Type of Credit: Elective
Credit(s)
Number of Students
Students who attempt to take this course should read the course description and policies carefully and complete the registration form. I will email the acceptance letter to matriculated students before September 6th.
The Registration Form (https://forms.gle/4vvho8Yo5bdBDimCA)
In recent years, Generative Artificial Intelligence (AI) has become an important tool for solving social problems. However, due to its ongoing development, many gaps still need to be filled to meet the professional requirements of various industries. This course aims to train students to utilize the latest technologies in Generative AI and data science to develop projects that can address real-world challenges. The technology covered includes, but is not limited to, diverse content (such as text, audio, and video) connections, fine-tuning, and Retrieval-Augmented Generation (RAG).
The course is exclusive to students who have taken one of ICI's programming courses (i.e., Computer Programming, Introduction to AI, Data Science, Capstone: Generative AI, or Big Data for Social Analysis). If you have not completed the required modules, please provide a course list and a personal statement in the registration form to demonstrate that you have a basic knowledge of Python to meet the skill requirements for this course.
能力項目說明
This capstone course will consist of two sections: the introduction section and the practice section. First, during the introduction section, there will be an introduction to the latest Generative AI skills and the ICI AI lab, lasting five to six weeks. Second, in the practice section, we will conduct several AI projects introduced by companies. These companies will provide their needs and project objectives. Students will be required to follow specific guidelines from the instructors and the companies' mentors.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Section 1: Introduction Section
Week 1: Introduction of the Course (2024/9/13)
Week 2: Generative AI: Text-to-Text (2024/9/20)
Week 3: Generative AI: Text-to-Audio and Text-to-Video (2024/9/27)
Week 4: Generative AI: Diverse Content Connections (2024/10/4)
Week 5: Introduction of ICI AI Lab (2024/10/11)
Week 6: Project and Generative AI (2024/10/18)
Section 2: Practice Section
Week 7: Project Introduction (2024/10/25)
Week 8: Project Proposal and Business Models (2024/11/1)
Week 9: Project Proposal and Business Models (2024/11/8)
Week 10: Problem Analysis and Solution Design (2024/11/15)
Week 11: Workshop I (2024/11/22)
Week 12: Workshop II (2024/11/29)
Week 13: Workshop III (2024/12/6)
Week 14: Prototype Development I (2024/12/13)
Week 15: Prototype Development II (2024/12/20)
Week 16: Project Presentation (2024/12/27)
Week 17: Final Paper Development (2025/1/3)
Week 18: Final Paper Development (2025/1/10)
This course's grades will be determined based on your performance in the following areas:
1. Project meetings will be held every Friday from 9:10 am - 12:00 noon. Students should attend all meetings and provide a report on their project’s progress.
2. By the conclusion of 13 September’s class, you should establish a team composed of 2-5 of your classmates. Each team should assign a member to email me a list, which should include each team member’s name, email, and university ID.
3. On 8 November, each team should submit a project proposal.
4. Collaborated institutions will establish the deadline for the projects. All teams should submit their work prior to the deadline.
Generative AI Utility Policy
This course focuses on developing advanced applications of Generative AI. We welcome the use of Generative AI in the classroom.