Course Objectives
Students can understand the usefulness of data used in society based on actual examples from companies.
Students can understand that mathematics, data science, and AI have the potential to create new value by combining them with knowledge from other fields.
Rubric
| Ideal Level | Standard Level | Unacceptable Level |
Achievement 1
(Usefulness of data in society) | Students can fully understand the usefulness of data used in society. | Students can understand the usefulness of data used in society. | Students cannot understand the usefulness of data used in society. |
Achievement 2
(Creation of new value) | Students can fully understand that mathematics, data science, and AI have the potential to create new value when combined with knowledge from other fields. | Students can understand that mathematics, data science, and AI have the potential to create new value when combined with knowledge from other fields. | Students cannot understand that mathematics, data science, and AI have the potential to create new value when combined with knowledge from other fields. |
Assigned Department Objectives
Teaching Method
Outline:
・In the midst of social changes aimed at Society 5.0, students learn from actual examples of companies that data from a wide range of domains used in society is a useful tool for solving problems in daily life and society.
・Through examples of data utilization in the corporate world, students will learn that mathematics, data science, and AI can create new value by combining knowledge from various application fields.
Style:
・The class will be conducted mainly through lectures and exercises using actual examples.
・Teams investigate and interview the guest companies, discuss the relationship between data and AI applications, and summarize the results in a report.
Notice:
・All reports must be submitted by the due date for all topics.
・In order to check the achievement of the objectives, the submitted reports may be questioned.
・Evaluation of reports (how to write reports, organization and review of experimental results, due date, etc.)
・Evaluation of the achievement of the achievement target (contents of the report, answers to the questions, etc.)
Characteristics of Class / Division in Learning
Course Plan
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Theme |
Goals |
2nd Semester |
3rd Quarter |
1st |
History and Technology of AI |
Students can understand the history of the technology and its applications from the first AI boom to the third AI boom.
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2nd |
Examples of Management of Technology in Corporations 1
|
Students understand contents of lectures on AI-based technology management case studies by faculty with practical experience.
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3rd |
Report Writing |
Teams discuss and write a report on Technology Management Case Study 1.
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4th |
Examples of Management of Technology in Corporations 2 |
Students receive a lecture from a guest company representative on examples of technology management using AI, can understand the contents of the lecture.
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5th |
Report Writing |
Teams discuss and write a report on Technology Management Case Study 2.
|
6th |
Examples of Management of Technology in Corporations 3 |
Students receive a lecture from a guest company representative on examples of technology management using AI, can understand the contents of the lecture.
|
7th |
Report Writing |
Teams discuss and write a report on Technology Management Case Study 3.
|
8th |
Examples of Management of Technology in Corporations 4 |
Students receive a lecture from a guest company representative on examples of technology management using AI, can understand the contents of the lecture.
|
4th Quarter |
9th |
Report Writing |
Teams discuss and write a report on Technology Management Case Study 4.
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10th |
Examples of Management of Technology in Corporations 5 |
Students receive a lecture from a guest company representative on examples of technology management using AI, can understand the contents of the lecture.
|
11th |
Report Writing |
Teams discuss and write a report on Technology Management Case Study 5.
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12th |
Examples of Management of Technology in Corporations 6 |
Students receive a lecture from a guest company representative on examples of technology management using AI, can understand the contents of the lecture.
|
13th |
Report Writing |
Teams discuss and write a report on Technology Management Case Study 6.
|
14th |
Creating Ideas Based on Data |
In a team, referring to previous company case studies, attempt to create a new idea by connecting data from a wide range of areas used in society with various application areas, and express the content in writing.
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15th |
Report Writing |
Students discuss "Idea Creation Using Data" in teams and write a report.
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16th |
Presentation |
Students give a presentation on the ideas created by the team.
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Evaluation Method and Weight (%)
| Report | Presentation | Mutual Evaluations between students | Behavior | Portfolio | Other | Total |
Subtotal | 80 | 20 | 0 | 0 | 0 | 0 | 100 |
Basic Proficiency | 40 | 10 | 0 | 0 | 0 | 0 | 50 |
Specialized Proficiency | 20 | 10 | 0 | 0 | 0 | 0 | 30 |
Cross Area Proficiency | 20 | 0 | 0 | 0 | 0 | 0 | 20 |