By the end of this course, students will be able to:
1. Define AI and distinguish between its types: narrow, general, and superintelligence.
2. Being familiar with the basics of machine learning, neural networks, and deep learning.
3. Identify and discuss the applications and implications of AI in various sectors such as healthcare, finance, transportation, and creative fields.
4. Demonstrate knowledge of generative AI applications in creating content, designing products, and solving complex problems.
5. Evaluate the ethical considerations, biases, and societal impacts of AI technologies.
6. Critically assess the future of AI and its potential developments.By the end of this course, students will be able to:
1. Define AI and distinguish between its types: narrow, general, and superintelligence.
2. Being familiar with the basics of machine learning, neural networks, and deep learning.
3. Identify and discuss the applications and implications of AI in various sectors such as healthcare, finance, transportation, and creative fields.
4. Demonstrate knowledge of generalized AI applications in creating content, designing products, and solving complex problems.
5. Evaluate the ethical considerations, biases, and social impacts of AI technologies.
6. Critically assess the future of AI and its potential developments.
1) Articles and web resources provided by instructor
2) Please be prepared to bring a laptop (preferably with a working webcam and microphone) to class each day to participate in activities
1) Articles and web resources provided by instructor
2) Please be prepared to bring a laptop (preferably with a working webcam and microphone) to class each day to participate in activities
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Participation and AttendanceParticipation and Attendance participation and attendance |
10 | |
| Individual ProjectsIndividual Projects Individual projects |
50 | |
| QuizzesQuizzes quizzes |
20 | |
| Group ProjectsGroup Projects group projects |
20 |
