YORK UNIVERSITY
School of Administrative Studies
AP/ADMS 3330 3.0, Fall 2013
Quantitative Methods – II
Instructor: ...... Email:
Office Hours : TBA

Course Description:

This course continues with a case-oriented approach to quantitative business analysis and research methodologies. Statistical techniques, operations research techniques such as linear programming and modeling, metric and non-metric data analysis are amongst the techniques used.

Prerequisite: AK/ADMS 2320 3.00 or AK/ADMS 3320 3.00 (prior to Summer 2005).

Required Textbook:

1.  Keller, G.,STATISTICS FOR MANAGEMENT AND ECONOMICS,9th ed., South-Western Cengage Learning ©.

2.  Quantitative Methods II: the Custom Course Text (abridged version of the original text of Anderson, Sweeney, and Williams,QUANTITATIVE METHODS FOR BUSINESS, 10th ed, West Publishing Co. 2006) by author Bartel from York University Bookstore.

Marking Scheme:
Two Term tests / 50 %
Attendance / 5%
Final Exam / 45 %
Total / 100 %

Term Tests/ Final Exam

1.  Students are NOT allowed to bring a reference/formula sheet. Formula sheets will be provided by the instructors.

2.  Students MUST write tests and the final exam in the section they are registered in.

3.  Students MUST mark their student numbers on the scantron sheet properly.

4.  There are two common term tests counting for 25% each towards the overall grade.

5.  Both term tests and the final examination may consist of multiple choice questions and worded questions.

6.  If you miss a term test, the weight of one and only one missed test (25 marks) will be automatically (no documents such as doctor notes needed) transferred to the final examination. If you miss both term tests, your final examination will only weigh 70%.

7.  The final examination will be comprehensive if you miss any one of the two term tests. That is, if you miss one term test, you will be writing a final exam that includes material from the entire semester.

General Policy

1.  Concerns regarding marks will not be accepted after a week from the posting of the result not from collecting the work.

2.  You are only allowed to attend lectures in which you are enrolled.

3.  Attendance will be randomly taken 5 times throughout the semester. Attendance will be taken at randm parts of the class as well. That is it might be taken at the beginning/middle or end of the class.

4.  One absence will be forgiven. That is, to receive the full 5% you need to be in attendance 4 times out of the 5 times attendance is taken. Hence, there is no acceptable excuse for not attending a class. If you cannot attend the classes, please make sure you take the internet section or the section that you CAN attend. This is your responsibility.

5.  In case of a fire alarm, students are to get up instantly, collect their personal belongings and leave the building. (They should not wait until a Professor or an invigilator tells them to do so.)

6.  Students will not be allowed to write the term tests, or the final exam, unless they are on the class list / sign in sheet. There will be no exceptions. It is the student’s responsibility to ensure that they are properly enrolled.

7.  If you must miss a class, it is suggested that you try to obtain any missed notes from a classmate. NOT all class material will be available online. Please note that you are responsible for everything discussed in class (whether mentioned/included in the textbook or not).

8.  You are not allowed to take pictures/record of any contents of the lecture.

9.  Due to unavoidable circumstances if any lecture missed, date for make-up lecture will be announced on course web site.

Academic Conduct

Do not plagiarize other people’s work. As specified in the University’s course calendar, there are serious penalties, including failure and expulsion. More generally, students should be aware that anyone who engages in actions prohibited by the University’s policy on academic honesty will be subject to similar disciplinary action.
Please review Senate Policy on Academic Honesty at:

http://www.yorku.ca/secretariat/policies/document.php?document=69.

Deferred Standing Policy

Deferred standing may be granted to students who are unable to write their final examination at the scheduled time or to submit their outstanding course work on the last day of classes. In order to apply for deferred standing, students must complete a Deferred Standing Agreement (DSA) form and submit their request no later than five (5) business days from the date of the exam. The request must be properly submitted with supporting documentation directly to the main office of the School of Administrative Studies (282 Atkinson), NOT to the Course Director. These requests will be considered on their merit and decisions will be communicated to the students by the main office. Students with approved DSA will be able to write their deferred examination during the School's deferred examination period, which for Summer term courses will be administered during the period ___ through ____. No further extensions of deferred exams shall be granted. The format and covered content of the deferred examination may be different from that of the originally scheduled examination. The deferred exam may be closed book, cumulative and comprehensive and may include all subjects/topics of the textbook whether they have been covered in class or not. Any request for deferred standing on medical grounds must include an Attending Physician's Statement form; a “Doctor’s Note” will not be accepted.
DSA Form: http://www.registrar.yorku.ca/pdf/deferred_standing_agreement.pdf
Attending Physician's Statement form: http://www.yorku.ca/laps/council/students/documents/APS.pdf

Course Outline:

The following tentative course outline (all inclusive) is subject to "in class" changes as considered necessary by the Course Director.

Lecture / Week /Starting / Topic / Readings
1 / Week 1/Sep 09 / Simple Linear Regression / Keller, Ch. 16
2 / Week 2/Sep 16 / Multiple Regression / Keller, Ch. 17
(Omit 17.4 - Regression Diagnostics III)
3 / Week 3/Sep 23 / Model Building / Keller, Ch. 18
(Omit 18.4 - Stepwise Regression)
4 / Week 4/Sep 30 / Forecasting / ASW, Ch. 6
October 06
SUNDAY / Term Test I at 10am-11:30am (Location: TBA) / Covers Lectures 1, 2 & 3
5 / Week 5/Oct 07 / Decision Analysis / ASW, Ch. 4
6 / Week 6/Oct 14 / Project Scheduling: PERT/CPM
(Omit 12.3 - Crashing) / ASW, Ch. 12
Week 6/Oct 14 / No Class (Thanksgiving)
7 / Week 7/Oct 21 / Linear Programming (LP) - Graphical Method / ASW, Ch. 7
October 27
SUNDAY / Term Test II at 10am-11:30am (Location: TBA) / Covers Lectures 4, 5 & 6
Week 8/Oct 28 / No Class
Week 8/Oct 30 / No Class (Co-curricular week Oct 30-Nov 03)
8 / Week 9/Nov 04 / LP Computer Solutions, Sensitivity Analysis / ASW, Ch. 8
LP Formulation / ASW, Ch. 9
(Omit 9.5 - DEA Analysis)
9 / Week 10/Nov 11 / Network Models / ASW, Ch. 10
10 / Week 11/Nov 18 / Integer Linear Programming / ASW, Ch. 11
11 / Week 12/Nov 25 / Simulation / ASW, Ch. 15
Common Final Examination
(10-23 Dec) (Date, time & location to be announced on registrar/university website) / Covers Lectures 7,8,9,10& 11

NOTE:

Tutorials: Information will be posted on the course website.

* For specific date check your section course outline

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