March 15, 2022
Written by Justin Chia, Business Development Manager | SNG for CS101.
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Computer science helps the development of critical thinking, problem-solving and complex analytical strategies. Computer science also has practical application in education technology where it is used as the basis for enhancing individualised education, improving student goals, and lowering the teaching burden on instructors. Read our blog here: Beginner’s Guide: What is Computer Science?
As a result, the learning process is enhanced and the quality of education is improved. EdTech also helps online teaching and instructing strategies making online learning a better experience for the learners. Now, let's now talk about the scope of computer science in 2022. Keep reading below to know it all!
With the start of 2022, there has been a significant rise in the scope of computer science. This section highlights the main areas that computer science benefits you with these days. Speaking from experience, with over 15 years in EdTech, with computer science knowledge you can enter the following areas with some explanatory videos if you prefer to watch instead
It is basically the property of a computer-controlled device or a digital computer to do activities that are actually practiced by intelligent beings. The most frequent use of this term is associated with the project of developing systems where intellect is required.
The most notable human intellectual characteristics considered here include reasoning ability, learning from past activities, generalisation characteristic, and the ability to discover meanings.
Some of the most common examples of Artificial Intelligence are:
There are several ways in which Artificial Intelligence makes your life easier. Some of these are discussed below:
Artificial Intelligence is nowadays applied everywhere increasing the demand for AI professionals. Various application areas for AI professionals are:
It’s exciting that Artificial Intelligence is a highly growing area that brings about opportunities for various other fields. Some of these are mentioned below:
Machine learning, abbreviated as ML refers to the study of computer algorithms that are improved automatically by the use of data and experience. In machine learning, sample data is taken for building a model for the machine learning algorithms for making decisions or predictions without clearly programming for the action.
The major applications of machine learning are in the fields where the development of conventional algorithms is difficult for carrying out the desired task.
Some of the most common examples of machine learning are:
There are several ways in which machine learning makes your life better. Some of these are discussed below:
Machine learning is nowadays applied in various areas for making lives easier. Various application areas for machine learning professionals are:
Machine learning is a developing knowledge that brings about opportunities for various other fields. Some of these are mentioned below:
Blockchain is a term used for the extending records list referred to as blocks, that have a strong association with the use of cryptography. A cryptographic hash taken from the previous graph is added to the new block along with the transaction data (shown as the Merkle tree) and a timestamp.
The main role of the timestamp here is to verify the existence of the transaction data to get into the block hash when it was published.
Some of the most common examples of blockchain are:
There are several ways in which blockchain makes your life better. Some of these are discussed below:
Blockchain is nowadays applied in various areas for making lives easier. Various application areas for blockchain professionals are:
Blockchain is a growing knowledge that brings about opportunities for various other fields. Some of these are mentioned below:
Feel free to have a read of our blog here: 8 Career Paths in Computer Science [Infographic] for a summary.
Hopefully, now you are better able to understand the importance of computer science in artificial intelligence, machine learning, and blockchain. If you or your team are ready to invest yourselves for 2022 with CS101, contact me today for more information or enrol today to secure your spot.