DIP320 Adaptive Data Processing Systems

Code DIP320
Name Adaptive Data Processing Systems
Status Compulsory/Courses of Limited Choice
Level and type Undergraduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Artūrs Bartusevičs, Aleksejs Jurenoks
Credit points 2.0 (3.0 ECTS)
Parts 1
Annotation Basic Principles of ADPS Design. Application of Business System Planning Method and LIS Technology. Adaptive user dialogue design on the .
basis of mathematical and linguistic models. Different examples of Adaptive Data Processing Systems are considered: Financial, Banks, Insurance Information Systems..
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 ADPS development. To present basic principles of ADPS development. To form basic skills in development of ADPS demonstration prototypes based on formalisation of business logics, adaptive user interface design and advanced programming technologies, such as adaptive web navigation.
Learning outcomes
and assessment
Be able to formulate basic principles of ADPS development, to discuss advantages of application of different mathematical models - Successfully passed examination (written form).
Be able to develop independently business processes models using BSP method and LIS Technology - Successfully executed practical assignments.
Be able to use practically mathematical and business models for ADPS development - Successfully executed practical assignments.
Be able to develop demonstration prototype of ADPS using modern technologies, for instance, adaptive web navigation - Successfully developed and presented demonstration prototype.
Course prerequisites Programming Languages (C++, Delphi, PHP others), Data Bases and Structures, Graph Models

[Extended course information PDF]