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HOMEWORK ASSIGNMENTS AND REQUIRED READING
These problems are for your benefit and not to be turned in. No points are given for homework. The
assignments listed below are the minimum number of problems to be attempted for achieving understanding
of the top
The following problems are a sample of what may be on your Test 3.
These problems do not constitute all questions and/or problems on
Test 3.
1. A low-handicap golfer who uses Titleist brand golf balls observed that his average drive is
230 yards and the s
Scheduling Orders For One Dozen Cookies
More
o e deta
detailed
ed cchart.
a t Mixing
ga
and
d spoo
spooning
g have
a e bee
been sepa
separated
ated (matters
atte s
only for orders larger than a dozen). Kristen, Friend included.
Orders come every 10 minute
Chapter 4: Basic Probability
Chapter Goal:
Explain basic probability concepts and definitions
Use contingency tables to view a sample space
Apply common rules of probability
Compute conditional probabilities
Determine whether events are statisticall
Hypothesis Tests
Steps and Notation
(1-Sample)
STEP 1, Null and Alternate Hypotheses
State the
Null Hypothesis
H0 :
and
Alternate Hypothesis
Ha :
STEP 1, Null and Alternate Hypotheses
The Null Hypothesis is
what we assume.
We will try to reject this
assum
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 2
1. In this problem, we will compare digital signatures (DS),
which are essentially message authentication codes generated
by public-key/private-key cryptography), w
JINDAL SCHOOL OF MANAGEMENT
UNIVERSITY OF TEXAS AT DALLAS
MIS 6330
Information Technology Security
FINAL EXAMINATION
PROFESSOR A. LAHIRI
December, 2015
[Time: 1 hour 30 minutes, 80 points]
There are EIGHT questions. You are expected to answer ALL of them.
SAMPLE FINAL EXAM
MIS 6330 Prof. Atanu Lahiri
[No. of pages including this page is 6 - Check your set to make sure it has them all.]
1. Consider the following C code. Identify a vulnerability of this code and suggest
a countermeasure accordingly.
printf("
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 3
1. Describe the following terms: (a) offline dictionary attack and
(b) rainbow table attack.
2. You have received information that firms similar to yours are
experi
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 4
1. Typical finger-print verification systems employed by FBI
achieve 90% probability of verification at 1% false accept rate
but only 77% probability of verificatio
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 7
1. Trace the path to a utdallas.edu (using tracert utdallas.edu
command). Cut and paste the output into your writeup. Based
on the writeup, how many times does each
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 5
1. Based on what we have learned about software vulnerability
and injection/ overflow attacks, what do you think is the major
difference between testing programs fo
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 8
1. Compare the following firewall topologies: Double Bastion T
vs. Double Bastion Inline. What are their main differences
from a security managers perspective? Whic
Univerisity of Texas at Dallas
MIS 6330: IT Security
Prof. A. Lahiri
Individual Homework 6
1. Define the terms buffer overflow and stack overflow. What are
the potential consequences of a buffer/stack overflow
occurring?
2. Search internet for articles on
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content="0;url=/search?
q=statistics+symbols&tbm=isch&sa=X&espv=2&biw=1536&bih=710&gb
v=1&sei=H6tDWIX_E8POjwTOzauYAQ"
6/18/2015
1
MODULE 2 PART 1:
FAST FASHION
OPRE 6341 Retail Operations
Learning objectives
Presenting the main challenges and players of today's
apparel retail industry
Defining the concepts of fast fashion and quick response
Presenting the philosophy of
12/2/2015
MODULE 3 PART 2:
INVENTORY MANAGEMENT
OPRE 6341 Retail Operations
1
Case study Paper and More
Harvard Business Case
Written by N. Watson
Set in 1994
2
1
12/2/2015
Original problem (PM version 1)
The product is non-perishable
In case of a st
12/2/2015
MODULE 3 PART I:
INVENTORY MANAGEMENT
OPRE 6341 Retail Operations
Learning objectives
Understanding the tradeoffs of inventory management
Comparing the management of inventory when
unsatisfied demand is lost or backordered
Comparing the manag
6/18/2015
MODULE 4 PART 2:
INVENTORY INACCURACY
AND STOCK-OUTS
OPRE 6341 Retail Operations
Outline
Article: Execution: the Missing Link in Retail Operations
Inventory record inaccuracy and misplaced items
Article: Desperately Seeking Shelf Availability
6/18/2015
MODULE 1 PART 1:
INTRODUCTION TO RETAIL
OPRE 6341 Retail Operations
Learning objectives
Defining retail and presenting some key figures
Explaining why it important to study retail
Defining some important terminology
Presenting who are the bi
Course Syllabus
OPRE 6341.0W1 Retail Operations
Naveen Jindal School of Management
The University of Texas at Dallas
(last update: 10 August 2016)
Course Information
Course Number/Section
Course Title
Term
OPRE 6341.0W1
Retail Operations
Fall 2016
Profess
12/2/2015
MODULE 5 PART 2
CONSUMER BEHAVIOR
OPRE 6341 Retail Operations
Outline
Consumer choice models:
Ranking-based model
Multinomial logit model
Locational choice model
Exogenous demand model
Model from Fisher and Vaidyanathan
Vertical different
12/2/2015
MODULE 4 PART I:
INVENTORY INACCURACY
AND STOCK-OUTS
OPRE 6341 Retail Operations
Learning objectives
Introducing the concept of inventory record inaccuracy
and its consequences on the revenues and profits of
retailers
Showing that the issue is
6/18/2015
MODULE 5 PART I
CONSUMER BEHAVIOR
OPRE 6341 Retail Operations
Learning objectives
Defining consumer choice models and product
differentiation
Showing how to predict consumer choice using 6 different
consumer choice models
Showing how to estimat
6/18/2015
MODULE 2 PART 2:
FAST FASHION
OPRE 6341 Retail Operations
Outline
Analysis of the benefits of a quick response system
Well use a spreadsheet model to illustrate the main tradeoffs
involved
See ZaraExcelPost.xlsx
2
1
6/18/2015
Assumptions
Zar
Special Extra Credit:
There are some things that you can add to our class, the first thing is take attendance
because that will make all students come to class and make them listen to everything and
take notes, so they will not have any problems when they
OPRE 6301/SYSM 6303
Quantitative Introduction to Risk and
Uncertainty in Business
16-1
Chapter Sixteen
Simple Linear Regression and Correlation
16-2
1
Simple Linear Regression
Model
y
x
16-3
Simple Linear Regression
Model
First-Order Linear Model
y 0 1 x