Analysis, visualization and optimization of programming
General data
Course ID: | 1000-2D11WSI |
Erasmus code / ISCED: |
11.304
|
Course title: | Analysis, visualization and optimization of programming |
Name in Polish: | Analiza, wizualizacja i optymalizacja oprogramowania |
Organizational unit: | Faculty of Mathematics, Informatics, and Mechanics |
Course groups: |
Master seminars for Computer Science |
Course homepage: | http://sova.mimuw.edu.pl |
ECTS credit allocation (and other scores): |
(not available)
|
Language: | English |
Type of course: | Master's seminars |
Prerequisites (description): | Achieved at a very good level learning objectives set for subjects: Individual Programming Project, Software Engineering, Collegiate Programming Project, Managing software projects |
Short description: |
We consider different trends and paradigms in respect to development of large IT systems and we develop large software projects that demonstrate practical implementation of those aspects. Currently the main project being developed is a new semi-structural DBMS implemented both in C++ (LoXiM) and in Java (jLoXiM). |
Full description: |
We consider different trends and paradigms in respect to development of large IT systems and we develop large software projects that demonstrate practical implementation of those aspects. In particular during a long-term project a new semi-structural DBMS has been implemented in C++ (LoXiM) and in Java (jLoXiM). Both implementations require further development and testing. Possible applications for both solutions are being investigated and further development direction is being influenced by current research trends. We are also interested in a method to develop IT systems where development process is controlled by conducting implementation in specialized languages (Language Oriented Programming). Usually such langueges are of higher level in comparison to C/C++/C# or Java. In particular languages that focus on certain domain / class of problems become naturally interesting (Domain Specific Languages). Seminar results in a number of research and scientific achievments that become foundation for publications and MSc / PhD dissertations. |
Bibliography: |
Modern scientific literature of the subject, including scientific journals and data from Internet. Details are provided by the lecturers at the first meeting. |
Learning outcomes: |
1. Knows issues, techniques, and tools related to development of IT systems 2. Has an in-depth knowledge in the field of software engineering and software project management 3. Has a profound ability to prepare speeches and presentations 4. Is able to present information on selected issues in an way understandable to a layman 5. Can prepare a presentation using computer tools 6. Can prepare a study (publication) of selected areas of science 7. Can decide on how to implement learning and self-study process 8. Understands the need for regular work on any projects that are long-term in nature |
Assessment methods and assessment criteria: |
Active participation in the seminar, conducting a seminar presentation, submission of master thesis, thesis assessment by the supervisor and reviewer |
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