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29:623:311:01-08 Product & Opns Mgmt (Spring 2016)

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29:623:311:01-08 Product & Opns Mgmt
(Spring 2016)

Instructor: Sheema Mirchandani
Email: sheemam@andromeda.rutgers.edu
Lecture: Mon/Thurs 8:30 AM – 9:50 AM Room CON100

Recitation: (Check your section time)

Course Website: http://blackboard.rutgers.edu

COURSE DESCRIPTION
Key quantitative techniques essential for analyzing and improving business operations. Spreadsheet modeling of business decision problems, both with and without data uncertainty. Linear and integer programming optimization models. Elementary applied probability modeling and Monte Carlo simulation.

COURSE MATERIALS
Required Textbook(s): Introduction to Management Science, 11/E
(Available in Book Store)
Bernard W. Taylor
ISBN - 10: 0132751917
ISBN - 13: 9780132751919

Course items in Blackboard

LEARNING GOALS AND OBJECTIVES

LGO1. Students will understand and be able to apply Key quantitative techniques essential for analyzing and improving business operations A. Students will be able to use spreadsheet modeling of business decision problems, both with and without data uncertainty in preparing assignments, projects, or term papers in other courses in the functional area business disciplines as well as in research projects in the workplace. B. Students will be able to employ spreadsheet software (e.g. Microsoft Excel) as a tool to assist in the solution of business problems. C. Students will have an awareness of ethical issues in conducting research, in optimization problems and in the presentation of results.
LGO2. Students will be able to understand risk from the perspective of
Elementary applied probability modeling and Monte Carlo simulation.
LGO3. Students will be familiarized with model - building for purposes of
Optimization and forecasting using modern linear and convex optimization techniques and Monte Carlo simulation methods.
PREQUISITES
01:640:135, 01:960:285

ACADEMIC INTEGRITY
I do NOT tolerate cheating. Students are responsible for understanding the RU Academic Integrity Policy (http://academicintegrity.rutgers.edu/files/documents/AI_Policy_2013.pdf). I will strongly enforce this Policy and pursue all violations. On all examinations and assignments, students must sign the RU Honor Pledge, which states, “On my honor, I have neither received nor given any unauthorized assistance on this examination or assignment.” [I will screen all written assignments through SafeAssign or Turnitin, plagiarism detection services that compare the work against a large database of past work.] Don’t let cheating destroy your hard - earned opportunity to learn. See business.rutgers.edu/ai for more details

ATTENDANCE AND PREPARATION POLICY

* Expect me to attend all in-class sessions. I expect the same of you. If I am to be absent, my department chair or I will send you notice via email and Blackboard as far in advance as possible. * For weather emergencies, consult the campus home page. If the campus is open, class will be held. * Expect me to arrive on time for each class session. I expect the same of you. * Expect me to prepare properly for each class session. I expect the same of you. Complete all background reading and assignments. You cannot learn if you are not prepared. The minimum expectation is that for each class session, you have prepared by studying for at least twice as many hours as the class hours. * Expect me to participate fully in each class session. I expect the same of you. Stay focused and involved. You cannot learn if you are not paying attention.

EXAM DATES AND POLICIES
There are 3 exams in this course:
Midterm1:
Exam Date: 03/07/2016
In-class, paper based, closed book/notes, calculator allowed, no laptops or PDAs, all cell phones turned off

Midterm 2:
Exam Date: 04/14/2016
In-class, paper based, closed book/notes, calculator allowed, no laptops or PDAs, all cell phones turned off

Final Exam:
Exam Date: 05/11/2016
Comprehensive, in-class, paper based, closed book/notes, calculator allowed, no laptops or PDAs, all cell phones turned off.

During in-class exams, the following rules apply: * If you have a disability that influences testing procedures, provide me an official letter from the Office of Disability Services at the start of the semester. * No cell phones or other electronics are allowed in the testing room. * You must show a valid Rutgers photo ID to enter the room and to turn in the exam. * Alternate seating; do not sit next to another student or in your usual seat.

GRADING POLICY
Course grades are determined as follows:
Quizzes and Assignments 20%
Midterm 1 20%
Midterm 2 20%
Final exam 40%

Extra credit: None

Grade distribution:
Letter Percentage
A 90-100
B+ 87-89.99
B 80-86.99
C+ 77-79.99
C 70-76.99
D+ 67-69.99
D 60-66.99
F <60

1. Grades will not be rounded up or down they are calculated and recorded to the one hundredth place automatically and are used in that form to assign midterm and final grades. There will be no “curve”. 2. All examinations and quizzes, including the Final Examination, should be considered cumulative. 3. COURSE GRADE WILL BE ISSUED WHEN ALL COURSE REQUIREMENTS ARE MET.

a. Grade posting: Grades will be provided within a week of an exam, assignment/paper submission, or quiz. Grades on hardcopy items will be provided in person in the class when the specific items are returned. For online/Blackboard items, grades will be posted in the Blackboard. b. Return of graded items: Graded items will be returned within two weeks in person for hardcopy items and via Blackboard for online items. Final exam and final project reports will not be returned. Blackboard for this course will be turned off and archived at the end of the final exam. c. Grade related information: No grade related information will be provided through email. All grade related information will be provided in-person via appointments. It is expected that you are respectful when you review your grade with your TA and accept the grade you have earned. Please do not use abusive language in email or in person. Any instances of that will be reported according to university guidelines. d. Warning grade roster: Warning grades will be issued if needed. You must watch for warning grades. e. Pregrading & regrading: Requests to review assignments before final submission (pregrading) will be provided by appointment and primarily after class hours. Requests to regrade assignments. Quizzes & exams must be done in writing to the TA within one week of the specific items being returned. Regraded items will be delivered back to students in person during after class hours. f. Grade grubbing: Your final grade is not subject to negotiation. If you feel that your TA(s) have made an error, submit your written argument to them within one week of receiving your grade of the specific item. If you want them to review the final grade, submit your written argument to them within one week of receiving your final grade. Clarify the precise error I made and provide all due supporting documentation. If they have made an error, they/I will gladly correct it. But they/I will adjust grades only if they have made an error. I cannot and will not adjust grades based on consequences, such as hurt pride, lost scholarships, lost tuition reimbursement, lost job opportunities, or dismissals. Do not ask me/them to do so. It is dishonest to attempt to influence faculty in an effort to obtain a grade that you did not earn, and it will not work.

COURSE SCHEDULE
(Tentative schedule, Subject to Change)

Week | Date | Topic | 1 | 01/21/2016 | Introduction to Management Science (Ch1) | 2 | 01/25/2016 | Linear Programming (Ch2) | 2 | 01/28/2016 | Linear Programming (Ch2) | 3 | 02/01/2016 | Linear Programming (Ch3) | 3 | 02/04/2016 | Linear Programming (Ch3) | 4 | 02/08/2016 | Linear Programming (Ch4) | 4 | 02/11/2016 | Linear Programming (Ch4) | 5 | 02/15/2016 | Integer Programming (Ch5) | 5 | 02/18/2016 | Integer Programming (Ch5) | 6 | 02/22/2016 | Transportation (Ch 6) | 6 | 02/25/2016 | Transportation (Ch 6) | 7 | 02/29/2016 | Network Flow (Ch 7) | 7 | 03/03/2016 | Network Flow (Ch 7) | 8 | 03/07/2016 | EXAM1 | 8 | 03/10/2016 | Multicriteria Decision (Ch 09) | 9 | 03/14/2016 | SPRING BREAK | 9 | 03/17/2016 | | 10 | 03/21/2016 | Probability & Statistics (Ch 11) | 10 | 03/24/2016 | Simulation (Ch14) | 11 | 03/31/2016 | Simulation (Ch 14) | 11 | 04/04/2016 | Simulation (Ch14) | 12 | 04/07/2016 | Simulation (Ch 14) | 12 | 04/11/2016 | Forecasting (Ch 15) | 13 | 04/14/2016 | EXAM II | 13 | 04/18/2016 | Forecasting (Ch 15) | 14 | 04/21/2016 | Forecasting (Ch 15) | 14 | 04/25/2016 | Forecasting (Ch 15) | 15 | 04/28/2016 | Forecasting (Ch 15) | 15 | 05/02/2016 | Review | 16 | 05/05/2016 | Reading Days | 16 | 05/11/2016 | FINAL EXAM 8:30AM – 11:30AM |

SUPPORT SERVICES
If you need accommodation for a disability, obtain a Letter of Accommodation from the Office of Disability Services. The Office of Disability Services at Rutgers, The State University of New Jersey, provides student - centered and student - inclusive programming in compliance with the Americans with Disabilities Act of 1990, the Americans with Disabilities Act Amendments of 2008, Section 504 of the
Rehabilitation Act of 1973, Section 508 of the Rehabilitation Act of 1998, and the New Jersey Law Against Discrimination. https://ods.rutgers.edu
If you are a military veteran or are on active military duty, you can obtain support through the Office of Veteran and Military Programs and Services. http://veterans.rutgers.edu/ If you are in need of mental health services, please use our readily available services. Rutgers Counseling and Psychological Services –
New Brunswick: http://rhscaps.rutgers.edu/
If you are in need of physical health services, please use our readily available services. Rutgers Health Services – New Brunswick: http://health.rutgers.edu/
If you are in need of legal services, please use our readily available services: http://rusls.rutgers.edu/
If you are in need of additional academic assistance, please use our readily available services. Rutgers University - New Brunswick Learning Center: https://rlc.rutgers.edu/

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