Why Computer Science Had Been So Popular Till Now? - PowerPoint PPT Presentation

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Why Computer Science Had Been So Popular Till Now?

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The main areas of study in Computer Science include artificial intelligence, computer systems and networks, security, database systems, interaction with human computers, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and computer theory. – PowerPoint PPT presentation

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Title: Why Computer Science Had Been So Popular Till Now?


1
What are the specializations within computer
science?
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2
Computer Science Assignment
Computer science is really a general term that
covers several fields. CS professionals can work
in data analysis, software engineering, computer
engineering, information security or network
administration, to name just a few options.
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3
Computer Science Tutorials for students
These are some of the specializations that you
can consider for your degree in computer science.
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4
Computer and network security
The course work for this specialization generally
includes topics such as database administration,
advanced operating systems, cryptography and
advanced encryption strategies.
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5
Mobile computing and web
Academic programs in this field can focus on
broad applications based on the theory of network
protocols and other aspects of system design.
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6
The person-computer interaction
This concentration prepares students to design
and create the next generation of technology.
This could include going beyond the traditional
model of a keyboard and monitor to any number of
other interfaces.
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7
Software Engineering
Programs in software engineering or software
theory generally place a great emphasis on
programming languages ??for a variety of uses.
These programs tend to highlight collaborative
teamwork and software security.
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8
Bioinformatics
Bioinformatics focuses on the intersection of CS
and biological science. Bioinformatics programs
will prepare students to extract and interpret
biological data.
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9
Information management and data analysis
The topics for course work in this field
generally include algorithms for data mining,
database architecture and distributed systems and
networks.
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10
Artificial intelligence
The field of artificial intelligence incorporates
topics such as probability and modeling,
robotics, logical reasoning, and machine
learning.
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11
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