1
Additional Contributors
Debugging
! None as of August, 2004
Dwight Deugo ([email protected])
Nesa Matic ([email protected])
Confidential Date | EPL Information, if 2005 |
2005 by Espirity Inc.; made available |under theOther v1.0 | Feb 28, necessary
Programming Methodology:
Language Structure and Implementation
CS 220
Outline
Expressed and Denoted values
Binding and assignment
Grammars and Recursive Definitions
Specification of Abstract Data Types
2
Terms: Expressed and Denoted Values
Expressed
Programming Methodology:
Language Structure and Evaluation 2
CS 220
Programming Languages
Software allows us to create an infinite number of machines to
perform tasks.
How much fun is that?
We use a programming language to sculpt these machines.
The e
Programming Methodology:
Recursion, Iteration and Streams
CS 220
Recursion and Iteration
When is recursion really recursion?
When it more like iteration?
Python: supports functional features, but it not a functional language.
Python does not really do r
Programming Methodology:
Closures and Decorators
CS 220
Closures
Closures are expressions that contain a context for an opera5on.
Think of a func5on that can access variables that are not dened in its
scope.
Unlike scope, a closure persists a?er
Programming Methodology:
Intro to Regular Expressions
CS 220
Outline
Regular Expression Description
Finite State Machines
FSM and Regex
Examples of regular expressions and FSM
2
Regular Expressions
A regular expression is composed of:
Symbols (an alp
Programming Methodology:
Referential Transparency and Iterators
CS 220
Outline
Referential Transparency
Iterators and Iterable
A little task
2
Referential Transparency
A context can be said to be referentially transparent if you can
replace all refere
Recap
Sequences of Independent Trials
Binomial Law
Applications
Wrap Up
CMPSCI 240 Lecture 6:
Independent Trials and the Binomial Law
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall 2015
CMPSCI 240
Recap
Conditional Probability
Conditional Laws
Sequential Experiments
Wrap Up
CMPSCI 240 Lecture 4
Conditional Probability Laws
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall 2015
CMPSCI 240 Lectur
Recap
Properties of Probability Laws
Discrete Probability Laws
Discrete Uniform Law
Wrap Up
CMPSCI 240 Lecture 3
Basic Properties of Probability Laws
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall
Sets
Set Operations
Experiments and Events
Probabilistic Models
Wrap Up
CMPSCI 240 Lecture 2
Foundations of Probability
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall 2015
CMPSCI 240 Lecture 2
Benj
How to Write Basic Probability Proofs
Benjamin M. Marlin
September 14, 2013
This supplemental note shows a few dierent ways of writing-up the same basic proof. Well use
the proof that P (Ac ) = 1 P (A) as our example. The rst key in writing proofs is unde
Recap
Total Probability
Bayes Rule
Independence
CMPSCI 240 Lecture 5:
Total Probability, Bayes Rule and Independence
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall 2015
CMPSCI 240 Lecture 5
Benjami
Introduction
Applications of Probability
Examples
Course Logistics
Sets and Elements
CMPSCI 240 Lecture 1: Introduction
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall 2015
CMPSCI 240 Lecture 1
Benj
Recap
Counting
Permutations
k-Permutations
Combinations
Partitions
Wrap Up
CMPSCI 240 Lecture 7:
Counting
Benjamin M. Marlin
College of Information and Computer Sciences
University of Massachusetts Amherst
Fall 2015
CMPSCI 240 Lecture 7
Benjamin M. Marlin
Name: E
CMPSCI 240: Reasoning Under Uncgtainty
Midterm Exam A
Oct. 2, 2013. Start 7:00pm. End 9:00pm.
ID:
Instructions:
Answer the questions directly on the exam pages.
Show all your work for each question. Giving more detail including comments and e
THE SOCIOLOGICAL IMAGINATION: MINI PAPER 1
Ronit Arora,
Professor Noa Milman, PhD,
Sociology 110,
17 February 2015
Option 1: Analyze the Everyday Item Coffee from a Sociological Perspective
The Sociological Imagination, a term introduced by the American S
Programming Methodology:
Immutable Data Structures
CS 220
Outline
Streams
Immutable Data Structures
Markov Chain
Generators
As you know, they can be used to generate infinite
or finite streams of values.
def all_ints_from(i):
while 1:
yield i
i = i + 1
Programming Methodology:
Evaluating an Abstract Syntax Tree
CS 220
Abstract Syntax Tree
Nodes store data about the specific part of the language.
The order of evaluation is conveyed by the trees structure.
(thats why we dont have symbols like parenthesi
Learning Objectives
CMPSCI 220
Programming Methodology
Fall 2012
Students will develop an understanding of
the concept of software quality
! Students will develop an understanding of
the learning objectives for CMPSCI 220
! Students will understand the or
public List<int[]> getThem() cfw_
List<int[]> list1 = new ArrayList<int[]>();
for (int[] x: theList)
if (x[0] = 4)
list1.add(x);
return list1;
_
public List<int[]> getF
Learning Objectives
CMPSCI 220
Programming Methodology
Fall 2012
Students will have an understanding of why
and how to test and debug software
! Students will be able to define unit testing
and distinguish it from other kinds of testing
! Students will kn
Learning Objectives
CMPSCI 220
Programming Methodology
Fall 2012
Students will understand the meaning and
value of design principles and design patterns
! Students will understand the Strategy Pattern
and its associated design principles
! Students will b
Revision: 9/11/2012
Cmp Sci 220: In-class activity for the Strategy Design Pattern:
A simple calculator
How are the Strategy pattern and its associated design principles reflected in the code below?
Take a few minutes to look the code over by yourself. Th
Revision: 9/11/2012
Cmp Sci 220: In-class activity for the Strategy Design Pattern:
A two-dimensional plotting class
Consider the Java classes sketched below, intended for use in plotting two-dimensional graphs
and allowing a variety of styles (points, li
Learning Objectives
CMPSCI 220
Programming Methodology
Fall 2012
Students will understand the role, value and
organization of Effective Java and its ilk.
! Students will be aware of alternatives for
creating Java objects
! Students will know when, why and
Learning Objectives
CMPSCI 220
Programming Methodology
Fall 2012
Students will more deeply understand the
role, value and organization of Effective Java.
! Students will know to minimize accessibility
and mutability, and maximize encapsulation.
! Students
Revision: 9/18/2012
Cmp Sci 220: In-class activity for EJ Item Favor Composition:
Adding various kinds of emphasis to words in text
Below is a sketch of a Java class for processing a stream of text and adding emphasis to those
words that match according t