Project in Intelligent Systems

• Identify and discuss situation awareness, decision, and control tasks in an intelligent systems problem.
• Apply machine learning methods to data modeling problems in intelligent systems and evaluate their effectiveness.
• Work with a large data set, perform data exploration and feature extraction to derive knowledge from data in a real-world automation problem.
• Explain structured knowledge representation techniques and related modeling principles, and select suitable knowledge representations for integration in an intelligent systems solution.
• Describe suitable uses of logic-based and declarative methods applied to the solution of decision making problems in intelligent systems.
• Explain and select appropriate methods as well as the corresponding data models and knowledge representations as part of a design problem.
• Analyse an intelligent systems design problem, communicate the design idea, formulate specifications and test requirements.
• Design, implement and evaluate an operational prototype of an intelligent system using data-driven and declarative programming techniques applied to a distributed systems problem.

Introduction to intelligent systems problems, task analysis, systems development approaches & architecture elements; applications of intelligent systems in automation, Internet of Things (IoT) and Smart Grid / Energy problems.
Distributed systems basics: concurrency, communication, and debugging.
Structured knowledge representation (e.g. ontologies) and applications to declarative and logic-based programming methods (e.g. rule-based logic, graph-search, … ).
Handling large data sets; data visualization; applied statistical learning methods. Quality of data-driven models.

34666, The course is based on the project description that was an assignment in course 34366.

Project work – individually or in groups

The course is also offered in the June 3-week period as course 34372.

It is recommended to consider programming prerequisites of this course, and to contact the course responsible if in doubt.

Minimum: 6.

Please be aware that this course will only be held if the required minimum number of participants is met. You will be informed 8 days before the start of the course, whether the course will be held.