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COURSE INFORMATION SHEET (Syllabus v1)

QNT2020 S2BA

Foundations of Predictive Analytics and Decision Modeling

Semester

Summer 2023

Course & Section

QNT2020-S2BA

Class Days/Times

Mon, Wed, Thurs 11:00 am – 1:30 pm               All sessions are online synchronous via ZOOM

Department

Management

Instructor

David Fung

Contact

XXX

Email

[email protected]

Student Drop-In Hours

MW 4:00 pm – 5:00 pm

Please read this syllabus in entirety.

1.   Your participation in this course implicitly confirms your full and unconditional acceptance of:

a) course terms and conditions as outlined in this syllabus

b) all associated Baruch College regulations.

2.   Communication: please check your e-mail address on Blackboard is your Baruch email address.

a.   To update email on Blackboard (BB): click on the down arrow by your account name (BB top right-hand corner) -> Tools -> Update Email.

b.   Please make sure your e-mail address has the following format:

firstname.lastname@baruchmail.cuny.edu

DESCRIPTION

Students will develop quantitative reasoning skills necessary for success in business. Proficiency in the foundations of predictive analytics and decision modeling is the central focus. Students will learn to model a wide range of business decisions through case studies, data analysis, spreadsheet modeling, and interpretation of business significance. Students will further develop their statistical thinking skills through the study of predictive modeling for business using multiple regression. Variation, interpretation of models and model output, model building with spreadsheets, and regression assumption checking are stressed. Throughout the course, students will build quantitative literacy skills through writing about analytics, model building,     and interpreting quantitative information to understand and use data in managerial decisions.

3.0 hours; 3.0 credits.

PREREQUISITES

Completion of math requirement for the BBA degree (MTH 2000/2001/2003/2009) or equivalent, and STA 2000.

COURSE OBJECTIVES

Upon completing QNT2020, a student will be able to do the following:

1.   Use quantitative reasoning skills needed to interpret data and statistical analyses to solve business problems.

2.   Employ statistical methods and multiple linear regression to analyze data and make predictions for business.

3.   Design, build, and test quantitative models for business decision-making using spreadsheets and other technologies.

4.     Interpret and communicate quantitative and statistical information in order to enable managerial decisions.

LEARNING GOALS ADDRESSED

The faculty of the Zicklin School of Business has adopted the following “Learning Goals” for BBA students. The purpose of these goals is to create a common understanding between students,   faculty and potential employers of the core objectives for a business education. The seven

goals, together with assessment criteria, can be viewed at

http://zicklin.baruch.cuny.edu/zk/resources/teaching/aol/undergraduate/bba

The following Zicklin BBA Learning Goals will be addressed in this course:

Analytical Skills: Students will possess the analytical and critical thinking skills to evaluate issues faced in business and professional careers.

Technological Skills: Students will possess the necessary technological skills to analyze problems, develop solutions and convey information.

Communication Skills (Oral): Students will have the necessary oral communication skills to convey ideas and information effectively and persuasively.

Communication Skills (Written): Students will have the necessary written communication skills to convey ideas and information effectively and persuasively.

Civic Awareness and Ethical Decision-making: Students will have the knowledge base and       analytical skill to guide them when faced with ethical dilemmas in business. Students will have an awareness of political, civic and public policy issues affecting business.

Global Awareness: Students will know how differences in perspectives and cultures affect business practices around the world.

Proficiency in a Single Discipline: Students will possess a deep understanding of and intellectual competence in at least one business discipline.

HOW THE COURSE IS ORGANIZED This course has both synchronous components and asynchronous components.

Synchronous Component: The synchronous components will be covered during the bi-      weekly class times. Students are expected to attend the in-person lectures since you will work in your groups for a portion of the lecture. Please let me know in advance if you are unable to attend any of the lectures.

Asynchronous Component: The asynchronous components are required readings, quizzes, assessments, and group work. In order for this course to achieve its desired learning outcomes, you are required to complete all readings, homework, and quizzes, as provided in theweekly schedule.

o Readings: You must complete the readings and take the practice questions    assigned to receive full credit. Reading grades are counted towards your final grade.

o Group Work: You must form small groups (5 per group) by the end of the first week. You are required to submit your group members to me by the end of Day 2 (19 July 2023).

GRADES AND EXPECTATIONS FROM STUDENTS

The course is structured around a combination of class lectures, hand-on exercises on          quantitative literacy, and individual and group assignments. Students are expected read the assigned readings in advance, submit the assignments on time, and actively participate in    classroom.

Overall class grades will be based on the following weights:

Category

Weight

Class Contributions

10%

Assessments (readings & HW)

30%

Group Projects (2 x 15%)

30%

Exam #1

15%

Exam #2

15%

TOTAL

100%

Online Assessments

Students will be expected to complete weekly online assessments. Assessments (readings & HW) will either be conducted through a publisher’s platform such as McGraw Hill Connect or through Blackboard.

Late submissions will not be accepted. For assignments requiring team work, you must            contribute your fair share to receive full grade. Any disputes will be addressed on a case-by-    case basis. If the team member does not contribute to the group project in a fair manner, that member will not receive the same grade as the rest of the team for the project.

Projects

Students will complete two modeling projects that require them to use all that they have learned about multiple regression and decision modeling and then form a management decision. Emphasized in the project are (a) correct application of modeling techniques and (b)   appropriate interpretation of the model results in words that are appropriate for your manager or client, and (c) clear, concise, and appropriate written managerial recommendations. Details  of the project assignments and grading rubrics will be posted on Blackboard.

Exams

Exams will consist of multiple choice and/or problem-solving questions. All exams will cover material from all aspects of the class sessions (lectures, videos, in-class work, and so forth).

Attendance and Participation

Students are expected to attend all classes, read the assigned readings before the lectures, and participate actively in class sessions. Attendance and participation are important elements of    the class. Your participation grade will be based on your responses during the question-and- answer part of the lecture as well as your active contribution during the group work .

Final letter grade

Accumulated points will be calculated as a percentage and reported as a letter grade using the following scale (source: Baruch College Faculty Handbook).

% of Points Earned

Letter

Grade

GPA

Value

93.0– 100.0

A

4.0

90.0–92.999

-

3.7

87.0–89.999

B+

3.3

83.0–86.999

B

3.0

80.0–82.999

-

2.7

77.0–79.999

C+

2.3

73.0–76.999

C

2.0

70.0–72.999

-

1.7

67.0– 69.999

D+

1.3

60.0– 66.999

D

1.0

Below 60.0

F

WU/WN

PEN

0.0

0.0

0.0

A summary of my grading rules and expectations follow.

1.    Classes start and end on time.

2.     I don’t accept anything late, for any reason.

3.    Cheating and plagiarism are not tolerated, and have severe consequences. Please read the section on Academic Integrity.

4.     If you don’t follow my instructions, you will not be given a second chance to do it right.

GENERAL COURSE POLICIES

Exams

In case of extraordinary circumstances, students who cannot attend an exam must contact  the instructor in advance and provide a written justification/documentation for their absence. The final exam must be taken in the time slot posted in the college bulletin. The exams will include materials from both the readings and from the topics covered during our class sessions.  Behavior during exams is expected to conform to Baruch College guidelines. Any form of cheating or communications with other students or any other incident of improper behavior will be dealt according to the guidelines established by the College.

Work Submission Standards

•   Assignments are considered on time only if they are submitted by the due date/time as per the submission guidelines.

•   Hand-written work will be refused and will earn no credit unless otherwise instructed. As with any other academic submission, students must do their work carefully, striving to achieve high quality work. This includes writing clearly, checking the spelling and grammar, proofreading the submissions, and handing in the work    on the specified due date.

•   Extensions can be granted for situations involving illness, family, or personal emergencies. If you need an extension, you must request one via e-mail before the due date of an assignment . No extensions will be granted after the due date.

•   For individual assignments or group projects, any instance of copying, cheating or plagiarism will be penalized, and such instances will be reported to the Dean of students. Consequences may range from an F in the specific assignment to an F in the course. Please read the section onAcademic Integrity.

Additional Notes

•   Feel free to ask me why you received a certain grade on an assignment or exam. If you  received a grade in error I will correct it. If not, and you still want to dispute the grade, I will consider re-grading requests but I will re-grade the entire assignment or exam. This could result in a grade that is the same, higher, or lower.

•   Let me know about any problems or issues such as missing class, long term illnesses, job related problems, problems with the groups, etc. as soon as possible.

TEXTBOOKS & MATERIALS

1. Required Textbooks: custom textbook prepared for Baruch students.

This custom book takes select chapters from the following two textbooks:

a)   Essential Statistics in Business and Economics, 3rd ed. with Connect by Doane & Seward. (McGraw Hill, 2020, ISBN 978- 1-260-23950-8), Chapters 3, 4, 7, 8, 9, 12, 13 only.

b)   Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets, 6th ed. with Connect by Hillier & Hillier (McGraw Hill, 2019), Chapters 1, 2, 3, 4, and 8 only .

McGraw Hill has prepared a custom book for Baruch students. You can select between the two purchase options:

i. Connect with digital access to ebook + looseleaf print: $87.00. Link to purchase the textbook isLSC BARUCH COLL COMBO POL QNT2020:LL ESS STAT B&E W/MGMT SCI; QNT2020:CONNECT AC (mheducation.com)

ii. Connect with digital access to ebook: $77.00.

https://connect.mheducation.com/class/d-fung-qnt2020-ctrb

iii. Please note any other option purchased will be a higher price. Please consult your faculty if you wish to purchase another option from McGraw-Hill.

Required Digital Platform: Connect

We will use the textbook’s digital platform Connect for all assignments. To register your Connect account, please see the registration guide provided on the QNT2020 Blackboard course -> Syllabus. The registration link is: https://baruch.zoom.us/meeting/register/tZEkfuCorjMiEtJHje2B1XFkC2lxadKhPbpO Once you

have registered your account, you will be able to access your assignments directly from course Blackboard page. If you have any trouble registering, you can contact customer support at 1-   800-331-5094.

STUDENT TUTORING SERVICES

Baruch’s Student Academic Consulting Center (SACC) helps more than 5,000 students each  year in a wide range of subjects and employs more than 100 students as peer tutors.  Tutors will be available to assist QNT 2020 students.  If you feel you are having difficulties learning  the material that cannot be rectified during my normal office hours, consider the tutoring    option.  Seehttp://www.baruch.cuny.edu/saccfor more information.

AUDIO & VIDEO RECORDING POLICY

All synchronous (online) class lectures will be recorded. Students who participate in this class    with their camera on or use a profile image are agreeing to have their video or image recorded solely for the purpose of creating a record for students enrolled in the class to refer to, including those enrolled students who are unable to attend live. If you are unwilling to consent to have your profile or video image recorded, be sure to keep your camera off and do not use a profile image. Likewise, students who un-mute during class and participate orally are agreeing  to have their voices recorded. If you are not willing to consent to have your voice recorded during class, you will need to keep your mute button activated and communicate exclusively using the "chat" feature, which allows students to type questions and comments live.

ATTENDANCE

All students are required to attend every session of their courses. If a freshman or sophomore is absent in excess of twice the number of class sessions per week, the instructor must give the student a WU grade, which counts as an F. The instructor may give a junior or senior a WU grade (the equivalent of an F) for excessive absences. The Registrar’s office requires that students who have attended no classes before week 5 be dropped from the class.

STUDENTS WITH DISABILITIES

Baruch has a continuing commitment to providing reasonable accommodations for students with disabilities. Like so many things this fall, the need for accommodations and the process for arranging them have been altered by COVID- 19 and the safety protocols currently in place.    Students with disabilities who may need some accommodation in order to fully participate in this class should contact Student Disability Services as soon as possible at disability.services@baruch.cuny.edu. For more information, please visit http://www.baruch.cuny.edu/studentaffairs/ossd/disabilityServices.htm.

ACADEMIC INTEGRITY

Cheating and plagiarism are serious offenses.  The following definitions are based on the College's Academic Honesty website:

Cheating is the attempted or unauthorized use of materials, information, notes, study aids,   devices or communication during an academic exercise. Examples include but are not limited to:

•   Copying from another student during an examination or allowing another to copy your work

•   Unauthorized collaborating on a take home assignment or examination

•   Using unauthorized notes during a closed book examination

•   Using unauthorized electronic devices during an examination

•   Taking an examination for another student

•   Asking or allowing another student to take an examination for you

•   Changing a corrected exam and returning it for more credit

•   Submitting substantial portions of the same paper to two classes without consulting the second instructor

•   Preparing answers or writing notes in a blue book (exam booklet) before an examination

•   Allowing others to research and write assigned papers including&nb