Krannert School of Management
MGMT306-0601: Management Science (Fall 2002)
Fall 2002 Weeks 1-16
(3 - 3)
Lecture:TR 4:30-5:45 in KRAN G018
Course Professors & Admins
The field of management science focuses on the
formulation, analysis, and implementation of quantitative methods to
support effective management decision making. This course will
introduce you to mathematical modeling, solutions of models, and
interpretation of results. Policies and
This course will particularly
emphasize the "art" of formulating decision problems as optimization
models. The student will be required to formulate, solve, and interpret
optimization models for applications from various areas of management
including operations management, marketing, accounting and
participation is crucial for learning the course content and for keeping
in pace with the class progress.
1) You should be prepared for
each class and should try to contribute to class discussions. Active and
cooperative learning will be encouraged. During the lecture, you are
expected to answer/raise questions, and participate in small-group
activities such as modeling and solving problems, and interpreting
2) You should read the assigned sections from the
textbook and any other course material, such as case problems, that is
posted on Catalyst.
3) Attendance will be taken on randomly
selected class dates and will constitute part of your participation
You will apply the
concepts learnt in class to a variety of problems. You will formulate,
solve and analyze models with the help of the Excel Solver. The
assignments have been taken from the textbook (Anderson, Sweeney and
Williams) unless specified otherwise.
Homework assignments must
be prepared individually or in a group of two students from the same
section. Only one report must be submitted for the group.
All assignments should be prepared professionally. Every assignment must
include your (and your partners) name and section time. Computer results
should be neatly displayed. Unorganized, illegible, or incomplete
assignments will not be graded.
2) Homeworks will be due on
Thursdays of the designated week specified in the outline. They have
already been posted on Catalyst. However, they may be altered until the
Thursday of the previous week. Late assignments will not be
3) Homework solutions will be posted on the course
web page on the following Friday morning. The lowest homework grade will
Short, 10 to 15 minute
quizzes will be given periodically throughout the semester on the
Tuesdays in the designated weeks specified in the outline
quiz will be based on the material covered in the previous homework and
will mostly emphasize recently discussed material.
will be closed book and notes. Each student will be allowed a single
sheet (8.5” x 11”, double sided) of hand-written notes for each quiz.
Auxiliary tables and formulas will only be included if required.
3) No make-up quizzes will be given.
4) Quiz solutions will be
posted on the course calendar on the following Wednesday morning. The
lowest quiz grade will be dropped
You will apply the concepts learnt in class to a
real-life case problem. You will work in a group of four (at least
three) students (from the same section) and analyze the case in two
parts. Each group must submit a case report for each part.
The reports must be prepared in a professional manner and must include
all the students’ name and section time. Computer results should be
attached in a neat and informative manner as an appendix. Unorganized,
illegible, or incomplete assignments will not be graded.
The reports will be collected at the beginning of the class, on November
7th and 26th respectively. Late reports will not be accepted.
3) Your case grade will depend on the evaluation of your contributions
by your team members and on the report
Two evening exams and a
final exam will be administered as scheduled in the course outline.
Examinations will be closed book and notes.
1) Each student
will be allowed a single 8.5” x 11” sheet of handwritten “crib”
notes for the evening examination. Three such sheets of crib notes will
be allowed for the final exam. No photocopies or computer printouts will
2) No make-up exams will be given unless required
by Purdue University policies. Students who are eligible for a make-up
exam or need extra time must contact the instructor at least one week
prior to the exam date.
following elements of your coursework will be used to evaluate your
performance in MGMT 306:
Case Reports 5%
In-class Quiz 15%
Examination 1 (Oct. 2,
Examination 2 (Nov. 12, 2002) 20%
We expect and encourage students to discuss
readings, computer exercises, homework exercises, and other course
content with their classmates. Such discussions constitute a valuable
aspect of the student's own learning experience. However, all work
counted towards the students’ grade, including the homework exercises,
case reports, quizzes, and examinations must be prepared/answered solely
by the individual student or the group members submitting it.
Photocopied homework solutions and/or computer printouts will not be
accepted. In addition, students are expected to prepare homework and
other instructional materials without using materials or advice from
students who have taken the course previously.
and quizzes will be closed book and notes. Auxiliary tables and formulas
will be included if deemed necessary by the course coordinator. However,
each student will be allowed a single 8.5” x 11” sheet for each quiz
and evening examination and three such sheets of handwritten "crib"
notes for the final exam (no photocopies or computer printouts).
Cheating in any form will not be tolerated. Any student caught cheating
will be censured in full accordance with Purdue University policies.
Students are strongly recommended to read the academic integrity guide
published by the Office of the Dean of Students at http://www.purdue.edu/odos/administration/integrity.htm.
Text Books, Cases, and Readings
Chapters from Contemporary Management Science|
Sweeney and Williams|
Included below is the tentative schedule for Fall 2002. For
attachments you need to log into
|Tuesday: Aug, 20
|Reading:||Course Introduction -
| ||Attached word file contains detailed
|Reading:||Chapter 1 Handout|
|Thursday: Aug, 22 2002|
|Class Topic:||Chapter 2
|Tuesday: Aug, 27
| ||6:30-7:30pm, UNIV 117. |
Karthik, will answer your questions on HW1 and solve example
|Thursday: Aug, 29
Topic:||Chapter 3: Handout|
|Class Topic:||Excel files for Chapter
| ||The excel
files for Example 1, Olympic Bike and Make/Buy Examples in Chapter 3 are
|Thursday: Sep, 05
|Assignment Due:||HW 1 and its solution|
|Tuesday: Sep, 10 2002|
|Quiz:||Quiz 1 and
| ||Topics: Graphical Solution Method for
| ||6:30-7:30pm, UNIV 117. |
Karthik, will answer your questions on HW2 and solve example
Topic:||Chapter 4 Handout|
|Thursday: Sep, 12 2002|
1) Answer all 7
questions from the case problem
2) Note the change to the seventh
part in attached word document
3) Plot Radio ads on y-axis and TV ads
4) All explanations should be based on LP knowledge
5) Use the original problem data for addressing part v.
It is recommended that you use graph paper and draw accurately
This problem is to be solved graphically, not using
Topic:||Excel lab session|
| ||Using the excel solver for linear
programming and sensitivity analysis, Lab I/Lab II 7th Floor. Excel
files updated on Wednesday 12:30PM|
|Tuesday: Sep, 17 2002|
| ||Topics: LP sensitivity by
|Thursday: Sep, 19
|Assignment Due:||HW 3|
- Question 1: Answer
all of parts a,b,c,d,e using the Excel Solver outputs.
- Question 2:
Answer all of parts a,b,c using the Excel Solver outputs.
3: Write only the LP formulation. Do NOT answer parts
|Tuesday: Sep, 24
| ||Topics: LP modeling|
|Wednesday: Oct, 02 2002|
| ||7:00PM - 8:30
|Thursday: Oct, 17
Topic:||Lab Session II|
| ||Using Excel solver for Integer Programming
|Thursday: Oct, 24
|Assignment Due:||HW 4|
|Tuesday: Oct, 29 2002|
| ||Topics: IP
|Thursday: Oct, 31
|Assignment Due:||HW 5|
|Tuesday: Nov, 05 2002|
| ||Topics: Network
|Thursday: Nov, 07
|Assignment Due:||Case Report 1|
|Tuesday: Nov, 12 2002|
|Thursday: Nov, 21 2002|
|Tuesday: Nov, 26
| ||Topics: Project
Due:||Case Report 2|