2023年度 シラバス学部

/EL3 Elective English 3

2024/01/30  現在

コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
/Semester
2023年度/Academic Year  2学期 /Second Quarter
対象学年
/Course for;
3年
単位数
/Credits
2.0
責任者
/Coordinator
パーキンズ ジェレミー
担当教員名
/Instructor
パーキンズ ジェレミー
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2023/03/20
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
[Corresponding Learning Outcomes]
(D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind.
(E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others.
(F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects.

[Competency Codes]
C-EC-003-2, C-EC-005-2, C-EC-008-2, C-EC-014-5

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 Moodle.
成績評価の方法・基準
/Grading method/criteria
Students are required to take the TOEIC test in class during the final exam week to pass this course.

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%
Active Participation                        20%
履修上の留意点
/Note for course registration
The class does not have a final exam. Instead, a final project is assigned.


コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
/Semester
2023年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3年
単位数
/Credits
2.0
責任者
/Coordinator
ロイ デボプリオ
担当教員名
/Instructor
ロイ デボプリオ
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2023/12/19
授業の概要
/Course outline
This is a basic technical communication course focused on XML and semantic web. We will spend significant time understanding the basics of XML mark-up language.

As part of this course, students will learn the basics of information design and content management. The idea is to learn how online technical content for products and services is managed and delivered in an intelligent way in the industry for customers, vendors, engineers, sales, etc. The focus would be for students to learn how product information could be designed and delivered by creating ontologies based on product information classification standards and use case scenarios.  Students will be working on project-based activities with the IT industry in mind. This course will help develop entrepreneurial thinking in our students and provide a context for understanding the IT market while developing a basic technical communication skillset.

Technical communication is the effective communication of technical or specialized topics to a variety of audiences. A lot of technical communicators are taking on the role of content strategist. Content strategies are becoming a natural evolution of technical communication that involves producing content for online audiences. While technical writers who were working before the advent of the Internet were typically producing content for print, today’s technical writers are producing content for a variety of media, including online venues like webpages, blogs, apps, and social media. If they’re going to do so effectively, they need to learn some new skill sets to help them create content that is appropriate to online media, specifically:
SEO (Search Engine Optimization)
Content auditing
Content management

These newer skill sets are important if we have to develop content that is going to be published online, rather than in print. So, computer science students need to understand not only technical writing and presentation but how information is managed and accessed online using content management and delivery systems. A content management system (CMS) helps companies manage digital content. Whole teams can use these systems to create, edit, organize, and publish content.
授業の目的と到達目標
/Objectives and attainment
goals
[Corresponding Learning Outcomes]
(D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind.
(E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others.
(F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects.

Competency Requirements: C-EC-010 & C-EC -015

We will look forward to attaining multiple goals during the quarter.
• Understand the basics of content management and delivery
• How to analyze products in the market?
• How to organize product information?
• How to use effective strategies to make information easily available?
• How to use effective strategies to help retrieve relevant information?
• How to perform simple technical writing practices
• How to think critically and analytically?
• How to author business and procedural documents?

Notes:
All assignments will be done in small groups, or as deemed necessary by the course instructor.

授業スケジュール
/Class schedule
Class1-2:
Syllabus Explanation
Introduction to XML - Lecture Sections 1 & 2
Assignment # 1 - 10%

Class 3:
Introduction to CMS (Content Management Systems) & CDP (Content Delivery Portals)
XML Lecture Section 3

Class 4:
XML vs. Semantic Web & Content Delivery Portals /  Introduction Assignment # 2 - 10%
XML Lecture Section 4

Class 4-5:
XML Lecture Section 5
Amazon's Design Theory / Amazon Website Design Assignment # 3 - 10%

Class 6-7:
XML Lecture Section 6-7
Faceted Search / Smart Home Product Description Assignment # 4 - 10%

Class 8-9:
XML Lecture Section 8-9
Introduction to Ontology / Ontology Creation with Mind Meister Assignment # 5 - 15%

Class 10-12:
XML Lecture Section 10-12
PI-Fan Classification / PI-Classification Exercise Assignment # 6 - 15%

Class 13:
Microsoft HaloLens, IoT & Dynamic Information Management / Technical Presentation on Microsoft HoloLens & Information Management Assignment # 7 - 10%

Class 14-15:
Participation in the Summer International Industry Workshop - https://etltc-acmchap.org/ip-im-schedule
Participation at the Mini-Conference on Careers in Applied Sciences - https://etltc-acmchap.org/mini-conf

Topics:
Digital Information Services & Semantics based on Content Management & Content Delivery
Part I Content Management Basics & Content Delivery
Part II Semantic Applications for Information Services

* 5% Bonus Marking Automatically Added to the Total Grade for comments and observations made during the international sessions, and based on interaction with international students, and other international guests.
教科書
/Textbook(s)
There won’t be any recommended textbook but use multiple resources along the way. You will be provided with handouts and lectures posted in Moodle, throughout the quarter.
成績評価の方法・基準
/Grading method/criteria
Introduction Assignment # 1 - 10%
Introduction Assignment # 2 - 10%
Amazon Website Design Assignment # 3 - 10%
Smart Home Product Description Assignment # 4 - 10%
Ontology Creation with Mind Meister Assignment # 5 - 15%
PI-Classification Exercise Assignment # 6 - 15%
Technical Presentation on Microsoft Hololens & Information Management Assignment # 7 - 10%
Mini-Conference & Industry Workshop Participation (and networking) - 20%


- Minor alteration to the grading criteria might be needed           
- 5% bonus marking may be applicable
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
https://www.people-text.de/en/competences-content-management-systems.html
https://www.antidot.net/content-delivery-platform/
https://www.cmswire.com/digital-marketing/what-is-intelligent-content-and-how-can-it-help-marketers/
https://www.linnworks.com/blog/artificial-intelligence-in-ecommerce


コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
/Semester
2023年度/Academic Year  3学期 /Third Quarter
対象学年
/Course for;
3年 , 4年
単位数
/Credits
2.0
責任者
/Coordinator
イリチュ ピーター
担当教員名
/Instructor
イリチュ ピーター
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2023/03/20
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.

*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
[Corresponding Learning Outcomes]
(D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind.
(E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others.
(F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects.

[Competency Codes]
C-EC-004-3, C-EC-009-6, C-EC-013-4

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
     a. Homework:
          i. Online Reading
          ii. Quiz 2 (8%)
3. History of ICT in Education B
     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
15.   Final exam week: TOEIC online
教科書
/Textbook(s)
No textbook will be used. Course material will be made available online to students via Moodle.
成績評価の方法・基準
/Grading method/criteria
Online Reading Quizzes: 80%
Project: Total 20%
     • Project Outline: 2%
     • Project Presentation (PowerPoint): 18%
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.
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.


コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
/Semester
2023年度/Academic Year  2学期 /Second Quarter
対象学年
/Course for;
3年
単位数
/Credits
2.0
責任者
/Coordinator
リングル ウイリアム
担当教員名
/Instructor
リングル ウイリアム
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2023/03/20
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
[Corresponding Learning Outcomes]
(D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind.
(E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others.
(F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects.

[Competency Codes]
C-EC-001-4, C-EC-004-2, C-EC-014-7

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: Critical Media Literacy
Session 14: Final Review Activity/Test

Final Exam Week: TOEIC online
教科書
/Textbook(s)
No textbook. Materials will be provided by instructor.
成績評価の方法・基準
/Grading method/criteria
Participation activities: 25%
Exercises: 20%
Quizzes: 30%
Final Review Activity/Test: 25%

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
None
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
All materials will be available on the course Moodle page.


コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
/Semester
2023年度/Academic Year  4学期 /Fourth Quarter
対象学年
/Course for;
3年 , 4年
単位数
/Credits
2.0
責任者
/Coordinator
ベンソン スチュアート
担当教員名
/Instructor
ベンソン スチュアート
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2023/03/20
授業の概要
/Course outline
In addition to knowing general vocabulary, knowledge of specific vocabulary related to the field of Computer Science is critical.
Comprehension of texts, articles, presentations, lectures, and classes is critical to your success in the field.

In this Computer Science vocabulary course, we will learn the most important words in the field through numerous activities of reading, writing, listening, and speaking. In addition, a computer science word list will be the focus of the course, with the goal of learning and actively using these words on context.
授業の目的と到達目標
/Objectives and attainment
goals
[Corresponding Learning Outcomes]
(D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind.
(E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others.
(F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects.

[Competency Codes]
C-EC-010-2, C-EC-011-3, C-EC-012-3

The goal of this course is to learn the most frequent Computer Science vocabulary and use these words, receptively and productively.

By the end of the course, learners will:
a) have knowledge of several vocabulary learning strategies
b) have an understanding of the most frequent vocabulary in Computer Science
c) be able to comprehend these words in reading and listening activities
d) be able to use these words in speaking and writing activities
授業スケジュール
/Class schedule
Class 1: Introduction to the course
Class 2-4: vocabulary strategies to learn CS vocabulary
Class 5-9: Learning CS vocabulary through speaking/listening activities
Class 7: Mid-term vocabulary test
Class 10-13: Learning CS vocabulary through reading/writing
Class 14: Review activity / End of term test
Final exam week: TOEIC online

教科書
/Textbook(s)
All materials will be provided by the professor via Moodle and in-class
成績評価の方法・基準
/Grading method/criteria
Active participation: 15%
4 Weekly vocabulary quizzes: 30%
Mid-term vocabulary test: 25%
End-term vocabulary test: 30%

Students are required to take the TOEIC test in class during the final exam week to pass this course.

Student obligations
It is the responsibility of students to read the syllabus and complete all assignments, quizzes, and tests on time.
If you do not bring the materials you need to class, you will be considered ‘absent.’ If you are exceed the maximum number of absences allowed, the final grade will be an F regardless of your final score for the course.

Academic integrity
Cheating/plagiarizing other’s work is not allowed. Sometimes the instructor will ask you to complete work in pairs or small groups, and sometimes individually. When working by yourself, you are not allowed to copy other students’ work.
履修上の留意点
/Note for course registration
You will need to spend time learning the vocabulary outside of class time.


コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
/Semester
2023年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3年 , 4年
単位数
/Credits
2.0
責任者
/Coordinator
ブレイク ジョン
担当教員名
/Instructor
ブレイク ジョン
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2023/03/20
授業の概要
/Course outline
The primary aim of this content-based course is to enable participants to create a prototype authorship analysis tool using Python. Participants are first introduced to similarity detection and authorship attribution. Texts are then analyzed linguistically by both genre type and author. Case studies involving solving crimes using forensic evidence are used. Participants then develop a natural language processing (NLP) pipeline to detect similarities and differences of language features among a dataset of texts. Detection will involve both rule-based parsing and machine learning. Participants will practice the four language skills required to function in an English language environment. The course culminates in a software demonstration.
授業の目的と到達目標
/Objectives and attainment
goals
[Corresponding Learning Outcomes]
(D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind.
(E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others.
(F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects.

[Competency Codes]
C-EC-009-1, C-EC-002-2

By the end of the course participants will:
(a) understand how language analysis can be used to solve crimes
(b) explain how authorship can be detected
(c) create a natural language processing pipeline in Python to analyze authorship
授業スケジュール
/Class schedule
This content of the course will be tailored to the requirements of the participants by the class teacher.

Block 1 Authorship and language

Session 1 Solving crimes using authorship analysis
Session 2 Types of authorship analysis
Session 3 Language as a fingerprint
Session 4 Similarity detection
Session 5 Case study I
Session 6 Case study II
Session 7 Review

Block 2 Prototype development

Session 8 Introduction to NLP using Python
Session 9 Introduction to the Natural Language Toolkit (NLTK)
Session 10 Scenario: Problem breakdown
Session 11 Prototype development I
Session 12 Prototype development II
Session 13 Prototype development III
Session 14 Demonstrations

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%
Coursework: 30%
Final exam: 40%

Students are required to take the TOEIC test in class during the final exam week to pass this course.
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
https://u-aizu.ac.jp/~jblake/course_authorship/authorship_unit_01.html


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