This course provides group tutoring for data-science science-fair projects.
Detailed Description: [AI 3] is an independent practicum, where each student spends the entire course doing one large research project. While [AI 2] data sets are from past projects in the AI literature, [AI 3] data sets are usually completely novel. Students are expected to crawl, collect, or simulate systems to generate the data they need. Unlike previous courses, there are no problem sets at all. Instead, the instructor will provide direction to keep the student on track towards producing a final deliverable, such as a research paper or presentation. This is also the only KTBYTE course that features live tutoring with the instructor as a regularly scheduled part of the curriculum. Students may repeat [AI 3] for multiple semesters or years as needed to complete or expand their projects. Besides machine learning, students will understand the process of scientific inquiry and all the myriad of time management and communications skills that are required to learn on their own.
You should only take this class if you are proficient at:
Completion of [AI 2] and permission of instructor
These are examples of projects that students create as they grow their skills in [AI 3]