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
  • Dissertation 21.11.2025 Xiangyu Rong (Faculty of Information Technology, Cognitive science): Creativity Across Languages and Cultures: A Multimodal Triangulation of Behavioral, Self-Report, and MEG Data More information
  • Dissertation 21.11.2025 M.Sc. Seyma Kocak (Faculty of Information Technology, Information Systems Science): Digital organizational culture and digital mindset in industrial craft enterprises More information
  • Guest lecture 25.11. 14:15-15:00 Docent Jarkko Suhonen, University of Eastern Finland: IMPDET doctoral studies - history and current situation Zoom
  • Dissertation 26.11.2025 M.Sc. Denis Zhidkikh (Faculty of Information Technology, Computing and Education): Self-Regulation and Student Success: Building a Data-Driven Approach to Understand Student Learning Behaviours in Computing Education More information
  • Dissertation 27.11.2025 M.Sc. (Econ.) Jenny Elo (Faculty of Information Technology, Information Systems Science): Toward continuous digital service innovation in organizations: conceptualization, organizing tensions, and multilevel enablers More information
  • Dissertation 28.11.2025 M.Sc. Yuan Qin (Faculty of Information Technology, Cognitive science): Electroencephalogram-Based Attention Detection: Integrating Event-Related Potentials and Machine Learning Methods More information
  • Public lecture 2.12.: Cognitive warfare in post covid Central Europe – doctrine, tools and tactics More information
  • Quest lecture 4.12.2025 16-17 Ag B121.1 Beeta, Harri Ketamo: AI in foresight: next generation of business intelligence
  • Dissertation 5.12.2025 M.Sc. Ayaz Karimov (Faculty of Information Technology, Computing and education): Game-based learning for social inclusion: From evidence synthesis to scalable classroom implementation More information
  • 9.-10.12.2025 JQUEST 2 : JYU Quantum Engineering, Software, and Technology workshop 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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