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Computer- A computer is a machine, an electronic device that has the ability to take in the input (Instructions), process this set of instructions, to return a value or an output.
A computer is divided into two main parts — 
(a) The machinery; which includes wires, transistors, circuits etc. (also called Hardware parts), 
(b) The Instructions and data — (termed Software)

A computer is a tool used in the study of Computer Science.

Algorithm: An algorithm refers to a step-by-step list of instructions to solve an instance of a problem. Algorithms are finite processes and are solutions in themselves.

Computer Science is the study of problems, problem-solving as well as the solutions that come out of a problem-solving process. It is easy to assume that for every problem, there must be a solution; However according to Theory of Computation (TOC): Not every problem has a solution. Problems in Computer science can either be Computable or Non-Computable.

Computable Problems: This refers to problems (or functions) that, there exists some algorithm that computes an answer(or output) to any instance of the problem in a finite number of steps. A simple example is the Integer increment operation:

f(x) = x + 1

Non-Computable Problems: A non-computable problem refers to a problem for which there is no algorithm that can be used to solve it. The most famous example of non-computability (or undecidability) is the “Halting Problem”.

Hence, Computer science can be said to be the study of computable problems as well as non-computables, the existence and non-existence of an algorithmic approach to a problem.

Abstraction in Problem Solving: 
Abstraction allows us to view a problem and solution in such a way — that helps us separate logical and physical perspective e.g A half filled jar= 1/2

Programming:
Programming is the process of taking on an algorithm, encoding it into a notation (a programming language) so that it can be executed by a computer.

Programming languages provide a notational way to represent both the process of encoding and the data, providing a control construct as well as data types.

Control Construct: This allows algorithms to be represented in a convenient yet unambiguous way.

Data Type: Provides interpretation for binary data (which the computer ordinarily understands) so that we can think about the data in terms that make sense with respect to the problem being solved.

Source: https://minify.tech/question/2/definition-computer-science-algorithm-programming-and-computation

concise definitions

ANTONINEUTRON:
concise definitions

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