DIP483 Development Methods of Applied Intelligent Software Systems

Code DIP483
Name Development Methods of Applied Intelligent Software Systems
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Aleksejs Jurenoks, Vjačeslavs Šitikovs
Credit points 4.0 (6.0 ECTS)
Parts 1
Annotation The following major issues are considered within the course: basic principles and methodology of IACS development; knowledge base modelling and creating; implementation of logical deduction algorithms; development of IACS demonstration prototypes based on Artificial Intelligence models and advanced IT solutions.
Goals and objectives
of the course in terms
of competences and skills
The main goal of the course is to strengthen competence in the field of IACS design and development. To present basic principles of knowledge base modelling and creating. To form basic skills in development of IACS prototypes based on Artificial Intelligence methods and Web solutions.
Learning outcomes
and assessment
Be able to formulate essential principles of IACS development, to discuss advantages of different knowledge models and realisation algorithms - Successfully passed examination (written form)
Be able to develop independently knowledge base models - Executed laboratory work
Be able to implement logical deduction algorithms (direct and reverse logical deduction, deduction based on probabilities) - Executed laboratory works
Be able to develop and present IACS demonstration prototype based on advanced IT solutions (Web technologies, etc.) - Developed and presented demonstration prototype
Course prerequisites Essential Principles of Artificial Intelligence, Programming Languages

[Extended course information PDF]