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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260423
DTEND;VALUE=DATE:20260501
DTSTAMP:20260614T191734
CREATED:20260204T133730Z
LAST-MODIFIED:20260204T133730Z
UID:10001792-1776902400-1777593599@ddsa.dk
SUMMARY:Artificial intelligence for scientific writing
DESCRIPTION:This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific writing processes.Disclaimer:\nDDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/artificial-intelligence-for-scientific-writing/
LOCATION:Aarhus
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20250131T080000
DTEND;TZID=Europe/Copenhagen:20250131T100000
DTSTAMP:20260614T191734
CREATED:20250128T142818Z
LAST-MODIFIED:20250128T143854Z
UID:10001443-1738310400-1738317600@ddsa.dk
SUMMARY:Aarhus Networking Breakfast by DDSA & DDSC
DESCRIPTION:Bring your colleagues for a nice tasty Danish breakfast\, while networking over coffee. \nINCUbistro at INCUBA Katrinebjerg\, 8200 Aarhus \nFrom 8-10am\, friday 31 January 2025 \nSign up here: https://www.eventbrite.com/e/1219297183699?aff=oddtdtcreator \nHosted By: Danish Data Science Academy & Danish Data Science Community
URL:https://ddsa.dk/event/aarhus-networking-breakfast-by-ddsa-ddsc/
LOCATION:Aarhus
CATEGORIES:DDSA-Organised Event
ORGANIZER;CN="DDSA":MAILTO:secretariat@ddsa.dk
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241112
DTEND;VALUE=DATE:20241116
DTSTAMP:20260614T191734
CREATED:20240821T085935Z
LAST-MODIFIED:20240821T085935Z
UID:10001350-1731369600-1731715199@ddsa.dk
SUMMARY:Quantitative text analysis for humanities scholars: A corpus-based approach to large-scale text analysis
DESCRIPTION:Course description\n The course offers an introduction to analyzing texts through a combination of close reading strategies and quantitative corpus-based approaches.\n The course aims to introduce participants to the skills and knowledge necessary to conduct large-scale analyses of discourse in various contexts using quantitative corpus-based methods. During the course\, we will work mainly with media texts as an example\, but the methods introduced will be applicable to many different types of text\, e.g.\, social media posts\, policy documents\, news articles\, and literary texts. We will mainly be working with corpora of English texts\, but the methods introduced can equally well be applied to Danish text corpora.\n Upon completing the course\, participants will have acquired a deeper understanding of the process of constructing a digital text corpus. They will have learnt how to operationalize research questions effectively and have gained hands-on experience in performing large-scale text analysis through quantitative corpus linguistic methods.\n The quantitative and corpus-based approach presented in the course is relevant in a wide range of different research contexts including sociolinguistics\, critical discourse analysis\, media studies\, literary studies and more.\n The course also includes a basic introduction to working with text in Python. Participants will learn to use Python to preprocess and analyze large text corpora\, they will also learn how to use NLP tools such as sentiment analysis and topic modeling to identify linguistic patterns and features in discourse.\n No prior experience with Python or statistics is required.  \n Aim\n This course aims to introduce participants to the skills and knowledge necessary to conduct large-scale analyses of discourse in various contexts using quantitative corpus-based methods. \nLiterature\n Baker\, P. (2012). Acceptable bias? Using corpus linguistics methods with critical discourse analysis. Critical Discourse Studies\, 9(3)\, 247–256. https://doi.org/10.1080/17405904.2012.688297 \nJacobs\, T.\, & Tschötschel\, R. (2019). Topic models meet discourse analysis: A quantitative tool for a qualitative approach. International Journal of Social Research Methodology\, 22(5)\, 469–485. https://doi.org/10.1080/13645579.2019.1576317 \nManovich\, L. (2020). Cultural analytics. The MIT Press. \nNordahl-Hansen\, A.\, & Kvernbekk\, T. (2020). Construct Validity in Scientific Representation: A Philosophical Tour. Nordisk tidsskrift for pedagogikk & kritikk\, 6\, 88–99. https://doi.org/10.23865/ntpk.v6.1704\n  \n Ondelli\, S. (2018). Treat Texts as Data but Remember They Are Made of Words: Compiling and Pre-processing Corpora. I A. Tuzzi (Red.)\, Tracing the Life Cycle of Ideas in the Humanities and Social Sciences (s. 133–150). Springer International Publishing. https://doi.org/10.1007/978-3-319-97064-6_7 \nTarget group/Participants\n The course is especially relevant for early-stage PhD-students\, but it is also relevant for later-stage students already working with corpus-based approaches or discourse analysis. \n\n No prior experience with Python or statistics is required.  \nLanguage    \n English \nForm\n Lectures and hands-on workshops \nECTS-credits\n 3 \nLecturers \nUlf Dalvad Berthelsen\n Yuri Bizzoni \nTeaching assistant\n Ea Lindhardt Toft \nVenue\n Campus Aarhus     \nVenue\n Campus Aarhus     \n12/11: 10.00-16.00 – Jens Chr. Skous Vej 7\, 8000 Aarhus C. Building 1465\, room 616\n 13/11: 9.00-16.00 – Åbogade 15\, 8200 Aarhus N. Building 5524\, room 137\n 14/11: 9.00-16.00 – Helsingforsgade 8 \, 8200 Aarhus N. Building 5008\, room 128H\n 15/11: 9.00-14.00 – Åbogade 15\, 8200 Aarhus N. Building 5524\, room 137 \nApplication deadline\n Please apply for a seat on the course via https://au.phd-courses.dk/CourseCatalog/ShowCourse/1500 no later than 10 October 2024.  \nCourse dates \n12 November 2024 10:00 – 16:00\n 13 November 2024 09:00 – 16:00\n 14 November 2024 09:00 – 16:00\n 15 November 2024 09:00 – 14:00 \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/quantitative-text-analysis-for-humanities-scholars-a-corpus-based-approach-to-large-scale-text-analysis/
LOCATION:Aarhus
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241022
DTEND;VALUE=DATE:20241024
DTSTAMP:20260614T191734
CREATED:20240424T103039Z
LAST-MODIFIED:20240424T103039Z
UID:10001102-1729555200-1729727999@ddsa.dk
SUMMARY:Introduction to R
DESCRIPTION:The aim of the course is to introduce the student to the basic use of the software R. The course is designed to build up the basic skills in R necessary for attending to the PhD course Basic Statistical Analysis.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/introduction-to-r/
LOCATION:Aarhus
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241009
DTEND;VALUE=DATE:20241024
DTSTAMP:20260614T191734
CREATED:20240424T090734Z
LAST-MODIFIED:20240424T090734Z
UID:10001103-1728432000-1729727999@ddsa.dk
SUMMARY:Basic Data Science in Python
DESCRIPTION:The aim of the course is to introduce the PhD student to basic tasks\, methods and evaluation procedures in data science\, using Python and its libraries and environments.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/basic-data-science-in-python/
LOCATION:Aarhus
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240909
DTEND;VALUE=DATE:20240914
DTSTAMP:20260614T191734
CREATED:20240424T091241Z
LAST-MODIFIED:20240424T091241Z
UID:10001101-1725840000-1726271999@ddsa.dk
SUMMARY:Introduction to Python for Data Science
DESCRIPTION:The aim of the course is to introduce the student to the basic use of the programming language Python. The course is designed to build up the basic skills in Python necessary for attending the course Basic Data Science in Python.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/introduction-to-python-for-data-science/
LOCATION:Aarhus
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240610
DTEND;VALUE=DATE:20240612
DTSTAMP:20260614T191734
CREATED:20240424T084259Z
LAST-MODIFIED:20240424T084259Z
UID:10001177-1717977600-1718150399@ddsa.dk
SUMMARY:Dairy protein biochemistry and proteomics 2024
DESCRIPTION:Objectives of the course: \nThe course is intended as a combined PhD course and Masterclass. Dairy proteins are an important component of dairy products\, but also one of the most widely used proteins in the food industry. Within this masterclass\, you will learn about the specific features of the two main classes of dairy proteins\, whey proteins and caseins. You will gain insight into the different analytical methodologies that exist to characterize dairy proteins\, their variations\, and molecular features\, like modifications. Finally\, you will gain quantitative insight into the nutritional quality of dairy proteins in the human diet. Research communication aspects in the context of your project and the discussion of application of analytical methods included at the course. \n  \nLearning outcomes and competences: \nAt the end of the course\, the student should be able to: \n– Use original scientific literature in the design and planning of experiments related to milk protein biochemistry \n– Critically assess obtained results regarding milk protein biochemical features using protein chemistry techniques \n– Account for relations between structural features in milk proteins and their technological and nutritious properties \n-Being able to assess choice of methodologies for assessment of milk protein biochemistry \n-Understand the concepts of proteomics\, peptidomics and methodologies behind\, including examples of relevant bioinformatics tools to support these \n-Communicate own research \n  \nCourse parameters: \nLanguage: English \nLevel of course: PhD course \nTime of year: 10-11 June 2024 \nNo. of contact hours/hours in total incl. preparation\, assignment(s) or the like: 18/58 \nCapacity limits: 30 \nCourse fee: VLAG and PhD students at Danish universities DKK 1000\, other PhD students and post docs DKK 1500\, professionals and non-academics DKK 2500. \n  \nCompulsory programme: \nPrepare for the course by reading the literature handed out prior to the course \nPrepare a one-slide presentation of yourself and send in prior to the course \nPrepare a poster of your project or work and send in prior to the course \nPresent your poster at the course and discuss your project or work in the context of the course content\, with special emphasis on potential application of methodologies covered by the course \nParticipate in the 2 d program (own presentations +lectures + group work). \n  \nCourse contents: \nPresentation of yourself\, presentation\, and discussion of your PhD project/own work. Lectures. Presentations and group work/discussions on theoretical assignments (incl. e.g. discussion of different models of casein micelles\, interpretation of analytical data and outputs\, discussions of original research papers relating to methodologies and milk protein biochemistry\, questions related to impact of processing on milk protein biochemistry\, use of bioinformatics). \n  \nPrerequisites: \nPhD student (or ask course responsible if questions) or professional (with at least MSc) in industry (Masterclass) working within the area. \nThe course is aimed at research professionals (PhD level)\, who already have basic knowledge about protein (bio)chemistry and want to increase their specific knowledge about dairy proteins from a physico-chemical\, analytical\, and nutritional perspective. Participants should have a background in food/nutritional science\, biology\, chemistry or other life sciences. \n  \nName of lecturers: \nProfessor Lotte Bach Larsen\, Department of Food Science\, AU \nAssociate professor Nina Aagaard Poulsen\, Department of Food Science\, AU \nAssociate professor Kasper Hettinga\, Food Quality and Design\, WUR \nAssistant professor Etske Bijl\, Food Quality and Design\, WUR \n  \nType of course/teaching methods: \nOwn presentations\, lectures\, group work \n  \nLiterature: \nOriginal scientific literature\, reviews and book chapters will be handed out to the students in advance of the course. \n  \nCourse homepage: \nhttps://events.au.dk/dairyproteinphd \nBrightspace will be established for course participants. \n  \nCourse assessment: \nParticipation in the program and in the group work. A course certificate will be provided based on the participation. \n  \nSpecial comments on this course: \nThe PhD course/Masterclass is a joint course between AU and WUR. The aim is to hold it every 1-2 years\, alternating between WUR and AU. The course was held for the first time at WUR in the summer of 2018. \n  \nTime: \n10-11 June 2024 \n  \nPlace: \nAarhus\, Denmark \n  \nCourse fee: \nVLAG and PhD students at Danish universities DKK 1000\, other PhD students and post docs DKK 1500\, professionals and non-academics DKK 2500. \n  \nRegistration: \nDeadline for registration is 10 May 2024. Information regarding admission will be sent out no later than 24 May 2024. \nPlease register as early as possible via https://events.au.dk/dairyproteinphd \n\n If you have any questions\, please contact Lotte Bach Larsen\, lbl@food.au.dk or Nina Aagaard Poulsen\, nina.poulsen@food.au.dk. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/dairy-protein-biochemistry-and-proteomics-2024/
LOCATION:Aarhus
CATEGORIES:PhD Course
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