Course Syllabus
Course Information
x credits
[example course description] This course explores how to leverage an organization’s diversity through inclusive leadership. Taking consideration of the value of diversity to the next level, we ask how do we unleash the full potential of a diverse organization? This includes personal reflection on understanding of diversity, inclusiveness and unconscious biases, and taking the Cultural Orientations Indicator (COI). This increased self awareness will serve as a foundation for students to strategically plan and actively engage business leaders in creating more inclusive business practices.
Prerequisites
None
Course Materials
Required Textbook
[Textbook citation]
Course Resources
The Library Course Page in the Canvas navigation menu provides resources through the UMN libraries.
The Course Resources page provides resources pertinent to the entire course.
Student Help provides links to important resources for academic and technology support, career research, and services for dealing with stress, time management, and other student counseling offices.
Technical Requirements
Browsers
You will need to use a browser as your primary method of accessing this course. The Canvas mobile apps should only be used as a supplement. To learn about browser compatibility with Canvas, visit the Supported Browsers (Links to an external site.) page.
Webcam / Microphone - Headset (Online courses only)
You will need a functional webcam for video conferencing and a headset-microphone to assure good audio quality.
Learning Outcomes
Course Outcomes
- Investigate how....
- Discuss the concept of...
- Articulate the functional relationship between the concepts of...
- Provide examples of the ...
Program Assessments
As part of the (CMGT/HSM/ITI/MM/etc.) curriculum, this course seeks to measure your progress in developing your overall skills in the program and in the discipline. The following assignments are particularly focused on assessing your progress in the designated outcome area. The rubric for these assignments will indicate your level of proficiency compared to that expected of a graduate of the program; please note that this proficiency "score" does not affect your grade on the assignment.
| Assignment | Program Outcomes |
|---|---|
| Quiz: Topic | PO2: Value Concepts |
| Discussion: Topic | PO6: Leadership Strategies |
| Assignment: Topic | PO5: Communicate Effectively, PO6: Leadership Strategies |
Course Policies
Grade Calculation
Your grades are calculated using weighted assignment groups, not using total points earned. However, there is no need to try to calculate your grade by hand. Use Canvas' What-If Grades feature to approximate your grade.
Grade Distribution
Grading and Transcripts: Twin Cities, Crookston, Morris, Rochester
| Grade | Percentage |
|---|---|
| A | 100% to 93% |
| A- | < 93% to 90% |
| B+ | <90% to 87% |
| B | < 87% to 83% |
| B- | < 83% to 80% |
| C+ | < 80% to 77% |
| C | < 77% to 73% |
| C- | < 73% to 70% |
| D+ | < 70% to 67% |
| D | < 67% to 60% |
| F | < 60% to 0% |
| Grade | Percentage |
|---|---|
| S | 100% to 70% |
| N | < 70% to 0% |
Late Submissions
Late work will only be accepted with prior approval from the instructor.
Using AI In This Course
As a first step toward understanding how using Artificial Intelligence (AI) can intersect with academic integrity, please familiarize yourself with the University of Minnesota Board of Regents Student Code regarding Scholastic Dishonesty (Section IV, Subd.1: ScholasticDishonesty).
While AI tools can enhance efficiency and assist in various tasks, the temptation to rely solely on AI-generated content raises concerns about the authenticity of one's work. Students must navigate the fine line between leveraging AI as a supplementary tool and upholding the core principles of originality, critical thinking, and ethical research. Citation: (OpenAI. (2023). ChatGPT (Aug 17 version) [AI Academic Policy]. ChatGPT)
What are AI tools?
Artificial intelligence (AI) language models and online assignment help tools are examples of online learning support platforms; they cannot be used for course assignments except as explicitly authorized by the instructor. To see a list of AI Tools, view our Artificial Intelligence (AI) Tools by Category list.. Please note that countless AI tools exist, and the omission of a specific tool doesn’t mean its use is permitted. If you have questions about a certain tool, do not use it until we’ve discussed it and I indicate how its use might be allowed.
What are the key takeaways for AI use in this course?
Any assignment content composed by any resource other than you, regardless of whether that resource is human or digital, must be attributed to the source through proper citation (examples of citing content composed by digital tools). Unattributed use of online learning support platforms and unauthorized sharing of instructional property are forms of scholastic dishonesty and will be treated as such. Remember that the purpose of any assignment is to foster learning and develop your critical thinking, problem solving, and research skills. If/when you use AI sources be sure to credit and cite them properly. If you are in doubt as to whether you are using an online learning support platform appropriately in this course, I encourage you to discuss your situation with me.
The following actions are considered proper use of AI tools in this course:
- Except during exams and quizzes, using writing assistants to check your written work
for grammar, spelling, and punctuation mistakes; - Correctly citing text from any AI source(s) that you choose to incorporate into your
assignment
The following actions are considered improper use of AI tools in this course:
- Submitting all or any part of an assignment statement to an online learning support
platform; - Incorporating any part of an AI-generated response in an assignment without the
proper citation(s); - Using AI to brainstorm, formulate arguments, or template ideas for assignments;
- Using AI to summarize or contextualize source materials;
- Submitting your own work for this class to an online learning support platform for
iteration or improvement; - Using AI tools during any exams or quizzes;
- Using AI tools during any assignments or activities without specific permission and
instructions from the instructor; - Using writing assistants and other AI to write, paraphrase, or change the style and
composition of your writing.
Please be aware that different courses and/or instructors at the University of Minnesota might implement different AI policies, and it is the student’s responsibility to understand and conform to the expectations for each course.
University Policies
COVID-19
Please follow the protocols listed in COVID-19 Response.
Make-up Work for Legitimate Absences
Students will not be penalized for absence during the semester due to unavoidable or legitimate circumstances. The UMN Policy on Makeup Work allows for circumstances such as: verified illness, participation in intercollegiate athletic events, subpoenas, jury duty, military service, bereavement, and religious observances. Such circumstances do not include voting in local, state, or national elections. You are responsible for informing your instructor as soon as possible of missed classes and provide documentation of the reason for absence.
Incompletes
Incompletes require a written agreement between instructor and student. The student must initiate the e-form, which is available on the One Stop website Forms page. For more information, see Grading and Transcripts: Twin Cities, Crookston, Morris, Rochester.
Withdrawals
For details check the Cancel/add & refund deadlines page and step -by-step guide to drop a class.
Expected Student Academic Work per Credit
UMN defines one undergraduate credit as equivalent to 42-45 hours of learning effort distributed across a semester (including all classroom and outside activities). Please review the UMN Policy on Expected Student Academic Work per Credit.
Academic Policies and Accommodations
Here is a link for Academic Policies and Accommodations
Veteran Students
Veterans and active duty military personnel with special circumstances (e.g., upcoming deployments, drill requirements, disabilities) are welcome and encouraged to communicate these, in advance if possible, to the instructor.
Modules
Course content is divided into modules that run from Monday at 12:01am through Sunday at 11:59pm US Central Time (UTC-06:00). Due dates are communicated within each Assignment tool.
Changes to the course schedule may occur and will automatically be reflected in the Course Summary section below.
Course Summary:
| Date | Details | Due |
|---|---|---|