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

  • Research methodology (mandatory)
  •  Engineering Gamified Systems
  • (Inductive) Logic Programming and Explainable AI
  • Advanced AI approaches to Digital Humanities applications and beyond
  • Advanced digital forensics
  • AI Ethics Today
  • Answer Set Programming in Knowledge Representation
  • Computing for sustainable socio-ecologies: an introduction from a sustainable interaction design perspective
  • Network intrusion detection with Deep Learning
  • Ontology-Based Data Access
  • Requirements Engineering using AI and for AI 
  • Researching Operations & Supply Chain Management
  • Robot motion planning
  • Secure CompilatioN
  • Statistical Multimedia Security and Forensics
  • Towards brain programming
  • Visual Recognition beyond the Closed World

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
  • Computational thermodynamics I
  • 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*
  • Experimental mechanics of materials
  • Friction and Wear of Materials
  • Materials science and technology
  • Point defect chemistry, diffusion, and charge transport in ceramics
  • Qualification SEM and TEM*
  • Synchrotron-based techniques for characterization
  • of materials
  • Thermal analysis
  • X-ray diffraction: theory and applications to materials science and engineering

* Courses offered on demand (contact dii.phd [at] unitn.it)

Mechatronics and Mechanical Systems

  • Legged robot control
  • Modeling with Partial Differential Equations
  • Neural networks for Mechanics
  • Network dynamics
  • Non-linear hybrid dynamical systems
  • Non-linear vibrations
  • Robot learning from demonstration
  • Wave approaches to vibration control

Electronic Systems and Integrated Microelectronic Systems

  • Fundamentals of statistical estimation theory
  • Laboratory of electronic instrumentation

Operational Research

  • Decision-Making under Certainty, Risk and Uncertainty
  • An introduction to performance evaluation and data envelopment analysis (DEA)
  • Web strategy

Multidisciplinary Research Tools and Languages

  • Multidisciplinary integrated design project
  • Virtual instruments for data acquisition and signal analysis
  • Physical chemistry for cultural heritage

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

Courses' description and scheduling: https://www.unitn.it/dricam/913/academic-year-2022-2023

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

  • Molecular Dynamics: a primer with elements of statistical mechanics
  • GEOframe Winter School GWS2022 
  • Introductory nonlinear continuum mechanics
  • Introductory nonlinear mechanics of soft biological tissues
  • Winterschool part I - Advanced numerical methods for free surface hydrodynamics
  • Stochastic Dynamical Modeling
  • Winterschool part II - Advanced numerical methods for hyperbolic equations
  • Waves in metamaterials and periodic structures
  • Mathematical Methods for Engineering - theoretical part
  • Environmental data management and analysis with GIS
  • X-ray Diffraction applied to the study of polycrystalline materials: theory and practice
  • Models and Applications for Transportation Systems Analysis
  • Hydro Climatology and Paleohydrology
  • Advanced Numerical Methods for Environmental Modeling
  • Turbulence in environmental flows
  • Microelectromechanical systems: from established engineering applications to research platforms
  • Advanced geomatics and Earth observation for environment
  • Integrated river morphodynamics
  • Advanced Sampling and retrival Methods – The Compressive Processing
  • Paradigm
  • Global Optimization Methods - Theory, Techniques, and Advanced Engineering Applications
  • Numerical Modelling of Weather and Climate
  • Machine Learning & AI Methods - Theory, techniques, and Advanced Engineering Applications
  • Inverse Problems (Ill-Posedeness and Regularization): Theory, Techniques, and Engineering Applications
  • Multiphysics Metamaterials – Theory and Engineering Applications
  • 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

  • Scientific Writing, Speaking and Storytelling
  • 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
  • Casmolsim - Critical Assessment of Molecular Simulations Literature
  • Electron-Atom Collisions and Spin-Polarization Phenomena
  • Entanglement in many-body systems: from concepts to algorithms
  • Many-Body Physics In Open Quantum Systems
  • Molecular Dynamics and Path Integral Molecular Dynamics
  • Numerical relativity and computational fluid dynamics
  • Optical and spectroscopic diagnostic of materials for photonics
  • Quantum sensing
  • Radiation Chemistry
  • Bayesian Data Analysis in Cosmology
  • Space-based observation techniques and methods
  • To be defined
  • ECT* doctoral training programme 2023: high energy and nuclear physics within quantum technologies
  • https://www.isapp-schools.org/
     

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
  • Laboratory Techniques
  • Biostatistics - Module 1
  • Scientific Publishing & Communication
  • The rules of research: introduction to biolaw and research integrity
  • Introduction to the CIBIO Core Facilities
  • Make scientific figures better and faster

Biomolecular Curriculum

  • Molecular Spectroscopic Techniques
  • RNA Molecular Biology and Biotechnology
  • Chemical modifications and organic synthesis of biomolecules
  • Origins of Life
  • Developmental Biology. Mini-series of talks
  • Genomic and proteomic biomarkers: from target discovery to drug development applications
  • 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

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
  • Liquid biopsy: principles, technologies and diagnostic perspectives

Bio - Industry Curriculum

  • Module 1: Machine learning techniques for classification and regression tasks in bioinformatics
  • Module 2: Artificial intelligence techniques for the analysis and interpretation of single cell and spatial sequencing data
  • Introduction to metagenomics
  • Getting started with R and RStudio: a hands-on introduction
  • Data Exploration
  • Applied Statistics for High-Throughput Biology
     

Image by Gerd Altmann from Pixabay