This course is designed for students to understand the outline of digital art, automobiles, machine translation, and online advertising to consider the possibility to utilize artificial intelligence and data science in the field.
The lecturers will explain broad pictures and recent trends of the topic in each class, as shown below.
This course aims to develop ability of each student to be more successful in the real world with the consideration of artificial intelligence and data science, and also through the opportunity for students to describe their own ideas.
✔ Applicable | How instructors' work experience benefits the course |
---|---|
This lectured are given by scientists and engineers of Nefrock Inc. and Team Lab Inc. about application of AI and Data Science to solve practical problems. |
artificial intelligence, data science, digital art
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
This course requires students to take an active role in their own learning. It is required to attend each class.
Course schedule | Required learning | |
---|---|---|
Class 1 | AI development from planning through case studies | To understand the viewpoints necessary for AI development through a series of examples from planning to user use. |
Class 2 | Planning Approach for AI Development (1) | To understand the viewpoints necessary for AI development through a user-driven approach technology required for autonomous driving. |
Class 3 | Planning Approach for AI Development (2) | To understand the viewpoints necessary for AI development through a user-driven approach . |
Class 4 | Introduction to artificial intelligence and data utilization through examples | To understand the possibility of utilization of AI and data based on actual cases. |
Class 5 | Usage of artificial intelligence for digital art (1) | To understand the overview of work of digital art |
Class 6 | Usage of artificial intelligence for digital art (2) | To understand the algorithm selection and design process for virtual digital arts. |
Class 7 | Usage of artificial intelligence for digital art (3) | To understand the production process of interaction mechanism using the deep learning |
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to course material.
None required
Materials will be provided on OCW-i in advance and shared in Zoom lecture
Based on quizzes evaluating students' understanding at the end of each class.
none
This lecture is supported by Nefrock Inc. and TeamLab Inc..