Enterprise Computing flashcards

What this deck covers

• Data Science (53 cards, 13 dot points)

  • Autofill, public and private connections, checkboxes and terms of agreement: HSC Enterprise Computing Data Science (4)
  • Big data, data warehousing, data mining and data scale: HSC Enterprise Computing Data Science (4)
  • Data protection law, regulators and Indigenous data sovereignty: HSC Enterprise Computing Data Science (5)
  • Data sampling, active and passive collection, and data quality: HSC Enterprise Computing Data Science (5)
  • Evaluating local, cloud, portable and data warehouse storage: HSC Enterprise Computing Data Science (2)
  • Flat-file and relational databases, data dictionaries and SQL: HSC Enterprise Computing Data Science (4)
  • How blockchain manages and verifies data: HSC Enterprise Computing Data Science (5)
  • How curated and communicated data shapes behaviour: HSC Enterprise Computing Data Science (5)
  • Informatics, structured and unstructured data, and alternative data: HSC Enterprise Computing Data Science (5)
  • Machine learning and statistical modelling in data analytics: HSC Enterprise Computing Data Science (2)
  • Quantitative vs qualitative data and the four levels of measurement: HSC Enterprise Computing Data Science (5)
  • Social, ethical and legal issues in using data: HSC Enterprise Computing Data Science (3)
  • Spreadsheet analysis, what-if modelling and dashboards: HSC Enterprise Computing Data Science (4)
• Data Visualisation (19 cards, 7 dot points)

  • Creating a data visualisation and keeping its data secure: HSC Enterprise Computing Data Visualisation (1)
  • Data integrity, data warehousing and big data in visualisation: HSC Enterprise Computing Data Visualisation (4)
  • Evaluating bias in data visualisations: HSC Enterprise Computing Data Visualisation (1)
  • Evaluating visualisation tools and interrogating a visualisation: HSC Enterprise Computing Data Visualisation (2)
  • How hardware and software changed data analytics, and OLAP: HSC Enterprise Computing Data Visualisation (5)
  • User experience (UX) in data visualisation: HSC Enterprise Computing Data Visualisation (4)
  • Why we visualise data, software features and finding patterns: HSC Enterprise Computing Data Visualisation (2)
• Enterprise Project (12 cards, 5 dot points)

  • Developing and testing an implementation plan: HSC Enterprise Computing Enterprise Project (1)
  • Gathering requirements and choosing a development approach: HSC Enterprise Computing Enterprise Project (3)
  • Managing and documenting an enterprise project, and how enterprise is changing: HSC Enterprise Computing Enterprise Project (3)
  • Planning tools, computational, design and systems thinking, and project criteria: HSC Enterprise Computing Enterprise Project (1)
  • Verifying, validating, evaluating and maintaining an enterprise system: HSC Enterprise Computing Enterprise Project (4)
• Intelligent Systems (24 cards, 9 dot points)

  • Decision support systems and structured, semi-structured and unstructured decisions: HSC Enterprise Computing Intelligent Systems (2)
  • Designing automated smart systems and assessing decision support output: HSC Enterprise Computing Intelligent Systems (2)
  • Disruptive effects, ethics and emerging AI in intelligent systems: HSC Enterprise Computing Intelligent Systems (2)
  • Expert systems, forward and backward chaining, and inference techniques: HSC Enterprise Computing Intelligent Systems (1)
  • From rule-based to probabilistic expert systems, IoT, IoMe, Industry 4.0 and intelligent agents: HSC Enterprise Computing Intelligent Systems (3)
  • Intelligent IoT networks, their data and how AI makes them efficient: HSC Enterprise Computing Intelligent Systems (3)
  • Intelligent system hardware, computational thinking and communicating system logic: HSC Enterprise Computing Intelligent Systems (2)
  • Simulation, data modelling, automation and surveillance: HSC Enterprise Computing Intelligent Systems (4)
  • Writing rules and facts, certainty factors and decision trees for an expert system: HSC Enterprise Computing Intelligent Systems (5)

Sample cards from this deck

1. Definition · Big data, data warehousing, data mining and data scale: HSC Enterprise Computing Data Science

   Define Big data

   Big data is data too large, varied or fast-moving for traditional tools to handle.

2. Definition · Data integrity, data warehousing and big data in visualisation: HSC Enterprise Computing Data Visualisation

   Define Data refinement/optimisation

   ETL removes duplicates and standardises codes and units; pre-aggregated summaries (OLAP) make dashboards fast and consistent across the organisation (one version of the truth).

3. Definition · Verifying, validating, evaluating and maintaining an enterprise system: HSC Enterprise Computing Enterprise Project

   Define Validation

   "Did we build the right system?" Does it meet the client's and users' real needs in their environment?

4. Definition · Writing rules and facts, certainty factors and decision trees for an expert system: HSC Enterprise Computing Intelligent Systems

   Define Rules

   Rules (production rules) encode expert knowledge: IF condition(s) THEN conclusion. Conditions can be combined with AND, OR and NOT.

5. Definition · How blockchain manages and verifies data: HSC Enterprise Computing Data Science

   Define Online identities

   Instead of every website holding your personal data, a trusted issuer (a university, a government agency) can record a verifiable credential. You prove a fact ("over 18", "holds a degree") without handing over every detail (self-sovereign identity).

6. Definition · How hardware and software changed data analytics, and OLAP: HSC Enterprise Computing Data Visualisation

   Define Dimensions

   Dimensions are the perspectives (time, product, location, customer type); measures are the numbers analysed (sales, units, profit).

7. Fill the gap · Managing and documenting an enterprise project, and how enterprise is changing: HSC Enterprise Computing Enterprise Project

   A ___ (or project log) records decisions, progress, problems and evaluations throughout, which is evidence for assessment and a record for future maintenance.

   A process diary (or project log) records decisions, progress, problems and evaluations throughout, which is evidence for assessment and a record for future maintenance.

8. Definition · Simulation, data modelling, automation and surveillance: HSC Enterprise Computing Intelligent Systems

   Define Closed circuit television (CCTV)

   AI video analytics detect movement, count people, read number plates and, with facial recognition, identify individuals.

9. Definition · How curated and communicated data shapes behaviour: HSC Enterprise Computing Data Science

   Define Data literacy

   The ability to read, question and use data. People with low data literacy are more easily influenced by misleading charts or selective statistics; people with high data literacy check sources, scales and sample sizes.

10. Definition · User experience (UX) in data visualisation: HSC Enterprise Computing Data Visualisation

    Define Augmented and virtual reality

    3D data exploration, overlaying data on real environments (maintenance data on machinery).