Course Syllabus
Contact Information
Course Details
For a list of course activities, scroll to the bottom of this page.
Course Delivery
- Asynchronous Online: Learning takes place online and asynchronously within the Canvas learning management system.
- Synchronous Online: Optional weekly office hours occur in real-time, using Zoom for synchronous interaction.
Course Prerequisites
Graduate standing.
Course Materials
Required textbooks:
- Northouse, P.G. (2021) Leadership: Theory and Practice, 9th Edition. Sage Publications. Print ISBN: 9781544397566.
- NOTE: Purchase the 9th edition (2021).
- Turn The Ship Around!, David Marquet, © 2001, ISBN: 9780241250945.
Program Learning Outcomes (PLO)
- Employ tools and techniques for successful implementation of the systems engineering process.
- Provide decision quality for systems design value trade offs.
- Analyze system performance for any part of the life cycle of a system through application of operations research, cost analysis, and predictive analytics techniques.
- Collaborate with and effectively lead multifunctional teams to achieve project management objectives.
Course Learning Outcomes (CLO) Alignment
| CLO | Description | PLO |
|---|---|---|
| A | Recognize personal interaction behaviors that support group task accomplishment. | 1, 4 |
| B | Explain how group dynamics affects group performance. | 1, 4 |
| C | Describe various leadership approaches and ways they are practiced in real-life situations. | 1, 4 |
| D | Analyze different sources and styles of influence and leadership | 1, 4 |
| E |
Apply different sources and styles of influence and leadership in different situations. |
1, 4 |
Grades
Breakdown
| Activity | Description | Points/Percentage |
|---|---|---|
| Exams | Two exams: Midterm and Final, each worth 25% | 50% |
| Analytical Paper | Six to eight page paper analyzing and comparing leadership approaches | 30% |
| Case Studies | Discuss 10 Case Studies on the Discussion Board. | 20% |
| Total | 100% |
Scale
| Percentage | Letter Grade |
|---|---|
| 90–100% | A |
| 80–89% | B |
| 70–79% | C |
| 60–69% | D |
| Below 60% | F |
Course Components
Exams
There will be a midterm examination in Week 7, which will cover all material through Week 6. The final exam, during week 14, will cover material in the second half of the session.
Final Paper
Read Turn the Ship Around! by L. David Marquet. Compare that author’s leadership journey to approaches discussed in out textbook, Leadership: Theory and Practice by Northouse. The Analysis Paper is due at the end of Week 12. You may turn in the report early if desired.
Case Studies on Discussion Board
The author of our textbook has included case studies based upon real-life situations. There are 12 case studies identified along with one or more questions to answer. Your requirement is to post an answer to the question and provide a follow up comment to a classmate’s answer.
The case studies discussions are a class participation activity which provides you a chance to have a conversation with your classmates about the various leadership theories and ideas as applied in real-life situations.
A case study from the chapter reading is assigned weekly. Because many students can face abrupt schedule changes, two of the 12 case studies will be excused. You need to complete ten case studies to receive the maximum points for the Discussion Board participation.
Course Policies
Communication
Email is the primary means of communication between students and the instructor. Messages will be answered promptly and responded to in the order in which they are received and processed. Include the course number in the subject line of all emails.
Use the email address provided at the top of this syllabus.
Feedback
I aim to complete grading within a week.
Late Policy
As many students work full time and their schedules may abruptly change, there is flexibility in due dates during the semester if needed. You are encouraged to keep pace with the course as it progresses. Approval for late work must be requested from, and received by, the faculty prior to submission.
Generative AI Policy
Generative AI can be very useful as you plan your strategy for how to approach an assignment in this class and begin to gather the information you’ll need to be successful. Here is how you can use Generative AI in this class:
- Planning: tools has a “Magic ToDo”, which can help you break down more complicated tasks into smaller action items. This can help you in the planning stage of any assignment.
- Brainstorming and Outlining: You may use Generative AI to help you in the initial stages of your assignments, but you must ensure that your work goes beyond the Generative AI output. This starts with effective prompts. For example, brainstorming means thinking with Generative AI, rather than having Generative AI think for you. Instead of a prompt that says: “I have to do an assignment on a topic. What topic should I do?”, you should provide more context in your prompt, share your interests, your ideas, what questions you have, and ask it to help you make a decision or to learn about topics you might be interested in given what you shared. Similarly with outlining, you should include in a prompt your initial ideas based on what you are learning in the course and can then use AI to help you order those ideas effectively.
- AI Research tools: We will explore ResearchRabbit, SemanticScholar, AI research assistants in e-books, and other appropriate AI research tools to explore how AI can help you find additional sources that you can use in your exploration of our course topics.
To ensure everyone has access to the same resources, you may only use free Generative AI tools, or those that are provided to you through the university such as Copilot and AI tools with Adobe Creative Cloud (available in campus computer labs).
In this class, it is important that you take the time to fully develop your own ideas and, therefore, you should not use AI to draft or revise your writing.
It is important to follow the guidelines for each assignment carefully. There may be times, such as in-class quizzes, midterms, or finals, where Generative AI usage is prohibited. I will clearly state this on any relevant assignment. Any use of Generative AI in those cases will be considered a violation of the academic integrity policy.
If you have any questions about how Generative AI may or may not be used on an assignment, please talk with me.
Consequences for Violating the Generative AI Usage Policy: Deviating from guidelines provided in each assignment may be considered a violation of the academic integrity policy of this course. Per our usage policy, you will be responsible for accuracy, including appropriately citing and summarizing any articles you find through AI research tools, and thus must read the material you are citing. Submitting data or research that is not real (a risk when overly relying on Generative AI) may result in an academic integrity violation for falsifying information. Additionally, there may be times, such as in-class quizzes, midterms, or finals, where Generative AI usage is prohibited. Any use of AI in those cases will be considered a violation of the academic integrity policy.
My Use of Generative AI: I will model appropriate Generative AI usage by clearly disclosing when I use it and why. I will never use Generative AI to grade your work.
Plagiarism
Written assignments should show your own understanding in your own words. That means all writing assignments, in class or out, are assumed to be composed of words generated by you or your collaborative team. Words written by someone else require proper citation.
For more information about plagiarism, the University of Oklahoma Libraries offers an Academic Integrity Tutorial with a video, handout and quiz. The library also offers a Avoiding Plagiarism Tutorial course on Canvas.
University Academic Policies and Student Support
Access the University Academic Policies Document.
Course Summary:
| Date | Details | Due |
|---|---|---|