This course is designed for students to understand the outline of WEB media systems focusing on the infrastructure of artificial intelligence and data utilization, information retrieval, and machine learning 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.
WEB media, data utilization, information retrieval, big data, machine learning, natural language processing, authentication technology, database, distributed processing, advertising technology,
artificial intelligence, data science
✔ 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 submit a summary report after each class.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction | To grasp broad picture of WEB media |
Class 2 | Outline of artificial intelligence and data science | To understand an outline of artificial intelligence and data science |
Class 3 | Infrastructure of Artificial intelligence and data utilization for WEB media(1) | To understand authentication technologies for the Internet |
Class 4 | Infrastructure of Artificial intelligence and data utilization for WEB media(2) | To review some examples of spoken dialog systems using natural language processing |
Class 5 | Infrastructure of Artificial intelligence and data utilization for WEB media(3) | To understand databases for data utilization |
Class 6 | Information retrieval and machine learning for WEB media(1) | To review some development and application examples of information retrieval |
Class 7 | Information retrieval and machine learning for WEB media(2) | To review some development examples of news services |
Class 8 | Information retrieval and machine learning for WEB media(3) | To review some development examples of advertising technology |
None required
Materials will be provided on OCW-i in advance and projected in the classroom
Summary-sheets at the end of each class will be considered
None
This lecture is supported by Yahoo Japan Corporation.