DSP504 Applied Intelligent Systems in Industry

Code DSP504
Name Applied Intelligent Systems in Industry
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Ilze Andersone
Credit points 2.0 (3.0 ECTS)
Parts 1
Annotation Applications of artifical intelligence - experience (expert systems, robotics, speech understanding, natural language processing, neural networks) and future trends. Intelligent agents. Knowledge acquisition paradigms. Knowledge representation and inferencing. Uncertain knowledge and reasoning. Learning. Knowledge encoding. Tools for expert system development. Integrated intelligent systems. Co-operating expert systems. Systems for knowledge-based design and diagnosis.Expert systems for configuringtechnical systems. Knowledge-based planning systems..
Goals and objectives
of the course in terms
of competences and skills
The subject's goal is to give an overview of the AI as a branch of modern sicence and its history, to esnure students abilities to analyze a given problem from positions of AI, analyze advantages and disadvantages of specific methods within the problem and apply methods to solve typical tasks.
Learning outcomes
and assessment
Is competent in AI basic terminology and history - Exam questions
Is competent in basic intelligent agents architectures and related terminology - Exam questions
Is able to express a specific problem in terms un AI - Exam questions, Practical assignment
Is able to analyze advantages and disadvantages of a given AI technique within a specific problem - Exam questions, Practical assignment
Is able to apply a given AI technique to solve a standard task - Exam questions, Practical assignment
Course prerequisites Engineering mathematics

[Extended course information PDF]