• MGT 4140 none. CSP 1,2,4,6 (CSP requirements are outlined in the course catalog – Please read)

• The course assumes an understanding of computers and application software as identified in the prerequisites.

• Data Analysis & Decision Making, Christian Albright, Wayne Winston, 7th Edition, Cengage Learning, 2019 (ISBN-13: 978-0357109953, ISBN-10: 0357109953) - Optional

• MGS 4140 Business Modeling Reversed Workbook by Subhashish Samaddar, available at Alphagraphics - Required

Grading   

Plus/Minus Grading Policy

• Develop spreadsheet-based decision support systems
• Develop models to analyze decision making scenarios, with probabilities.
• Analyze the value of information using Bayesian analysis and incorporate it into a decision-making scenario.
• Formulate optimization problems mathematically, and solve them using Excel’s solver function
• Interpret Solver results, conduct sensitivity analysis and discuss the impact of individual input variables
• Create simulations of discrete and continuous variables. Develop Monte Carlo Simulation models to study business situations and use them to aid decision making.
• Explain the limitations of analytics in your own words.

You are expected to be proficient in the use of iCollege and all the assignments need to be submitted via the Assignment (i.e. DropBox) in iCollege. Specifically, you should be able to read, upload, and download files; read and send e-mail messages, read and post messages on discussion boards. You are also expected to check the section site daily for any changes, updates, and announcements. A knowledge of these applications is a prerequisite for any course offered by RCB.  The University offers remedial courses in any of these applications.

Class attendance is expected and necessary component of class participation. In the event that you must miss class, you are still responsible for material covered, and should make arrangements with fellow classmates to remain current with the class. Assignments remain due on the designated date regardless of class attendance. This is a project-oriented class using various computer application programs which require some time commitment. More than 3 missed class periods will result in your class participation marked down one grade. Additional absences may result in a WF.

• The in-person portion of classes should be essential to instruction. If a student has enrolled in an in-person class, the student should be expected to attend the class if they do not have an excused absence because of illness. It would not be reasonable to excuse students from all in-class attendance for a blended learning model or face-to-face course.

• Students who need accommodations should be directed to the Access and Accommodations Center at https://access.gsu.edu/. Our advisers are working with students who are unable to attend classes in person to direct them to classes that are fully online.

• We have a process for students seeking excused absences through the Dean of Students Office. Students submit documentation to https://deanofstudents.gsu.edu/student-assistance/professor-absence-notification/. Professors will then be notified by the Dean of Students of any excused absence without the need to manage medical information individually.

The emphasis here is to improve your verbal communication skills as well as learn through group discussion. Active class participation is encouraged and your contributions to class discussions will positively impact this portion of your grade.  Class discussions and attendance are included in class participation. I expect constructive contribution to the class discussion on a regular basis.

Students in this class are encouraged to speak up and participate during class meetings and online class discussions. The students on our class represent a diversity of individual beliefs, backgrounds, and experiences, and therefore, every member of this class must show respect for every other member of this class.

The instructor desires to accommodate students with specific access needs as described in the university policies: https://access.gsu.edu/about-us/ 

Honor Code:

Unauthorized Public Posting and Distribution. GSU Policy Prohibiting Students from Posting Instructor-Generated Materials on External Sites. The selling, sharing, publishing, presenting, or distributing of instructor-prepared course lecture notes, videos, audio recordings, or any other instructor-produced materials from any course for any purpose is strictly prohibited unless explicit written permission is granted in advance by the course instructor. This includes posting any materials on websites such as Chegg, Course Hero, OneClass, Stuvia, StuDocu and other similar sites. Unauthorized sale or commercial distribution of such material is a violation of the instructor’s intellectual property and the privacy rights of students attending the class, and is prohibited.

Plagiarism or Cheating in any form is not acceptable. While discussion with classmates regarding homework and projects is encouraged, any work submitted must be your own (except, of course, for group projects). Copying any portion of someone else’s assignment is specifically prohibited. Copying or paraphrasing any portion of someone else’s work without proper attribution in a research paper is also specifically prohibited. Evidence of plagiarism or copying on an assignment/exam will result in a grade of zero for that assignment/exam. Please refer to this web page for additional information: https://deanofstudents.gsu.edu/files/2019/07/Academic-Honesty-Policy.pdf.

Unauthorized Collaboration is not allowed. Unauthorized collaboration means working with someone or getting assistance from someone (a classmate, friend, etc.) without specific permission from the instructor on any assignment (e.g., exam, paper, homework) that is turned in for a grade. It is also a violation of academic honesty to knowingly provide such assistance to another student. Collaborative work specifically authorized by a faculty member is allowed.

We will be following the university's academic honesty policy provided at (among other sources): https://codeofconduct.gsu.edu/

Examination:

Exams will be administered in class according to the attached schedule. Exams may be a mixture of short questions, multiple choice and true/false. The exam will test both your understanding of concepts and problem solving ability, and will also include questions about the use of Microsoft Excel to solve problems in this course.