification SEM and TEM*
  • Scanning probe microscopy – Theory and Practice*
  • Thermal analysis
  • X-ray diffraction: theory and applications to materials science and engineering

* Courses offered on demand (contact dii.phd@unitn.it)

Mechatronics and Mechanical Systems

  • Factor Graphs for SLAM
  • Legged robot control
  • Modelling with Partial Differential Equations
  • Optimization and Optimal Control for Epidemic Management and Public Health Interventions
  • Robot learning from demonstration
  • Saturated control systems

Electronic Systems and Integrated Microelectronic Systems

  • Fundamentals of statistical estimation theory
  • Laboratory of Electronic Instrumentation

Management Engineering

  • Design and management of assembly lines in the era of Industry 5.0

Multidisciplinary Research Tools and Languages

  • Multidisciplinary integrated design project

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

Courses' description and scheduling: https://www.unitn.it/dricam/913/academic-year-2024-2025

Contact dicamphd@unitn.it to enrol on the courses listed below.

  • An Introduction to Nonlinear Solid Mechanics
  • Fundamentals of Environmental Sustainability
  • Machine Learning & AI Methods - Theory, techniques, and Advanced
  • Engineering Applications
  • Applications of Perturbation Methods to Structural Dynamics
  • GEOframe Winter School GWS2025
  • Winterschool part I - Advanced numerical methods for free surface hydrodynamics
  • Nonequilibrium and Metamaterials thermodynamic
  • Collaborative approaches for the digital documentation, representation and design of territories and landscapes
  • Stochastic Dynamical Modeling
  • Design of linear and nonlinear metastructures 
  • Reliability and randomized metamaterials 
  • Winter School part II - Advanced numerical methods for hyperbolic equations
  • Turbulence in environmental flows
  • Environmental Sustainability - Advanced
  • Snow Hydrology: Processes, Measurement, and Modeling
  • Mathematical Methods for Engineering
  • Hydro Climatology and Paleohydrology
  • Environmental data management and analysis with GIS
  • Instruments and methodologies for architectural design research
  • X-ray Diffraction applied to the study of polycrystalline materials: theory and practice
  • Models and Applications for Transportation Systems Analysis
  • Life Cycle Assessment for the built environment: theory, methods, and applications
  • Integrated river morphodynamics
  • Applied Limnology: A Practical Introduction to Monitoring and modelling of lakes
  • Numerical Modelling of Weather and Climate
  • Advanced geomatics and Earth observation for environment
  • Molecular Dynamics: a primer with elements of statistical mechanics
  • Introduction to the mechanics of multiscale disarranged continua through structured deformations
  • On water. Designing climate-responsive landscape and infrastructure
  • Ground Penetrating Radar for Civil and Environmental Inspections
  • Inverse Problems and Electromagnetic Diagnostics for Environment
  • Surface Electromagnetics for Wireless Communications and Sensing
  • Radar Systems and Technologies
  • Phased Array Antenna Analysis and Synthesis
  • Electromagnetic Field Theory and Applications
  • Soundscape in the built environment: theory, methods, and application to the field of building ventilation

Courses offered by Doctoral Programme in Physics

Courses’ description and scheduling are available at: https://www.unitn.it/drphys/en/129/training-programme

  • Advanced techniques in experimental physics
  • Multiscale modeling: from the atom to the cell
  • Data Analysis methods for Physics
  • 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
  • Implementing robust and reproducible scientific workflows with Python and Git
  • Optical and spectroscopic diagnostic of materials for photonics
  • Quantum sensing
  • Radiation Chemistry
  • Space-based observation techniques and methods
  • Physics of Magnetic Resonance Imaging
  • Astrochemistry 
  • Many-body physics with ultracold atoms and light
  • Advanced topics in quantum many body physics: from strongly interacting to topological matter 
  • Molecular Modeling, Design and Graphics
  • Physical methods in polymer science 
  • ECT* Doctoral Training Programme 
  • Communication and dissemination in Physics

Courses offered by Doctoral Programme in Biomolecular Sciences - CIBIO

Courses’ description and scheduling are available at: https://www.unitn.it/drbs/36/teaching-activities

Contact phd.bioscie@unitn.it to enrol on the courses listed below.

  • Laboratory safety course
  • Introduction to data protection, security, and privacy
  • Scientific Publishing & Communication
  • The rules of research: introduction to biolaw and research integrity
  • Science and Diplomacy: facing global challenges
  • Decoding your science
  • Introduction to the CIBIO Core Facilities
  • Make scientific figures better and faster Module A: data visualization
  • Make scientific figures better and faster Module B: images and figure composition

Biomolecular Curriculum

  • RNA Molecular Biology and Biotechnology
  • Chemical modifications and organic synthesis of biomolecules
  • From FLIES, FISH 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
  • From research to market of medical laboratory testing: readiness levels, optimal design of experiments, diagnostic tests development, quality and regulatory compliance

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