AY 2022 Undergraduate School Course Catalog AY 2022 Undergraduate School Course Catalog AY 2022 Undergraduate School Course Catalog
| 2023/01/30 |
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| 開講学期 ／Semester |
2022年度／Academic Year 4学期 ／Fourth Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
HEO Younghyon |
| 担当教員名 ／Instructor |
HEO Younghyon |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/25 |
|---|---|
| 授業の概要 ／Course outline |
This course is designed to provide students with skills and trainings for 1) improving the English speaking fluency and 2) preparing/giving English presentations. By practicing English as an International Language, students will be motivated to speak English more confidently and comfortably. This can further boost their confidence in public speaking (presentation). |
| 授業の目的と到達目標 ／Objectives and attainment goals |
Upon completion of the course, students should be able to: 1) increase fluency in English speaking 2) learn how to prepare/design English presentation materials 3) learn/practice useful techniques for presentations in various situations 4) overcome anxiety in speaking English and in giving oral presentations |
| 授業スケジュール ／Class schedule |
Class 1. Course introduction Class 2. How to improve English speaking fluency 1 Class 3. How to improve English speaking fluency 2 Class 4. Presentation language 1 Class 5. Presentation language 2 Class 6. Presentation language 3 Class 7. Storytelling techniques 1 Class 8. Storytelling techniques 2 Class 9. Body language and attitude 1 Class 10. Body language and attitude 2 Class 11. Final project planning Class 12. Presentation rehearsals 1 Class 13. Presentation rehearsals 2 Class 14. Final Project Presentation Class 15. TOEIC online |
| 教科書 ／Textbook(s) |
There is no textbook for this course. Course materials (e.g. lecture notes) are available on the course Moodle page. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active Participation: 20% Assignments: 30% Final project preparation: 15% Final project presentation: 35% Notes: 1) If you miss 4 classes or more, you cannot pass this course. 2) Students are required to take the TOEIC test in class during the final exam |
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| 開講学期 ／Semester |
2022年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ROY Debopriyo |
| 担当教員名 ／Instructor |
ROY Debopriyo |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/02/02 |
|---|---|
| 授業の概要 ／Course outline |
This course is designed for advanced students at the University of Aizu who expect to write in their future employment. We will learn basic business and professional writing and presentation in this course. The course purpose is also partly to increase awareness of students at UoA about INDUSTRY 4.0-5.0. The corporate knowledge about the inner functioning of some of the major established or start-up companies focused on automation and industry 4.0-5.0 is important as students get ready to start working after their graduation. Such knowledge would also help them prepare for job interviews. Every student will start the course by deciding on a type of company and industry where they would like to work in the future. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
Course Plan: A major purpose of the course is designed to help you write more effectively in work situations and understand the following: A. INDUSTRY 4.0-5.0 business types and how the industry is changing towards extensive automation B. Companies in different domains of industry 4.0- 5.0 that are launching new-generation products in the market. Course Objectives: 1. Understand the value of new industrial and technological changes coming with INDUSTRY 5.0 2. The student should be able to write in and about many corporate contexts. 3. Develop and understand various strategies for planning, researching, drafting, revising, and editing documents that respond effectively and ethically to professional situations. 4. Learn and apply strategies for effective group collaboration. (?) 5. Understand and use various research methods to produce professional documents. 6. Develop strategies for using and adapting various communication technologies for projects. 7. Learn to argue with visual data, understanding, and implementing principles of document design. Student Learning Objectives: Documentation Outcomes: 1. The ability to prepare short business documents in English. 2. Being able to write and design in any instructional context. 3. Specifically, learning to design brochures, manuals, business reports, and proposals. 3. Developing and understanding various strategies for planning, researching, drafting, revising, and editing documents that respond effectively and ethically to instructional situations. Communication Outcomes: 4. The ability to communicate and collaborate with real clients and industry professionals on multiple issues of technical documentation. 5. Learning and applying strategies for effective group collaboration and project management. 6. Developing strategies to use and adapt various communication technologies. Research / Technical Design Outcomes: 7. Understanding and using various research methods for document testing and delivery. 8. Learning to argue with visual data; understanding and implementing principles of document design. |
| 授業スケジュール ／Class schedule |
Class Schedule (Tentative schedule, alterations may be necessary) Class 1: Course Introduction Class 2: Short Report on Student's Preference for Industry and Company Class 3: Short in-Class Discussion about the Reports Class 4: Writing Professional Emails Class 5: Writing Professional Emails Class 6: Discussion about the Emails Class 7: Writing Technical Report / White Paper - Industry 4.0 Class 8: Writing Technical Report / White Paper - Industry 4.0 Class 9: Discussion about the White Papers / Technical Reports Class 10: Designing / Analysing Information Graphs (use Screencast-o-Matic) Class 11: Designing / Analysing Technical Illustrations (use Screencast-o-Matic) Class 12 & 13: Making A 12-slide Technical Presentation based on a recent topic or area of interest in computer science that is deeply valued by the software/hardware companies the world over / This presentation could also be made based on Class 7-8 materials on Industry 4.0. Class 14: In-class revision or conference presentation based on Class 12-13 content. Final exam week: TOEIC online |
| 教科書 ／Textbook(s) |
I won’t recommend any textbook but use multiple resources along the way. I will provide you with handouts and post lectures throughout the semester. |
| 成績評価の方法・基準 ／Grading method/criteria |
(Everyone in the group should individually post every individual part of the group assignment) 1st Assignment: Introduction - 10% 2nd Assignment: Report on Preference for Industry and Company - 10% 3rd Assignment: Professional Email - 20% 4th Assignment: Technical Report/White Paper 1 - 10% 5th Assignment: Analysing Information Graphs - 15% 6th Assignment: Analysing Technical Illustrations - 15% 7th Assignment: Final Technical Presentation (may be at the summer conference) - 20% |
| 履修上の留意点 ／Note for course registration |
Assignment Expectations Work must be appropriate to audience, purpose, and context. NOTE: Some of the selected teams or individuals in class may be selected for a conference presentation in July based on the course assignment. Students are required to take the TOEIC test in class during the final exam week to pass this course. This TOEIC requirement has been included to motivate students towards continuous improvement in English proficiency which is a strong indicator for success in professional environments. |
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| 開講学期 ／Semester |
2022年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
NICHOLAS Allan |
| 担当教員名 ／Instructor |
NICHOLAS Allan |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/27 |
|---|---|
| 授業の概要 ／Course outline |
In this course, learners' awareness of cultural differences and the ways in which these differences are realized in communication will be raised. Learners will practice and develop all four language skills (reading, writing, listening & speaking), and will build their vocabulary. Materials for the course will be provided by the instructor, via Moodle. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
By the end of the course, learners will: a) have a basic understanding of the concepts of collectivism and individualism in relation to culture b) have some understanding of other prominent cross-cultural research and theories, including high/low context communication and orientation to time; c) have an understanding of research-based insights into Japanese culture and communication styles d) be able to compare and contrast their own communication styles with those of other cultures |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to the course Class 2: Defining “culture” and “cross-cultural communication” Class 3: Individualism versus collectivism: the work of Hofstede Class 4: Individualism & collectivism: continued Class 5: Hierarchical & democratic cultures Class 6: Power-distance Class 7: High versus low-context communication styles: the work of Hall Class 8: Non-verbal behavior communication & culture Class 9: Non-verbal communication and culture Class 10: Conversation & Social context Class 11: Conversation & Social context Class 12: End-term Project Class 13: End-term project Class 14: Review activity/test Final exam week: TOEIC online |
| 教科書 ／Textbook(s) |
All materials are provided by the instructor. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 10% End-term exam: 30% Project: 25% In-class activities/assignments: 35% Students are required to take the TOEIC test in class during the final exam week to pass this course. |
| 履修上の留意点 ／Note for course registration |
All materials are provided by the instructor in class and/or via Moodle. Every student must enroll in the course through Moodle. Weekly announcements will be uploaded on the course page on Moodle. Please check Moodle for detailed information on assignments or other course information. Please contact your professor if you have any problems accessing the website. If you have problems with your login, please contact or visit SSB (RQ 207-E). It is required that students take quizzes and exams individually; cheating/plagiarizing other’s work will not be tolerated. There are no set requirements. However, learners are expected to have completed 1st and 2nd year English core courses. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
The instructor has work experience in private industry. |
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| 開講学期 ／Semester |
2022年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ILIC Peter |
| 担当教員名 ／Instructor |
ILIC Peter |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
None. |
| 更新日／Last updated on | 2022/01/28 |
|---|---|
| 授業の概要 ／Course outline |
The main objective of this course is to give an overview of the major approaches and methods used in second and foreign language teaching. Many people who study a second language are not aware of the method behind the course design they are following. In this course, students will look at the key methods that influence today’s language material development. These methods will be discussed from the perspective of approach, design, and procedure. There will be a reading and a quiz for homework each class and a final project in which students will compare several methods discussed in class. This course should be of interest to those studying a second language, wishing to teach, or interested in creating language learning apps in the future. *Students are required to take the TOEIC test in class during the final exam week to pass this course. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
1. Develop knowledge of the key Second Language Learning Methods. 2. Develop knowledge of the history of Second Language Learning. 3. Develop a critical understanding of the methods and approaches of Second language Learning. |
| 授業スケジュール ／Class schedule |
Class schedule may change to fit class characteristics, such as number of students. 1. History of Language Teaching a. Homework: Reading 2. Situational Language Teaching a. Lecture b. Homework: Reading/Quiz 3. Audiolingual Method a. Lecture b. Homework: Reading/Quiz 4. Total Physical Response a. Lecture b. Homework: Reading/Quiz 5. Multiple Intelligences a. Lecture b. Homework: Reading/Quiz 6. The Lexical Approach a. Lecture b. Homework: Reading/Quiz 7. Community Language Teaching a. Lecture b. Homework: Reading/Quiz 8. The Natural Approach a. Lecture b. Submit Project First Draft c. Homework: Reading/Quiz 9. Cooperative Language Learning a. Lecture b. Homework: Reading/Quiz 10. Content-Based Instruction a. Lecture b. Homework: Reading/Quiz 11. Task-based Language Teaching a. Lecture b. Homework: Reading/Quiz 12. Role of Technology in Language Learning a. Lecture 13. Presentations Day 1 a. Submit Project 14. Presentations Day 2 15. Final exam week: TOEIC online |
| 教科書 ／Textbook(s) |
No textbook will be used. Course material will be made available on Moodle. |
| 成績評価の方法・基準 ／Grading method/criteria |
Online Quizzes: 80% Project Presentation/Paper: 20% Notes: Late assignments will lose 10% per day. After 5 days, a late assignment will receive a mark of 0%. |
| 履修上の留意点 ／Note for course registration |
Students are required to take the TOEIC test in class during the final exam week to pass this course. |
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| 開講学期 ／Semester |
2022年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ROY Debopriyo |
| 担当教員名 ／Instructor |
ROY Debopriyo |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
|
| 更新日／Last updated on | 2022/02/02 |
|---|---|
| 授業の概要 ／Course outline |
Visualization and data storytelling is absolutely essential in today’s business. If raw data can’t be turned into compelling information, companies will be unable to devise a strategy towards better corporate performance. The MIT Sloan School of Management described data storytelling as "the ability to convey data not just in numbers or charts but as a narrative that humans can comprehend." Sloan also said, "As with any good story, a data tale needs a beginning, a middle, an end, and some actionable insights. Data scientists aren't always up to the job". Reference: https://www.techrepublic.com/article/why-data-storytelling-in-business-matters-more-than-ever/ In this course we will discuss how data storytelling is a methodology for communicating information, tailored to a specific audience, with a compelling narrative. Data storytelling ideally merges three key fields of expertise: Data science: This field of expertise is the interdisciplinary field of sciences, which extracts knowledge and insight from data, making it readily available. Visualizations: Transforming data into graphs, pie, and line charts meant we could see our data like never before, however, data visualizations alone have limitations. They provided at-a-glance snapshots of data, lacking the context needed to explain why something has happened. Storytelling: Data scientists are often skilled at collecting and delivering data, but lack the skills to relay a true understanding of the opportunities hidden in the data delivered. As part of this course, we will focus on understanding how data science is now one of the most demanding areas of study in computer science, what it takes to become a good data scientist, the power of data visualization, and how to deliver compelling data storytelling for efficient project management, and how it could be converted into actionable strategies for companies. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
We will look forward to achieving multiple goals during the semester. 1. Develop a comprehensive understanding of the field of data science 2. Develop different visualization techniques depending on the scope of the data 3. Understanding machine and deep learning and it’s contribution in data science 4. Understanding design thinking and it’s contribution in data science 5. The difference between data visualization and data storytelling 6. Develop speaking ability to explain what specific graph types mean, and how to decode and prepare a compelling story from the visual presentation? 7. Develop technical writing skills when explaining data for business purposes |
| 授業スケジュール ／Class schedule |
Week 1: Introduction to Data Science / Bonus Forum Assignment Week 2: Data Science Research Process / Quiz 1 & Google Scholar Research Article Video Analysis Week 3: Introduction to Design Thinking & Design Thinking vs. Machine Learning / Quiz 2 Week 4: Design Thinking in Data Science / Quiz 3 & Infographics Design & Visualisation Type Explanation Week 5: Data Visualization Techniques and Processes of Infographic Design / Quiz 4 & Working with Excel Datasheet Week 6: Data Storytelling / Quiz 5 & Bonus Forum Assignment Week 7: Final Project / Turning Visualisation into Data Storytelling Final exam week: TOEIC online |
| 教科書 ／Textbook(s) |
No textbooks are needed. All required materials will be posted in Moodle. References: Data Visualization: A Practical Introduction by Kieran Healy <a href="https://www.amazon.co.jp/gp/product/0691181624/ref=ppx_yo_dt_b_asin_title_o05_s00?ie=UTF8&psc=1"DV</a> Storytelling with Data: A Data Visualization Guide for Business Professionals by Nussbaumer Knaflic, Cole <a href="https://www.amazon.co.jp/gp/product/1119002257/ref=ppx_yo_dt_b_asin_title_o07_s00?ie=UTF8&psc=1"STD</a> |
| 成績評価の方法・基準 ／Grading method/criteria |
Assessment (Overall Criteria): Each group and/or individual assignment will be graded against a specific set of criteria. A student will either get 0 or 1 for each category as is seen below. 1. Organisation of Ideas ( 0/1) 2. Clarity of Ideas (0/1) 3. Grammatical and Sentence Construction Issues (0/1) 4. Use and Explanation of Graphics (0/1) 5. User-Friendly Nature of the Information (0/1) 6. Text-Graphics Coordination (0/1) 7. Information Accessibility (0/1) Grading: Quiz: 20% Quiz 1: Introduction to Data Science Quiz 2: Design Thinking Quiz 3: Machine Learning vs. Data Science Quiz 4: Data Scientist vs. Data Analyst Quiz 5: Data Visualization & Storytelling Google Scholar Research Article Video Analysis - 20% Infographics Design & Visualisation Type Explanation - 20% Working with Excel Data Sheet - Preparing Data for Project Management - 20% Turning Visualisation into Data Storytelling - 20% Bonus Points: Two bonus point assignments in the Moodle forum will be built into the course. |
| 履修上の留意点 ／Note for course registration |
Reasonable English language proficiency and a basic understanding of statistics will help. Interest in project management and business studies is welcome. Feel free to consult with your friends about your assignment. Group discussions are entertained. Warning: Class Attendance and participation and communication with the course instructor is factored in the final grade Students are required to take the TOEIC test in class during the final exam week to pass this course. This TOEIC requirement has been included to motivate students towards continuous improvement in English proficiency which is a strong indicator for success in professional environments. |