CS107: Introduction to Computer Science Lecture 2 Jan 29th.
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Transcript of CS107: Introduction to Computer Science Lecture 2 Jan 29th.
CS107: Introduction to Computer
ScienceLecture 2
Jan 29th
• Last time– What is not Computer Science– What is Computer Science– Algorithms, properties and examples
• Today– Expressing algorithms: Pseudocode– Examples
• Algorithm for adding two m-digit numbers• Algorithm for computing miles-per-gallon
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, ...
What is an algorithm?
Algorithm = well-defined procedure that allows an agent to solve a problem.
Algorithms must:
1. Be well-ordered and unambiguous
2. Be executable (understandable),
3. Solve the problem, and
4. Terminate.
Note: often the agent is a computer or a robot…
Example Algorithms
• Cooking a dish
• Making a peanut-butter jelly sandwich
• Shampooing hair
• Adding two numbers (p 7)
• Programming a VCR (p 6)
• Making a pie (p 13)
Designing Algorithms
We need:• A problem for which an effective algorithm can be written
(i.e., one that is tractable),
• A language (e.g., “pseudocode” or C++),
A methodology for translating the problem into an algorithm, and
• A computing “agent” that can understand and execute such algorithms.
Expressing algorithms
• Is natural language good? – For daily life, yes…but 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.
Pseudocode
• Pseudocode = English but looks like programming
• Good compromise – Simple, readable, no rules, don’t 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
Pseudocode elementsBasic (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
• Sequential operations
• Repeat operations– Execute a block of operation multiple times until a
certain condition is met
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:
– List variables: used when the input comes as a list of elements
i carry
am-1 am-2 … a1 a0
…
a1 a2 … a m-1 am
…
Expression and assignment statements
Function: change the value of a variable by evaluating arithmetic expressions • can use any arithmetic expression, just like on a typical calculator: +. -. *, /, …
Examplesset the value of m to 2
set the value of i to 6.set the value of carry to i+2*mset the value of ai to 0
a1 a2 … a m-1 am
…
Input/Output Statements
Function: transfer values from the user to a variable, or vice-versa
get values for <variable>print value of <variable>
• Examples
– Get the value of n from the user– Get value of the list of elements a1, a2, …,am
from the user– Print the value of result to the user
Sequential statements
The steps of an algorithm are carried out in the order they are written.
Conditional statementsFunction: specifying a statement that may or may not be done:
if <condition> then<statement to be done>
else <statement to be done otherwise>
Example
if the value of carry is 0 then set the value of a to 0
else set the vale of a to a+1
Loop statements
Function: specify a group of statements that may be done several times (repeated):
repeat until <condition>< statements to be repeated >
• How does this work? – Condition is evaluated– If it is true than the loop terminates and the next instruction to be
executed will be the instruction immediately following the loop– If it is false, then the algorithm executes the <statements to be
repeated> in order, one by one
Example
Step 1: set count to 1Step 2: repeat step 3 to step 5 until count is > 10
Step 3: set square to count *count Step 4: print value of square and value of countStep 5: add 1 to count
Step 6: end
• What does this algorithm do? • Note: indentation
– Not necessary, but makes reading/understanding algorithms easier
An example pseudocode algorithm (Fig 1.2)
Given: m ≥ 1 and two positive numbers a and b, each containing m digits, compute the sum c = a + b.
0 Get values for m, am-1 … a0 and bm-1 … b0
1 Set the value of carry to 0.2 Set the value of i to 0.3 Repeat steps 4-6 until i > m-1
4 Set the value of ci to ai + bi + carry
5 if ci ≥ 10 then
subtract 10 from ci and set the value of carry to 1
else set the value of carry to 06 Add 1 to i
7 Set the value of cm to carry
8 Print value of c = cm cm-1 cm-2 … c0
So, how does this work???
For example, the input is m = 4, a = 3276, and b = 7345.
After step 0, the variables m, a, and b have those values:
m
a3 a2 a1 a0 b3 b2 b1 b0
4 3 2 7 6 7 3 4 5
After steps 1 and 2, the variables i and carry are initialized.
i 0 carry 0
Next, steps 4-6 are repeated until the value of i > 3. Each repetition computes a single digit of c.
c4 c3 c2 c1 c0
A model for visualizing an algorithm’s behavior
Algorithm
Computer
Input (keyboard)
Output (screen)
Variables
E.g., Visualizing Fig 1.2
m
a3 a2 a1 a0
b3 b2 b1 b0
4
3 2 7 6
7 3 4 5
i 0 carry 0
c4 c3 c2 c1 c0
0 Get values for ……8 Print value of …
Computer
Input (keyboard)
Output (screen)
432767345
Another example: computing MPG (Fig 2.5)
0 Set response to “Yes”1 Repeat steps 2-10 until response = “No”
2 Get gallons, start, end3 Set distance to end - start4 Set mpg to distance ÷ gallons5 Print mpg6 if mpg > 25.0 then7 print “You are getting good gas mileage”8 else print “You are NOT getting good gas
mileage”9 Print “Do you want to do this again, Yes or No?”10 Get response
11 Stop
So, how does this work???
For example, suppose we use 25 gallons, beginning at 12000 and ending at 13000 on the odometer. Then, after step 2, some variables have the following values:
response gallons12000start
Yes 25
After step 4, the variables distance and mpg are computed.
mpg 40
Steps 5-9 displays these results on the output screen:
40
You are getting good gas mileage
Do you want to do this again, Yes or No?
end
distance
13000
1000
Visualizing Fig 2.5
response
end
distance
Yes gallons
start
mpg
0 Set response ……11 Stop
Computer
Input (keyboard)
Output (screen)
251200013000
Summary
• Pseudocode– Get/print statements (input/output statements)– Conditional statements– Sequential statements– Loops
• Algoritms– Compute sum of two m-digit numbers– Compute miles-per-gallon
Over the weekend…
1. Get the textbook.
2. Read Chapter 1, 2.1 and 2.2
3. Discuss and solve the problems in the Lab 1 (in groups or individually).
Lab 1 is due on Monday in class. If you have questions we’ll discuss them in class on Monday.
4. Bring a digital picture for the lab tomorrow. You will need it for your website.