Machine Intelligence: Concepts and Applications

Intended Audience:

Master WI

Master Ufü

Master Economics

Master Applied Computer Science

Offer to all M.Sc./PhD



Language:

English



Cycle:

Every Summer Term



Requirements:

None
Pre-registration required



UniVZ:

801478



Workload:

Lecture(7 Block Courses), Final Project Report

Schedule Summer Term 2025

Please check this website regularly for updates/changes.

Lectures

• 
  
  24.03.2025, 8:00 -
  13.04.2025 23:59
  
  
  Pre-registration via Stud.IP
  
  
  First-come-first-served
  
  


• 
  
  25.04.2025
  9:00 - 13:00
  
  
  Lecture 1
  
  
              online
  
  


• 
  
  09.05.2025
  9:00 - 13:00
  
  
  Lecture 2
  
  
              online
  
  


• 
  
  23.05.2025
  9:00 - 13:00
  
  
  Lecture 3
  
  
              online
  
  


• 
  
  06.06.2025
  9:00 - 13:00
  
  
  Lecture 4
  
  
              online
  
  


• 
  
  20.06.2025
  9:00 - 13:00
  
  
  Lecture 5
  
  
              online
  
  


• 
  
  04.07.2025
  9:00 - 13:00
  
  
  Lecture 6
  
  
              online
  
  


• 
  
  18.07.2025
  9:00 - 13:00
  
  
  Lecture 7
  
  
              online
  
  


• 
  
  31.08.2025
  
  
  
  Final: Project report (group work)
  
  
              Online submission
  
  

read more

Examination:

The examination format is a project report (group work).

6 ECTS





Course Description:

The course will introduce the context of computational algorithms in broader areas of Machine Learning, Data Mining, Signal Processing, and Image Processing. The course would remain focused on the study of machine learning and fuzzy computing algorithms with practical applications to Computer Vision, eHealth & mHealth, and Water Distribution Systems. At the end of the course, the participants should be capable of applying intelligent computing algorithms to address the challenging issue of “uncertainties” in the real-world problems related to data modeling and analysis.




Contents:

• Artificial Intelligence and Machine Learning


• Stochastic Approach to Modeling


• Fuzzy Approach to Modeling


• Image Matching Applications


• Biomedical Signal Processing Applications in eHealth and mHealth


• Big Data Analysis Applications in Water Distribution System Modeling


• Privacy-Preserving Machine Learning

Important info!

In the summer term 2025, the course will be taught online via BigBlueButton. The BigBlueButton links can be found in the "Meetings" section of the Stud.IP course. The lectures will not be recorded.


The number of participants is limited to 30, and prior pre-registration via Stud.IP is required. The pre-registration process is first-come-first-served. Please only pre-register if you intend to participate in the course.