AY 2019 Undergraduate School Course Catalog

EL3 Advanced English and Technology

2019/04/25

Back
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%


Back
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/


Back
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


Back
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.


Back
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 2019/02/15
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


Back
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


Responsibility for the wording of this article lies with Student Affairs Division (Academic Affairs Section).

E-mail Address: sad-aas@u-aizu.ac.jp