ITKP1000 Attending Expert Lectures

Basic information

  • Teacher: Annemari Auvinen (annemari.k.auvinen@jyu.fi)
  • Credits: 2 cr
  • Grading scale: Pass-Fail
  • Description: Student takes part in ten (10) events concerning information technology and writes a report about them. Suitable events are public defenses of doctoral dissertations, visiting lectures, inaugural lectures or sample lectures about IT / of IT Faculty, for example. Two (2) of events needs to be public defenses of doctoral dissertations.
  • Learning outcomes: The aim is that students will learn to take part in the current events of the scientific community from early on in their studies and will learn to keep track of the scientific discourse in their own field.

Upcoming events

  • Demo seminars in every Wednesday (below known exceptions) at klo 10.15-12 on Perspectives to Decision support and multiobjective optimization. Zoom
  • Prof. Dr.-Ing. Stefan Kurz will give a guest lecture on Hybrid Modeling: Newton + Kepler = Success on Tuesday 10.6.2025 at 12-13 in Ag Alfa
  • Guest lecture Wednesday 11.6. 09:15-10:00 AgC132.1 (on-site only) Associate professor Antti Airola, University of Turku: Validating machine learning methods beyond standard assumptions
  • doctoral dissertation: 11.6.2025 M.Sc. Xinyu Hao (Faculty of Information Technology, computer science and engineering): “Multimodal Medical Data Analysis for Improved Disease Diagnosis and Treatment Outcome Prediction” More information
  • Guest lecture 13.6. 09:15-10:00 AgC231.1 Adj. Prof. Ph.D. Research Group Manager, Jouni Peltoniemi, Geodesy and Geodynamics, FGI: Space debris spectroscopy, protecting vital assets in space
  • doctoral dissertation: 13.6.2025 M.Sc. Lina Sun (Faculty of Information Technology, Cognitive science): “From Neural Dynamics to Gaze Patterns: Mapping the Neurocognitive Mechanisms of Literary Metaphor Processing” . More information
  • doctoral dissertation: 18.6.2025 M.Sc. Pyry Kotilainen (Faculty of Information Technology, computer science and engineering): “Orchestrating Isomorphic IoT Systems” More information.

Recordings of past events

Reporting

One learning diary/report to cover all ten events. The learning diary is an experiential learning and evaluation method. The purpose is to help the student to gain personal perspective on the issues learned. The extent of the report is at least 1 page per event (font size 12, normal line spacing and marginals).

The learning diary should address at least the following:

  • Who gave the presentation? What was the time and place of the presentation/event? Is the presentation part of an event or a lecture series (what event/series)? What was the topic? What was the main message? This part is max. half of the report/lecture.
  • What was new to me?
  • What did I learn?
  • Was my understanding of the issue changed?
  • What questions were addressed to the presenter?
  • What remained unclear?
  • What kind of thoughts did the presentation raise in me?
  • Did I miss something?
  • What should I ask or find more about?

Returning the report

Return the report to the teacher by email in pdf format. Remember to register to the course in Sisu.

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