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Bachelor of Computer Science (Hons) 1. Name of Course 2. Course Code 3. Name(s) of academic staff 4. Rationale for the inclusion of the Elective course/module in the program The amount of data is

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How to fill out data compression and coding

01

Start by understanding the basics of data compression and coding.

02

Identify the type of data you want to compress or code.

03

Choose a suitable compression or coding algorithm based on the type of data.

04

Implement the chosen algorithm in your application or software.

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Follow the recommended guidelines and best practices for data compression and coding.

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Optimize and refine the compression or coding process if necessary.

Who needs data compression and coding?

01

Data compression and coding are essential for anyone dealing with large amounts of data.

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Companies and organizations handling huge datasets can benefit from data compression and coding to save storage space and reduce costs.

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Developers working on applications that involve data transfer or storage can use compression and coding techniques to optimize performance and improve efficiency.

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Data analysts and scientists often use compression and coding to compress data for analysis purposes and reduce the computational load.

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Individuals who deal with multimedia files, such as images, videos, and audio, can benefit from compression and coding to reduce file sizes and improve sharing and transmission speed.

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What is data compression and coding?

Data compression and coding is the process of encoding information using fewer bits than the original representation.

Who is required to file data compression and coding?

Any individual or organization that collects, processes, or stores data is required to file data compression and coding.

How to fill out data compression and coding?

Data compression and coding can be filled out electronically through the designated platform provided by the relevant authority.

What is the purpose of data compression and coding?

The purpose of data compression and coding is to optimize storage space and transmission efficiency of data.

What information must be reported on data compression and coding?

Data compression and coding typically require information such as data type, size, encoding method, and date of compression.

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