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DTSTART;TZID=Europe/Brussels:20260815T080000
DTEND;TZID=Europe/Brussels:20261012T170000
DTSTAMP:20260918T083319Z
CREATED:20260825T074718Z
LAST-MODIFIED:20260918T083319Z
UID:10000108-1786780800-1791824400@unigreen-alliance.eu
SUMMARY:Welcome Week 2026
DESCRIPTION:A new academic year is about to begin\, and UNIgreen is welcoming students across Europe!  \n\n\n\nUNIgreen Welcome Week is an opportunity for students to discover the Alliance\, connect with fellow students from different European universities\, and take part in activities designed to help them feel at home in their new academic environment. \n\n\n\nThroughout a day or a week\, UNIgreen partner universities are organising a variety of activities\, events and experiences to welcome their students.  \n\n\n\nWhether you are joining UNIgreen for the first time or already part of our community\, this is a great opportunity to meet new people\, discover your university and explore what being part of a European University Alliance means. \n\n\n\nDiscover the Welcome Week activities organised by each UNIgreen university below! (More information coming soon!) \n\n\n\nPolytechnic University of Coimbra (Portugal)\nThe Polytechnic University of Coimbra (PUC) will host “Meet. Connect. Belong. – Erasmus+ Welcome Day” on 17 September 2026\, at 2:30 PM\, in the Auditorium of Coimbra Institute of Engineering (ISEC).  \n\n\n\nThe initiative aims to welcome Erasmus+\, international and exchange students who will be spending a mobility period at PUC during the first semester of the 2026/2027 academic year. During the session\, the participants will be informed about the UNIgreen Alliance\, its goals and opportunities for students.  \n\n\n\nThe event marks the beginning of an enriching academic and international experience\, giving newly arrived students the opportunity to get to know the PUC community\, make new connections and feel at home in Coimbra. \n\n\n\n\nSupBiotech Engineering School of Biotechnology (France)\nSupBiotech are delighted to welcome exchange students for the first semester and to have you join our international academic community! \n\n\n\nThe International Student Welcome Day has been designed to help students settle in\, discover life in France\, and understand the academic and administrative aspects of their exchange. \n\n\n\n\n\n13:30 – 14:00 \n\n\n\n\n\nStudent Arrival \n\n\n\n\n\n\n\n14:00 – 15:00 \n\n\n\n\n\nWelcome Presentations for StudentsInformational Presentations about Life in France; Administrative Elements \n\n\n\n\n\n\n\n15:30 – 16:00 \n\n\n\n\n\nMeeting with the Dean of Studies \n\n\n\n\n\n\n\n16:00 – 18:30 \n\n\n\n\n\nBoat Tour in Paris at Les Bateaux Mouches \n\n\n\n\n\n\nUniversity-College of the Province of Liège (Belgium)\nMonday 7 September \n\n\n\n\n\n09:00 \n\n\n\n\n\nArrival and Welcome \n\n\n\n\n\n\n\n15:00 \n\n\n\n\n\nVisit of the Erasmus House with important rules \n\n\n\n\n\nTuesday 8 September \n\n\n\n\n\n9:30 \n\n\n\n\n\nPresentation of HEPL\, visit and time with IR coordination \n\n\n\n\n\n\n\n12:00 \n\n\n\n\n\nLunch – provided by HEPL \n\n\n\n\n\n\n\n14:00 \n\n\n\n\n\nEscape box and international snack \n\n\n\n\n\nWednesday 9 September \n\n\n\n\n\n14:30 \n\n\n\n\n\nInitiation to Summer Biathlon \n\n\n\n\n\n\n\n18:00 \n\n\n\n\n\nFoodtruck: Discover French Fries \n\n\n\n\n\nWednesday 9 September \n\n\n\n\n\n14:30 \n\n\n\n\n\nInitiation to Summer Biathlon \n\n\n\n\n\n\n\n18:00 \n\n\n\n\n\nFoodtruck: Discover French Fries \n\n\n\n\n\nThursday 10 September \n\n\n\n\n\n10:00 \n\n\n\n\n\nDiscover Belgium with Pôle Liège-Luxembourg \n\n\n\n\n\n\n\n14:00 \n\n\n\n\n\nTreasure Hunt in Liège and taste the Liège waffle \n\n\n\n\n\n\n\n18:00 \n\n\n\n\n\nTaste the Liège meatballs \n\n\n\n\n\nFriday 11 September \n\n\n\n\n\n10:30 \n\n\n\n\n\nVisit of Bruges with ESN \n\n\n\n\n\n\n\n14:00 \n\n\n\n\n\nVisit of Bruges with ESN (paid activity : please contact the ESN team if you wish to participate \n\n\n\n\n\n\nUniversity of Modena and Reggio Emilia (Italy)\nUNIMORE International Welcome Day  Wednesday\, September 16th 2026\, at 10:30\, at the Fondazione Marco Biagi. \n\n\n\nProgramme \n\n\n\n\n10:30 – Welcome and greetings from the International Relations Office\n\n\n\n10:40–10:50 – International Welcome Desk: getting familiar with Italian administrative procedures\n\n\n\n10:50–11:00 – ESN Modena (Erasmus Student Network): “How to be internationally Italian” – insights on culture\, language\, and living in Italy.\n\n\n\n\nDuring the Welcome Day\, information stands providing essential support for your mobility period at UNIMORE will be available: \n\n\n\n\nInternational Relations Office – general information on your mobility at UNIMORE\n\n\n\nInternational Welcome Desk – accommodation\, residence permit\, fiscal code\, bank account\, and related services\n\n\n\nUniversity Language Centre (CLA) – Italian language courses and placement test registration\n\n\n\nUNIMORE Libraries (SBA) – access to libraries and related services\n\n\n\nTalentiAMO – Municipality of Modena project for attracting and supporting talent in Emilia-Romagna\n\n\n\nCUS Mo.Re – university sports activities\n\n\n\nESN Modena – student life and integration initiatives
URL:https://unigreen-alliance.eu/event/welcome-week-2026/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260901T080000
DTEND;TZID=Europe/Brussels:20261030T170000
DTSTAMP:20260825T074624Z
CREATED:20260825T074622Z
LAST-MODIFIED:20260825T074624Z
UID:10000109-1788249600-1793379600@unigreen-alliance.eu
SUMMARY:Science week 2026
DESCRIPTION:UNIgreen Science Week brings together students\, researchers and members of our academic community to explore science\, innovation and the challenges shaping our future. \n\n\n\nThroughout the a day or a week\, UNIgreen partner universities are organising a variety of activities\, talks\, workshops\, demonstrations and events to showcase the diversity of scientific expertise across their university. \n\n\n\nFrom green biotechnology and sustainable agriculture to environmental sciences and life sciences\, Science Week is an opportunity to discover new ideas\, exchange knowledge and connect with the people driving innovation across Europe. \n\n\n\nDiscover the Science Week activities organised by each UNIgreen university below! (coming soon)
URL:https://unigreen-alliance.eu/event/science-week-2026/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260916T000000
DTEND;TZID=Europe/Brussels:20261021T235959
DTSTAMP:20260918T073457Z
CREATED:20260918T071759Z
LAST-MODIFIED:20260918T073457Z
UID:10000112-1789516800-1792627199@unigreen-alliance.eu
SUMMARY:Practical Introduction to Artificial Intelligence for University Staff (2nd Edition)
DESCRIPTION:Discover modern AI tools. A hands-on course designed to boost productivity in academic and administrative tasks.\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill programme\n\n\n\nTarget group: Academic and Non-academic Staff\n\n\n\nLanguage: English\n\n\n\nCost: Free\n\n\n\nAvailable places: 60\n\n\n\nTeaching hours: 30\n\n\n\n\nDeadline for admission is 16 September 2026 \n\n\n\nAudience\n\n\n\nThis course is designed for university professionals including academic staff\, researchers\, and administrative staff who want to use AI tools in a practical and responsible way to improve everyday work (communication\, documentation\, planning\, and decision support)\, regardless of discipline or role. \n\n\n\nPre-requisites\n\n\n\n\nB2 or similar level of English is necessary.\n\n\n\nNo prior background in computer science\, mathematics\, or programming is required.\n\n\n\nBasic digital skills (using documents\, email\, and online tools) are sufficient.\n\n\n\nCuriosity about how AI tools can support everyday work is recommended.\n\n\n\nInterest in improving efficiency\, clarity\, and quality in university workflows is recommended.\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nThis course provides a practical introduction to modern Artificial Intelligence tools and how to use them effectively and responsibly in a university setting. Rather than focusing on theory or complex technical details\, it helps participants understand how AI systems behave\, how to communicate with them clearly\, and how to integrate them into real institutional and professional workflows. \n\n\n\nParticipants will learn how to use AI to support writing and editing\, research and information gathering\, knowledge management\, and content creation while understanding limitations\, reliability risks\, data considerations\, and the ethical implications relevant to higher education. \n\n\n\nContent\n\n\n\n\nHow AI tools work in practice: capabilities\, limitations\, and common sources of error. Advance Prompting for professional use. Structured ways to interact with AI in order to obtain useful outputs.\n\n\n\nApproaches adapted to different tasks and levels of complexity. Use of AI for teaching\, research\, and administration. Drafting and revising documents\, summarizing and structuring information\, improving internal communication\, and supporting collaboration.\n\n\n\nMultimodal uses: text\, images\, and audio. How AI can be integrated into existing workflows\, adapted to specific roles\, and used responsibly\, with attention to ethical considerations relevant to higher education.\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nUse AI tools confidently for administrative tasks or research and teaching activities.\n\n\n\nWrite clear prompts and requests that improve the relevance\, accuracy\, and usability of AI-generated outputs.\n\n\n\nCritically assess AI-generated information and recognize unreliable\, incomplete\, or incorrect content.\n\n\n\nApply AI to real situations such as document drafting\, knowledge management\, and multimedia creation.\n\n\n\nCustomize AI tools to personal needs using available settings and automation features.\n\n\n\n\nDuration\n\n\n\n30 hours (6 weeks\, 5 hours per week) \n\n\n\n\n2.5 hours of synchronous online sessions per week.\n\n\n\n2.5 hours of guided self-study per week.\n\n\n\n\n \n\n\n\n\n16 September: 11:30 – 14:00 (CEST)\n\n\n\n23 September: 11:30 – 14:00 (CEST)\n\n\n\n30 September: 11:30 – 14:00 (CEST)\n\n\n\n7 October: 11:30 – 14:00 (CEST)\n\n\n\n14 October: 11:30 – 14:00 (CEST)\n\n\n\n21 October: 11:30 – 14:00 (CEST)\n\n\n\n\nAssessment\n\n\n\nTo successfully complete the course\, participants are expected to: \n\n\n\n\nAttend at least 80% of the synchronous sessions.\n\n\n\nSubmit the assigned activities.\n\n\n\nParticipate actively in in-class dynamics and practical exercises.\n\n\n\n\nHow to Apply\n\n\n\nIf you are interested in this course\, register by clicking on the green bar (at the top and the botton of this page during the registration period).  \n\n\n\nYou will then be taken to the Boost platform to fill in your personal details and complete your pre-registration.  \n\n\n\nYou must use your institutional account from your home university to book this course\, If you do not have one\, you must request access credentials to this course Administrative Support team.  \n\n\n\nOnce you have them\, you will be able to log in to Boost and complete your registration.  \n\n\n\nFinally\, Administrative Support will confirm your registration and provide you with the login details for the online course through which you will be able to take this course. \n\n\n\nAdministrative Support: marta_hulak@sggw.edu.pl \n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/practical-introduction-to-artificial-intelligence-for-university-staff-2nd-edition/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260916T000000
DTEND;TZID=Europe/Brussels:20261021T235959
DTSTAMP:20260918T074744Z
CREATED:20260918T073251Z
LAST-MODIFIED:20260918T074744Z
UID:10000113-1789516800-1792627199@unigreen-alliance.eu
SUMMARY:Cybersecurity Introduction for Academic and Non-Academic Staff
DESCRIPTION:Fundamental digital security skills for safe teaching\, research\, and administrative work in a university environment\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill programme\n\n\n\nTarget group: Academic and Non-Academic Staff\n\n\n\nLanguage: English\n\n\n\nCost: Free\n\n\n\nAvailable places: 60\n\n\n\nTeaching Hours: 30\n\n\n\nECTS: 3\n\n\n\n\nDeadline for admission is 16 September 2026 \n\n\n\nAudience\n\n\n\nThe target audience includes: \n\n\n\n\nAcademic staff and lecturers\n\n\n\nResearchers and project coordinators\n\n\n\nPhD students involved in teaching\n\n\n\nAdministrative personne\n\n\n\nIT and technical staff\n\n\n\nInternational relations offices\n\n\n\nQuality assurance and project management staff\n\n\n\nPersonnel using LMS and cloud platforms.\n\n\n\n\nPre-requisites\n\n\n\n\nBasic digital literacy skills\, including confident use of a computer\, operating system (Windows\, macOS or Linux)\, and common software applications (Word\, Excel\, PDF).\n\n\n\nBasic experience in using the internet and email systems (e.g. Outlook\, Gmail)\, including sending attachments\, accessing links\, and navigating online platforms.\n\n\n\nFamiliarity with institutional digital environments\, such as learning management systems (e.g. Moodle)\, document management platforms\, university information systems\, or cloud services (Google Drive\, OneDrive\, Dropbox).\n\n\n\nRegular access to a computer and stable internet connection\, enabling participation in online learning activities and completion of self-study tasks.\n\n\n\nWillingness to apply good cybersecurity practices in daily professional activities related to handling institutional and personal data.\n\n\n\nBasic proficiency in English language\, sufficient to follow lectures\, understand terminology in the field of cybersecurity\, and complete course materials delivered in English.\n\n\n\nNo prior technical background in cybersecurity is required. The course is designed to provide practical knowledge and skills applicable to everyday professional tasks in a university environment.\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nCybersecurity has become an essential competency for every university employee. Academic institutions process sensitive personal information\, valuable research data\, intellectual property\, financial records\, and critical digital infrastructure\, making them frequent targets of cyberattacks. \n\n\n\nThis course introduces participants to the fundamental principles of cybersecurity and develops practical competencies for recognizing cyber threats\, protecting institutional data\, and adopting secure digital practices. Special attention is given to cybersecurity challenges specific to higher education institutions\, including research security\, cloud services\, online teaching environments\, artificial intelligence tools\, and compliance with GDPR. \n\n\n\nThe programme emphasizes practical awareness rather than technical administration\, enabling participants to become active contributors to the university’s cybersecurity culture. \n\n\n\nContent\n\n\n\n\nIntroduction to Cybersecurity in Higher Education\n\n\n\nCommon Cyber Threats in Higher Education\n\n\n\nEmail Security and Phishing Protection\n\n\n\nIdentity Protection\, Passwords and Multi-Factor Authentication\n\n\n\nPersonal Data Protection (GDPR) and Information Classification\n\n\n\nSecure Use of University Information Systems\n\n\n\nSecure Documents\, Cloud Services and Remote Work\n\n\n\nMalware\, Ransomware and Device Protection\n\n\n\nArtificial Intelligence and Cybersecurity\n\n\n\nCyber Incident Response and Cyber Hygiene\n\n\n\nDeveloping a Workplace Cybersecurity Improvement Project\n\n\n\nIndividual Project Presentations\, Emerging Cybersecurity Challenges and Course Synthesis\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nRecognize common cyber threats in higher education\n\n\n\nSecurely use university information systems and cloud services\n\n\n\nProtect institutional\, research and personal data\n\n\n\nRecognize phishing and social engineering attacks\n\n\n\nApply secure practices when using AI tools\n\n\n\nRespond appropriately to cybersecurity incidents\n\n\n\nContribute to a cybersecurity-aware university culture.\n\n\n\n\nDuration\n\n\n\nTeaching hours: 30 hours \n\n\n\n\n30 synchronous hours\n\n\n\n21 asynchronous hours\n\n\n\n24 hours independent self-study\n\n\n\n\nAll Student workload: 75 hours \n\n\n\n\n5 hours of synchronous online sessions per week. \n\n\n\n7\,5 hours of guided self-study per week.\n\n\n\n\n \n\n\n\n\n22 September 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n24 September 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n29 September 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n\n\n1st October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n6th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n8th October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n13th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n15th October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n20th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n22nd October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n27th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n29th October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n\nAssessment\n\n\n\nTo successfully complete the course\, participants are expected to: \n\n\n\n\nAttend at least 80% of the synchronous sessions.\n\n\n\nComplete asynchronous learning activities.\n\n\n\nSubmit module assignments.\n\n\n\nPrepare a Workplace Cybersecurity Improvement Project.\n\n\n\nDeliver an 8–10 minute project presentation.\n\n\n\n\nHow to Apply\n\n\n\nIf you are interested in this course\, register by clicking on the green bar (at the top and the botton of this page during the registration period).  \n\n\n\nYou will then be taken to the Boost platform to fill in your personal details and complete your pre-registration.  \n\n\n\nYou must use your institutional account from your home university to book this course\, If you do not have one\, you must request access credentials to this course Administrative Support team.  \n\n\n\nOnce you have them\, you will be able to log in to Boost and complete your registration.  \n\n\n\nFinally\, Administrative Support will confirm your registration and provide you with the login details for the online course through which you will be able to take this course. \n\n\n\nAdministrative Support: donika@au-plovdiv.bg \n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/cybersecurity-introduction-for-academic-and-non-academic-staff/
CATEGORIES:Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260928T000000
DTEND;TZID=Europe/Brussels:20261109T235959
DTSTAMP:20260918T083039Z
CREATED:20260918T082056Z
LAST-MODIFIED:20260918T083039Z
UID:10000114-1790553600-1794268799@unigreen-alliance.eu
SUMMARY:Applied Data Analysis with Machine Learning and LLMs for Staff
DESCRIPTION:A hands-on introduction to how modern AI tools work and how to apply them effectively across teaching\, research\, and administrative contexts.\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill program\n\n\n\nTarget group: Academic and Non-academic Staff\n\n\n\nLanguage: English\n\n\n\nCost: Free\n\n\n\nAvailable places: 60\n\n\n\nTeaching hours: 27\n\n\n\nECTS: 3\n\n\n\n\nDeadline for admission is 16 September 2026 \n\n\n\nAudience\n\n\n\nThis course is designed for university professionals including academic staff\, researchers\, and administrative staff who want to gain a practical understanding of data analysis and Artificial Intelligence tools. It focuses on the use of tabular and textual data analysis techniques\, machine learning basics\, and Large Language Models to support everyday activities such as data processing\, information retrieval\, documentation\, and workflow automation. It also introduces the fundamentals of AI agents and their application to simple automated tasks. \n\n\n\nPre-requisites\n\n\n\n\nB2 or similar level of English is necessary.\n\n\n\nBasic knowledge of Python is required (e.g.\, understanding variables\, functions\, and basic scripting).\n\n\n\nBasic digital skills\, such as using documents and email\, are required.\n\n\n\nA Google account is required to access and run the practical activities on Google Colab notebooks.\n\n\n\n\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nThis course provides a practical introduction to data analysis\, machine learning\, and Generative Artificial Intelligence\, with a particular focus on applications relevant to university technical and administrative staff. \n\n\n\nParticipants will learn how to acquire\, manipulate\, analyze\, and visualize tabular data using Python-based tools\, and how to develop machine learning workflows for classification\, regression\, and clustering tasks. The course will then introduce Large Language Models (LLMs) and Generative AI techniques for text analysis\, semantic search\, information extraction\, and workflow automation. \n\n\n\nThe course combines theoretical foundations with extensive hands-on activities based on Google Colab notebooks and real-world case studies. Particular attention will be devoted to practical problem solving\, enabling participants to apply AI and data-driven approaches to common institutional scenarios involving both structured and unstructured data. \n\n\n\nParticipants will: \n\n\n\n\nexplore AI agents and workflow automation solutions.\n\n\n\nlearn how to manipulate and transform tabular datasets using Pandas;\n\n\n\ncreate effective visualizations and perform exploratory data analysis;\n\n\n\nunderstand and apply machine learning techniques for classification\, regression\, and clustering;\n\n\n\ndevelop complete data analysis pipelines using Scikit-learn;\n\n\n\nunderstand the fundamental principles of Generative AI and Large Language Models;\n\n\n\napply semantic search\, text classification\, and information extraction techniques;\n\n\n\ndesign effective prompts for AI-assisted tasks;\n\n\n\nexplore AI agents and workflow automation solutions.\n\n\n\n\nContent\n\n\n\nModule 1 – Tabular Data Management with Pandas \n\n\n\n\nReading and writing data from different file formats;\n\n\n\nSeries and DataFrame structures;\n\n\n\nData selection\, indexing\, and filtering;\n\n\n\nData cleaning and transformation techniques;\n\n\n\nPractical exercises on real-world data manipulation tasks.\n\n\n\n\nModule 2 – Data Visualization \n\n\n\n\nPrinciples of data visualization;\n\n\n\nIntroduction to Matplotlib and Seaborn;\n\n\n\nCommon visualization techniques and plot types;\n\n\n\nUnivariate and multivariate data analysis;\n\n\n\nVisualization-driven exploratory data analysis.\n\n\n\n\nModule 3 – Machine Learning with Scikit-learn \n\n\n\n\nIntroduction to machine learning workflows;\n\n\n\nData preprocessing and feature transformations;\n\n\n\nScikit-learn estimators and pipelines;\n\n\n\nClassification methods and evaluation metrics;\n\n\n\nRegression methods and evaluation metrics;\n\n\n\nClustering techniques and dimensionality reduction (PCA);\n\n\n\nEnd-to-end machine learning pipelines.\n\n\n\n\nModule 4 – Text Analytics with Large Language Models \n\n\n\n\nIntroduction to Artificial Intelligence and Large Language Models;\n\n\n\nTransformer-based architectures;\n\n\n\nSemantic search and Retrieval-Augmented Generation concepts;\n\n\n\nText classification and clustering;\n\n\n\nPrompt engineering techniques;\n\n\n\nPractical applications on institutional documents and textual data.\n\n\n\n\nModule 5 – Agentic AI and Workflow Automation \n\n\n\n\nIntroduction to AI agents;\n\n\n\nTool integration and workflow orchestration;\n\n\n\nPractical examples of AI-assisted automation.\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nacquire\, manipulate\, and transform tabular datasets using Pandas;\n\n\n\nperform exploratory data analysis through appropriate visualizations;\n\n\n\ndevelop machine learning workflows for classification\, regression\, and clustering tasks;\n\n\n\nevaluate machine learning models using suitable performance metrics;\n\n\n\nbuild complete data processing and analysis pipelines using Scikit-learn;\n\n\n\nunderstand the fundamental principles of Generative AI and Large Language Models;\n\n\n\napply semantic search and text analytics techniques to institutional documents;\n\n\n\ndesign effective prompts for AI-assisted tasks;\n\n\n\nunderstand the principles of AI agents and workflow automation tools\n\n\n\n\nDuration\n\n\n\n\nSynchronous Activities (Lectures): 27 hours\n\n\n\nAsynchronous Activities (Exercises): 24 hours\n\n\n\nSelf-Learning: 24 hours\n\n\n\nTotal Student Workload: 75 hours\n\n\n\n\nSchedule: \n\n\n\n\nMonday\, September 28\, 2026 09:00-12:00\n\n\n\nThursday\, October 1\, 2026 09:00-11:00\n\n\n\nThursday\, October 8\, 2026 09:00-13:00\n\n\n\nMonday\, October 12\, 2026 09:00-12:00\n\n\n\nThursday\, October 15\, 2026 09:00-11:00\n\n\n\nMonday\, October 19\, 2026 09:00-12:00\n\n\n\nThursday\, October 22\, 2026 09:00-11:00\n\n\n\nMonday\, November 2\, 2026 09:00-12:00\n\n\n\nThursday\, November 5\, 2026 09:00-11:00\n\n\n\nMonday\, November 9\, 2026 09:00-12:00\n\n\n\n\nAssessment\n\n\n\nThe evaluation of the course is based on the completion of the practical assignments proposed during the course. \n\n\n\nParticipants are required to submit the assigned notebooks before the synchronous lecture in which the corresponding solutions will be discussed. Each notebook will be evaluated according to the completion of the assigned exercises and the correctness of the proposed solutions. \n\n\n\nThe course completion requirement is achieved by: \n\n\n\n\nattending at least 80% of the synchronous sessions.\n\n\n\nsubmitting all assigned notebooks;\n\n\n\nsuccessfully completing at least 70% of the proposed exercises across the practical activities.\n\n\n\n\nExercises will contribute equally to the final evaluation\, and partial completion of an exercise will be considered when assessing the overall completion level. The evaluation is intended to verify the participant’s ability to apply the concepts introduced during the course rather than to assess theoretical knowledge only. \n\n\n\nHow to Apply\n\n\n\nIf you are interested in this course\, register by clicking on the green bar (at the top and the botton of this page during the registration period).  \n\n\n\nYou will then be taken to the Boost platform to fill in your personal details and complete your pre-registration.  \n\n\n\nYou must use your institutional account from your home university to book this course\, If you do not have one\, you must request access credentials to this course Administrative Support team.  \n\n\n\nOnce you have them\, you will be able to log in to Boost and complete your registration.  \n\n\n\nFinally\, Administrative Support will confirm your registration and provide you with the login details for the online course through which you will be able to take this course. \n\n\n\nAdministrative Support: grighetti@unimore.it \n\n\n\n\nMore Info and Registration
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