BSAD 30, Spring 2016
TENTATIVE Lecture Schedule
(subject to change)
Last Day to Drop – Monday, 2/1
Last Day to Withdraw – Monday, 4/1
Date
Topic / Discussion
Reading and important links
(read and view BEFORE
class)
1/19, TU
1. Introduction to course: discussion of
objectives, course admin, syllabus, and
schedule
Cengage online Tech Support
for BSAD 30
Installing the Data Analysis
Toolpak (we are using Excel
2013 add-ins extensively in this
class)
1/21, TH
1/26, TU
1/28, TH
2. Lecture 1 (pptx, pdf): Overview of Problem
Solving and Decision Making
3. Lecture 2 (pptx, pdf): Introduction to
probabilities
4. Lecture 3 (pptx, pdf): Probability
distributions (discrete)
HW Assignments
(Cengage Now site)
To purchase course
material:
Book + CNOW access
After purchasing the
course material you
MUST register for your
section:
If you are a MAC user and do
not have Excel 2013 installed,
CNOW Section A
you should see Matt Parisi in
227 Kalkin immediately
CNOW Section B
Chap 1 (2-16)
Chap 2 (25-49)
Chap 3 (62-75) 3.1 – 3.4
HW #1 (Chap 1 & 2)
Due at NOON on TH!
Quiz 1A solutions
Quiz 1B solutions
2/2, TU
2/4, TH
2/9, TU
2/11, TH
5. Lecture 4 (pptx, pdf): Probability
distributions (continuous)
6. Lecture 5 (pptx, pdf): Decision analysis
(with and without probabilities)
7. Lecture 6 (): Decision analysis review and
summary
8. Lecture 7 (Excel functions): Basic MS Excel
functions (IF, VLOOKUP, INDEX, PMT)
Excel functions template (an Excel file)
2/16, TU
2/18, TH
2/23, TU
A LAPTOP IS REQUIRED FOR THIS CLASS
9. Lecture 8 (data analysis exercise): Basic MS
Excel operations (download data from
network, format data, basic descriptive
statistics, histograms, and simple plots
A LAPTOP IS REQUIRED FOR THIS CLASS
10. Lecture 9 (linear regression exercise):
Basic linear regression in Excel
A LAPTOP IS REQUIRED FOR THIS CLASS
11. In-class test #1
Chap 3 (76-92) 3.5 – 3.7
Chap 4 (104-121) 4.1 – 4.4
HW #2 (Chap 3)
Due at NOON on TU
We will be working from the
Excel functions template in
class.
You need to download the
template to your hard drive
BEFORE class
Data
You will be downloading this
file for use in class. Please do
this BEFORE class
You should have
already installed data
analysis Tool Pak in Excel
2013 (see hotlink for
instructions, 1/19)
Material is NOT in book
Data
HW #3 (Chap 4)
Due at NOON on TH
2/25, TH
3/1, TU
3/3, TH
3/8 3/10
3/15, TU
3/17, TH
3/22, TU
3/24, TH
3/29, TU
12. Lecture 10 (): Time series analysis and
forecasting (moving average and weighted
moving average)
No Class – Town Hall meeting day
13. Lecture 11 (): Time series analysis and
forecasting (exponential smoothing and
seasonality with trends)
No Class – Spring Break
14. Lecture 12 (): Introduction to linear
programming (LP) (formulate a basic
maximization LP and solve graphically)
(interpretation: slack variables and computer
solution using MS Solver)
A LAPTOP IS REQUIRED FOR THIS CLASS
Excel Solver template for in-class example
15. Lecture 13 (): LP minimization problem
(formulate problem + graphical solution)
(interpretation: surplus variables and
computer solution using MS Solver)
A LAPTOP IS REQUIRED FOR THIS CLASS
Excel Solver template for in-class example
16. Lecture 14 (): Introduction to LP sensitivity
analysis, discuss slack and surplus
Excel Solver template for in-class example
17. Lecture 15 (): LP sensitivity analysis
continued and special cases: alternative
optimal solutions, unbounded solutions,
infeasible solutions
Excel Solver template for in-class example
18. Lecture 16 (): LP applications. We will look
at some different types of uses for LP
Chap 6 (196-211) 6.1-6.2
Chap 6 (211-230) 6.3-6.5
Chap 7 (250-271) 7.1 - 7.4
HW #4 (Chap 6)
Chap 7 (271-276) 7.5
Chap 8 (309-323) 8.1-8.4
HW #5 (Chap 7)
Chap 7 (276-282) 7.6-7.7
Chap 8 (323-335) 8.5–8.6
Excel Solver template for in-class example
3/31, TH
19. Lecture 17 (): LP applications.
Chap 9 (363-377) 9.1-9.2
HW #6 (Chap 8 and 9)
Excel Solver template for in-class example
4/5, TU
4/7, TH
4/12, TU
4/14, TH
4/19, TU
20. In-class test #2
21. Lecture 18 ():Transportation and supply
chain problem
22. Lecture 19 ():Assignment problem
23. Lecture 20(): Shortest-route problem
24. Lecture 21 ():Discussion of alternative
approaches to sensitivity analysis
Chap 10 (425-438) 10.1
Chap 10 (440-443) 10.2
Chap 10 (445-448) 10.3
HW #7 (Chap 10)
4/21, TH
4/26, TU
4/28, TH
25. Lecture 22 (): PERT/CPM
26. Lecture 23 (): PERT/CPM: Addressing
uncertainty
27. Lecture 24 (): PERT/CPM: Time-cost tradeoffs and using LP
Chap 13 (593-601) 13.1
Chap 13 (602-611) 13.2
Chap 13 (611-617) 13.3
5/3, TU
28. Review for Final Exam
HW #8 (Chap 13)
Final
Exam
Comprehensive Final Exam (inclass)
Section A: In-class in Kalkin
325 on Tuesday, 5/10 from
1:30 – 4:15 PM
Please keep in mind that I cannot
arbitrarily reschedule final exams
or move the exam time. The exam
schedule follows the UNIVERSITY
exam schedule
Section B: In-class in Kalkin
001 on Monday, 5/9 from
10:30 AM – 1:15 PM
I cannot reschedule exams
for any reason other than
UVM approved policies!