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

• 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: https://www.unitn.it/drmmse/23/teaching-activities

Contact dii.phd [at] 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
• 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 dii.phd [at] unitn.it)

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: https://www.unitn.it/dricam/913/academic-year-2023-2024

Contact dicamphd [at] unitn.it 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: 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 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: https://www.unitn.it/drbs/36/teaching-activities

Contact phd.bioscie [at] unitn.it 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