Computing and other Sciences

What are the examples of formal science?

• Mathematics

• Physics

• Statistics

• Biology

Natural science uses quantifiable data, such as the results of mathematical formulae, obtained from quantitative research. Validity, accuracy and quality through peer review are important criteria for scientific research related to the natural sciences.

• TRUE

• FALSE

Formal science uses abstract logical systems, such as assigning values or determining True versus False, which can be applied to both natural science and social science via qualitative research.

• FALSE

• TRUE

It is a branch of science studying formal language disciplines concerned with formal systems, such as logic, mathematic s, statistics, theoretic al computer science, artificial intelligence, informati on theory, game theory, systems theory, decision theory, and theoretical linguistics.

• Formal Science

• Natural Science

• Social Science

Biology is the study of living organisms.

• FALSE

• TRUE

What is Natural Science?

• any of the sciences (such as physics, chemistry, or biology) that deal with matter, energy, and their interrelations and transformations or with objectively measurable phenomena.

• It is an area of study which uses mathematically-definable logic systems to generate a result.

• It’s a branch of science that deals with the institutions and functioning of human society and with the interpersonal relationships of individuals as members of society

What are the examples of Natural Science?

• Oceanography

• Biology

• Chemistry

• Astronomy

Natural sciences have also benefited from the developments of the computing industry. For example Computer tomography or CT scans are useful for capturing high-contrast x-ray images from various angles and of sensitive organs.

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• FALSE

What is ACM?

• Association at Computing Machinery

• Association for Computing Machinery

• Association for Computer Machinery

• Association in Computing Machinery

ACM SIGs represent major areas of computing and the interests of technical communities which drive innovation. Examples are;

• Algorithms and Computation Theory

• Design Automation

• Embedded Systems

• Information Retrieval