TECHNOLOGY-06 · Undergraduate · ENGLISH · PLANNED
Follow a real task through a system, then design and troubleshoot it.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Technology | Databases and Information Systems
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Sign in to save this learning pathPractical outcome: Design a library database with consistent borrowing records.
Explain entities using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Explain attributes using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Explain relationships using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Explain primary keys using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Use the first concepts from this section. Design a library database with consistent borrowing records. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain foreign keys using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Explain normalisation using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Explain constraints using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Explain schema migrations using a visual and one worked real-world example. Context: Design a library database with consistent borrowing records. End with a prediction or check-for-understanding.
Design a library database with consistent borrowing records. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Entities, Attributes, Relationships and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Answer inventory questions with a small synthetic dataset.
Explain select and where using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Explain sorting using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Explain aggregation using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Explain group by using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Use the first concepts from this section. Answer inventory questions with a small synthetic dataset. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain joins using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Explain subqueries using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Explain window functions using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Explain query plans using a visual and one worked real-world example. Context: Answer inventory questions with a small synthetic dataset. End with a prediction or check-for-understanding.
Answer inventory questions with a small synthetic dataset. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering SELECT and WHERE, Sorting, Aggregation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Explain how a transfer remains consistent during a failure.
Explain transactions using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain acid properties using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain isolation using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain indexes using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Use the first concepts from this section. Explain how a transfer remains consistent during a failure. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain backups using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain replication using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain document databases using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain key-value stores using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain data warehouses using a visual and one worked real-world example. Context: Explain how a transfer remains consistent during a failure. End with a prediction or check-for-understanding.
Explain how a transfer remains consistent during a failure. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Transactions, ACID properties, Isolation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Explain how a transfer remains consistent during a failure. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Databases and Information Systems, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
System diagrams, design reviews and bounded prototypes. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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