System-modeling

A Miau Wiki wikiből
A lap korábbi változatát látod, amilyen Pitlik (vitalap | szerkesztései) 2023. február 12., 09:48-kor történt szerkesztése után volt. (→‎Annexes)

Recommended learning materials for autodidactic learning

International literature

MIAU-objects

Avatar-based learning materials

FAQ concerning the course

  • Q8: Is it possible to work in team?
  • A8: YES! (But the thesis should always be a unique product of one single author.)
  • Q9: Is this course really lecture-less?
  • A9: Yes, we have to cooperate concerning real problems. The theoretical aspects will be integrated into the creation-processes.
  • Q10: What is the MOTTO of the BPROF-education?
  • A10: Learning by doing!
  • Q11: What is the most important keyword of the BPROF-education?
  • A11: Sovereignty = willingness for problem solving mostly alone and based on all sources but at first always through own interpretations
  • Q12: Is it possible to close a course sooner, than the official end of a semester?
  • A12: Yes!
  • Q13: ...
  • A13: ...

Personalized tasks/wiki-articles with system modeling challenges

Online dietetic expert (ODE)

Background information: https://miau.my-x.hu/mediawiki/index.php/BPROF_Thesis1
  • How to model anti-discrimination? (Which cheese is better than the other one concerning dietetic benchmarks/expectations/recommendations?)
    • Demo: XLSX based on random data (asap)
      • Version#1: OAM with raw data (ingredients %) = prima primissima award for cheese-variations (c.f. cheese of the year)
      • Version#2: OAM with differences compared to the expectations coming from the dietetic expert
  • How to model price/performance ratios? (Which product is worth consuming?)
    • Demo: XLSX based on random data (asap)
      • Version#1: OAM with raw data (ingredients %) = prima primissima award for cheese-variations concerning economic aspects (c.f. cheese of the year) / Y = price
      • Version#2: OAM with differences compared to the expectations coming from the dietetic expert / Y = price
  • How to optimize/model animal/human feed/food ratios? (Which mixture best covers the expectations?)
    • Demo: XLSX based on random data (asap)
  • How to derive the top 'n' attribute with the highest impact e.g., for product price? (this challenge is part of the general problem about the price/performance-ratios)
    • Demo: XLSX based on random data (asap)
      • Version#1: OAM with raw data (ingredients %) = prima primissima award for cheese-variations concerning economic aspects (c.f. cheese of the year) / Y = price
      • Version#2: OAM with differences compared to the expectations coming from the dietetic expert / Y = price
  • ...
    • Demo: ...

A bad (benchmarking) example and a better (good?) example for clarification of model-structures

  • description of an innovative chat-bot-development in a massive journalistic way: https://miau.my-x.hu/miau/295/gpt_demo.docx
    • Conclusions:
      • it seems to be trivial, which inputs (given tokens) lead to what kind of outputs (expected token(s))
      • it is here and now still not given: what is the process between inputs and outputs
  • description of a service having a payment policy and demo-views: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*chat-bot
    • KNUTH-principle: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*knuth
      • if somebody says, I do understand something, it is necessary to be capable producing a demo e.g. at least with random data or based on flow-charts, formulas, etc.
    • Conclusions:
      • it does not seem to be trivial, which inputs (e.g., sentences of employees?) lead to what kind of outputs (expected answers/reaction? - but about what kind of content? why?)
      • it is here and now also still not given: what is the process between inputs and outputs
    • KNUTH-principle: https://miau.my-x.hu/miau2009/index_tki.php3?_filterText0=*knuth
      • if somebody says, I do understand something, it is necessary to be capable producing a demo e.g. at least with random data or based on flow-charts, formulas, etc.

Expert system for fine-tuning IT-security systems (ES-FITS)

Necessity of a middle-ware for banks (NMB)

Automation of Incident Response Planning in IT Security (AIR-P-ITS)

ADAPTATION CHALLENGE: https://miau.my-x.hu/bprof/2023/adaptation_challenge.docx
Adapted solution v1: https://miau.my-x.hu/bprof/2023/company_ideality_index.xlsx
Expertise (with formula=model): https://miau.my-x.hu/bprof/2023/company_ideality_index_formula.xlsx

NCM-project & Symmetry-project

Hydrogen-project

Robot-eye for kicker-talent-identification (REFKI)

Robot-citizen

...

  • ...

Integration of Google Trends time-series in different ways for self-check-mechanisms

  • https://miau.my-x.hu/miau/297/google_trends_data_integration_variations.xlsx
    • there is no transformation needed if the dominant object (SK) is the anchor for each CSV
    • if the anchor is not the dominant object (c.f. HU), then the necessary transformation may to lead to the same results
  • self-check-layers:
    • the dominant object have to have always the same data independent from the parallel available objects in the queries
    • the non-dominant-object-based calculation have to lead to the same results as in case of the dominant object (without transformation needs)
      • (where the sameness as such must be interpreted as a kind of approximation with potential +/-1 unit difference because of integer values of the CSV-files)
  • https://miau.my-x.hu/miau/287/tutorial_google_trends_5plus.xlsx
    • programming concepts
Remarks: system models can be defined in different complexity levels (c.f. optimized estimation of risk-potentials based on raw data vs. checking/preparation of raw data)

...

  • ...

Other courses

Annexes

Structure of MIAU-WIKI:

Useful WIKI-articles in general:

Parallel articles in MIAU-WIKI:

Recommended literature: 

Evaluation of projects: https://miau.my-x.hu/bprof/2023/lectureless_education_evaluation_sheet.xlsx

Advanced levels

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