Topic outline

  • Computational Interaction, oxford university press 2018

    ELEC-E7851 Computational User Interface Design (5 cr, Period II)

    Computational interaction focuses on the use of algorithms and mathematical models to explain and enhance human-computer interaction. While there are numerous approaches to computational interaction, they all share a commitment to computational models of interaction. These models can drive design, adaptation, and support human decision-making. The study of computational interaction draws from artificial intelligence and machine learning, computational statistics, information theory, design optimization, cognitive science, formal methods, and control theory. 

    Learning Objectives

    The course offers a solid introduction to students who seek principled and yet actionable understanding of algorithmic HCI. The course introduces computational principles and core models of interaction for students with computational and engineering background. Students learn to formulate design and interaction problems and derive solutions by analysis, simulation, and optimization.  Application areas cover the most widely used interfaces.

    New in 2020

    In 2020, we will have more data-driven approaches.  


    Prof. Antti Oulasvirta and guest lecturers

    Teaching assistant: Asutosh Hota


    Lectures; Assignments solved with Python;Assigned readings; Exam


    Mandatory programming language: Python. Assignments require familiarity with general concepts of computer science and mathematics, especially probability and linear algebra. We also recommend (but do not require) a previous course on HCI, such as CS-C3210 Human-Computer Interaction or ELEC-E7890 User Research or ELEC-D7010 Engineering for Humans.  


    All Master's and PhD level students at Aalto University who fulfil the minimum requirements are welcome. Students of the University of Helsinki are welcome join the course but are asked to contact the teacher in advance for the JOO contract.