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CSci 107 Introduction to Computer Science

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Title: CSci 107 Introduction to Computer Science


1
CSci 107Introduction to Computer Science
  • Lecture 1

2
Administrativia
  • Class webpage
  • http//www.bowdoin.edu/ltoma/teaching/cs107/fall0
    4/
  • Office hours
  • Grading policy
  • Syllabus
  • Lab assignments
  • Readings
  • This class is an introduction to CS. The goal is
    to find out what CS is about and find out about
    its applications and impact in other disciplines.

3
What is Computer Science?
  • Computer Science is the study of computers (??)
  • This leaves aside the theoretical work in CS,
    which does not make use of real computers, but of
    formal models of computers
  • A lot of work in CS is done with pen and paper!
  • Actually, the early work in CS took place before
    the development of the first computer
  • Computer Science is no more about computers than
    astronomy is about telescopes, biology is about
    microscopes, or chemistry is about test tubes.
    Science is not about tools. It is about how we
    use them, and what we find out we can do.

4
What is Computer Science?
  • Computer Science is the study of how to write
    computer programs (programming) (??)
  • Programming is a big part of CS.. ..but it is not
    the most important part.
  • Computer Science is the study of the uses and
    applications of computers and software (??)
  • Learning to use software packages is no more a
    part of CS than drivers education is part of
    automotive engineering.
  • CS is responsible for building and designing
    software.

5
What is computer science?
  • The study of algorithms
  • their formal properties
  • correctness, limits
  • efficiency/cost (Chapters 2, 3, 10)
  • their hardware realizations
  • computer design (Chapters 4-6)
  • their linguistic realizations
  • programming languages (Chapters 7-9)
  • their applications
  • network design, ocean modeling, bioinformatics,
    ...

6
What is an algorithm?
  • a well-defined procedure that allows an agent
    to solve a problem.
  • Note often the agent is a computer or a robot
  • Example algorithms
  • Cooking a dish
  • Making a peanut-butter jelly sandwich
  • Shampooing hair
  • Programming a VCR
  • Making a pie

7
Example
  • Is this an algorithm?
  • Step 1 Wet hair
  • Step 2 Lather
  • Step 3 Rinse
  • Step 4 Repeat
  • Would you manage to wash your hair with this
    algorithm? How about a robot? Why (not)?

8
Algorithms
  • An algorithm must
  • 1. Be well-ordered and unambigous
  • 2. Each operation must be effectively
    computable
  • 3. Terminate.

9
Example
  • Problem Find and print the 100th prime number
  • A prime number is a whole number not evenly
    divisible by any other number other than 1 and
    itself
  • Algorithm (?)
  • 1. Generate a list of all primi numbers L1, L2,
    L3,
  • 2. Sort the list into ascending order
  • 3. Print out the 100th element in this list
  • Is this an algorithm?

10
Algorithm for Programming a VCR
  • Step 1 If the clock and calendar are not
    correctly set, then go to page 9 of the
    instructionmanual and follow the instructions
    before proceeding
  • Step 2 Place a blank tape into the VCR tape slot
  • Step 3 Repeat steps 4 through 7 for each program
    that you wish to record, up to a maximum of 10
    shows
  • Step 4 Enter the channel number that you wish
    to record, and press the button labeled CHAN
  • Step 5 Enter the start time and press TIME-START
  • Step 6 Enter the end time and press END-TIME
  • Step 7 This completes the programming of one
    show. If you do not wish to program anything else
    press END-PROG
  • Step 8 Press te button labeles TIMER. Your VCR
    is ready to record.

11
Types of Operations
  • Basic operations
  • Wet hair
  • Rinse
  • Turn on VCR
  • Conditional operations
  • If batter is too dry add water
  • Repeat/looping operations
  • Repeat step 1 and 2 three times
  • Repeat steps 2,3,4,10 until batter becomes soft.

12
Algorithm
  • How to come up with an algorithm?
  • That is, how to discover an algorithm underlying
    a problem?
  • Problem solving
  • How to represent an algorithm?
  • In English??
  • In a programming language??

13
Example
  • Problem Given two positive integers, compute
    their greatest common divisor
  • Euclids algorithm
  • Step 1 Get two positive integer values from the
    user
  • Step 2 Assign M and N the value of the larger
    and smaller of the two input values, respectively
  • Step 3 Divide M by N, and call the remainder R
  • Step 4 If R is not 0, then assign M the value of
    N, assign te value of R, and return to step 2
    otherwise, the greatest common divisor is the
    value currently assigned to N

14
Coming up with algorithms..
  • How do people think????
  • Puzzle
  • Before A, B, C and D ran a race they made the
    following predictions
  • A predicted that B would win
  • B predicted that D would be last
  • C predicted that A would be third
  • D predicted that As prediction would be correct.
  • Only one of these predictions was true, and this
    was the prediction made by the winner.
  • In what order did A, B, C, D finish the race?

15
Example
  • Problem Adding two n-digit numbers
  • 7597831
  • 1287525
  • -------------------
  • 8885356
  • How would you write an algorithm to solve
    this problem? Assume the basic operation is
    adding one-digit numbers.

16
Expressing algorithms
  • Is natural language good?
  • For daily life, yesbut for CS is lacks structure
    and would be hard to follow
  • Too rich, ambiguous, depends on context
  • How about a programming language?
  • Good, but not when we try to solve a problem..we
    want to think at an abstract level
  • It shifts the emphasis from how to solve the
    problem to tedious details of syntax and grammar.

17
Pseudocode
  • Pseudocode English but looks like programming
  • Good compromise
  • Simple, readable, no rules, dont worry about
    punctuation.
  • Lets you think at an abstract level about the
    problem.
  • Contains only instructions that have a
    well-defined structure and resemble programming
    languages

18
Pseudocode
  • Basic (primitive) operations
  • Read the input from user
  • Print the output to the user
  • Cary out basic arithmetical computations
  • Conditional operations
  • Execute an operation if a condition is true
  • Repeat operations
  • Execute a block of operation multiple times until
    a certain condition is met

19
Variables
  • Variable
  • A named memory location that can store a value
  • Think of it as a box into which you can store a
    value, and from which you can retrieve a value
  • Examples
  • Example of operations
  • Set the value of i to 3
  • Set the value of M to i3 12
  • Set the value of i to i10

i
M
20
A model for visualizing an algorithm
Algorithm
Variables
Operations
An algorithm consists of operations that involve
variables
21
Primitive operations
  • Get input from user
  • Get the value of x from user
  • Assign values to variables using basic arithmetic
    operations
  • Set the value of x to 3
  • Set the value of y to x/10
  • Set the value of z to x 25
  • Print output to user
  • Print the value of y, z to the user

22
Example 1
  • Problem For any three numbers input by the user,
    compute their sum and average and output them
  • Example of algorithm in pseudocode
  • Variables a,b,c, sum, avg
  • Get the values of a, b, c from user
  • Set avg to (abc)/3
  • Set sum to (abc)
  • Print sum and avg

23
Example 2
  • Problem Given any value of radius from the user,
    compute and print the circumference of a circle
    with that radius
  • Algorithm in pseudocode
  • variables r, c
  • 1. Get the value of r from user
  • 2. Set c to 2 pi r
  • 3. Print The circumference of your circle is c

24
For next time
  • Read Chaper 1 (textbook)
  • Be ready to answer the following question
  • Who was Alan Turing and what is he famous for?
  • Read Chapter 2.2.1 and 2.2.2
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