Data Storage and Processing

From the study guide

Course Outline

  1. Course Goals and Structure
  2. Algorithms and Problem Solving
  3. Abstraction and Black Boxes
  4. Bits and Boolean Circuits
  5. Working Memory and Capacity
  6. Mass Storage Technologies
  7. Representing Text and Media
  8. Binary Numbers and Precision
  9. Data Compression
  10. CPU and Computer Architecture
  11. Machine Language and Instructions
  12. Program Execution Cycle
  13. Peripheral Devices and Data Transfer

1. Course Goals and Structure

Key Concepts & Definitions

  • Information system: A sociotechnical system that collects, processes, and stores data and provides users with information.
  • Business informatics: The study of how information systems can support the management of organizations and the performance of their activities.

Essential Points

  • The course has a theory part during the first three teaching weeks and a programming part delivered in guided sessions using Python in Dodona.
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Practice quiz preview

1. Which description best defines an information system?

2. How is the course divided between its theory and programming components?

3. A designer gives a precise, executable sequence that accepts well-described input and produces an output for every problem of a particular type. What has the designer specified?

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Flashcard preview

What is an information system?

A sociotechnical system that collects, processes, and stores data and provides users with information.

What does an algorithm provide for a type of problem?

A general solution.

How must an algorithm’s instructions be expressed?

As an unambiguous sequence of executable instructions.

What does an algorithm transform into output?

Well-described input.

What makes an algorithm a program?

It is represented in a form a computer can execute.

What does abstraction show about a system?

Its external properties.

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Frequently asked questions

What does the Data Storage and Processing study guide cover?

It covers the core concepts of Data Storage and Processing, organized by topic with the key definitions, explanations and takeaways, so it's easier to learn and remember.

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How many questions are in the Data Storage and Processing quiz?

The practice quiz has 28 multiple-choice questions, each with an explanation. Use it to check what you know and find your gaps.

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How do I study Data Storage and Processing with flashcards?

There are 90 flashcards on Data Storage and Processing, with a question on the front and the answer on the back. Try to recall each answer before you flip, and let spaced repetition bring back the ones you miss.

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Data Storage and Processing: Study Guide & Quiz