2026年度 シラバス学部

/EL3 Elective English 3

2026/02/19  現在

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開講学期
/Semester
2026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
Competency Requirements: C-EC-010 & C-EC-015
更新日/Last updated on 2026/02/03
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 also 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.

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: Lecture
Syllabus Explanation
Introduction to XML - Lecture Sections 1 & 2
Assignment # 1 - 10%

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

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

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

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

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

Class 10-11: Lecture & Exercise
XML Lecture Section 10-12
PI-Fan Classification / PI-Classification Exercise Assignment #6 - 15%

Class 12-14: Lecture
Visiting lectures by a professor from the Karlsruhe University of Applied Sciences, Germany.


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
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%
Guest Lecture Content Analysis - Assignment #7 - 30%


- Minor alteration to the grading criteria might be needed.
- 5% bonus marking may be applicable
履修上の留意点
/Note for course registration
There could be minor last-minute changes to the syllabus content based on course requirements.

Visiting lectures by an expert in content management practices within the industry would be part of three class periods.

Each class meeting will consist of an initial lecture component, occupying approximately the first four to five class periods, followed by a practical exercise session in the remaining period. At designated milestones toward the end of the course, an industry guest lecturer will participate to provide professional insights and applied feedback.

Preparation/Review: Before each class, prepare by studying the lecture materials and the relevant textbook pages for the content indicated in the course plan. Also, complete any unfinished exercises before the subsequent class. The typical preparation/review time per session is 3–4 hours.
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
2026年度/Academic Year  3学期 /Third Quarter
対象学年
/Course for;
3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 2026/02/05
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 developing educational software or becoming educators.
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
[Course Content and Methods] Except for the final project presentations, each session involves a Lecture followed by a Discussion format. The sessions are designed to foster diverse learning through "thinking" and "speaking".

Class 1: Introduction to ICT in Education (Lecture/Discussion)
Class 2: History of ICT in Education A (Lecture/Discussion)
Class 3: History of ICT in Education B (Lecture/Discussion)
Class 4: Ubiquitous Learning (Lecture/Discussion)
Class 5: Active Knowledge Making (Lecture/Discussion)
Class 6: Multimodal Meaning (Lecture/Discussion)
Class 7: Recursive Feedback (Lecture/Discussion)
Class 8: Collaborative Intelligence (Lecture/Discussion)
Class 9: Metacognition (Lecture/Discussion)
Class 10: Differentiated Learning (Lecture/Discussion)
Class 11: The Future of Educational Technology (Lecture/Discussion)
Class 12: Project Presentations A (Student Presentations and Q&A)
Class 13: Project Presentations B (Student Presentations and Q&A)
Class 14: Project Presentations C (Student Presentations and Q&A)
* No Final Examination

[Pre-class and Post-class Learning] For this 2-credit quarter course, students are required to complete 4–5 hours of out-of-class study per session.

-Preparation (2 hours): Review weekly readings and explore specific ICT tools to prepare for the weekly quiz.

-Review (2-3 hours): Complete online quizzes and refine the final project presentation and outline.
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
1. Online Quizzes: 75%

2. Project Presentation: 25%

Active Participation: (Assessment of student attitude during discussions and Q&A)

Attendance requirements will follow the UoA official guidelines. Note: All quizzes and the presentation must be attempted to pass the 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
2026年度/Academic Year  4学期 /Fourth Quarter
対象学年
/Course for;
3年
単位数
/Credits
2.0
責任者
/Coordinator
ウィルソン イアン
担当教員名
/Instructor
ウィルソン イアン
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2026/02/06
授業の概要
/Course outline
In this course, open-source acoustic analysis software ("Praat") will be taught 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.

*** Note: International students in the ICTG Program are more than welcome to take this course.
授業の目的と到達目標
/Objectives and attainment
goals
[Corresponding Learning Outcomes]
(C) Graduates are able to apply their professional knowledge of mathematics, natural science, and information technology, as well as the scientific thinking skills such as logical thinking and objective judgment developed through the acquisition of said knowledge, towards problem solving.

[Competency Codes]
C-EC-001-5, C-EC-014-9

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), etc.
(d) know the acoustic properties of English vowels, including schwa
(e) have had practice pronouncing English words and sentences and measuring/evaluating their own pronunciation
授業スケジュール
/Class schedule
Each class meeting will consist of a lecture by the professor, as well as desk work by students using Praat software on computers.

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 environments; Praat script writing 2
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: Acoustics of /r/ and /l/
Class 11: Praat script writing 3; Form...Endform
Class 12: Reading speed; Pausing during speech
Class 13: World Englishes; Final recording
Class 14: Review the entire course for the Final Exam

A Final Exam will be held during the Final Exam period.

[Preparation/Review] After each class, students are expected to spend 4-5 hours studying class material, using Praat to record and analyze their speech, and writing scripts to automate speech analysis.
教科書
/Textbook(s)
Materials will be distributed in class or on the class website. This course will be organized in Moodle.  Students will use Praat open-source software in class on the computers installed in the classroom, make recordings, and analyze their pronunciation. Note that Praat is free to download from the Praat website, if you want to download it to your own computer. However, the midterm exam and final exam must be done using the classroom computer.
成績評価の方法・基準
/Grading method/criteria
Grades will be awarded based on the following:

• Active participation and quizzes: 20%
• Homework assignments: 20%
• Midterm exam: 25%
• Final Recording and Exam:  35%
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
The course instructor, Ian Wilson, worked at GEOS Corporation in the 1990s as an English instructor and a teacher trainer.

Praat official website: Praat

Office Hours: By appointment; please email the professor to set up an appointment.


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
2026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 2026/02/06
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: Inductive Reasoning & Venn Diagrams
Session 6: Deductive Reasoning & Syllogisms
Session 7: Fallacies 1: Fallacies of Presumption
Session 8: Fallacies 2: Fallacies of Relevance
Session 9: Evaluating the 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

Final Exam Week: Final Exam

Course Content and Methods: Each class will include a lecture and exercises focusing on the lesson topic. Partner and group discussions will be included.  

Preparation/Review: Students are expected to take notes and review them before class in addition to doing the assigned readings. Optional readings will also be provided for further study.

*Note that the class sequence and topics are subject to change.

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 Exam: 25%

Participation activities, exercises, and quizzes will focus on applying the cognitive skills and topic knowledge covered in class. Students are expected to take notes and review them before class. Additional reading assignments will be given according to time constraints. A review for the final exam will be given on the final class day, and a rubric will be provided on Moodle.
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
2026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
ウィルソン イアン
担当教員名
/Instructor
ウィルソン イアン
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2026/02/06
授業の概要
/Course outline
In addition to knowing general English vocabulary, knowledge of specific vocabulary related to the field of computer science (CS) is critical for CS students. Comprehension of texts, articles, presentations, lectures, and classes will help ensure your success in the field.

In this CS vocabulary course, we will learn the most important words in the field through numerous activities of reading, writing, listening, and speaking. In addition, a CS word list will be the focus of the course, with the goal of learning and actively using these words in context.

A substantial part of this course involves group work with other students, creating and presenting a corpus of vocabulary from a sub-field of CS. Regular communication with other students in the group is expected.

*** Note: This course is intended for Japanese learners of English. International students in the ICTG Program will find that this course is probably not applicable to their English proficiency level. It is recommended that high proficiency students take a different EL 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-010-2, C-EC-011-3, C-EC-012-3

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

By the end of the course, learners will:
a) know several vocabulary learning strategies
b) understand the most frequent vocabulary in CS
c) be able to comprehend these words in reading and listening activities
d) be able to use these words in speaking and writing activities
e) understand what a corpus is and how to create one
授業スケジュール
/Class schedule
Each class meeting will consist of a lecture by the professor, as well as group work by students.

Class 1: Syllabus explanation and general vocabulary level test.
Class 2: What is a corpus?
Class 3: What is vocabulary? Vocabulary Quiz 1.
Class 4: How can we analyze a corpus?
Class 5: Corpus project group work.  Vocabulary Quiz 2.
Class 6: Learning CS vocabulary through listening. Vocabulary review.
Class 7: Midterm Exam vocabulary test.
Class 8: Learning CS vocabulary through listening.
Class 9: Learning CS vocabulary through reading. Vocabulary Quiz 3.
Class 10: Corpus project group work.
Class 11: Learning CS vocabulary through listening and speaking.
Class 12: Learning CS vocabulary through writing. Vocabulary Quiz 4.
Class 13: Corpus project presentations.
Class 14: Vocabulary review for the final exam.

A Final Exam vocabulary test will be held during the Final Exam period.

[Preparation/Review] After each class, students are expected to spend 4-5 hours studying the vocabulary, completing their vocabulary workbook, building and analyzing their corpus, and studying for quizzes and exams.
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
Grades will be based on class participation, 4 vocabulary quizzes, 1 midterm exam, 1 final exam, and 1 corpus project (including presentation).

• Active participation in class: 5%
• Four smaller vocabulary quizzes: 20%
• Midterm Exam vocabulary test: 15%
• Final Exam vocabulary test: 25%
• Corpus project and presentation: 35%

Course components:
- Active participation in class: This course will have many activities or tasks in class. These tasks will be graded and will contribute to your overall final grade. It is important for you to bring the vocabulary workbook to every class; not bringing the workbook will affect your class participation evaluation. If you have to miss a class for an important reason (such as illness, or a family emergency), you should contact SAD and your professor.
- Smaller vocabulary quizzes: Every week, you will study vocabulary on your own time from the vocabulary workbook. Four times (spread throughout the course), there is a quiz conducted in class about CS vocabulary.
- Midterm Exam: The midterm vocabulary test contains vocabulary studied from classes 1-6. A make-up midterm exam will only be allowed for legitimate reasons (such as illness or a family emergency) approved by the Student Affairs Division.
- Final Exam: Held during the final exam period, the final exam vocabulary test contains vocabulary studied in the entire course. A make-up final exam will only be allowed for legitimate reasons (such as illness or a family emergency) approved by the Student Affairs Division.
- Corpus project: In small groups of about 4 students, you will create a corpus that represents a specific area in computer science. After creating and cleaning the corpus, you will analyse the corpus, investigating the lexical profile of the corpus. Finally, you will present your project.

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 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.
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
The course instructor, Ian Wilson, worked at GEOS Corporation in the 1990s as an English instructor and a teacher trainer.

Vocabulary Profiler (Lextutor) we will use for the corpus project:
https://www.lextutor.ca/vp/comp/

Office Hours: By appointment; please email the professor to set up an appointment.


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