Statistics Expert Only

College of Business Administration Graduate Programs

COURSE SYLLABUS Course Information: Semester/Session: Spring 2019 (Session I) Course Number and Section: MGT611AC Course Title: Advanced Quantitative Methods Credit Hours: 3 Classroom: ACAD 230 Meeting Dates: Saturdays Meeting Times: 9:00am – 5:00pm Required Text: N/A Other Required Materials: MyLab & Mastering Course (w/ e-text)

Instructor Information: Name: Christopher P. Wright, PhD Office Hours: Tuesdays 9:00pm – 9:30pm (Online) Wednesdays 11:00am – 12:00pm, 1:30pm – 2:30pm Thursdays 2:00pm – 5:00pm Saturdays 8:30am – 9:00am Office Location: Bisgrove 354E Office Phone: (716) 286-8176 Cell Phone: (585) 719-5734 (last resort) Faculty E-Mail: [email protected]

Technology Requirements

Students must have regular access to Canvas to view course materials. Additionally, students should have access to MS Excel with the Analysis ToolPak add-in (standard with all Windows versions.) Students with Mac computers with pre-2016 Excel should download StatPlus for the regression section.

Video solutions to review problems will be in .mp4 format, which may be viewed with many common video players (e.g., Windows Media Player, QuickTime Video Player, etc.)

For technical assistance, the Information Technology Help Desk can be reached by telephone at (716) 286-8040, by email at [email protected], and through Twitter at @niagarait. For more information about the services and support offered, please visit http://www.niagara.edu/it/.

University Mission Statement

Niagara University educates its students and enriches their lives through programs in the liberal arts and through career preparation, informed by the Catholic and Vincentian traditions.

College Mission Statement

Guided by Catholic and Vincentian traditions, we prepare current and future business professionals to learn, serve, and lead with integrity and live an exemplary life.

College Learning Objectives

1. Students will demonstrate effective presentation skills. 2. Students will demonstrate effective writing skills. 3. Students will demonstrate analytical skills. 4. Students will develop valuable employment skills through co-ops, internships, and community service.

MBA Department Mission Statement

Consistent with the mission of Niagara University and the College of Business Administration the Master's in Business Administration Program seeks to give the student competency in business knowledge and skills and to demonstrate their practical application to experience. It attempts to provide the optimal condition for learning through an application of business theory to experience. The program is designed to serve the needs of both fully employed and full time students.

MBA Learning Objectives

1. Students will demonstrate effective oral presentation skills. 2. Students will demonstrate effective writing skills. 3. Students will demonstrate effective team work skills. 4. Students will understand the importance of behaving ethically in their professional lives. 5. Students will have a global perspective of business. 6. Students will have an integrated perspective of business functions. 7. Students will demonstrate application of business theory to practice.

Course Description

Making decisions in the modern business world requires the use of advanced quantitative methods. This course teaches both the theory behind and the application of several higher-level statistical and probabilistic decision-making tools. Though it integrates computer software heavily, students will know what the software is doing to avoid “plug-n-play” analysis.

Course Learning Outcomes

1. Students will learn to apply advanced quantitative tools, including linear and logistic regression, classification methods (cluster, CART), decision making with uncertainty under various risk profiles, Monte Carlo simulation and linear, integer and nonlinear programming.

2. Students will learn to utilize statistical analysis (e.g., MS Excel Anlysis Toolpak) and modeling software (e.g., MS Excel Solver) to generate statistical results, analyze models and interpret results.

3. Students will learn to recognize limitations of these methods and the ethical dilemmas involved in utilizing their results.

Course Materials

You are required to purchase access for the mystatlab online homework system. Clicking the MyLab and Mastering link in Canvas will take you to that site. You will be asked to create a login (if you do not already have one) and then purchase the course.

Since mystatlab comes with access to an electronic text and my lecture slides are highly inclusive, there is not a required text for the course. Some students may wish to supplement this material, though, with a hard copy text. Recommended texts include Statistics for Managers Using Microsoft Excel (Levine et al.), Quantitative Analysis for Management (Render et al.), Business Analytics (Albright and Winston). Various editions of these texts can be found in new or used copies online.

Workload Expectations

This is an extremely demanding course. It requires considerable reading, problem solving and learning of new concepts and terminology.

State and federal education guidelines recommend 2-4 hours of work outside of the classroom for each hour in the classroom. As such, you should expect to devote 16+ hours per week outside of class to master the material, complete assignments and review for exams.

Attendance Policy

Attendance at all classes is particularly important and multiple absences may make completing the course impossible. If you must miss a class due for a legitimate reason (e.g., flu-like illness), please notify me as soon as possible.

Makeup Policy

As a general rule, makeup exams and homework will not be allowed. If you feel you have a legitimate exception, bring it to the attention of the instructor prior to the exam or homework due date.

Assessment Measures

Course Dimension % Course MBA CBA

Homework assignments 25 1,2 2,6,7 3

Group assignments (2) 25 1,2,3 2,3,4,5,6,7 1,2,3

Exam 50 1,2 2,6,7 2,3

In-class participation* Up to +/- 2% - 1,3,4,5,6,7 1,3

* Note: the participation score is an adjustment to the raw course score, which can be positive or negative. Normal participation level is 0%. Only exceptional levels of contribution/disruption are scored differently.

While the final grades may be curved up slightly due to the difficulty of the exams and quiz, the minimum grade that a student will receive follows the standard ranges:

Score Range Minimum Grade 96.7% - 100% A+ 93.3% - 96.7% A 90.0% - 93.3% A- 86.7% - 90.0% B+ 83.3% - 86.7% B 80.0% - 83.3% B- 76.7% - 80.0% C+ 73.3% - 76.7% C 70.0% - 73.3% C- Less than 70% F

Note: no D-range grades are assigned in the MBA program.

Collaboration and Sharing

Unless otherwise specified (e.g., group assignments), all work must be completed on your own and without collaboration with other students in this class, other sections of this class, or even sections in previous semesters. Likewise, for group assignments, collaboration is only permitted with your own group’s members. Any collaboration on individual assignments or outside of your group on group assignments will be treated as plagiarism (see below) for all parties involved.

Additionally, all work assigned in this course is expected to be original, meaning that it must be created by you during this course for the assignment. You may not utilize assignment solutions provided by students from previous sections or posted on crowdsourced “learning” platforms such as Course Hero. Anytime this policy is broken in this course, you will (at minimum) receive a zero for that assignment. You may also be reported to Niagara University’s Academic Integrity Board, where additional penalties could be assessed for more serious or second offenses.

Academic Integrity

Academic honesty – being honest and truthful in academic settings, especially in the communication and presentation of ideas – is required to experience and fulfill the mission of Niagara University. Academic dishonesty – being untruthful, deceptive, or dishonest in academic settings in any way – subverts the university mission, harms faculty and students, damages the reputation of the university, and diminishes public confidence in higher education.

All members of the university community share the responsibility for creating conditions that support academic integrity. Students must abstain from any violations of academic integrity and set examples for each other by assuming full responsibility for their academic and personal development, including informing themselves about and following the university's academic integrity policy.

Violations of academic integrity include but are not limited to the following categories: cheating; plagiarism; fabrication; falsification or sabotage of research data; destruction or misuse of the university's academic resources, alteration or falsification of academic records; academic misconduct; complicity; and copyright violation. This policy applies to all courses, program requirements, and learning contexts in which academic credit is offered, including experiential and service-learning courses, study abroad programs, internships, student teaching and the like.

These are the most common plagiarism problems seen at Niagara University among students referred to the Academic Integrity Board. Please strive to maintain the highest academic standards.

 Submitting a paper or portion of a paper written by another student—in your own class, another class, or another school.

 Submitting a paper which has large blocks of non-cited text copied directly from written or on- line sources.

Please refer to the graduate catalogue for Niagara University’s policy on academic integrity or access the policy online, www.niagara.edu/academicintegrity.

Niagara University business students are asked to use the APA citation style. We recommend this Purdue University guide: http://owl.english.purdue.edu/owl/resource/560/01/

On that page there are many drop down resources on the left side, including:

In-text citations as required in APA: http://owl.english.edu/owl/resource/560/02/

Reference list formatting which is required in APA: http://owl.english.edu/owl/resource/560/05/

How to cite electronic resources: http://owl.english.edu/owl/resource/560/10/

Students with Disabilities

Students with documented disabilities who may need accommodations, who have any emergency medical information the instructor should know of, or who need special arrangements in the event of an evacuation, should make an appointment with the instructor as early as possible in the semester, preferably no later than the first week of the semester. Students must also register with Kelly Engert, Coordinator, Assessibility Services (286-8076, [email protected]) in order to facilitate the provision of needed accommodations.

Counseling Services and Academic Support

The strains and workload of student life can sometimes feel overwhelming and it is easy to lose perspective when faced with academic, social, and personal demands. The staff of the office of counseling services in the lower level of Seton Hall and the Academic Support staff in the Learning Center in Seton Hall are here to help students manage the stresses of university life. All private consultations are confidential and free of charge. Appointment can be scheduled by calling 286-8536 (Counseling) or 286-8072 (Academic Success Center).

Inclusivity, Diversity & Support for Students at Niagara University

Niagara University supports a learning environment that fosters inclusiveness where diversity is respected and valued. It is expected that students in this class will respect differences and develop an understanding of how other people’s perspectives, behaviors, and worldviews may be different from their own.

Students are always encouraged to meet with faculty as early as possible in the semester to discuss their needs or concerns. Students may also seek additional assistance from a variety of resources available on campus such as the Academic Success Center, counseling services, Accessibility Services, etc. For more information on these resources, please visit http://mynu.niagara.edu/services

Chronological Outline of Topics to be Covered

Date Topic(s) Covered in Lecture

Associated Assignment Due at Start of Following Class

Before Prob & Stat Review (Video)

Sampling (Video)

Review Problems (Not for credit)

Jan. 26 Course Introduction

Refresher – Hypothesis Testing

Linear Regression (Univariate and Multivariate)

Homework 1 (mystatlab)

Feb. 2 Linear Regression (Modeling and Testing)

Logistic Regression (Univariate and Multivariate)

Data Mining (Brief Intro)

Classification – Cluster Analysis, Decision Tree (CART)

Homework 2 (mystatlab)

Group Assignment #1 – Due 2/14

(Written report and Excel file.)

Feb. 9 Exam 1 – Linear Regression

Decision Making with Risk

Risk Profiles

Homework 3 (mystatlab)

Feb. 16 Linear Programming

Integer Programming

Nonlinear Programming

Homework 4 (mystatlab)

Feb. 23 Exam 2 –Decision Making, Linear Programming

Monte Carlo Simulation

Group Assignment Time

Group Assignment #2 – Due 2/28 (Written report and Excel file.)

Note: All dates are preliminary and subject to change with the pace of the course.