| 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.. |
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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. |
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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 |