ISDS 514 – 02

Schedule number – 20291

Fall 2014

QUANTITATIVE BUSINESS ANALYSIS:

STATISTICS AND OPERATIONS RESEARCH

For finals schedule go to:

Instructor: Dr. Z. Goldstein

Classroom:SGMH 2101

Meeting Time: Tuesday4 p.m. – 6:45 p.m.

Instructor Office: SGMH 4198

Department office: SGMH 4113

Communication:

Office hours: T, 7 – 8 p.m.

Telephone - Instructor: (657)278-2284

Department: (657)278-2221

Email:

Website:

Grading

  • Course average score: Your score will be determined by averaging three midterm scores. There is no final exam.

Final Score in the course = Three Midterm Exam Average

Grading chart:

A90 and above

B75 - 89

C60 - 74

D50 - 59

Fbelow 50

ExamsGeneral information

(1)Exams are closed-book!

(2)You may bring photocopies of the necessary tables in the book and

(3)You may bring any number of notes’ sheets.

(4)You may bring a calculator to the exams.

(5)All answers and work are written in a blue book; SCAN-TRON is not needed.

(6)Some exam questions will require the use of Excel to help in performing lengthy calculation, and to execute statistical analysis. Much attention will be given to the interpretation of the computational results.

Exam Dates, time and location:Exam 1 – Tuesday, Sept 29; class time; Location – classroom Exam 2 –Tuesday, Nov. 3;class time; Location – classroomExam 3 – Tuesday, Dec.15, 5 p.m.

Textbook:Spreadsheet Modeling & Decision Analysis ,7th edition, by Cliff T. Ragsdale; Publisher: Cengage Learning

Software:Excel – Solver; Excel – specialized templates

General remarks:

  • Make up exams – N/A
  • Frequently visit the website. There you’ll find announcements; PowerPoint files used in the classroom, assignments, more problems, and solutions.
  • Friendly advice: take your homework assignment very seriously. Although assignments are not graded, passing the course without constantly work on the homework assignments (on lecture by lecture basis) is highly unlikely.

Academic Dishonesty - University Policy: Academic Dishonesty, when detected, will result in a lower letter grade for the work at hand, and may result in an "F" for the course, plus additional university level disciplinary action. Please refer to the current university catalog for official university policy on this subject.


COURSE OUTLINE

WEEKTOPICCHAPTER

1-2Linear programming:3, 4

The graphical method

Applications of linear programming

3Sensitivity analysis

4Forecasting: Stationary models;

Performance measures11

5Exam 1

6-7Forecasting: Trend; Seasonal models;

Parameter optimization11

8-9Network models 5

9-10Project Management: CPM15

10Exam 2

11Spring Recess

12Project Management: PERT, Crah15

12-13Inventory models***

13-14Queuing models

14-15Decision Theory.14

15-16Quality control***

Exam 3