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Fall 2009
College of
Business
For Additional Course Materials, login to the
Blackboard Learning System čhttp://my.oregonstate.edu/
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Instructor: |
Ping-Hung
Hsieh |
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Office: |
Bexell
402 |
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Office
Phone: |
737-6060 |
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E-mail: |
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Office
Hours: |
Monday
1:30 – 2:30 P.M. Tuesday
9:30 – 10:30 A.M. Wednesday
9:00 – 10:00 A.M. |
This course offers
an in-depth discussion on advanced quantitative methods most relevant to
business students. Topics may include
regression analysis, time series and forecasting, design of experiments,
simulations, decision analysis, survey data analysis, data mining and
computationally intensive statistical methods.
This project-oriented
quantitative course enables students to apply advanced quantitative methods to
projects that are related to their functional disciplines. The selected topics will be highly integrated
to enhance student learning in their perspective business field.
Upon completion of this
course, students will be able to
§
state the
purposes of the selected quantitative methods with respect to their own field,
§
examine business problems
from a quantitative angle,
§
apply the
appropriate quantitative methods to perform computer-assisted analysis,
§
interpret the
results of analyses and communicate those results to a non-statistical
audience.
BA 276 or
equivalent. Available to Business Majors
only.
·
Anderson/Sweeney/Williams/Churchill/Iacobucci, Applied Quantitative
Methods (required).
·
CengageNow access code (required).
Blackboard and CengageNow
(CNOW) Accounts
·
Access your Blackboard account for course announcements/information/documents.
·
Read the instruction on page 4 of this document to set up a CNOW
account. You need this account for
online assignments. Enter the “Course
Key” E-5BX5YGG626YDV after you have
set up the account to enroll into BA 376.
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Review Assignment |
10 |
BA 276 Review |
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Online Assignments |
40 |
(4 online assignments at 10 points each.) |
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Group Projects |
40 |
(4 group projects at 10 points each.) |
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Midterm Examination |
50 |
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Final Examination |
50 |
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Attendance/Participation |
10 |
1 point deduction for each class missed. |
Grades will be assigned based on the
following scale:
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182.00 – 200.00 = A |
180.00 – 181.99 = A minus |
178.00 – 179.99 = B plus |
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162.00 – 177.99 = B |
160.00 – 161.99 = B minus |
158.00 – 159.99 = C plus |
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142.00 – 157.99 = C |
140.00 – 141.99 = C minus |
138.00 – 139.99 = D plus |
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122.00 – 137.99 = D |
120.00 – 121.99 = D minus |
Below 121.99 = F |
1.
You are expected to adhere to the
2. Students are expected to be
honest and ethical in their academic work.
Academic dishonesty is defined as an intentional act of deception in one
of the following areas:
You will
receive F as your final class grade if I find any evidence of dishonesty
regardless of severity. You will,
however, have the opportunity to appeal to my decision.
3. The goal of
4. Accommodations are collaborative efforts
between students, faculty and Disability Access Services (DAS). Students with
accommodations approved through DAS are responsible for contacting the faculty
member in charge of the course prior to or during the first week of the term to
discuss accommodations. Students who believe they are eligible for
accommodations but who have not yet obtained approval through DAS should
contact DAS immediately at 737-4098.
5. Review and Online
Assignments: No access to the assignments after the
deadline. You are expected to work on
these assignments by yourself. You may
not give or receive help from any other person.
6. Group Projects: Do not miss the
deadline. Must work in a group of 2 to 4
members.
7. Midterm Exam: No make-up exams will be
given and the student will receive zero points on the exam missed unless the
instructor is notified in advance
and an acceptable written excuse or official verification is presented prior to
rescheduling the exam.
8. Final Exam: Due to my travel
schedule, there will be no make-up final exam.
You will receive zero points if you miss the exam for ANY reason.
CLASS SCHEDULE
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Week |
Date |
Important Dates |
Text |
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Qualitative Data Analysis |
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1 |
Sep 28 |
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· Review BA 276 Statistical
Inference on Population Proportion · Chapter 10.4 · Chapter 12.1 and 12.2 |
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2 |
Oct 5 |
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3 |
Oct 12 |
·
Due: BA276 Review Assignment |
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Analysis of Variance |
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4 |
Oct 19 |
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Due: Online Assignment 1 ·
Due: Group Project 1 |
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Review BA 276 Statistical Inference on Population Mean ·
Chapter 10.1 and 10.2 ·
Chapter 13.1, 13.2, and 13.3 |
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5 |
Oct 26 |
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6 |
Nov 2 |
·
Midterm Examination (60-minute, in class) |
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Simple Linear Regression Analysis |
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7 |
Nov 9 |
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Due: Online Assignment 2 ·
Due: Group Project 2 |
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Ch 14.1 ·
Ch 14.2 (learn the notation, not formulas) ·
Ch 14.3 – Ch 14.6 ·
Ch 14.8 – Ch 14.9 |
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8 |
Nov 16 |
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Multiple Linear Regression Analysis |
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9 |
Nov 23 |
·
Due: Online Assignment 3 ·
Due: Group Project 3 |
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Chapter 15.1 – 15.8 |
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10 |
Nov 30 |
·
Due: Online Assignment 4* ·
Due: Group Project 4** |
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11 |
Dec 7 |
·
Final Exam (Monday, Dec 7, 2009, 7:30 – 9:20A.M.) |
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Final examination will be comprehensive but with more emphasis on the
topics covered after the midterm examination. |
1. BA 276 review
assignment and Assignments 1- 3 are
due at 8:00A.M. Monday of the week specified above. Group
Projects 1 – 3 are due at the beginning of the class on the specified
dates. *Assignment 4 is due at 5:00PM,
Friday, December 4, 2009 and **Group
Project 4 is due at my office before 5:00PM, Friday, December 4, 2009.
2. You have unlimited attempts for each online assignment
before the deadline. The BEST score
will be recorded.
3. Technical problems do occur (e.g., lost internet
connection in the middle of a session) and you may lose the answers you have
entered. Hence, I would suggest that
CengageNow
Quick Start Guide
Part 1.
First Time User Registration
Part 2.
Returning User Sign-In
Part 3.
Enroll to BA 376 and Take Online Assignments
·
“Course Key” is E-5BX5YGG626YDV
