2. Who?
Dr. Cindy Kersey
Assistant Professor Math/Computer Science
Office: AS-113-S
Office Hours: MWF 11:00-12:00 and 2:00-3:00
Office phone number: 815-836-5134
Email: kerseycy@lewisu.edu
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3. What?
This course explores the field of computer science.
It provides an overview of
computer architecture
networking
data organization
computational theory
Students will be introduced to fundamental concepts underlying all
of computing such as
data representation
algorithms
abstractions
programming
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4. What?
On the successful completion of this course you will
think algorithmically
be familiar with data representations and encodings understand how
computers manipulate data to generate output
be able to read, understand, modify, and assemble from pieces
programs that achieve useful tasks
master using basic constructs provided by high-level imperative
programming languages: sequencing, selection, and iteration
be familiar with using basic data structures such as arrays in simple
programs
be familiar with the fundamentals of networking and the internet
be able to create a simple relational database
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5. What?
Weeks Topic Chapter/Software
1-4 Number system, data
representation,
hardware and
operating systems
Chapters 1-5 and 10-
11
5-10 Programming using
Scratch and Java
Scratch
DrJava and the Java
JDK
11-12 Networking and the
Internet
Chapter 15-16
13 Computer Security Chapter 17
14-15 Database systems Chapter 12
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6. Where?
Here in class
In the CS labs
At home, but you will need to install software
But it’s (almost) all free!!!
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7. When?
9:30-10:45 Tuesday and Thursday
Office Hours:
Scheduled: 11:30-2:00 TR
Make an appointment
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8. How?
Textbook
Nell Dale and John Lewis, Computer Science
Illuminated, Jones & Bartlett Learning; 5th
edition, 2013. ISBN-13: 978-1449672843.
Blackboard
http://lewisuniversity.blackboard.com
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10. How?
Course Policies
Come to class
Pay attention
Don't surf the web
Turn in homework
on time!
Take tests
when scheduled
Don’t cheat
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11. What is a Computer?
A device that performs high-
speed mathematical and/or
logical operations or that
assembles, stores, correlates,
or otherwise processes
information.
The first computers were
people who did computations
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12. Why Do Computers Keep Getting
Cheaper?
The number of transistors (a major component of the brain of a
computer) at the same price doubles every 18 months
making computers faster, smaller, and cheaper over time
This notion is know as Moore’s Law
For Gordon Moore, a founder of Intel
This “Law” has held true for decades
And is predicted to hold true at least one more
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13. What are Computers Good At?
Doing calculations and comparisons
Producing the same answer every time
Like calculating the sum of hundreds of numbers
Computer don’t tire of tedious tasks
Storing information
They don’t forget information
Looking up information quickly
Search through a phone book to find the customer name for a
phone number
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14. But computers aren’t intelligent…
They don’t “think”
At least not yet
They require detailed instructions in order to perform tasks
These instructions are called algorithms
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15. Computer Science
The science of algorithms
Draws from other subjects, including
Mathematics
Engineering
Psychology
Business Administration
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18. Computing as a Tool
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Programmer / User
Applications Programmer
(uses tools)
User with No
Computer Background
Systems Programmer
(builds tools)
Domain-Specific Programs
19. Computing as a Discipline
What can be (efficiently) automated?
Four Necessary Skills
Algorithmic Thinking
Representation
Programming
Design
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20. Computing as a Discipline
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Is Computer Science a mathematical,
scientific, or engineering discipline?
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What do you think?
