Week 4 – Coding Again 👍🏼 – Knowledge Integration and Project Planning: Data, Inequality and Society (2022-2023)

After finishing Insight Through Data last semester, I started Representing Data in the fourth week of this semester. After the first session, I summarized an outline of Representing Data in conjunction with my last semester’s learning of python

Introduction:

Representing data is a crucial aspect of computer science, as it forms the foundation of all computational processes. The goal of this study plan is to provide a comprehensive understanding of the various methods and techniques used to represent data in computer systems. The study plan will cover the basics of data representation, including the binary number system, character encoding, and data compression. It will also explore more advanced topics such as image and audio representation.

Section 1: Basics of Data Representation

This section will cover the basics of data representation, including the binary number system, which is the fundamental method of representing data in computer systems. We will discuss how binary numbers are used to represent data types such as integers, floating-point numbers, and characters. We will also explore the ASCII and Unicode character encoding systems, which are used to represent characters in computer systems.

Section 2: Data Compression

In this section, we will discuss the various techniques used to compress data. We will cover lossless compression algorithms such as Huffman coding and Lempel-Ziv-Welch (LZW) compression, as well as lossy compression algorithms such as JPEG and MPEG. We will also discuss the trade-offs between compression ratio and compression speed.

Section 3: Image Representation

This section will cover the representation of images in computer systems. We will explore the various image formats such as JPEG, PNG, and BMP. We will discuss how images are represented using pixels, color spaces, and image compression techniques.

Section 4: Audio Representation

In this section, we will discuss the representation of audio in computer systems. We will explore the various audio formats such as WAV, MP3, and AAC. We will discuss how audio is represented using digital signal processing techniques such as sampling, quantization, and encoding.

Conclusion:

This study plan provides a comprehensive overview of the various methods and techniques used to represent data in computer systems. It covers the basics of data representation, including the binary number system and character encoding, as well as more advanced topics such as image and audio representation. By understanding these concepts, students will gain a deeper appreciation for the role of data representation in computer science and will be better equipped to design efficient and effective computer systems.