BAN 6001 - Course Outline - Fall B 2023.docx656184335c5ef26384

as of 10/29/2023 Department of Management and Information Technology Fall B 2023 October 30, 2023 – December 17, 2023 COURSE DESCRIPTION: This course will cover the application of quantitative techniques to business problems. Topics will include business applications of probability and statistics, forecasting techniques, and decision theory. Prerequisites: Co-requisite: Computer literacy; familiarity with Microsoft Excel. REQUIRED TEXTS: Evans, James R. (2020). Business Analytics: Methods, Models and Decisions, 3 nd ed. Boston: Pearson. ISBN 978-0-321-99782-1 Excel Resources: Microsoft Excel Help Center: https://support.office.com/en-us/excel ADDITIONAL READING (SUGGESTED): Albright, S. C. & W. L. Winston (2017). Business Analytics: Data Analysis and Decision Making, 5 th edition. Boston: Cengage. ISBN 978-1-305-94754-2 Camm, J.D., et al (2021 ). Business Analytics , 4 nd edition. Boston: Cengage. ISBN 978-0- 357-13179-4

BAN 6001 Fall B 2023 Page 2 of 15 Vriens, M., S. Chen & C. Vidden (2019). From Data to Decision: A Handbook for the Modern Business Analyst. Solana Beach, CA: Cognella Academic Publishing. ISBN 978-1-5165-2063-3 Additional readings posted on course-Canvas site. SOFTWARE: Microsoft Excel 2016 – Windows version. Lectures and demonstrations will be based on the Windows version of Excel 2016 . If you choose to use a different operating system (i.e., MacOS) and/or a different version of Excel (Excel 2013 or earlier), it is your responsibility to make the necessary adjustment, if possible, and complete the assignments correctly . Please note that not all features and functions of Excel are available in all versions. Please choose carefully. you may download Microsoft Office including Excel for your personal and school use. Link to download the software is on the home page of the student portal. MS in MGT Program Learning Outcomes (PLOs) for BAN 6001: PLO 1: Apply core management terms, concepts, and processes. Explain how management concentration integrates functional areas of business organizationally and creates value for customers while adding competitive advantage for organizations.

METHODS OF EVALUATING STUDENTS: Students are required to read all assigned chapters and be prepared to participate in discussions. Your final course grade will be based on participation (via discussion boards), assignments, quizzes, and a final (cumulative) case study analysis and presentation . ACADEMIC INTEGRITY: The College policy that defines academic integrity includes procedures for dealing with violations of that policy. Matters of academic integrity are distinct from the rubric of student misbehavior. Violations of academic integrity include cheating, counterfeit work, falsification of academic records, falsification of data or creation of false data, plagiarism, theft (of information), and unauthorized reuse of work. Since a violation of academic integrity takes place whenever anyone undermines the academic integrity of the College or attempts to take unfair advantage of others, the above list cannot be exhaustive. For further information, including the complete policy, procedures, and sanctions, please refer to The Cord . (See section on Academic Integrity St. Francis College) HOMEWORKS and ASSIGNMENTS : Homework problems are assigned for practice and are chosen to reinforce the topics covered in each module. It is expected that students will complete these homeworks as assigned. Assignment questions are selected from among these homework problems. All problem solving (homeworks and assignments) be completed using Excel. Homeworks are graded for efforts as follows: 5 points for complete submission; 2 or 3 points for partial submission; 0 point (no credit) for incorrect (non-Excel work), no submission OR plagiarized submission.

For submission: 1) Complete all analysis in Excel: 2) Place answers to all problems in ONE WORKBOOK labeling each sheet reflective of its content ; 3) Be sure to show and label all your answers ; 4) Post your workbook in the drop box on Canvas by its due date/time. Discussion Board for homeworks: Each assigned homework problem set has an associated graded discussion board posted on Canvas. You are to post a question, reflect on what/how you learned from the homework, and/or provide substantive response to a posted question . Do NOT post solutions !! Only assist each other with how to work through the problem and/or issue … I monitor the discussion board and respond/post only as necessary. This discussion board is graded for helpfulness – i.e., the quality of the question(s), reflections, and/or responses even if the response is not totally correct – the effort is rewarded. The discussions are to be courteous and respectful. Social niceties like “thank you” and “I agree” are expected but do not get any credit for the posting. This is a LEARNING COMMUNITY: Active participation is REQUIRED! QUIZZES: Quizzes will be comprised of multiple choice and short answer questions. No makeups will be given for missed quizzes. Missed quizzes receive a grade of zero (0).

Data Entry Several errors. Some required data may be missing. Some data required is missing. All data required data is entered correctly. Most data required is entered with 100% accuracy. All data required is entered with 100% accuracy. Computations & Formulas No formulas are used. Several errors in formula calculations Minor errors in correct formulas used. Most formulas used are correct applicable formulas as required 100% use of correct applicable formulas as required. Graphs There were graphs present, but graphs or data were incorrect. There are graphs present but only most elements were missing. The graphs required for the project were correct. Some elements were depicted. The graphs required for the project were correct. Most elements were depicted. The graphs required for the project were correct. All elements were depicted. Category Rudimentary 2 Points Developing 4 Points Satisfactory 6 Points Accomplished 8 Points Exemplary 10 Points

Organization/ Formatting Information is poorly organized. Appropriate formatting such as appropriate labels & column/row widths & heights are not used. Some Information is organized, using standard formatting tools. Some labels or other important formatting tools are missing. Information is mostly organized, using appropriate standard formatting tools, such as labels and bolding. Information is organized by using appropriate formatting, including shading, alignment tools, borders, special fonts, appropriate labels, appropriate column/row height & width Information is very well organized by using appropriate advanced formatting, including shading, alignment tools, borders, special fonts, appropriate labels, appropriate column/row height & width Visual Appearance & Output Spreadsheet is VERY difficult to read and locate information. Major information has been omitted. Spreadsheet is somewhat difficult to read. A few pieces of important information are omitted. Spreadsheet is clear & easy to read. Minor information has been cut of when printed. Spreadsheet is visually esthetic, mostly easy to read & most of the required information was printed (nothing is cut of). Spreadsheet is attractive, easy to read & all required information printed (nothing is cut of). Followed Directions None of the directions were followed. Most of the directions were followed accurately. Most of the directions were followed somewhat accurately. Some of the directions were followed. All directions were followed accurately and completely.

BAN 6001 Fall B 2023 Page 10 of 15 GRADING RUBRICS for ONLINE Discussions Criteria Exceptional Good Marginal Unacceptable Response to discussion questions Demonstrated understanding of the topics/issues Accurate Detailed Relevant Unique ideas that promoted discussion Well-reasoned 2 points Demonstrated understanding of the topics/issues Accurate Relevant Small degree of original thought or not detailed 1 point Brief response that was either only marginally applicable or very superficial 0.5 point Response is illogical, incomplete or incoherent No points Followed directions Posted as directed 0.5 point One error in following directions 0.25 point Two or more errors in following directions No points Three or more errors in following directions No points Composition Writing is clear and understandable Writing is always accurate for spelling, punctuation, grammar, sentence structure 0.5 point Writing is clear and understandable Minor errors in spelling, punctuation, grammar, sentence structure 0.25 point Writing difficult to follow at times OR Numerous errors in grammar and spelling but able to follow No points Writing is disjointed/rambling. OR Grammar and spelling errors interfere with message No points

TENTATIVE SCHEDULE: The following is a tentative schedule of topics and lectures. Changes may occur as the semester progresses. These changes will be announced and posted on Canvas. In addition to the assigned readings, students are responsible for any other handouts distributed in class and/or posted on Canvas. Topic Readings Posted on Canvas: 1 Oct 30 – Nov 6 Online via Canvas Introduction Introduction to Business Analytics Basic Excel Skill Database Analytics Chapter 1 Appendix 1A Chapter 2 Homework Discussions Quiz 2 Nov 6 – Nov 13 Online Via Canvas Data Visualization Descriptive Statistics Chapter 3 Chapter 4 Homework Discussions Quiz 3 Nov 13 – Nov 20 Online Via Canvas Sampling and Estimation Statistical Inference Chapter 6 Chapter 7 Homework Assignment Discussions Quiz

7 Dec 11 – Dec 17 Dec 15 - Dec 16: Inperson @Wheeler Final (Cumulative) Case Analysis and Presentation