#
Last Name
Quiz 1
Quiz 2
Quiz 3
Group Project
Midterm Exam
Final Exam
Course Grade
Course Letter Grade
Is my Course Grade the highest?
Average Course Grade
Webber
90
92
95
100
91
98
Err:508
A
No!
Bonitto
100
95
100
85
98
99
Err:508
A
Pooley
Stanish
80
80
#
Last Name
Quiz 1
Quiz 2
Quiz 3
Group Project
Midterm Exam
Final Exam
Course Grade
Course Letter Grade
Is my Course Grade the highest?
Average Course Grade
Webber
90
92
95
100
91
98
Err:508
A
No!
Bonitto
100
95
100
85
98
99
Err:508
A
Pooley
Stanish
80
80
Alison Keegan
Organizational Behavior
23 March 2017
Chapter 11 Assignment
1. Define leadership and shared leadership.
Leadership is defined as the ability to influence, motivate, and enable others to contribute toward
the effectiveness and success of the
Alison Keegan
Organizational Behavior
21 March 2017
Chapter 10 Assignment
1. Define conflict and debate its positive and negative consequences in the workplace.
Conflict is the process in which one party perceives that its inters are being opposed or
nega
Alison Keegan
Organizational Behavior
4 April 2017
Chapter 14 Assignment
1. Describe the elements of Lewins force field analysis model.
Lewins force field analysis model states that all systems have driving and restraining forces.
Change occurs through th
Syllabus Assignment
Instructions: Provide a short response following each of these questions.
Make sure to start your response for each on the line below the question marked
with the prompt ANSWER: Your answers will then appear in black, Times New
Roman f
Ariel Reese
Assignment 1 (ECC28 Review)
7/9/16
2. The intangible components of a computer system, including the programs, are called?
A- Software
4. What part of the computer is responsible for executing instructions to process information?
B- Processor
6
Dynamic Programming
Sequence of decisions.
Problem state.
Principle of optimality.
Dynamic Programming Recurrence
Equations.
Solution of recurrence equations.
Sequence Of Decisions
As in the greedy method, the solution to a
problem is viewed as the resu
Tournament Trees
Winner trees.
Loser Trees.
Winner Trees
Complete binary tree with n external
nodes and n - 1 internal nodes.
External nodes represent tournament
players.
Each internal node represents a match
played between its two children;
the winner of
Balanced Binary Search Trees
height is O(log n), where n is the
number of elements in the tree
AVL (Adelson-Velsky and Landis)
trees
red-black trees
find, insert, and erase take O(log n)
time
Balanced Binary Search Trees
Indexed AVL trees
Indexed re
Union-Find Problem
Given a set cfw_1, 2, , n of n elements.
Initially each element is in a different set.
cfw_1, cfw_2, , cfw_n
An intermixed sequence of union and find
operations is performed.
A union operation combines two sets into one.
Each of t
Stacks
Linear list.
One end is called top.
Other end is called bottom.
Additions to and removals from the top end
only.
Stack Of Cups
top
top
F
E
D
D
C
C
B
bottom
E
B
A
bottom
Add a cup to the stack.
Remove a cup from new stack.
A stack is a LIFO list.
Queues
Linear list.
One end is called front.
Other end is called rear.
Additions are done at the rear only.
Removals are made from the front only.
Bus Stop Queue
Bus
Stop
front
rear
rear
rear
rear
rear
Bus Stop Queue
Bus
Stop
front
rear
rear
rear
Bus Stop
Data Compression
Reduce the size of data.
Reduces storage space and hence storage cost.
Compression ratio = original data size/compressed data size
Reduces time to retrieve and transmit data.
Lossless And Lossy Compression
compressedData = compress(o
Trees
Nature Lovers View Of A Tree
leaves
branches
root
Computer Scientists View
root
leaves
branches
nodes
Linear Lists And Trees
Linear lists are useful for serially ordered data.
(e0, e1, e2, , en-1)
Days of week.
Months in a year.
Students in thi
FaaDoOEngine
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Engaging Peers, Inspiring Careers!
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Re s ume s /CVs ,ands omuc
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Computer - Hardware
ers.com
Engaging Peers, Inspiring Careers!
Key board
Mouse
Input
Storage
Area
Program Storage Area
Working Storage Area
Output
Storage
Area
Input Devices
Monitor
Printer
Output Devices
Primary or Main Memory (RAM)
Register
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FaaDoOEngine
Modularizing anders.com through Functions
Reusing of code
Engaging Peers, Inspiring Careers!
Calculation of area of Circle is separated into a separate module from Calculation of area of
Ring and the same module can be reused for multiple tim
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EBOOKS
Re s um
Dynamic Programming
Steps.
View the problem solution as the result of a sequence
of decisions.
Obtain a formulation for the problem state.
Verify that the principle of optimality holds.
Set up the dynamic programming recurrence
equations.
Solve these equ
Hard Problems
Some problems are hard to solve.
No polynomial time algorithm is known.
E.g., NP-hard problems such as machine scheduling,
bin packing, 0/1 knapsack.
Is this necessarily bad?
Data encryption relies on difficult to solve
problems.
Crypto
Single-Source All-Destinations
Shortest Paths With Negative Costs
Directed weighted graph.
Edges may have negative cost.
No cycle whose cost is < 0.
Find a shortest path from a given source vertex
s to each of the n vertices of the digraph.
Single-Source
Matrix Multiplication Chains
Determine the best way to compute the
matrix product M1x M2 x M3 x x Mq.
Let the dimensions of Mi be rix ri+1.
q-1 matrix multiplications are to be done.
Decide the matrices involved in each of
these multiplications.
Decis
Backtracking And Branch And Bound
Subset & Permutation Problems
Subset problem of size n.
Nonsystematic search of the space for the answer takes
O(p2n) time, where p is the time needed to evaluate
each member of the solution space.
Permutation problem
All-Pairs Shortest Paths
Given an n-vertex directed weighted graph,
find a shortest path from vertex i to vertex j
for each of the n2 vertex pairs (i,j).
1
7
2
5
1
9
3
7
6
9
5
4
1
8
4
2
5
4
16
1
2
4
7
Dijkstras Single Source Algorithm
Use Dijkstras algo