Semester: Summer Semester 2022

Lecture language: English

Exam language: English

Exam type: Prototype, Presentation

Maximum number of participants: 15

Notice

The course will start on April 4, 2022 and will take place in a Blended Learning format (online + in-person). More information will be provided in the Moodle courseroom for the registered students. Registration is possible until March 15 March 28, 2022 (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 aim of this semester's IDEA lab is to provide the foundation for an Exploratory Learning Analytics Toolkit for Students (ELAS) to support UDE students in their learning activities. In the previous iterations of the Learning Analytics (LA), Advanced Web Technologies (AWT), and Learning Analytics and Visual Analytics (LAVA) courses offered at the SoCo Group, different LA applications were developed as part of student projects (see the student projects section below). The task in this semester’s IDEA lab will be to improve, adapt, and integrate selected applications into the ELAS platform.

You will organize yourselves into groups of 4-5 students. In the first few weeks of the lab, we will provide a general overview of the ELAS platform, introduce the Web technologies used in ELAS (e.g. React, Flask, Axios, MongoDB, visualization libraries), and give tutorials on how to get started with the project. There will be weekly project management meetings to answer your questions and guide you with additional materials. We will also have regular sessions where you will present the progress of your projects (ideas/concepts, prototypes, demos, end product).

Grading for this lab will be based on the content and quality of the project (code, demos, presentations) as well as your performance (project management, collaboration, class participation, creativity) during the project.

Target audience

• Bachelor Applied Computer Science
• Bachelor Komedia

Date and location

• Mon, 16:00 - 18:00
• Online / LB 113
• Starts on April 4 April 11, 2022

Prerequisites

• Basic knowledge and interest in developing Web applications using state-of-the-art Web frameworks
• Interest in data science
• High motivation and commitment
• Good teamwork skills

Registration

We have 8 places for Bachelor Komedia and 7 places for Bachelor AI (first come, first serve). Komedia students should register via the central registration system. Bachelor AI students should register by sending an email to Mr. Shoeb Joarder by March 15 March 28, 2022 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.

Organization

• Course material in Moodle
• Course catalog (LSF)

Student Projects

• Learning Analytics lecture course (WS 19/20, WS 18/19)
• Advanced Web Technologies lecture course (SS21, SS20, SS19, SS18)
• IDEA lab course (SS21)
• LAVA lab course (SS20, WS19/20, SS19)

Lecturers

Prof. Dr. Mohamed Chatti (Lecturer)

M. Sc. Shoeb Joarder (Teaching Assistant)