Module Paper (Quantitative and research techniques for leaders) (3 pages)

Course Syllabus

Quantitative Techniques for Managers

 

 

TEXTBOOK

Render, Barry; Stair, Ralph M Jr; & Hanna, Michael E: Quantitative Analysis for Management, 12th edition, including QM for Windows and Excel QM Software Packages, Prentice Hall 2015.

 

COURSE DESCRIPTION

This course examines the role of quantitative research methods in leadership and decision-making.  It requires students to take an analytical view of decision-making by quantifying trade-offs, specifying constraints and allowing for uncertainty.  Students explore the development of models and the role of managerial judgment in assessing the appropriateness of these applications as a basis for leadership decisions.

Prerequisites: Competency in Statistics.

  

Course Objectives

1. Be able to select & use quantitative models for given business scenarios

2. Know how to select data and make quantitative decision calculations

3. Use computer software designed to facilitate quantitative analysis

4. Be able to evaluate quantitative calculation results and recommend solutions

    

Regression Analysis Project

Students will work individually on this project

Please use Excel Data Analysis

Excel Data Analysis is recommended.  Follow the instructions in the text book for adding in Data Analysis to Excel (see Section 4.7 page 124 and Appendix F page 571)

The key skill that will emerge from this course is the ability to take and develop information through regression analysis. The chapters will provide the key information for the development of regression analysis.

The outcome for this assignment will be the development of the following analysis from a data set you have found.

The assignment will include:

1. Bivariate and Multiple regression analysis.

2. Evaluation using the F and t statistics

3. Scattergram analysis

4. Residual chart analysis

5. Discussion and analysis of the slope, y intercept, and regression equation.

6. Discussion of your hypothesis and null hypothesis

Homework

Weekly homework is assigned, and will be done on an individual basis.

*** Please present one document for each homework assignment.

*** If you use QM for windows, please copy (screen prints, hit print screen, open a word session, and then paste while in word) or save as excel file (then combine all into one excel file).  If you do not know how to do a screen shot/print screen, please email me for directions.  

Module Paper

Answer the questions in a well written paper with proper grammar & spelling (Generally 2 to 3 pages).

1. What have you learned in this class? Briefly summarize the course. What are the essential elements you derived from the course? Remember, only include what  you learned !

2. How is this relevant to your workplace/other activities? Can you apply any of the course learning to your life? Do you see any areas you might be able to apply course learning to your immediate future?

3. How does the new learning apply to your strategy/foundation paper? How does the course learning fit in with your basic foundation paper strategic plan? Do you need to reevaluate your original plan? Does the course material help move you toward your final goal? 

DETAILED COURSE SCHEDULE

Dates	Chapter	Topic	Homework
	1	Introduction	See module
	2 (pages 32-52)	Basic Probability Concepts (pages 32-52)	See module
	3	Decision Analysis	See module
	4	Regression Analysis	See module
	4	Regression Analysis - Project	Regression Project Due June 25
	5	Forecasting	See module
	6	Inventory Control	See module
	7	Linear Programming – Graphing	See module
	8	Linear Programming – Applications	See module
	11	Project Management	See module
	12	Waiting Lines & Queuing	See module
	13	Simulation	See module