Content, progress and pedagogy of the module

Machine intelligence refers to advanced computing technologies that enable a machine or system to interact with the environments or solve complex problems in an intelligent way with no need for a predefined set of rules.  Such systems rely on machine learning and artificial intelligence methods among others.

The project module aims to extend the knowledge and skills of students for applying the related technologies and methods to real-world problems.

Learning objectives

Knowledge

Students must have knowledge about

• Machine learning and its application to real-world problems and systems
• Discrete time stochastic linear dynamic systems
• Various machine intelligence techniques used in selected engineering disciplines and applications

Skills

• Must be able to analyze a given engineering problem and identify suitable methods to solve the problem
• Must be able to design and implement algorithms for a given problem  
• Must be able to characterize the performance of machine intelligence systems

Competences

• Must have competences in discussing scientific topics within machine intelligence
• Must have competences in developing machine learning solutions for selected engineering problems
• Must have competences in analyzing and designing solutions to problems involving stochastic signals and systems 

Type of instruction

As described in §17

Exam

Exams