Lab Interactive Data Exploration and Analytics

Lab Course: Interactive Data Exploration and Analytics (IDEA) (SS 23)

Semester: Summer Semester 2023

Lab language: English/German

Exam language: English/German

Exam type: Prototype, Presentation

Maximum number of participants: 15


The course will start on April 3, 2023 and will take place in a Blended Learning format (online+in-person). More information will be provided in the Moodle classroom for the registered students. Registration is possible until March 30, 2023 (see the registration section below).

About this course

The Interactive Data Exploration and Analytics (IDEA) lab course offered at the UDE Social Computing Group focuses on the effective integration of techniques from human-computer interaction (HCI), information visualization, and machine learning to help users interactively explore and visualize data.

The title of this semester’s IDEA lab is “Transparent User Models for Self-Actualization in a Scientific Recommender System”. Transparent user models make the internal representation of the user explicit to the user. Self-actualization is a concept from psychology and means in the context of recommender systems to support users in developing, exploring, and understanding their own unique tastes and preferences.

In our transparent Recommendation and Interest Model Application (RIMA) we recommend papers to researchers based on their interests. To achieve self-actualization, we introduced a dashboard with five pages and visualizations. These have already been evaluated in a qualitative study. In this lab, we will focus on three of the five pages and improve them based on the evaluation results and the literature. You will work in groups of 4/5 students. Each group will work on one of the three target visualizations with the goal to find and implement potential improvements.

Target audience

  • Bachelor of Applied Computer Science
  • Bachelor Komedia

Date and location

  • Lecture/Hands-on sessions
    • Monday, 16:00 - 18:00
    • LB 113
    • Starts from April 3, 2023


  • Interest in data science, human-centered design, and visualizations
  • Basic coding skills
  • High motivation and commitment
  • Good teamwork skills


We have 10 places for Bachelor Komedia and 5 places for Bachelor AI (first come, first served). Komedia students should register via the central registration system. Bachelor AI students should register by sending an email to Clara Siepmann by March 30, 2023 with your matriculation number, study program, and, if available, your knowledge/experience in Web technologies and data science. If the maximum number of participants is reached, we will use a waiting list.


  • Course material in Moodle
  • Course catalog (LSF)


Prof. Dr. Mohamed Chatti (Lecturer)

M. Sc. Clara Siepmann  (Teaching Assistant)