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UID:calendarize-ai-for-doctoral-researchers-hands-on-workshop
DTSTAMP:20251002T113116Z
DTSTART:20251120T090000Z
DTEND:20251120T160000Z
SUMMARY:AI for Doctoral Researchers – Hands-on Workshop
DESCRIPTION:As part of the InterGrad-EGD qualification program\, this work
 shop (in English) provides PhD candidates with a comprehensive introductio
 n to Artificial Intelligence and Large Language Models (LLMs) in academic 
 research. Participants will develop a thorough understanding of current AI
  tools and explore practical applications including literature search\, te
 xt analysis\, and thesis structuring. An optional session will guide parti
 cipants through establishing a local LLM environment using Docker.\nThe wo
 rkshop combines theoretical foundations with hands-on exercises and welcom
 es all doctoral researchers\, with enrollment priority for InterGrad-EGD p
 articipants. In-person attendance is limited\, while online participation 
 via Zoom is available to all participants.\nInstructors:\nProf. Dr.-Ing. S
 ebastian von Enzberg\, Professor of Artificial Intelligence and Computer E
 ngineering at Magdeburg-Stendal University of Applied Sciences\, specializ
 es in Applied AI\, Industrial Data Science\, and machine learning in indus
 trial contexts. He leads the ZAKKI project\, developing AI curricula and i
 nvestigating pedagogical approaches for AI education.\nM.Sc. David Thomas 
 Döring\, AI Analytics Lab researcher at the ZAKKI project\, brings expert
 ise in computer science to support interdisciplinary teaching in data scie
 nce\, programming\, and academic applications of large language models. Hi
 s research encompasses neural networks\, image analysis\, and transformer 
 architectures.\nContact and Registration: Dr. Ansgar Bredenfeld\, abredenf
 eld@hs-harz.de
X-ALT-DESC;FMTTYPE=text/html:<p>As part of the InterGrad-EGD qualification
  program\, this workshop (in English) provides PhD candidates with a compr
 ehensive introduction to Artificial Intelligence and Large Language Models
  (LLMs) in academic research. Participants will develop a thorough underst
 anding of current AI tools and explore practical applications including li
 terature search\, text analysis\, and thesis structuring. An optional sess
 ion will guide participants through establishing a local LLM environment u
 sing Docker.</p>\n<p>The workshop combines theoretical foundations with ha
 nds-on exercises and welcomes all doctoral researchers\, with enrollment p
 riority for InterGrad-EGD participants. In-person attendance is limited\, 
 while online participation via Zoom is available to all participants.</p>\
 n<p><strong>Instructors:</strong></p>\n<p><strong>Prof. Dr.-Ing. Sebastian
  von Enzberg</strong>\, Professor of Artificial Intelligence and Computer 
 Engineering at Magdeburg-Stendal University of Applied Sciences\, speciali
 zes in Applied AI\, Industrial Data Science\, and machine learning in indu
 strial contexts. He leads the ZAKKI project\, developing AI curricula and 
 investigating pedagogical approaches for AI education.</p>\n<p><strong>M.S
 c. David Thomas Döring</strong>\, AI Analytics Lab researcher at the ZAKK
 I project\, brings expertise in computer science to support interdisciplin
 ary teaching in data science\, programming\, and academic applications of 
 large language models. His research encompasses neural networks\, image an
 alysis\, and transformer architectures.</p>\n<p><strong>Contact and Regist
 ration: </strong>Dr. Ansgar Bredenfeld\, <a href="mailto:abredenfeld@hs-ha
 rz.de">abredenfeld@hs-harz.de</a></p>
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