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IUI in other semesters:
WS2526 WS2425 WS2324 WS2223 WS2122 WS2021 WS1920 WS1819
Home > Teaching > WS 2025/2026 > IUI

Lecture Introduction to Intelligent User Interfaces

LSF
Responsible Professor:
Prof. Florian Alt
Supervisors:
Jesse Grootjen, Thomas Weber
Contact
iui ät medien.ifi.lmu.de
Hours per week:
2 SWS Lecture, 2 SWS Tutorial
ECTS
6
  • Syllabus
  • Dates and Locations
    • Lecture
    • Tutorial
  • Lectures - Tentative Schedule
  • Exercises
  • Recommended Prior Knowledge
  • Registration


Syllabus

The module Intelligent User Interfaces (IUI) looks at current topics within the intersection of human computer interaction and machine learning. The course focuses on the adaptation of techniques originating from machine learning and artificial intelligence for practical applications within the research area of human computer interaction. Topics include (tentative):

  • Voice User Interfaces
  • Natural Language Processing
  • Recommender Systems
  • Explainability of Intelligent Systems
  • Physiologically-Based Interfaces

Students are expected to create their own intelligent system (in groups of four) over the course of the semester and present intermediate milestones throughout the tutorials. These include short concept presentations: explain how a new aspect as presented in the lecture integrates into your system; and milestone presentations a week later that showcase the implementation. This cycle repeats bi-weekly. Tutorials will also be used to introduce lecture topics in the form of hands-on exercises.



Dates and Locations

The dates listed below are preliminary and may change.

Lecture

Date:
Tuesday, 10-12 c.t.
Location:
Pettenkoferstr. 14 - Kl. HS Physiologie (F1.08)
First session:
14.10.2025

Tutorial

Date:
Thursday, 12:00-2:00 PM c.t.
Location:
Pettenkoferstr. 14 - Kl. HS Physiologie (F1.08)
First session:
23.10.2025

Lectures - Tentative Schedule

All lectures will be in-persons. If recordings exist from prior years, they will not be played back in the session and have not to be watch upfront. Sessions will not be recorded.

Date Topic Location
14.10.2025 Introduction to Intelligent User Interfaces
21.10.2025 Introduction to Machine Learning Fundamentals
28.10.2025 Recommender Systems
04.11.2025 Intelligent Text Entry
11.11.2025 Text and Natural Language Processing I
18.11.2025 Text and Natural Language Processing II
25.11.2025 Context Awareness Interaction in Smart Environments
02.12.2025 Adaptive User Interfaces
09.12.2025 Security and Privacy in the context of Intelligent User Interfaces Pettenkoferstr 14, Room F102
16.12.2025 Human-Centered Privacy in Intelligent Environments by Maximiliane Windl
13.01.2026 Explainable AI, Bias and Ethics by Sarah Völkel
20.01.2026 Software Development in the Age of LLMs
27.01.2026 Human-Robot Interaction
03.02.2026 Discussion of Future Directions, QA



Exercises

Tutorial sessions will be in in-person only.

The exercises include different formats: (1) Live coding sessions in which the lecture content is applied in practice, (2) Project pitches in which students present the current status of their project and receive feedback.

Please note that the following exercise syllabus is tentative and subject to change over the course of the semester.

2
Date Topic
23.10.25 Organization, Live Coding Session: Introduction to Python and ML
30.10.25 Live Coding Session (ML Intro) + Q&A
05.11.25 Natural Language Understanding
13.11.25 Using ChatGPT
20.11.25 ChatGPT API
27.11.25 Recommender Systems
11.12.25 by Oliver Hein
15.01.26 Human-Robot Interaction
22.01.26 Adaptive Keyboard
29.01.26 Explainable AI
05.02.26 Q&A: Exam preparation

Recommended Prior Knowledge

  • Human Computer Interaction
  • Machine Learning, e.g. Pratical Machine Learning




Registration

Please register for the course via LSF.

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