ASSIGNMENT SUBMISSION:
- Do not put your name on the cases you submit through Canvas. Instead, label them ONLY with your SUU T-number. All work is graded anonymously to avoid any unintentional bias; failure to abide by this rule will result in a 5% reduction in your grade.
- Your grade is assessed based on your output and how it aligns with the course learning objectives and outcomes. This is part of the reason for the anonymous grading of papers. I am happy to meet with you at any time to discuss your performance and how you might improve going forward; note, however, that emails at the end of the term asking for grades to be adjusted/rounded upward will not be granted.
GRADING
Graduate Assessments
In this course, I will use the following grading schedule:
Weighted grades are rounded to the nearest .1.
Course Assignments
Exams: Midterms (two at 10% each) and Final (20%)
The exams will cover material from lectures, cases, and readings. They will consist of true/false and multiple-choice questions.
Exams will be available on Canvas. There are two main rules for the exams:
- They will be timed and will submit automatically at the conclusion of the allotted time.
- You may use the textbook, readings, and notes you have created, but you may not communicate or exchange information in any way (including but not limited to text messages, phone calls, WhatsApp, GroupMe, Google Docs, email, etc.) about the exam with any person or group (roommates, family, friends, classmates, etc.). Violation of this policy at any level – even attempting to do so – will be considered unethical behavior and will subject you to the penalties described in this syllabus.
To make sure you are doing the very best you can in this course, I offer the following. If you score better on the final than on a midterm exam, I will drop the lower midterm grade and add the weight to the final. For instance, if you scored 77 on Midterm 1 and 68 on Midterm 2, but achieved an 86 on the final, I will score your 86 as 30% of your course grade, 77 as 10% of your course grade, and ignore the score from Midterm 2. However, you must have completed both midterms in good faith and on time to qualify for this benefit; my judgment about what constitutes “good faith” will be final.
Case Analyses (2 at 20% each)
Business cases involve detailed factual scenarios detailing complex problems faced by real business leaders (and are found in the course packet; see above). Students will be given an opportunity to prepare written responses to three cases during the term, with a requirement to submit at least two; if you turn in all three on time and in good faith, the third case will receive a 5% bonus and I will then drop the lowest score. These assignments provide an opportunity to apply the course material to solve a real-life business problem. There are no specific page limits, but a complete analysis almost certainly requires several pages (4-5 is typical) to fully address the problems presented. The focus is on how you analyze and solve the problem, not whether you got a “right” answer or if you wrote a sufficiently long essay. More information about how to solve a case will be provided.
Quizzes (20%)
To help motivate you to keep up with readings and recorded content, there are quizzes associated with each of them. These will be completed in Canvas. I will drop your lowest quiz score.
Extra Credit
I typically do not offer extra credit. This is because your opportunity to improve comes in the form of other course policies: replacing a midterm score with the final; grading two of three case opportunities; etc. If the opportunity for extra credit arises, however, it will be announced in class and provided to all students equally. Extra credit is not offered upon request or on an individual basis.
In this course, I will use the following grading schedule:
| > 93% | A
| 90 – 92.99% | A-
| 87% - 89.99% | B+
| 83% - 86.99% | B
| 80% - 82.99% | B-
| 77% - 79.99% | C+
| 73% - 76.99% | C
| 70% - 72.99% | C-
| 67% - 69.99% | D+
| 63% - 66.99% | D
| 60% - 62.99% | D-
| < 60% | F
Weighted grades are rounded to the nearest .1.