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CPSC 121: Models of Computation2011 Winter Term 1
Introduction & Motivation
Steve Wolfman, based on notes by Patrice Belleville and others
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Learning Goals: In-Class
By the end of the unit, you should be able to:– Give an example of how we can apply formal
reasoning and computers to a simple, real-world task.
– Give an example of how a computational solution to a simple task might go wrong.
– Describe the two “big stories” of CS121: reasoning about computation and building computers.
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Outline
• Introductions
• Introductions Exercise
• The CS121 Story
• Course Administration
• Next Lecture Notes
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Introductions
Steven Wolfman <[email protected]>
ICICS 239; office hours listed on the websiteI also have an open door policy:If my door is open, come in and talk!Also, I will usually be available after class.And, you can make appointments with me.Additionally, you can use TA office hours.
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Outline
• Introductions
• Introductions Exercise
• The CS121 Story
• Course Administration
• Next Lecture Notes
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More Introductions
Introduce yourselves… how?
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Introduce Yourselves in Groups of 4-ish
FIND ~3 people around you, preferably people you’ve never met. Form a group.
Have everyone in the group introduce themselves to everyone else in the group. (Count the number of intros this takes.)
Tell everyone why you’re here, your favorite career that you’ll never have, and one unusual thing about you.
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Problem: How Many Introductions?
Problem: How many introductions does it take for everyone in a group to meet everyone else in a group?
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Concept Q: Intros for 4
How many introductions does a group of 4 people take?
a.3
b.4
c.6
d.12
e.None of these
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Problem: How Many Introductions?
Problem: How many introductions does it take for everyone in a group to meet everyone else in a group?
To solve this problem, we need to model it more formally.10
How Many Introductions?
Model: One “introduction” is one person introducing themselves to another person. (Two people need two introductions to introduce themselves to each other.)
A group has “introduced themselves” when every group member has introduced themselves to every other member. (No self-introductions!)
Hi, I’m Grace H.
Hi Grace, I’m Alan T.Intro #1
Intro #211
How Many Introductions?
Problem: How many introductions does it take for a group of n people to introduce themselves?
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How Many Introductions?
For 2 people?
For 3 people?
For 4 people?
For 5 people?
…
For n people?
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How Many Introductions?
For 100 people?
For 8675309 people?
For 1526097757 people?
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Program for Introductions
int introductions(int n)
{
return n * (n - 1);
}
(define (introductions n)
(* n (- n 1)))
Do you believe it?15
(in Java)
(in Scheme/Racket)
Program for Introductions: Testing
Java version with 100: 9900
Do you believe it?16
Program for Introductions: Testing
Java version with 100: 9900
Java version with 8675309: 265642364
Do you believe it?17
Program for Introductions: Testing
Java version with 100: 9900
Java version with 8675309: 265642364
Java version with 1526097757: -645820308
Um.. Do you believe it?Does this fit with your “model” of computation?
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Program for Introductions: Testing
Racket version with 100: 9900
Racket version with 8675309: 75260977570172
Racket version with 1526097757: 2328974362394333292
Do you believe it?Will Racket always get the right answer?
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Outline
• Introductions
• Introductions Exercise
• The CS121 Story
• Course Administration
• Next Lecture Notes
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Questions that CPSC121 Answers
How can we prove that our formula for the number of introductions is correct? (induction)
What went wrong in our Java implementation? (number representation)
How do we model and reason about computational systems at various levels of abstraction? (propositional and predicate logic, proof, sets, functions, DFAs, relations, ...)
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CPSC 121: The Big Stories
Theory
How do we model computational systems (programs/computers) in order to design and analyze them?
Grand goal: Reason about what is and isn’t possible to compute.
Hardware
How do we build devices that can compute out of real materials (“sand and rocks and water”)?
Grand goal: break
down a full computer
into simple “gates”.
Bonus end goal: Develop tools to communicate computational ideas clearly and precisely. 22
Our Working Computer
23The whole thing (mostly wires connecting boxes).
Our Working Computer(zoomed in on one “box”)
24Just the “ALU” (arithmetic and logic unit). You’ll see a pared-down version in lab in a couple of weeks.
CPSC 121: The (By?)Products
Theory
Products:• Propositional logic• Predicate logic• Sets and functions• Proof techniques (especially
induction!)
• Finite Automata/Regular Expressions
• Universal machines• Uncomputability
Hardware
Products:• Gates• Combinational circuits• Binary data
representations• Sequential circuits• A full computer
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What is CPSC 121 Good For?
With CPSC121’s help, you will be able to:• model important problems so that they are easier
to discuss, reason about, solve, and test.
• learn new modeling formalisms more easily.
• communicate clearly and unambiguously with other CS experts on complex topics.
• characterize algorithms (CS problem solutions), such as proving their correctness or efficacy.
• critically read proofs: justifying why each step is correct and judging what the proof means.
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Outline
• Introductions
• Introductions Exercise
• The CS121 Story
• Course Administration
• Next Lecture Notes
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Course Administration
Explore the CPSC 121 website:
http://www.ugrad.cs.ubc.ca/~cs121/
You are required to be familiar with the course website. Ignorance of information on the website may harm you.
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Additional Administrative Notes
The first quiz is “any marks gives full marks”. So, if you get more than 0%, we’ll count it as 100%.
Labs, tutorials, and TA office hours in the Learning Centre all start NEXT week.
(My office hours start this week!)
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Outline
• Introductions
• Introductions Exercise
• The CS121 Story
• Course Administration
• Next Lecture Notes
30
Learning Goals: In-Class
By the end of the unit, you should be able to:– Give an example of how we can apply formal
reasoning and computers to a simple, real-world task.
– Give an example of how a computational solution to a simple task might go wrong.
– Describe the two “big stories” of CS121: reasoning about computation and building computers.
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Next Lecture Learning Goals: Pre-Class
By the start of class, you should be able to:– Translate back and forth between simple
natural language statements and propositional logic.
– Evaluate the truth of propositional logic statements using truth tables.
– Translate back and forth between propositional logic statements and circuits that assess the truth of those statements.
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Next Lecture Prerequisites
Read Sections 1.1 and 1.4/2.1 and 2.4
You should have completed the open-book, untimed quiz on Vista that’s due by 9PM the day before class.
(You are responsible for ensuring that you have submitted the quiz by 9PM!)
33Readings: 3rd ed in black/4th ed in red
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Some Things to Try...
(on your own if you have time, not required)
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What Works is NOT Always Obvious
Let’s try out what we’ll call the “Radix” Algorithm. General form:
1. Put all items together in a list in order
2. Make an empty list for each possible value of each “digit” in the items (or letter in a word, etc.).
3. For each digit of the items in the main list, starting with the rightmost digit:
a) For each item in the main list, in order: Put it at the back of the list indicated by the current digit in that item
b) For each digit list, in order: Put the list at the back of the main list.
What does this do?How does it work?
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What Doesn’t Work isNot Always Obvious (1 of 2)
Class Main { public static void main(String[] args) { // Let's add up 4 quarters. System.out.println("4 quarters gives us:"); System.out.println(0.25 + 0.25 + 0.25 + 0.25);
// Let's do something a hundred times. int i = 100; do { // Make i one smaller. i--; } while (i > 0);
System.out.println("Done!"); System.out.println("i ended up with the value: " + i); System.out.println("It went down by: " + (100 - i)); }}
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What Doesn’t Work isNot Always Obvious (2 of 2)
Class Main { public static void main(String[] args) { // Let's add up 10 dimes. System.out.println("10 dimes gives us:"); System.out.println(0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1); // Let's try do something a hundred times.. // but accidentally go forever int i = 100; do { // Make i one LARGER. Oops! i++; } while (i > 0);
System.out.println("Done!"); System.out.println("i ended up with the value: " + i); System.out.println("It went down by: " + (100 - i)); }}
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Even Bigger Story:“Clear Thought”
Computer Science is the science of “clear thought”, but not like philosophy (or religion, or poetry, or...).
CS is the science of thoughts so clear in their expression and intent that we can realize them: execute them or test their truth in the world.
CPSC121 provides and applies the fundamentals you need to model the world with “clear thought”.
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