Learning Analytics is an interdisciplinary field involving competencies from computer science, cognitive psychology, and pedagogy. It leverages various computer science methods. These include statistics, big data, machine learning, data/text mining, information visualization, visual analytics, and recommender systems.  

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder

The focus of this course is on emerging Web technologies. These include extensions of Web standards, Web toolkits, and development environments, current backend Web frameworks (e.g., Node.js/Express.js, MongoDB), frontend Web frameworks (e.g., React.js, Material UI, Angular), and a combination of Web technologies (e.g., MERN/MEAN Stack). 

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder

The World Wide Web and its underlying technologies are increasingly gaining importance for the development of interactive Web applications. This course introduces concepts, principles, and methods in current client and server-side Web technologies. 

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti

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 data.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder

Learning Analytics is an interdisciplinary field involving competencies from computer science, cognitive psychology, and pedagogy. It leverages various computer science methods. These include statistics, big data, machine learning, data/text mining, information visualization, visual analytics, and recommender systems.  

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Clara Siepmann

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 data.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder

The World Wide Web and its underlying technologies are increasingly gaining importance for the development of interactive Web applications. This course introduces concepts, principles, and methods in current client and server-side Web technologies. 

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti

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 data.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Clara Siepmann

Learning Analytics is an interdisciplinary field involving competencies from computer science, cognitive psychology, and pedagogy. It leverages various computer science methods. These include statistics, big data, machine learning, data/text mining, information visualization, visual analytics, and recommender systems.  

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti

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 data.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder

The World Wide Web and its underlying technologies are increasingly gaining importance for the development of interactive Web applications. This course introduces concepts, principles, and methods in current client and server-side Web technologies. 

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti

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 data.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder

Learning Analytics is an interdisciplinary field involving competencies from computer science, cognitive psychology, and pedagogy. It leverages various computer science methods. These include statistics, big data, machine learning, data/text mining, information visualization, visual analytics, and recommender systems.  

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti

Mensch-Computer Interaktion (Human-Computer Interaction), introduces basic concepts and models of human-computer interaction as well as a usability engineering process that describes the user-centric approach to designing interactive systems.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Qurat Ul Ain
M.Sc. Shoeb Joarder

The World Wide Web and its underlying technologies are increasingly gaining importance for the development of interactive Web applications. This course introduces concepts, principles, and methods in current client and server-side Web technologies. 

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti

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 data.

Lecturer/Supervisor(s)
Prof. Dr. Mohamed Amine Chatti
M.Sc. Shoeb Joarder