Module 6: Intelligent Interaction Design

Components

• Statistical Techniques
• Artificial Intelligence
• Human Computer Interaction

Goals

• Statistical Techniques Goals
  • being able to formulate a research question and use the appropriate statistical methiod to draw conclusions from data.
  • Being able to apply a variety of statistical techniques.
• AI
  • being able to explain the main AI techniques concerning logical reasoning, search, bayesian networks and machine learning.
  • being able to compare different types of AI techniques.
  • know the historical development of the AI field.
• HCI
  • being able to design, develop and evaluate low fidelity and high fidelity prototypes of an intelligent interactive systtem that is well justified in terms of context.
  • being able to take users into account in the analysis, design and evaluation of interactive systems with respect to both usability and user experience.
  • being able to reflect on the relationship between scientific research and design.

Project

• Project is for Human Computer Interaction.
• User Centered Design (UCD), development and evaluation of an interactive system for users.

Grading

unit	study load
AI theory	3 EC
AI assignments	3 EC
HCI theory	2 EC
HCI project	4 EC
Stats	3 EC