AY 2019 Undergraduate School Course Catalog AY 2019 Undergraduate School Course Catalog AY 2019 Undergraduate School Course Catalog
| 2020/02/05 |
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| 開講学期 ／Semester |
2019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 |
Jeremy Perkins |
| 担当教員名 ／Instructor |
Jeremy Perkins |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/02/13 |
|---|---|
| 授業の概要 ／Course outline |
Students will learn to use R in order to apply basic statistical techniques on linguistic data. The course will focus on analysis of acoustic data using the Praat software package. Students will learn how to run an acoustic study using Praat scripts, with techniques for organizing, processing and analyzing the results via R. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
The following objectives will be of particular interest: 1. A basic understanding of acoustic phonetics. 2. How to use Microsoft Excel to work with data. 3. How to use Praat software to analyze acoustic data. 4. How to write scripts that allow processing large amounts of data. 5. Statistical techniques and hypothesis testing using R software. |
| 授業スケジュール ／Class schedule |
Class 1: Introduction Classes 2-3: An Introduction to Acoustic Phonetics Classes 4-5: Using Praat to analyze Acoustic Phonetics Classes 6-7: Writing Praat Scripts Classes 8-9: Review & Midterm Exam Classes 10-11: Statistical Techniques Classes 12-14: Using R for statistical analysis |
| 教科書 ／Textbook(s) |
No textbook will be used. Course material will be made available online to students via Schoology. |
| 成績評価の方法・基準 ／Grading method/criteria |
Homework Assignments (6 assignments worth 5% each) 30% Midterm Exam (in class – class 8 or 9) 25% Take-home Final Project (assigned class 10; due end of quarter) 25% Class Participation 20% |
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| 開講学期 ／Semester |
2019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 |
Debopriyo Roy |
| 担当教員名 ／Instructor |
Debopriyo Roy |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/02/15 |
|---|---|
| 授業の概要 ／Course outline |
This course is designed to help you develop an overall understanding of the IT market with applications which are specific to a SMART CITY DESIGN context. As part of this course, students will develop arguments through technical reports and presentations about how different SMART and INTELLIGENT IOT-based technologies could be used in the context of Fukushima revitalization. We will also look into how practical and feasible is SMART CITY from the perspective of social and community planning and economic development in the society.This course will help develop entrepreneurial thinking in our students, and provide a context for understanding the IT market while developing technical communication-based skillset. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
We will look forward to achieving multiple goals during the quarter. § Use research techniques to help bridge the gap between what you think you know about your users and who they really are. § How to perform research planning § Use effective strategies to understand a product, design surveys, conduct audience and task analysis, and analyze data. § Perform a simple usability test and analysis § How to transform research into action § Understand the importance of global and cross-cultural research § Use effective strategies to learn document authoring and technical presentation in specialist fields. § Thinking critically and analytically. § Learn how to write procedural documents effectively. |
| 授業スケジュール ／Class schedule |
1st Week: § 1st Session: Introduction to Usability & User Experience Research (UER). § 2nd Session: Reflection Paper # 1 - Importance of Usability 2nd Week: § 1st Session: What is User Experience Research? Why is UER a critical knowledge element for computer science majors? §2nd Session: Reflection Paper # 2 - User Experience Research 3rd Week: § 1st Session: What is Usability Testing? Why is it important and what are the different testing methods? § 2nd Session: Discussion of SMART CITY PROJECT; Reflection Paper # 3 - Understanding Usability Concepts in a Smart City Context 4th & 5th Week: § 1st Session: Design your own LEGO SMART CITY DESIGN using Tinkercad / Leo CAD § 2nd Session: GROUP PROJECT Model Analysis # 1 – A. G1: Analyze the SMART CITY in a Real Life Context using Usability Principles (Heuristic Evaluation) – Get two Friends to Analyze the Usability of your Designed SMART CITY DESIGN PROTOTYPE B. G2: Analyze a couple of SMART CITY apps in a Real Life context using Usability Principles (Heuristic Evaluation) – Get two Friends to Analyze the Usability of your Designed SMART CITY PRODUCT APPS PROTOTYPE § 1st Session: In-class Work on the Model Analysis # 1 § 2nd Session: 1st Oral Technical Presentation on the SMART CITY Product Dynamics and Usability Analysis 6th & 7th Week: GROUP PROJECT Model Analysis # 2 § 1st & 2nd Session: Community Website Design Project – Website Design and Usability § 1st Session: Try using one of the free trials for the following smart city software (https://www.autodesk.com/solutions/smart-city) – (1) Develop a SMART CITY Prototype and (2) Explain how the software could be used to design a prototype – FOR FUKUSHIMA SMART CITY PROJECT AND ECONOMIC REVITALIZATION and (3) Customize the content in the community design website for Fukushima revitalization. CONTEXTUALIZE THE WEBSITE IN THE CONTEXT OF FUKUSHIMA SMART CITY PLANNING – SPECIFIC FUKUSHIMA AREA DETAILS AND GOOGLE MAPS / STREET VIEWS MUST BE USED § 2nd Session: 2nd Technical Usability Presentation on SMART CITY PROTOTYPE DESIGN AND USABILITY PROJECT (Presentation must be uploaded in www.slideshare.net) Notes: Minor alternations to the course content might be necessary based on immediate needs. |
| 教科書 ／Textbook(s) |
Reference Textbooks: Observing the User Experience: A Practitioner’s Guide to User Research (2nd Edition) by Elizabeth Goodman, Mike Kuniavsky and Andrea Moed. (2012). A Research Primer for Technical Communication: Methods, Exemplars, and Analysis by Michael A. Hughes and George F. Hayhoe. (2008). Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests by Jeffrey Rubin and Dana Chisnell (2008). |
| 成績評価の方法・基準 ／Grading method/criteria |
Weekly Assignments and Grades: (100%) + 5% bonus marking for attendance and group participation Week # 1: Reflection Paper # 1 - 5% (Importance of Usability) Week # 2: Reflection Paper # 2 - 10% (User Experience Research) Week # 3: Reflection Paper # 3 – 10% (Understanding Usability Concepts in a Smart City Context) Week # 4 - 5: Group Project Model Analysis # 1 – Oral Presentations Design and Presentation (25%) Week # 6 – 7: Group Project Model Analysis # 2: Community Website Design Project – Website Design and Usability (50%) o Smart City Prototype using Free Trial Autodesk Software (20%) o Use of Concept Mapping / Sketch boarding Software to Explain the Layout of Fukushima Smart City (10%) o Use of IoT technology for Smart City Planning (5%) o Contextualize the Information for Fukushima Smart City Planning Context (5%) o Technical Usability Presentation (10%) Notes: Minor alternations to the grading schema might be necessary based on immediate needs. |
| 履修上の留意点 ／Note for course registration |
Students must pass 10 credits of English coursework with minimum 400 in TOEIC before registering for this course. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Selected Online References on Smart City (More references available on the course webpage): Social Usability and Smart City: https://www.igi-global.com/chapter/from-the-smart-city-to-the-people-friendly-city/130975 https://intenseminimalism.com/2010/social-usability-checklist/ Introducing Smart City: https://en.wikipedia.org/wiki/Smart_city https://www.slideshare.net/gargmfp/smart-city-41833712 Examples of Smart City Planning: https://www.wien.gv.at/stadtentwicklung/studien/pdf/b008403j.pdf http://smartcities.gov.in/upload/uploadfiles/files/Bhubaneshwar_WinningProposal.pdf Smart City Apps: http://www.smartappcity.com/en/ |
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| 開講学期 ／Semester |
2019年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
John Blake |
| 担当教員名 ／Instructor |
John Blake |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/02/15 |
|---|---|
| 授業の概要 ／Course outline |
Language is permeated with patterns. In English, the letter q tends to be followed by the letter u. The word moon is almost always preceded by the word the. Passive voice is usually formed with the verb be and a past participle (e.g. was done). Students study the patterns in the words, grammar, meaning and functions in texts. Less obvious patterns can be discerned using specialist pattern-matching tools. This course enables students to investigate the relationship between patterns and language by exploring the vocabulary, grammar and structure of texts. Statistical tools and visualization tools are used to discover the less obvious patterns. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
By the end of the course students will be able to: (a) describe patterns and pattern-seeking behaviour (b) identify patterns at lexical, grammatical and discourse levels (c) use software to identify language patterns (d) create a simple language pattern visualization tool |
| 授業スケジュール ／Class schedule |
Patterns and pattern seeking Session 01 Patterns and pattern seeking Session 02 Language system and its patterns Session 03 Patterns in written English Session 04 Patterns in spoken English Session 05 Review and consolidation Specific language patterns Session 06 Functional patterns Session 07 Clausal and phrasal patterns Session 08 Lexical and grammatical patterns Session 09 Lexical and grammatical patterns II Session 10 Review and consolidation Pattern detection and visualization Session 11 Word patterns I Session 12 Word patterns II Session 13 Semantic and sentiment analysis Session 14 Review and consolidation Session 15 Final Exam |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 30% Quizzes: 30% Final exam: 40% |
| 履修上の留意点 ／Note for course registration |
None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
None |
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| 開講学期 ／Semester |
2019年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
Peter Ilic |
| 担当教員名 ／Instructor |
- - |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/02/14 |
|---|---|
| 授業の概要 ／Course outline |
This course will cover Information and Communications Technology (ICT) in Education particularly focusing on affordances offered by the technology. It will address the “what” and “how” of ICT in education, by providing students with theoretical and practical knowledge invaluable in the planning, implementation, and evaluation of ICT supported education. Students will learn about various affordances of educational technology, from current trends to future possibilities. Also, the course will help students develop awareness of the current advantages and limitations of ICT in the educational context. It will be of particular interest to students who are interested in becoming educators. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
1. Develop theoretical and practical knowledge of ICT in education. 2. Develop critical understanding of the limits of ICT in education. 3. Acquire skills in the planning and implementation of ICT in education. |
| 授業スケジュール ／Class schedule |
1. Introduction to ICT in Education a. Homework: i. Online Reading ii. Quiz 1 (8%) 2. History of ICT in Education a. Homework: i. Online Reading ii. Quiz 2 (8%) 3. Synchronous/Asynchronous a. Homework: i. Online Reading ii. Quiz 3 (8%) 4. Ubiquitous Learning a. Homework: i. Online Reading ii. Quiz 4 (8%) 5. Active Knowledge Making a. Homework: i. Online Reading ii. Quiz 5 (8%) 6. Multimodal Meaning a. Homework: i. Online Reading ii. Quiz 6 (8%) 7. Recursive Feedback a. Homework: i. Online Reading ii. Quiz 7 (8%) 8. Collaborative Intelligence a. Homework: i. Online Reading ii. Quiz 8 (8%) iii. Project Outline (5%) 9. Metacognition a. Homework: i. Online Reading ii. Quiz 9 (8%) 10. Differentiated Learning a. Homework: i. Online Reading ii. Quiz 10 (8%) 11. The Future a. Homework: i. Presentation PowerPoint upload 12. Project Presentations (15%) 13. Project Presentations 14. Project Presentations |
| 教科書 ／Textbook(s) |
No textbook will be used. Course material will be made available online to students via Schoology. |
| 成績評価の方法・基準 ／Grading method/criteria |
Online Reading Quizzes: 80% Project: Total 20% • Project Outline: 5% • Project Presentation (PowerPoint): 15% Notes: Late assignments will lose 10% per day. After 5 days, a late assignment will receive a mark of 0%. Not participating in class activities will result in -2%. Being late 3 times will be equivalent to 1 absence. Being more than 30 minutes late will equal 1 absence. |
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| 開講学期 ／Semester |
2019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 |
Ian L. Wilson |
| 担当教員名 ／Instructor |
Ian L. Wilson |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/08/09 |
|---|---|
| 授業の概要 ／Course outline |
In this course, open-source acoustic analysis software ("Praat") will be mastered so that students have skills to analyze speech/pronunciation beyond the classroom. Students will be taught about properties of the acoustic signal and they will be taught how to write Praat scripts to automate acoustic analysis. Students will sometimes be required to submit voice recordings demonstrating their pronunciation. This course provides basic phonetic knowledge that is necessary for work in fields such as speech recognition and speech synthesis. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
By the end of the course, students will: (a) have learned the English vocabulary for acoustics concepts (b) have acquired detailed knowledge of how to use Praat software, including writing scripts to automate acoustic measurements and to manipulate sounds (c) know how to use waveforms and spectrograms to analyze properties of speech such as formant patterns, duration, intensity, pitch (including sentence intonation), voice onset time (VOT), etc. (d) know the acoustic properties of English vowels, including schwa (e) have had much practice pronouncing English words and sentences |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to the course and to Praat software; initial recording Class 2: Acoustics glossary; English vowel acoustics Class 3: Using TextGrid files to label sounds in Praat Class 4: Praat script writing 1 Class 5: Praat script writing 2; homework assignment Class 6: Manipulation of Pitch and Duration Class 7: Intonation and rhythm in English Class 8: Midterm exam Class 9: English schwa - acoustic properties Class 10: Praat environments; acoustics of /r/ and /l/ Class 11: Praat script writing 3; homework assignment Class 12: Reading speed; Pausing during speech; voice onset time (VOT) Class 13: World Englishes (different types of English around the world) Class 14: Final recording and course review Final exam |
| 教科書 ／Textbook(s) |
Materials will be distributed in class or on the class website. This course will be organized in an online Learning Management System. Students will use Praat open-source software in class on iMac computers, make recordings, and analyze their pronunciation. Note that Praat is free to download from Praat website, if you want to download it to your own computer. |
| 成績評価の方法・基準 ／Grading method/criteria |
Participation and quizzes: 20% Homework assignments: 20% Midterm exam: 30% Final exam: 30% |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
The course instructor Ian Wilson has practical working experience. He worked for GEOS Corporation for 8 years, where he was involved in teaching English-as-a-Foreign-Language (EFL) and training EFL teachers. Based on his experience, he can teach all 4 skills (speaking, listening, reading, writing) of EFL. Praat website here: Praat website Prof. Ian Wilson's YouTube channel: Ian Wilson - YouTube CLR Phonetics Lab website: CLR Phonetics Lab Class:Lecture |
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| 開講学期 ／Semester |
2019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 |
John Blake |
| 担当教員名 ／Instructor |
John Blake |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/02/15 |
|---|---|
| 授業の概要 ／Course outline |
Newspaper articles, research articles and advertisements are written to persuade readers of something, such as the veracity of the story, the validity of the conclusions or the benefits of a product. This course aims to provide students with tools to evaluate such texts critically and not fall victim to persuasive arguments. Students are shown how to use logic to understand and evaluate written language. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
By the end of the course students will be able to: (a) identify texts containing arguments (b) identify the conclusions within arguments (c) identify the type of reasoning used (d) identify common formal and informal fallacies (e) evaluate whether arguments are sound or cogent |
| 授業スケジュール ／Class schedule |
Identifying arguments Session 1 Introduction and course orientation Session 2 Identifying arguments in texts I Session 3 Identifying arguments in texts II Session 4 Identifying arguments in texts III Session 5 Review and consolidation Identifying fallacies Session 6 Fallacies I: formal fallacies Session 7 Fallacies II: informal fallacies Session 8 Fallacies III: rhetorical ploys Session 9 Fallacies IV: mixed fallacies Session 10 Review and consolidation Evaluating arguments Session 11 Evaluating arguments in texts I Session 12 Evaluating arguments in texts II Session 13 Evaluating arguments in texts III Session 14 Review and consolidation Session 15 Final exam |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 30% Quizzes: 30% Final exam: 40% |
| 履修上の留意点 ／Note for course registration |
None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
None |
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| 開講学期 ／Semester |
2019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 |
William Alan Lingle |
| 担当教員名 ／Instructor |
William Alan Lingle |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2019/08/26 |
|---|---|
| 授業の概要 ／Course outline |
This course aims to provide students with the cognitive tools to distinguish between statements of fact and opinion, between strong and weak logical arguments, and to identify how emotions and cultural values can influence the ways in which arguments are constructed, expressed, and understood. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
By the end of the course students will be able to: 1) distinguish statements of fact from statements of opinion 2) identify sources of information by which statements of fact may be evaluated as correct or incorrect 3) identify logical arguments 4) identify appeals to cultural values and emotions within arguments 5) identify logical fallacies within arguments 6) evaluate arguments as strong or weak 7) recognize strengths and weaknesses of their own arguments and of those they disagree with |
| 授業スケジュール ／Class schedule |
Facts vs. Opinions Session 1: Facts vs. Opinions 1 Session 2: Facts vs. Opinions 2 Session 3: Facts vs. Opinions 3 Session 4: Review and Quiz Arguments Session 5: Structure of Arguments Session 6: Logical Reasoning / Venn Diagrams Session 7: Fallacies 1 Session 8: Fallacies 2 Session 9: Evaluating Strength of Arguments Session 10: Review and Quiz Emotions and Values Session 11: Logic and Morals Session 12: Cultural Values Session 13: Arguments You Disagree With Session 14: Review and Student Presentations Session 15: Final exam |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 30% Quizzes: 30% Final exam: 40% |
| 履修上の留意点 ／Note for course registration |
None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
None |