DIP501 Special Data Processing Technologies

Code DIP501
Name Special Data Processing Technologies
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Marina Uhanova, Aleksejs Jurenoks, Vjačeslavs Šitikovs
Credit points 4.0 (6.0 ECTS)
Parts 1
Annotation Theoretical aspects and practical aspects of data processing systems (DPS) development are described. The main attention is paid to distributed DPS design and development..
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 application of DPT based on the set of mathematical models. To formalise application domain, to form and analyse user information requirements. To advance skills in the development of DPS demonstrators based on mathematical models and in the application of special case tools for mathematical models processing
Learning outcomes
and assessment
Be able to formalise application domain and to develop user information requirements, to discuss advantages of the application of different mathematical models and to define basic stages of data processing system development - Successfully passed examination (written form)
Be able to apply independently graph models for data structures formalisation - Executed laboratory works
Be able to develop demonstration samples of mathematicaal models applications - Executed laboratory work
To execute practical work in accordance with general implementation plan (step by step) - Successfully executed practical assignment
Course prerequisites graph and set theory, programming languages, data structures

[Extended course information PDF]