Course Description
Students will learn the fundamentals and background of generative AI, Large Language Models with a focus on practical applications, prompt engineering, governance, ethical and responsible use of AI. Prerequisite: C or better in ISM 110.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Explain the foundational principles, architectures, and business relevance of Large Language Models and Generative AI tools.
- Discuss the ethical, social, and governance considerations surrounding the use of Generative AI for personal and organizational purposes, including fairness, bias, and societal implications.
- Design and apply Generative AI tools to analyze and solve real-world business problems.
- Evaluate and justify the responsible use of Generative AI tools in professional settings.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Assignments | 25% |
| Quizzes | 40% |
| Discussions | 25% |
| Midterm Project | 10% |
Grading Scale
| Percentage | Letter Grade |
|---|---|
| 100 – 94 | A |
| 93 – 90 | A- |
| 89 – 87 | B+ |
| 86 – 83 | B |
| 82 – 80 | B- |
| 79 – 77 | C+ |
| 76 – 73 | C |
| 72 – 70 | C- |
| 69 – 67 | D+ |
| 66 – 63 | D |
| 62 – 60 | D- |
| Below 60 | F |
All individual assignments and quizzes must be done by the student only. Individuals should not work on these assignments together. Students may seek the general advice of others (any student or faculty), but at no time should a student seek or accept the answer to an assignment exercise from anyone else. A single failure to follow this policy will result in a grade of 0 on that assignment; subsequent violations of this policy will result in a grade of F for the course.
All assignments must be submitted before the deadline. Missing the deadline will result in 20% penalty. All assignments that are submitted after the deadline will qualify to receive up to 80% of their grades.
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
Introduction to Artificial Intelligence: A Business Perspective By corinne Hoisington; mark Ciampa Edition: 26 Publisher: CENGAGE CO ISBN 13: 8220148127090
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.