This ppt will be helpful for teachers to motivate students to take up Computer Science as a career.

1. Computer Science
and concepts of computing in general
By
Engr. Neil Duraiswami

2. What is a Machine?
Input Process Output

3. What is a Computer?
• An computer is a Electronic machine.
• A computer is a machine or device that performs processes,
calculations and operations based on instructions provided by a
software or hardware program.
• It has the ability to accept data (input), process it, and then produce
outputs.

4. What is Computer Science?
• Computer science is the study of computers, including computational
theory, hardware and software design, algorithms and the way
humans interact with technology.
• In simple words, Computer science is the study of computers.

5. What is the need of Computer science?
• Computer scientists use technology to solve problems and prepare
for the future. They also write programs that create applications, but
their primary focus is validating models of human-computer
interaction with people or machines to develop efficiencies where
needed.

6. Scope of an Individual in Computer science or
Information Technology:
• Computer science can be a good major when you're looking for
strong career prospects after graduation and opportunities to develop
numerous skills.
• Graduates are often in demand across sectors, have the potential to
earn higher than average salaries, and may be able to advance more
quickly in their careers.

7. Common Computer Science Specializations:
Artificial
Intelligence
Networks
Information
Security
Data
Science
Software
Engineering
Cloud

8. Artificial Intelligence
• Artificial intelligence (AI) refers to a computing system’s ability to
solve problems, make predictions, or complete complex tasks.
• Some applications: Text Autocorrect and Face Detection.
• Skills: Mathematics and analysis, algorithms, predictive
modeling.
• Common Roles: Artificial Intelligence Architect, Artificial
Intelligence Researcher, Machine Learning Engineer

9. Networks or Computer Networks
• This specialization focuses on how organizations use both wired and
wireless networks to exchange information with internal and external
stakeholders i.e. entities.
• Responsibilities include managing bandwidth, traffic, user access, and
the security of networks themselves, as well as any devices connected
to the network.
• Common Roles: Network Administrator, Network Analyst, Network
Architect.

10. Information Security
• Information security professionals manage all aspects of an
organization’s security, including software applications, networks,
storage hardware, devices, and so on.
• Some Information Security terms: Encryption-Decryption,
Cryptography, Attacks and threats.
• Common Roles: Security Engineer, Network Security Analyst, System
Security Analyst

11. Data Sciences
• Data science refers to the ability to “mine” large data sets to gain
useful information or insight.
• Organizations benefit most from data science as a practice when a
variety of techniques are used to retrieve and analyze data, and when
it is used to process large, complex data sometimes also known as
“Big data”.
• Some Important terms: Data Mining, Cluster and Categorization.
• Common Roles: Data Scientist, Data Analyst, Business Intelligence
Analyst, Machine Learning Engineer, Information Scientist, Database
Administrator.

12. Software Engineering
• Software engineering is a systematic engineering approach to
software development.
• Software Engineering models: Linear Sequential (Waterfall),
Incremental Development (ID).
• Skills: Coding and scripting, communication, collaboration.
• Common Roles: Software Development Engineer, Software Engineer

13. Cloud Computing
• Cloud computing is the on-demand availability of computer system
resources, especially data storage and computing power.
• E.g. of cloud: Gmail, Amazon Web Services.
• Skills: Development and operations (DevOps), Cloud security.
• Common Roles: Cloud Database Administrator, Cloud Architect.

14. Bachelor Degrees in Computer Sciences:
• Bachelor of Engineering in Computer Science ‘B.Tech/B.E Comp’ (4
years).
• Bachelor of Engineering in Information Technology ‘B.Tech/B.E IT’ (4
years).
• Bachelor of Engineering in Artificial Intelligence and Data science
‘B.Tech/B.E AI/DS’ (4 years).
• Bachelor of Science Computer Science/ Bachelor of computer Science
‘B.Sc Comp/BCS’ (3 years).

15. Comparing Engineering to Regular science
degree:
B.E(Engineering) BSc/BCS
Years to complete 4 3
Difficulty Hard Relatively Easy
Campus Hours 7-8hr 4-5hr
Degree Type Professional degree Regular degree
Job opportunities High Low next to none

16. An abstract of my experience in first year of
Engineering:
1. You will learn most of the basic engineering subjects in the first
year.
2. It will be tiring and hectic.
3. No one will force you to study.
4. If you miss your classes, you need to study on your own.
5. College networking helps.
6. You can pass engineering without being punctual in your studies
just by knowing how to study.

17. Well is it even worth to take up Computer
Science as a Major?
• Average salary of a fresher in the IT Industry in India is ₹ 3.2 Lakhs per
year.
• A mid-career Senior Software Engineer with 4-9 years of experience
earns an average salary of ₹11.3 Lakhs per year, while an experienced
Senior Software Engineer with 10-20 years of experience earns an
average salary of ₹18.3 Lakhs per year.
• YES……………….. It’s totally worth it.

18. Computer Science Demand in other Countries
1.Switzerland
2.Canada
3.Australia
4.Netherlands
5.Germany
6.USA
7.Sweden
8.Denmark
9.Singapore
10.United Kingdom

19. Thank you