Engineering/Science Management Courses

ESM 620 - Statistics for ESM - Syllabus

(Managerial Statistics)
Fall 2004

Classes: Monday 6:00 – 8:45 pm
Room: Engr 218
Taught by: Adjunct Professor: Gary Kretchik
Contact: (Hm) 245-0458 (Wk) 266-7662 e-mail: gkretchik@juno.com
UAA Blackboard: http://uaaonline.alaska.edu
Office: Pending
Office Hrs: Pending or by appointment (Please call or e-mail to schedule) Before class is good.

Textbook:
Statistics for Management and Economics, Keller and Warrack, ISBN 0-534-39186-9 (required)
Data Analysis Using Microsoft Excel, Middleton, ISBN 0-0534-24426-2 (optional)

Software: Microsoft Excel
Course Objectives:
To learn analytical methods appropriate to the solution of engineering/science management problems using concepts form probability and statistics. In addition the student should be able to recognize and furthermore use valid statistical reasoning and presentations.

Grades:

Event Points Final Exam 40 Midterm 30 Cases 15 Homework 11 Discretionary 4 Total 100

The expectation for a good grade is that the student completes their assignment/tests on time and with as much clarity and accuracy as possible. Blanks or no answer are unacceptable in the work place and therefore are not at the School of Engineering. It is often in the attempt that most learning occurs.

Grading: A = 90 to 100 pts, B = 80 to 89 pts, C = 70 to 79 pts.

Homework:
Most of the homework will from the textbook. Other problems in the form of cases will be handed out and posted for download on a sharefile/Blackboard. The purpose of this is to enhance the relevancy of the course material.

Students are required to organize their class notes and homework solutions. Homework will be collected on the due date and reviewed for content.

Schedule (as of 08/07/04)

Class Date Topic Chapter Assignment Due 1 Aug 30 Introduction, Graphs, Descriptive Statistics 1, 2, 3 and 4 Hmk1, Case 1

Class Date Topic Chapter Assignment Due Sep 6 No Class (Labor day) 2 Sep 13 Descriptive Statistics, Excel & Probability 2, 4, 6, 7 and 8 Hmk 2, Case 2 3 Sep 20 Probability, Sampling 5, 6, 7, 8 and 9 Hmk 3 Hmk 1 4 Sep 27 SPC, Confidence Intervals 22, 10, 12, and 13 Hmk 4, Case 3 Hmk 2, Hmk 3 5 Oct 4 Confidence Intervals, Hypothesis Testing 10, 11, 12 and 13 Hmk 5 Hmk 4, Case 1 6 Oct 11 Hypothesis Testing 10, 11, 12 and 13 Hmk 6 Hmk 5 7 Oct 18 Mid term Review 1 thur 13 and 22 Hmk 6, Case 2 8 Oct 25 Midterm (in class & take home exam) Midterm TO

Class Date Topic Chapter Assignment Due 9 Nov 1 Categorical Data 16 Hmk 7, Case 4 Midterm TO 10 Nov 8 Categorical Data, ANOVA 16, 15 Hmk 8 Hmk 7, 8, Case 3 11 Nov 15 Regression Analysis 18, 19, and 20 Hmk 9, Case 5 Hmk 8 12 Nov 22 Regression Analysis and Time Series 18, 19, 20 and 21 Hmk 10 Hmk 9, Case 4 13 Nov 29 Time Series & Forecasting 21 Hmk 11, Final TO Hmk 10

Class Date Topic Chapter Assignment Due 14 Dec 6 Review/Misc Hmk 11, Case 5 Dec 13 Comprehensive Final In Class Final TO Due

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