Grading
The course assessment is designed to evaluate both your technical understanding of generative AI and your ability to apply these tools creatively and critically.
Grade Distribution
| Component | Weight | Description |
|---|---|---|
| Group Project | 50% | Research or workflow development with presentation |
| Assignments | 30% | 7 individual assignments building creative portfolio |
| Lecture Attendance | 20% | Active participation in lectures and discussions |
Detailed Assessment Criteria
Group Project (50%)
The group project has three components: content quality, presentation delivery, and collaborative effort.
Content Assessment
Option A: Industry Impact Research Essay
Grade A (90-100%)
- Consistent interviews covering main dissemination and impact of generative ai.
- Consistent perceptive and critical engagement with issues and themes based on comprehensive understanding of generative ai.
- The analysis, synthesis and application of knowledge is consistently clear and effective.
Grade B (80-89%)
- Generally completed interviews covering most of dissemination and impact of generative ai.
- Frequent perceptive and critical engagement with issues and themes based on general understanding of generative ai.
- The analysis, synthesis and application of knowledge is general clear and effective.
Grade C (70-79%)
- Barely completed interviews covering some dissemination and impact of generative ai.
- Some perceptive and critical engagement with issues and themes of generative ai.
- The analysis, synthesis and application of knowledge is mostly clear and effective.
Grade D (60-69%)
- Insufficient number of required interviews covering a few of dissemination and impact of generative ai.
- Occasional perceptive and critical engagement with issues and themes of generative ai but lacks depth.
- The analysis, synthesis and application of knowledge rarely goes beyond reproduction of relevant concepts and theories.
Grade F (Below 60%)
- Fail to conduct interviews.
- No critical engagement with issues and themes.
- Essay characterized by serious inaccuracies and misunderstandings of generative ai.
Option B: GenAI Workflow Design
Grade A (90-100%)
- Effective and executable generative ai workflow with novel functionalities.
- Consistent tech implementation and clear design philosophy based on comprehensive understanding of generative ai.
Grade B (80-89%)
- Executable generative ai workflow with general completed functionalities.
- Completed tech implementation and clear design philosophy based on general understanding of generative ai.
Grade C (70-79%)
- Executable generative ai workflow with unclear and ineffective functionality.
- Completed tech implementation and mostly clear design philosophy.
Grade D (60-69%)
- Inexecutable but complete generative ai workflow.
- Completed tech implementation but unclear design philosophy.
Grade F (Below 60%)
- Fail to deliver complete generative ai workflow.
- Incomplete tech implementation.
- Fail to deliver any reasonable design philosophy.
Presentation Assessment
Grade A (90-100%)
- The presentation provides an outline which clearly introduces the structure and a conclusion that clearly summarizes the main ideas/arguments.
- Transitions from one main idea/argument to the next are always clear to the listener.
Grade B (80-89%)
- The presentation provides an outline which introduces the structure and a conclusion that summarizes the main ideas/ arguments but one or both could be more comprehensive.
- The listener is always able to follow the development of the main arguments.
Grade C (70-79%)
- The presentation provides an outline which introduces the structure and/or a conclusion that summarizes the main ideas/ arguments.
- However, one or both may be insufficiently clear and/or lacking in enough detail.
- Transitions from one main idea/argument are mostly clear to the listener.
Grade D (60-69%)
- The presentation endeavours to provide an outline which introduces the structure of the presentation or a conclusion that summarizes the main ideas/ arguments, although one or both may be unclear and/or lack enough detail to be useful to the listener.
- Transitions from one main idea/argument are occasionally clear to the listener.
Grade F (Below 60%)
- There is no outline or conclusion.
- Transitions from one main idea/argument are unclear because of a lack of signaling.
- The listener is not able to follow the development of any of the main arguments.
Assignments (30%)
Each of the 7 assignments contributes equally to the assignment component of your grade.
Individual Assignment Grading
Grade A (90-100%)
- Complete and timely submission.
- Submitted content align with all required points.
Grade B (80-89%)
- Complete and timely submission.
- Submitted content generally align with most of required points.
Grade C (70-79%)
- Complete and timely submission.
- Submitted content align with some required points.
Grade D (60-69%)
- Incomplete but timely submission.
- Submitted content rarely align with required points.
Grade F (Below 60%)
- No submission.
Lecture Attendance (20%)
Grade A (90-100%)
- Participates actively and constructively all the time.
Grade B (80-89%)
- Participates actively most of the time.
Grade C (70-79%)
- Participates most of the time but sometimes requires prompting.
Grade D (60-69%)
- Participates some of the time when prompted.
Grade F (Below 60%)
- Little or no engagement/participation.
For specific questions about course content or logistics, please contact the teaching team through email.