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Teacher name : Glenn Brown
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Course Title
English for Specific Purposes B
Course Title in English
English for Specific Purposes B
Course Type
Major Courses
Major Courses
Eligible Students
School of Social Information Science
Target Grade
All
Course Numbering Code
KCCBG1MCA7
Credits
2.00Credits
The course numbering code represents the faculty managing the subject, the department of the target students, and the education category (liberal arts / specialized course). For detailed information, please download the separate manual from the upper right 'question mark'.
Type of Class
講義・演習 (Lecture/Seminar)
Eligible Year/Semester
Fall semester 2026
(Fall semester)
Instructor
Glenn Brown
Affiliation
Part-time Lecturer
Language of Instruction
English
All classes will be taught in English
Related SDGs
3/4/9
Office Hours and Location
In Class / After Class
Contact
gbfwdmail@gmail.com
Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
3◎
Corresponding Graduate School DP
10〇
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course
ー
Course Objectives and Learning Outcome
This class aims to improve student's reading comprehension of science and technology English by exposure to up-to-date articles and material from these fields and holding discussions on these topics with their peers.
Subtitle and Keywords of the Class
Keywords: Digital, Digital Commerce, Real World
Course Overview and Schedule
This course will be taught entirely in English, which means all materials, written work, video, and spoken communication will be
in English. This will be a task-based syllabus, with activities chosen that will improve English comprehension of science and technology language. These classwork activities will include reading, discussions, and individual and group presentations. Students will be expected to participate fully in all classroom activities. Regular attendance and participation in classroom activities are essential for all students. Class Content 1. Course Introduction 2 & 3 Tokenization of Real World Assets 4 & 5 Digital Commerce 6 & 7 Digital Assets 8 & 9 Augmented Reality / Virtual Reality 10 & 11 Digital Collectibles 12 & 13 Artificial Intelligence v Generative AI 14 & 15 Course Review In-person/Remote Classification
In-person
Implementation Method and Remote Credit Limit Application
• In-person classes only
• Not subject to the cap on distance-education credits Uses of Generative AI
Fully permitted
Precautions for using Generative AI
When using Generative AI, please pay attention to the contents described in “Guidelines on the Use of
Generative AI in Education at the University of Hyogo (For Students)” In this course, the use of generative AI is fully permitted for all activities, including in-class work, preparation and review, and the creation of reports or other deliverables. No restrictions are imposed on its use. However, submitting AI-generated output directly as assignments or reports is strictly prohibited. It is important to verify factual accuracy and check/add sources and references for any content generated by AI. Whether students must indicate the use of AI in reports or other submissions will be determined by the instructor’s instructions. Textbook
No Textbook. All materials will be supplied by the teacher
References
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
60 Hours
Contents of Active Learning
Students will research in class and offer opinions during presentations and Q & A with the teacher
Grading Criteria and Methods
Students who demonstrate an understanding of the assigned tasks and successfully complete the required reports will
receive grades based on their level of proficiency in achieving the course objectives and learning outcomes. Grades will be assigned as follows: S (90 points or higher), A (80 points or higher), B (70 points or higher), and C (60 points or higher). Evaluation will be based on the assessment of the task reports. However, students who fail to submit assignments on three or more occasions will not be eligible for course credit. How to Disclose Assignments and Exam Results
In Class / After Class in a format designated by the teacher
Precautions and Requirements for Course Registration
Regular attendane and active participation in all classes are essential for students who wish to achieve good grades.
Practical Education
Remarks
In cases where any differences arise between the English version and the original Japanese version, the Japanese version shall prevail as the official authoritative version.
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