Quantitative Analysis for Decision-Making

Graduate Course Syllabus

QSO 510: Quantitative Analysis for Decision-Making

Center: Online

Course Prerequisites

6 Credit hours in Mathematics and 3 Credit hours in Statistics or equivalent

Course Description

This is a survey course in quantitative analysis techniques used to support decision-making. It draws its concepts from such disciplines as mathematics, statistics, production, marketing, finance, economics, and decision theory.

Course Outcomes

 To provide students with a basic understanding of several quantitative techniques used extensively for decision making in business

 To enable students to recognize problem areas in their professional responsibilities and to apply the appropriate quantitative methods for obtaining rational solutions

 To increase the student's effectiveness in communicating with other specialists in the firm such as industrial engineers, production managers, operations researchers, statisticians, and other problem solving and decision-making persons

 To enable students to use the power of the spreadsheets in the application of the quantitative techniques

Required Materials

Data Analysis & Decision Making (A/ Bind-in Access Card) Albright South-Western College Pub 4th Edition

2011 9780538476126

Instructor Availability and Response Time

Your class interaction with your instructor and your classmates will take place in Blackboard on a regular, ongoing basis. Your instructor will be active in Blackboard at least five days a week, and you will normally communicate with your instructor in the open Blackboard discussion forum so that your questions and the instructor's answers benefit the entire class. You should send emails directly to your instructor only when you need to discuss something of a personal or sensitive nature, and in those cases your instructor will generally provide a response within 24 hours.

P a g e | 1 Syllabus Last Updated 8/5/2013

Grade Distribution

This course may also contain practice activities. The purpose of these non-graded activities is to assist you in mastering the learning outcomes in the graded activity items listed above.

Assignment Category

Number of

Point Value

Total Points

Graded Items

per Item

Homework Discussion Final Exam

10 11 1

35 20 430

350 220 430

Total Course Points:

1000

University Grading System: Graduate

3.00

rade must complete a Student Petition and

mit it to the proper offices prior to the final day of the term/semester. completed. The incomplete automatically

been submitted by the specific deadline.

830 869

Total Points: 1000

Grade Numerical Equivalent Points Points Equivalent

*Incomplete and Incomplete/Failure: Any student requesting an "I" g

Contract for a Grade of Incomplete and sub

A

The

93-100 4.00 930 1000

petition will specify a deadline by which the coursework must be

A-

B+

B

B-

C+

90-92 3.67 900 929

becomes an "IF" if work has not been completed and a grade has not

87-89

3.33 870 899

Grading Guides

83-86

Specific activity directions and

80-82

Guidelines and Rubrics folder.

77-79

2.33

770

799

C

73-76

2.00

730

769

Weekly Assignment Schedule

F 0-72

0.00

0

729

I The

Lower Upper

grading guides can be found in the Course Information area in the Assignment

2.67 800 829

LIneacronminpgleMteodules area in Blackboard contains one module folder for each week of the course. All reading and

IF assigInmcoemntpinlefoter/mFatiliuonrecan be found in the folders. All assignments are due by 11:59 p.m. EST on the last day of

W Withdrawn

the module week.

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In addition to the textbook readings that are listed, there may be additional required resources within each module in Blackboard.

Module Topics and Assignments

1 Icebreaker Activity (Required)

Getting Started Reading: Data Analysis and Decision Making, Chapter 2 Discussion: Module One Questions Discussion: Descriptive Statistics Assignment: Symbols, Subscriptions, Equations and Diagrams Assignment: Statistics Fundamental Review Homework: Problem Set

2 Sampling