From charlesreid1

 
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==Section 11.1: Lists==
==Section 11.1: Lists==


===Definitions===
===11.1 Definitions===


Definitions:
Definitions:
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* Abstract data type
* Abstract data type


===Material===
===11.1 Material===


Collection types:
Collection types:
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==Section 11.2: Sets==
==Section 11.2: Sets==


===Definitions===
===11.2 Definitions===


Definitions:
Definitions:
* Set
* Set


===Material===
===11.2 Material===


Set concepts
Sets
* Mathematical concept, and membership
* TreeSet vs HashSet
* Set operators and set operations


Example of set using HashSet
Set example: lottery


TreeSet vs HashSet
==Section 11.3: Maps==
 
===11.3 Definitions===
 
Definitions:
* Maps
 
===11.3 Material===
 
Maps:
* Functions, mapping one set onto another, math/logic connection
* TreeMap vs HashMap
* Map attributes: keys and values
* Map operations
 
Map case study: wordcount
 
==Chapter 11 Summary==
 
===Deliverables===
 
Must be able to:
* Identify major data types (list, map, set)
* Identify what types of algorithms or applications work best for each data type (problem-solving, conceptual grasp)
* Know difference between tree/hash/linked/array/etc all implementations
* Identify correct/incorrect syntax
* Write pseudocode to deal with iteration and indexing and other
* Conditional logic + data containers = data analysis
 
(Which of the following best describes a hash map)
 
(Which of the following best describes a linked list)
 
==Chapter 11 Homework==
 
===HW Questions===


Set operations
(Recommended) Self-check problems: #3, #4, #5, #11, #13, #14, #18, #20


Set case study: Lottery
(Required) Exercises: #1, #7, #11, #14, #18


==Section 11.3: Maps==
(Required) Projects: (none)
 
===HW Details===
 
Self-check:
* 3 - what is an iterator
* 4 - code to count dupes in list
* 5 - insert string into list
* 11 - tree set vs hash set
* 13 - mystery set
* 14 - union and intersection of sets
* 18 - mystery map
* 20 - mystery map
 
Exercises:
* 1 - improve sieve algorithm
* 7 - count common
* 11 - symmetric diff of 2 sets
* 14 - map intersection
* 18 - reverse map
 
Projects:
* None


===Definitions===
==Chapter 11 Code==


Definitions:
===Lecture Code===
* Maps


===Material===
List Collection:
* List brief example: Death Star maintenance to-do
* List detailed example: Number sieve


Basic Map operations
Set Collection:
* Set brief example: Stooges
* Set detailed example: Lottery numbers


Map view (keySet and values)
Map Collection:
* Map brief example: Death Star salary map
* Map detailed example: Word count for Ulysses


TreeMap versus HashMap
===Worksheet Code===


Map case study: WordCount
Seattle Public School data
* Find the answers to the following questions using lists, maps, or sets.
* X Y Z
* Create dictionary of schools and their distance to school X


Collection overview
==Chapter 11 Goodies==


=Chapter 11 Summary=
===Puzzle 4===


==Deliverables==
Nice. Now they have a sieve.


=Chapter 11 Goodies=
Affine cipher, gcd, Euclid's algorithm


==Puzzle 3==
[[Puzzles/Crypto Level 2/Puzzle 4]]


==Profiles==
===Profiles===


=Flags=
=Flags=


{{CSC143Flag}}
{{CSC143Flag}}

Latest revision as of 01:12, 20 September 2016

Chapter 11: Java Collections Framework

Sections:

11.1 Lists

11.2 Sets

11.3 Maps

Section 11.1: Lists

11.1 Definitions

Definitions:

  • Collection
  • Linked list
  • Iterator
  • Abstract data type

11.1 Material

Collection types:

  • Lists
  • Sets
  • Maps

Types of lists:

  • LinkedList versus ArrayList
  • List iterators
  • Abstract data types (ADTs)

LinkedList case study: Sieve

Section 11.2: Sets

11.2 Definitions

Definitions:

  • Set

11.2 Material

Sets

  • Mathematical concept, and membership
  • TreeSet vs HashSet
  • Set operators and set operations

Set example: lottery

Section 11.3: Maps

11.3 Definitions

Definitions:

  • Maps

11.3 Material

Maps:

  • Functions, mapping one set onto another, math/logic connection
  • TreeMap vs HashMap
  • Map attributes: keys and values
  • Map operations

Map case study: wordcount

Chapter 11 Summary

Deliverables

Must be able to:

  • Identify major data types (list, map, set)
  • Identify what types of algorithms or applications work best for each data type (problem-solving, conceptual grasp)
  • Know difference between tree/hash/linked/array/etc all implementations
  • Identify correct/incorrect syntax
  • Write pseudocode to deal with iteration and indexing and other
  • Conditional logic + data containers = data analysis

(Which of the following best describes a hash map)

(Which of the following best describes a linked list)

Chapter 11 Homework

HW Questions

(Recommended) Self-check problems: #3, #4, #5, #11, #13, #14, #18, #20

(Required) Exercises: #1, #7, #11, #14, #18

(Required) Projects: (none)

HW Details

Self-check:

  • 3 - what is an iterator
  • 4 - code to count dupes in list
  • 5 - insert string into list
  • 11 - tree set vs hash set
  • 13 - mystery set
  • 14 - union and intersection of sets
  • 18 - mystery map
  • 20 - mystery map

Exercises:

  • 1 - improve sieve algorithm
  • 7 - count common
  • 11 - symmetric diff of 2 sets
  • 14 - map intersection
  • 18 - reverse map

Projects:

  • None

Chapter 11 Code

Lecture Code

List Collection:

  • List brief example: Death Star maintenance to-do
  • List detailed example: Number sieve

Set Collection:

  • Set brief example: Stooges
  • Set detailed example: Lottery numbers

Map Collection:

  • Map brief example: Death Star salary map
  • Map detailed example: Word count for Ulysses

Worksheet Code

Seattle Public School data

  • Find the answers to the following questions using lists, maps, or sets.
  • X Y Z
  • Create dictionary of schools and their distance to school X

Chapter 11 Goodies

Puzzle 4

Nice. Now they have a sieve.

Affine cipher, gcd, Euclid's algorithm

Puzzles/Crypto Level 2/Puzzle 4

Profiles

Flags