2026年度 シラバス学部

/EL1 Elective English 1

2026/02/19  現在

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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		 ホウ　ヨンヒョン
担当教員名
／Instructor		 ホウ　ヨンヒョン
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/01/26
授業の概要
／Course outline		 This course introduces how human languages are designed and structured. Specifically, it will focus on the word, sentence and sound structure of various languages in the world showing the structural diversity of human languages as it introduces some basic concepts and terms in linguistics. Also, some interesting topics related to human language (e.g., “language acquisition”, “language and brain” and “language and thought”) will be discussed.
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-009-3, C-EC-012-4, C-EC-013-2

This course aims:
1) to introduce students the basic concepts and terms in linguistics,
2) to introduce students how languages are structured differently in many respects, and
3) to discuss some interesting topics related to human language.
授業スケジュール
／Class schedule		 Each class session will be conducted as a combination of lecture and pair/group-work activities.

Class 1. Course introduction
Class 2. Word formation
Class 3. Sentence formation
Class 4. Human speech sounds
Class 5. Sound systems
Class 6. Review for the midterm
Class 7. Midterm exam
Class 8. Child language acquisition
Class 9. Second language acquisition
Class 10. Language and thought
Class 11. Language and brain
Class 12. Multilingualism
Class 13. World Englishes
Class 14. Review for the final exam
Class 15. Final exam

Review: Complete any unfinished classwork and submit it to LMS. Review the class materials provided in each session. Complete the unit quiz after each session.

The typical review/unit quiz time per session is approximately 3-5 hours.
教科書
／Textbook(s)		 There is no textbook for this course. Course materials (e.g. lecture notes, language datasets for discussion, and exercise sheets) are available on the course Moodle page.
成績評価の方法・基準
／Grading method/criteria		 Active Participation: 15%
Comprehension Quizzes: 25%  
Midterm exam: 30%
Final exam: 30%

Notes: If you miss 4 classes or more, you cannot 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		 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		 金子　恵美子
担当教員名
／Instructor		 金子　恵美子
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/02/04
授業の概要
／Course outline		 このクラスは反転授業の形式で実施します。
https://facultyinnovate.utexas.edu/instructional-strategies/flipped-classroom

授業中、そして課題として、文構造を表す樹形図を描くことで英文を詳細に分析します。単純な文構造から始め、徐々に複雑な文章を扱い、樹形図の理解のために多くの時間を費やします。
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-001-2, C-EC-010-4, C-EC-012-8, C-EC-014-3

この授業を受講した学生は、文構造について十分な知識を習得し、自分で構文論的に英文を分析することができるようになります。
授業スケジュール
／Class schedule		 **最初の2回の授業、中間試験、および復習のための授業（第6回、第14回）を除く全ての授業は、グループワーク形式で行われます。
**最初の2回の授業と復習授業は、講義形式で行われます。

Class 1 Introduction, grammar terms
Class 2 Noun phrases
Class 3 Noun phrases (diagram)
Class 4 Noun phrases (diagram)
Class 5 Noun phrases (diagram)
Class 6    Review for the midterm exam
Class 7  Midterm Examination
Class 8 Verb phrases 1
Class 9 Verb phrases 2
Class 10 Tense and aspect
Class 11 Three kinds of objects 1
Class 12  Three kinds of objects 2
Class 13  Adjectival/adverbial
Class 14   Review for the final exam
Final Exam Week   Final Examination

予習：各授業の前に、指定された講義動画を見て課題に取り組みましょう。
復習：授業中に終わらなかった問題を完了し、Moodleに掲載されている解答と自身の解答を比較しましょう。

1回の授業あたりの標準的な予習・復習時間は約4時間です。中間試験と期末試験には、より多くの準備時間が必要となります。
教科書
／Textbook(s)		 Moodleにアップロード済み
受講生は授業の前に講義ビデオを観て宿題、練習問題をすることが求められます。
宿題を授業に持ってこなかった場合、欠席となります。
成績評価の方法・基準
／Grading method/criteria		 1. Class Participation (Presentations and participation in group work) [10% ]
2. In-class and homework assignments/quizzes [ 15% ]
3. Midterm Exam [ 35% ]
4. Final Exam [ 40% ]
履修上の留意点
／Note for course registration		 この科目は反転授業の形式で行います。
https://facultyinnovate.utexas.edu/instructional-strategies/flipped-classroom

すべての英語SR科目の単位を取得している方が望ましいです。
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 The course instructor, Emiko Kaneko, worked in Gakken School Management as an English instructor and an academic administrator. She was also in charge of the development and the quality maintenance of English speaking tests in ALC Press.

For more information about flipped classroom/反転授業について.
https://facultyinnovate.utexas.edu/instructional-strategies/flipped-classroom


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		 キルパトリック　アレクサンダー
担当教員名
／Instructor		 キルパトリック　アレクサンダー
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/01/15
授業の概要
／Course outline		 The focus of this course is on the structural properties of human language as illuminated by modern linguistic theory. Topics will include sound patterns, sentence structure, word formation, and meaning. Students will analyze language data from a variety of languages, improving their understanding of linguistic systems and their applications.
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.

[Competency Codes]
C-EC-001-3, C-EC-010-6, C-EC-014-4

By completing this course, students will:
1) Understand patterns seen across human languages.
2) Analyse language data in various languages.
3) Use English to describe linguistic phenomena.
4) Understand how sound patterns can aid in language learning.
授業スケジュール
／Class schedule		 Class 1: Introduction to Linguistics
Class 2-4: Speech sounds across languages (Chapter 3: Phonetics)
Class 5-6: Sound Patterns across languages (Chapter 4: Phonology)
Class 7: Midterm Review Class
Class 8: Midterm Exam
Class 9-10: Words (Chapter 5: Morphology)
Class 11-12: Sentence Structure (Chapter 6: Syntax)
Class 13-14: Meaning in Language (Chapter 7: Semantics)
教科書
／Textbook(s)		 Title: Essentials of Linguistics, 2nd Edition
ISBN: 978-1-9275-6550-6
Price: FREE (Online)
Access: https://ecampusontario.pressbooks.pub/essentialsoflinguistics2/
成績評価の方法・基準
／Grading method/criteria		 Homework Assignments: 30%
Midterm Exam: 25%
Active participation: 10%
Review Activity/Test: 35%


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		 ニコラス　アラン
担当教員名
／Instructor		 ニコラス　アラン
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/01/30
授業の概要
／Course outline		 When we learn a foreign language, we typically focus on grammar, vocabulary and pronunciation. These are important! However, we sometimes forget to think about pragmatics- the ways in which our language choices can change in different social situations. This short course introduces you to the pragmatics of the English language. You will learn about how conversation is constructed in real-life situations, and how our grammar patterns and vocabulary choices vary in different contexts.

The course introduces the concept of speech-as-action. We will use the tools of conversation analysis to describe authentic talk and gain an understanding of how it can vary according to context. You will have opportunities to analyse model talk and apply apply knowledge to your own spoken interactions.

Course components
1. In-class activities/active participation
You should attend all classes and participate in all activities. Attendance will be taken at the beginning of class. Failure to actively participate in class may lead to points being deducted from the “active participation” category. If you have to miss a class for a legitimate reason (e.g., illness or family emergency), you must contact Allan Nicholas in advance.

2. Assignments/homework
Sometimes your instructor will give you assignments to complete for homework. It is important to complete all assignments and hand them in on time.

3. End-term assessments
There is an end-term exam. Make-up exams will only be given if you miss a test for a legitimate reason (e.g. illness or family emergency).

4. End-term project
You will complete a project at the end of the term to demonstrate your ability to apply the things you have learnt throughout the 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-002-6     C-EC-010-5     C-EC-0012-6

By the end of the course, learners will:
a) have some basic knowledge of Speech Act Theory (SAT)
b) have knowledge of fundamental concepts related to Conversation    Analysis (CA)
c) have an understanding of how talk is influenced by social context
d) be able to analyse model conversations using CA concepts
e) be able to analyse their own English language interactions using CA concepts
授業スケジュール
／Class schedule		 Each class session will be conducted as a combination of lecture and group-work activities. The instructor will regularly provide feedback on in-class and assigned activities.
Class 1: Introduction to the course
Class 2: Speech-as-action
Class 3: Basic CA concepts- adjacency pairs and preferred/dispreferred turns
Class 4: How talk-in-interaction is organised- speech acts over multiple turns
Class 5: The speech act of requesting- structure
Class 6: The speech act of requesting- the request turn
Class 7: Social context and language choices
Class 8: Repairing a conversation; changing and closing topics
Class 9: The listener’s role
Class 10: Maintaining a conversation
Class 11: Culture and pragmatic norms
Classes 12-13: End-term assessment
Class 14: End-term project
***Note: this syllabus is subject to change.***
Before each class, study and review the assigned materials. Between classes, review the materials provided in each session, and complete assigned tasks. Typical preparation and review time per session is approximately three-four hours.
教科書
／Textbook(s)		 All materials will be provided by the instructor.
成績評価の方法・基準
／Grading method/criteria		 Active participation: 5%
Final examination: 45%
Assignments: 20%
End-term project: 30%

Student obligations
It is the responsibility of students to read the syllabus and complete all assignments, tests and projects 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		 This course is designed for intermediate-level Japanese learners of English; it is not suitable for advanced English speakers.
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.)		 Every student must enroll in the course through Moodle. Weekly announcements will be uploaded on the course page. 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).

The instructor has experience in private industry.


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		 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 help students take control of their language learning. Using online corpus resources, students will learn how to identify common patterns in language use. Students will learn how to use this data to improve their English proficiency.
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-011-5, C-EC-012-7, C-EC-14-6

By the end of the course students will be able to:

1) identify high-frequency word pairs (noun-verb / adjective-noun, etc.)
2) distinguish between words with similar meanings
3) use prepositions (in, on, by, for, etc.) and articles (a, an, the) in more
        natural ways
4) understand the common ‘moves’ in academic writing and identify
        common words used to achieve these ‘moves’
5) identify resources for learning academic vocabulary words
6) understand how to use free online corpus tools independently to answer
        their own questions and improve their use of English
授業スケジュール
／Class schedule		 Session 1: Introduction to Corpus Linguistics
Session 2: Introduction to Collocations
Session 3: Word frequency and n-grams
Session 4: Concordances - Contrasting similar words
Session 5: Using Prepositions (in, on, with, for, etc.)
Session 6: Using Articles (a, an, the)
Session 7: Academic Vocabulary and Style
Session 8: Common ‘Moves’ in Academic Writing
Session 9: Common Words for Achieving these ‘Moves’
Session 10: Using Modals (can, might, may, etc.)
Session 11: How to Use Continuous Tense Verbs
Session 12: How to Use Participle Forms of Verbs
Session 13: Work on Final Projects
Session 14: Present Final Projects

Course Content and Methods: Each class will include a lecture and exercises focusing on the lesson topic.

Preparation/Review: Students are expected to take notes and review them before class in addition to accessing online tools to complete the course assignments. Links to all required resources will be provided on Moodle.

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

Final Exam Week: Final Exam (attendance required to pass the course)
教科書
／Textbook(s)		 No textbook. Materials will be provided.
成績評価の方法・基準
／Grading method/criteria		 Exercises: 30%
Quizzes: 30%
Final project: 20%
Final Exam: 20%

Exercises and quizzes will focus on applying the practical skills and keyword knowledge that are taught in class. Final Project and Exam rubrics will be provided in 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.)		 Materials and links 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 　4学期 ／Fourth Quarter
対象学年
／Course for;		 3年
単位数
／Credits		 2.0
責任者
／Coordinator		 金子　恵美子
担当教員名
／Instructor		 金子　恵美子
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/02/04
授業の概要
／Course outline		 ##This course is specifically tailored for _Japanese learners of English_. You need (near)-native level of Japanese ability to successfully learn from this course.##

　この授業では、多読と精読の両方に取り組みます。皆さんが1年生の時に行った多読（Exntensive Reading)は、充分な読書量があれば、全般的な英語能力を向上すると言われています。この科目では多読図書4万語を読破し、ブックレポートを作成し、学期の最後で口頭発表します。
　精読は難しい英文を文構造や意味を分析し、必要な時は辞書を使いながら読解する読み方を指します。このコースでは、この2つの読み方を通し、英文読解の流暢性を高めることを目指します。
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-002-4, C-EC-011-4, C-EC-014-2

This class is to develop reading fluency (reading and understanding English text quickly). The goal of this course is to read more than 40,000 words in three months and orally present one of the book reports to class.

この授業の目的は、読解の流暢さ（英文を素早く理解する力）を養うことです。目標は多読用図書4万語を読み、ブックレポートを口頭発表することです。
授業スケジュール
／Class schedule		 プレゼンテーションの授業（第3、5、7、12、13、14回目）及び中間試験（第8回目）を除く全ての授業は講義形式で行われます

Class 1  Introduction, reading speed check
Class 2  Intensive reading 1
Class 3  Quick reading and book report presentation 1
              ### Read 5,000 words ###
Class 4  Intensive reading 2
Class 5  Quick reading and book report presentation 2
              ### Read 10,000 words ###
Class 6  Intensive reading 3
Class 7  Reading speed check 2, Quick reading and book report presentation 3
Class 8  Midterm exam
Class 9  Intensive reading 4
              ### Read 25,000 words ###
Class 10  How to present a book report and practice
Class 11  Intensive reading 5 [Field of your interest]
Class 12  Quick reading and book report presentation 4
Class 13  Students’ presentation 1
Class 14  Reading speed check 3, Students’ presentation 2
                ### Read 40,000 words ###
Final Exam Week    Final examination

宿題と多読には通常、約60時間を要します。
教科書
／Textbook(s)		 Graded readers are found in the library and online. Some of them are available online.
Supplementary materials will be distributed in class.

多読用図書は図書館、または一部はオンラインのebookで読むことができます。補助教材は授業中に配布します。
成績評価の方法・基準
／Grading method/criteria		 1. Number of words and books that you have read [30%]
2. Midterm Exam [20% ]
3. Review test [ 20% ]
4. Book report [10%]
5. Slides and presentation [15%]
6. Active class participation [5%]
履修上の留意点
／Note for course registration		 - You need to spend time reading graded readers outside the class.
- Successful completion of English Strongly Recommended Courses is highly recommended.
- Due to the characteristics of the course, if you are (near-)native speakers of English, registration for this course is NOT recommended.

授業外に自分の時間で多読用図書を読むことが必要。
英語SRの単位をすべて習得していることが望ましい。
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 The course instructor, Emiko Kaneko, worked in Gakken School Management as an English instructor and an academic administrator. She was also in charge of the development and the quality maintenance of English speaking tests in ALC Press.

About extensive reading
http://www.toyota-ct.ac.jp/intro/education/student_support/tadoku.html


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		 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		 The focus of this course is on the United Nations Sustainable Development Goals (SDGs). In every class, a specific global issue will be discussed in English. Students will practice their English vocabulary, reading, listening, and especially speaking every class. Students will make short oral presentations and be required to participate in small-group discussions every class. In order to succeed in this course and fully participate in discussions, students are strongly recommended to have a TOEIC score of at least 550 points before enrolling.

*** Note: International students in the ICTG Program are very welcome to take this course. Some of the listening exercises will probably be easy for you, but you will be expected to fully participate in all aspects of the course, and to take the lead during group discussions.***
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-001-6, C-EC-002-7, C-EC-004-4, C-EC-009-7, C-EC-011-6

By completing this course, students will
(1) increase their English vocabulary and practice reading current topics
(2) practice listening to English presentations and discussions by others
(3) research about various efforts towards achieving SDGs around the world
(4) practice making English speeches and participate in discussions about SDGs
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 and discussions between students.

Class 1: What are SDGs?
Class 2: What is a woman-friendly society?
Class 3: Does saving infants’ lives slow population growth?
Class 4: Can technology solve the water crisis?
Class 5: How can quality education for all be achieved?
Class 6: What does it mean to be a sustainable city?
Class 7: Will "Black Companies" survive in the future?
Class 8: How can we reduce food waste?
Class 9: Is a world without plastic possible?
Class 10: How can we embrace diversity in society?
Class 11: What kind of energy is affordable and clean?
Class 12: Short oral presentations (without notes) and Q&A
Class 13: What is behind the fashion industry?
Class 14: Final Speaking Assignment (without notes)

No Final Exam will be held for this course. The Final Speaking Assignment serves that purpose.

[Preparation/Review] After each class, students are expected to spend 4-5 hours studying the vocabulary, doing online research and collecting data about SDGs as instructed, and reading ahead in the textbook.
教科書
／Textbook(s)		 Title: “SDGs x Discussion”
ISBN: 978-4-7647-4150-8
Price: ¥2100
Publisher: Kinseido Publishing Co. Ltd. (Tokyo)
Publisher website: Kinseido

*** Note: You MUST purchase the textbook, as there are exercises that you will do in the textbook.
成績評価の方法・基準
／Grading method/criteria		 Grades will be awarded based on the following:

• Online vocabulary quizzes: 15%
• Online listening quizzes: 15%
• Active participation in discussions, including Q&A: 25%
• Short oral presentation and Q&A: 15%
• Final speaking assignment: 30%

Student obligations:
Students must purchase the textbook (it will be available in the campus bookstore) before the start of the course. The textbook must be brought to every class, as it contains activities that will be done during class. Students must also actively participate in group discussions with other students.
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.

UN SDGs website: SDGs

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 　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		 A technology business is not merely about producing tech-related products; it's about creating value through innovation, understanding market needs, and leveraging technology to improve lives and businesses. As technology continues to evolve, so will the nature of these businesses, requiring them to stay agile and adaptable in a fast-paced environment. The concept of a technology business encompasses organizations that leverage technology to create products or services, solve problems, and drive innovation across various sectors. This course introduces computer science majors to the fundamentals of launching and managing technology-driven businesses. It covers topics such as market identification, technology product development, business models, marketing, funding, and scaling a venture, offering both theoretical understanding and practical applications.
Our course discussions will center on the following:
Types of Technology Businesses:
Software Companies: Develop applications and software solutions, such as operating systems, productivity tools, and enterprise software (e.g., Microsoft, Adobe).
Hardware Manufacturers: Produce physical devices and equipment, including computers, smartphones, and IoT devices (e.g., Apple, Samsung).
SaaS (Software as a Service) Providers: Offer software solutions on a subscription basis, often hosted in the cloud (e.g., Salesforce, Zoom).
E-commerce Platforms: Facilitate online buying and selling, leveraging technology to connect consumers with products (e.g., Amazon, eBay).
Tech Startups: Emerging companies that focus on innovative solutions or disruptive technologies, often in areas like artificial intelligence, blockchain, and biotech.
Technology businesses employ various business models, including:
Subscription Models: Charging customers a recurring fee for access to software or services (e.g., Netflix, Adobe Creative Cloud).
Freemium Models: Offering basic services for free while charging for premium features or capabilities (e.g., Spotify, LinkedIn).
Direct Sales: Selling products directly to consumers or businesses through physical or online stores (e.g., Dell, Best Buy).
Marketplace Models: Creating platforms that connect buyers and sellers (e.g., Airbnb, Etsy).
授業の目的と到達目標
／Objectives and attainment
goals		 Learning Objectives:
By the end of the course, students should be able to:
Understand key concepts in technology-driven business creation.
Develop and market technology products that solve real-world problems.
Apply business models suited to technology companies.
Gain insights into funding, scaling, and managing tech businesses.
This 7-week course provides an intensive exploration of the business aspects of technology, equipping computer science students with a foundation in how to turn tech innovations into successful business ventures. Each assignment is designed to build on previous knowledge, guiding students from identifying market opportunities to pitching and scaling their ideas.
授業スケジュール
／Class schedule		 Course Outline with Weekly Assignments: Lecture
Week 1: Introduction to Technology Business
Topics:
What is a technology business?
Types of technology businesses (software, hardware, SaaS, platforms).
The role of computer scientists in the tech business landscape.
Assignment:
Tech Business Case Study
Task: Choose a successful tech company (e.g., Microsoft, Google, Tesla) and write a 700-word report on its origin, business model, and technology.
Investigate the Suggested Sources:
Company websites and annual reports (Microsoft, Google, Tesla).
Business case studies on platforms like Harvard Business Review or Stanford Business School archives.
Books like "How Google Works" by Eric Schmidt and Jonathan Rosenberg or "Elon Musk" by Ashlee Vance.
You can also refer to LLM models for citations and references on the above and rephrase your analysis.

Week 2: Identifying Market Needs and Opportunities in Tech (Lecture & Exercise)
Topics:
Understanding market needs.
Identifying gaps where technology can solve problems.
Tools for researching market opportunities.
Assignment:
Market Opportunity Report
Task: Identify a specific market (e.g., healthcare, education, finance) and research how technology is addressing or could address a major need. Write a 700-word report.
Investigate the Suggested Sources:
Industry reports from McKinsey, Gartner, and Forrester on tech trends.
Government and industry data on markets (e.g., OECD reports, Statista).
White papers and tech blogs like TechCrunch and Wired.
You can also refer to LLM models for citations and references on the above and rephrase your analysis.

Week 3: Business Models in Technology (Lecture & Exercise)
Topics:
Overview of different business models in technology: SaaS, hardware sales, freemium, subscription.
Case studies of how companies apply business models.
Assignment:
Business Model Canvas
Task: A. Create a Business Model Canvas for a tech product or service idea. Use the framework to fill in areas like value proposition, customer segments, revenue streams, and key partners. B. Design a UML diagram to demonstrate your ideas.
Investigate the Suggested Sources:
Business Model Generation by Alexander Osterwalder (for understanding the Business Model Canvas).
Online resources and examples from Strategyzer.
Case studies from Harvard Business Review or MIT Sloan Management Review.
You can also refer to LLM models for citations and references on the above, and rephrase your analysis.

Week 4: Technology Product Development (Lecture & Exercise)
Topics:
The process of building a technology product.
Agile development, lean startup, and MVP (minimum viable product).
Tools and platforms for prototyping and development.
Assignment:
Prototype Development Plan
Task: Create a development plan for a tech product, including the stages of product creation, user testing, and iteration. Present a wireframe or mockup.
Investigate the Suggested Sources:
Books like The Lean Startup by Eric Ries.
Prototyping tools like Figma, InVision, or Balsamiq.
GitHub repositories and technical blogs for coding prototypes.
You can also refer to LLM models for citations and references on the above, and rephrase your analysis.

Week 5: Marketing and Sales for Technology Businesses (Lecture & Exercise)
Topics:
Marketing strategies for tech businesses.
Digital marketing, SEO, social media, and growth hacking.
Sales strategies: direct sales, channel sales, partnerships.
Assignment:
Marketing Plan for a Tech Product
Task: Develop a 1-2 page marketing strategy for a tech product, detailing the target audience, marketing channels, and key metrics to measure success.
Suggested Sources:
Blogs like HubSpot, Neil Patel, and Buffer for digital marketing strategies.
Books like Traction: How Any Startup Can Achieve Explosive Customer Growth by Gabriel Weinberg and Justin Mares.
Marketing analytics platforms like Google Analytics are examples of performance tracking.
You can also refer to LLM models for citations and references on the above, and rephrase your analysis.

Week 6: Funding Technology Startups (Lecture & Exercise)
Topics:
Overview of funding stages: bootstrapping, angel investment, venture capital, crowdfunding.
How to pitch to investors.
Key components of a pitch deck.
Assignment:
Investor Pitch Deck
Task: Create a 10-slide pitch deck for a tech business idea, covering the problem, solution, market opportunity, business model, financial projections, and funding needs.
Investigate the Suggested Sources:
Example pitch decks from successful startups (searchable online via Pitch Deck Examples websites).
Books like Pitch Anything by Oren Klaff and Venture Deals by Brad Feld.
Blogs from VC firms like Sequoia Capital or Andreessen Horowitz.
You can also refer to LLM models for citations and references on the above, and rephrase your analysis.

Week 7: Scaling and Managing a Technology Business (Lecture & Exercise)
Topics:
Challenges of scaling a tech business: team growth, infrastructure, and customer acquisition.
Operational management in technology companies.
Legal and regulatory considerations for scaling.
Assignment:
Scaling Strategy
Task: Write a 700-word report detailing how you would scale your tech business idea from prototype to full product, including team growth, infrastructure, and legal concerns.
Investigate the Suggested Sources:
Books like Blitzscaling by Reid Hoffman.
Blogs and interviews with startup founders (e.g., First Round Review, Y Combinator blog).
Regulatory guidelines on scaling businesses in different industries (government websites, industry associations).

* You can also refer to LLM models for citations and references on the above and rephrase your analysis.
教科書
／Textbook(s)		 No textbook is required for this course. All materials will be based on lecture notes, supplementary readings, and online resources.
成績評価の方法・基準
／Grading method/criteria		 Assessment Breakdown:
Weekly Assignments (70%)
Final Pitch Deck and Scaling Strategy (30%)

Grading Method/Criteria:
The grading structure is designed to assess students' understanding of the core concepts related to technology-driven businesses and their ability to apply them to real-world scenarios. The grading breakdown is as follows:

Weekly Assignments (70%)
Each week’s assignment focuses on a specific aspect of a technology business, building up to a comprehensive understanding by the end of the course. Weekly assignments are weighted equally at 10% each and will be evaluated based on:
Clarity and Depth of Analysis: Demonstrating a thorough understanding of the topic.
Use of Research and Sources: Effectively utilizing recommended sources and integrating data or insights.
Originality and Creativity: Coming up with unique ideas or innovative solutions.
Presentation and Professionalism: Well-structured, clear, and concise writing or presentation.

Final Pitch Deck and Scaling Strategy (30%)
The final project is divided into two parts:
Pitch Deck (20%): Assessed the quality and clarity of the business idea, its problem-solution fit, market opportunity, financial projections, and design professionalism.
Scaling Strategy (10%): Evaluated based on the feasibility and strategic depth in terms of scaling, team growth, infrastructure, and legal/operational considerations.
Criteria: Innovation, realism, practicality, and use of concepts from throughout the course will be key factors.
履修上の留意点
／Note for course registration		 Course Notes:
WEEK 1: Types of Technology Businesses:
WEEK 2: Understanding Market Needs:
WEEK 3: Different Business Models in Technology:
WEEK 4: Technology Product Development
WEEK 5: Marketing and Sales for Technology Businesses
WEEK 6: Funding Technology Startups
WEEK 7: Scaling and Managing a Technology Business


Moderate changes to the syllabus may be necessary depending on student ability and time pressure.

Each class meeting will consist of an initial lecture component, occupying approximately 30-40% of the class time, followed by a practical exercise session in the remaining period.

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.)		 Moderate to Advanced English language proficiency would be an advantage.
Reference materials will be provided as required.


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		 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 delves into the dynamic interplay between Artificial Intelligence (AI) and language learning. It offers a critical analysis of how AI technologies are revolutionizing traditional language acquisition methods, fostering innovative, interactive, and tailored learning experiences. Students will explore both the beneficial advancements and the challenges inherent in integrating AI into language education. The curriculum encompasses a range of topics such as Feedback, Personalized Learning, Grammar, Pronunciation, Gamification, and Ethical Considerations. Given the rapidly evolving nature of this field, the specific content of these topics may be subject to annual updates. The course aims to provide students with a comprehensive understanding of AI's role in language learning and to develop their ability to utilize this technology responsibly and effectively in their own language studies.
授業の目的と到達目標
／Objectives and attainment
goals		 [Competency Codes] C-EC-009-3, C-EC-012-9, C-EC-006-1

[Corresponding Learning Outcomes]

1. 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.

2. 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.

[Course Objectives and Attainment Targets] By the end of this course, students will be able to:

1. Explain the Role of AI in Language Learning: Describe and identify how various AI technologies (e.g., LLMs, speech recognition) are applied to modernize language education.

2. Critically Evaluate AI Tools: Analyze and contrast the pedagogical benefits and limitations of specific AI-driven language acquisition methods.

3. Assess Ethical and Cultural Impact: Identify and discuss the ethical considerations, such as data privacy and bias, and the cultural implications of utilizing AI tools in global education.

4. Implement Practical AI Solutions: Design and demonstrate effective AI prompt strategies and digital workflows to enhance personal and professional language learning efficiency.
授業スケジュール
／Class schedule		 Class 1: Introduction to AI in Language Learning (Lecture/Discussion)
Class 2: Feedback and Correction (Lecture/Exercise)
Class 3: Personalized Learning (Lecture/Discussion)
Class 4: Learning of Vocabulary and Grammar (Lecture/Exercise)
Class 5: Speech Recognition and Pronunciation Training (Lecture/Exercise)
Class 6: Dialogic, Chatbots and Conversational Practice (Lecture/Exercise)
Class 7: Gamification in AI Language Learning (Lecture/Discussion)
Class 8: Immersive Learning (Lecture/Exercise)
Class 9: Continuous Learning (Lecture/Discussion)
Class 10:Language Diversity, Accessibility, and Ethics (Lecture/Discussion)
Class 11: AI Prompt Design (Exercise/Seminar)
Class 12: Review and Project Workshop (Exercise/Seminar)
Class 13: Presentation Day 1 (Seminar/Discussion)
Class 14:: Presentation Day 2 (Seminar/Discussion)

[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): Read assigned articles and research weekly keywords related to specific AI technologies (e.g., "Large Language Models," "Speech-to-Text").

-Review (2-3 hours): Complete the weekly online quiz and experiment with the AI tools introduced in class to prepare for the final presentation.
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%
履修上の留意点
／Note for course registration		 Late assignments will lose 10% per day.
After 5 days, a late assignment will receive a mark of 0%.

Attendance requirements will follow the UoA official rules.
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 The course instructor(s) has working experiences: The instructor is a Senior Associate Professor specializing in ICT in Education and mLearning, with extensive research experience in digital pedagogy and educational technology.

Course material will be made available on the course management system.

Office hours: To be announced on the course management system.


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		 キルパトリック　アレクサンダー
担当教員名
／Instructor		 キルパトリック　アレクサンダー
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/01/15
授業の概要
／Course outline		 This course is an introduction to machine learning techniques and their applications in linguistics, focusing on practical skills and theoretical understanding. Students will learn foundational statistical concepts and data engineering, and gain hands on experience in constructing machine learning algorithms such as k-means clustering, decision trees, random forests, and extreme gradient boosted algorithms (XGBoost). The course culminates in a final project where students apply learned methods to real-world linguistic problems.
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 completing this course, students will:
1) Understand the basic principles of machine learning and its applications to linguistic data.
2) Use R and Praat to analyze linguistic data, including phonetic and text-based datasets.
3) Apply machine learning algorithms to linguistic tasks, such as clustering, classification, and prediction.
4) Develop the ability to critically evaluate machine learning methods and their ethical implications in linguistics.
5) Present findings from linguistic analyses effectively using English.
授業スケジュール
／Class schedule		 Class 1: Introduction to Machine Learning, R, and Praat.
Class 2: Statistical Primer and Data Engineering
Class 3: Ethics in Machine Learning
Class 4: Final Project Workshop
Class 5: Unsupervised Machine Learning Algorithms
Class 6: Introduction to Supervised Machine Learning Algorithms
Class 7: Random Forests and Hyperparameter Tuning
Class 8: Extreme Gradient Boosted Algorithms
Class 9: Phonetics and Speech Recognition
Class 10: Applications in Sentiment Analysis
Class 11: Pre-trained Language Models
Class 12: Natural Language Processing
Class 13 & 14: Final Project Presentations
教科書
／Textbook(s)		 No textbook.
All materials will be provided.
成績評価の方法・基準
／Grading method/criteria		 Weekly Problems: 25%
Active Participation: 10%
Final Report: 40%
Oral Presentation: 25%


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		 カー　ニコラス
担当教員名
／Instructor		 カー　ニコラス
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/01/25
授業の概要
／Course outline		 この授業を履修すれば、英語に対する理解・認識が根本から覆った、と感じるでしょう。英語を一連の文法規則に縛られたものと捉えるのではなく、概念的に理解する方法を学びます。このアプローチにより、英文法も突き詰めれば人間の認知の産物であることに気づき、難解という評判が独り歩きしている英文法が「ああ、実はこういうことだったのか」、と深く納得できることにもつながります。この授業で学ぶそのような知識は、英語力の向上は無論のこと、生成AIが作成したテキストをより適切に評価する、といったこれからの時代に必須な能力も育みます。
授業の目的と到達目標
／Objectives and attainment
goals		 (D) 人間社会を地球的な視点から多面的にとらえ、自然と人間との共生、人類の幸福･健康･福祉について考えることができる
(E) 文書、口頭、情報メディアなどを通じて、自らの思考・判断を国の内外において効果的に表現し、他者に伝えるとともに、他者の発信した情報や意見を理解することができる
(F) 他分野の人を含めた他者との協働において、自己及び他者のなすべき行動を判断し、実行・働きかけるとともに、与えられた制約の下で計画的に仕事を進め、まとめることができる

[Competency codes]
C-EC-003-2 C-EC-005-3 C-EC-011-6 C-EC-012-4

このコースを修了すると、受講生は以下の力を身につけることができます：

1. 修飾と数量表現の理解
英語で物事を説明・修飾したり、数量を適切に表す方法を学び、伝わる英語表現力を高めます。
2. 出来事を「時間の単位」として捉えるスキル
英語の時制や時間的視点を使って、出来事をどのように配置し、表現すればよいかを身につけます。
3. 空間的な関係性の把握
英語における空間的な関係を正しく理解し、状況に合わせて自然に使いこなす力を養います。
4. 生成AIが作った英語テキストの評価能力
最先端のAIが生成した英語文を批判的に読み解き、質や意図を評価できるリテラシーを身につけます。  
授業スケジュール
／Class schedule		 各回の授業は、講義とグループワークを組み合わせて行います。授業の重要な段階において、担当教員が活動内容に対してフィードバックを行います。
Class 1: 導入と基本事項
Class 2: (換喩（メトニミー）
Class 3: 隠喩（メタファー）
Class 4: 復習
Class 5: 事物のグラウンディング ①
Class 6: 事物のグラウンディング ②
Class 7: 量化（数量表現）：数量詞
Class 8: 修飾（性質づけ）：修飾語
Class 9: 復習と振り返り Review
Class 10: 事態のタイプ：アスペクト（相）
Class 11: 時間におけるグラウンディング ①
Class 12: 時間におけるグラウンディング ②
Class 13: 将来のグラウンディング（未来表現）
Class 14: 復習
***期末試験は試験期間中に実施します***

【予習・復習】
各回の授業に先立ち、LMS（学習管理システム）に掲載された事前学習資料に目を通し、内容を理解しておくこと。 また、授業内で完了できなかった課題は、授業後にLMSへ提出すること。あわせて、各回の授業で提供される資料を復習し、授業後に課される宿題に取り組むこと。 毎回の予習・復習の目安は約3～5時間とする。
教科書
／Textbook(s)		 授業で使用するすべての資料は、授業内またはコースサイトを通じて配布します。
成績評価の方法・基準
／Grading method/criteria		 Active Participation: 10%
Homework Assignments: 25%
In-class Tasks: 30%
Final Exam: 35%
履修上の留意点
／Note for course registration		 【備考】本授業は主に英語で行われます。
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 This course is designed for non-native speakers of English.  


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		 カー　ニコラス
担当教員名
／Instructor		 カー　ニコラス
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2026/01/25
授業の概要
／Course outline		 本授業では、英語に対する考え方を新しくすることを目指します。
英語を単なる文法規則の集まりとしてではなく、「意味を伝えるための道具」として理解する視点を身につけます。具体的には、換喩（メトニミー）や比喩（メタファー）といった概念を通して、コンピュータサイエンスにおける複雑な考え方がどのように英語で表現されているかを学びます。これにより、英語をより深く理解するための考え方や分析の方法を習得します。また、本授業で学ぶ内容は、コンピュータサイエンス分野の英文読解や英語による表現力の向上にも役立ちます。たとえば、ゲームの説明、システムの動作の説明、技術的な内容をわかりやすく伝える文章の作成など、専門分野で必要とされる英語力を高めることができます。
授業の目的と到達目標
／Objectives and attainment
goals		 (D) 人間社会を地球的な視点から多面的にとらえ、自然と人間との共生、人類の幸福･健康･福祉について考えることができる
(E) 文書、口頭、情報メディアなどを通じて、自らの思考・判断を国の内外において効果的に表現し、他者に伝えるとともに、他者の発信した情報や意見を理解することができる
(F) 他分野の人を含めた他者との協働において、自己及び他者のなすべき行動を判断し、実行・働きかけるとともに、与えられた制約の下で計画的に仕事を進め、まとめることができる

[Competency codes]
C-EC-004-4 C-EC-005-3 C-EC-011-6 C-EC-012-5

このコースを修了すると、受講生は以下の力を身につけることができます：

(1) 換喩や比喩を通して、英語がどのように複雑な意味を構築しているかを理解する。
(2) 文の形や出来事の捉え方の違いによって、意味がどのように変化するかを理解し、表現できるようになる。
(3) 英語における空間の捉え方を理解し、意味の違いを説明できるようになる。
(4) 出来事の「現実性」や「可能性」の違いを英語で表現できるようになる。
授業スケジュール
／Class schedule		 各回の授業は、講義とグループワークを組み合わせて行います。授業の重要な段階において、担当教員が活動内容に対してフィードバックを行います。

第1回：英語の見方を変える ― 導入
第2回：英語の意味のしくみ ― 換喩と比喩の基礎
第3回：コンピュータサイエンスにおける意味構造 ― 換喩と比喩（1）
第4回：コンピュータサイエンスにおける意味構造 ― 換喩と比喩（2）
第5回：複雑な文の意味を読み解く
第6回：出来事の捉え方と文のパターン（1）
第7回：出来事の捉え方と文のパターン（2）
第8回：理解の整理 ― まとめ
第9回：空間の捉え方を英語で考える（1）
第10回：空間の捉え方を英語で考える（2）
第11回：空間の捉え方を英語で考える（3）
第12回：現実と可能性の表現 ― グラウンディング（1）
第13回：現実と可能性の表現 ― グラウンディング（2）
第14回：総合的理解 ― まとめ
***期末試験は試験期間中に実施します***

【予習・復習】
各回の授業に先立ち、LMS（学習管理システム）に掲載された事前学習資料に目を通し、内容を理解しておくこと。

また、授業内で完了できなかった課題は、授業後にLMSへ提出すること。あわせて、各回の授業で提供される資料を復習し、授業後に課される宿題に取り組むこと。

毎回の予習・復習の目安は約3～5時間とする。
教科書
／Textbook(s)		 授業で使用するすべての資料は、授業内またはコースサイトを通じて配布します。
成績評価の方法・基準
／Grading method/criteria		 Active Participation: 10%
Homework Assignments: 25%
In-class Tasks: 30%
Final Exam: 35%
履修上の留意点
／Note for course registration		 本授業は、英語を母語としない学生を対象としています。


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		 ウィルソン　イアン
担当教員名
／Instructor		 TBD-3
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 give students the tools to evaluate language learning apps and make informed decisions about the apps they use to continue their second language development.

*** Note: International students in the ICTG Program are 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.
(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.

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

By the end of the course students will be able to:
1) Understand the foundations of Second Language Acquisition.
2) Analyze their own learning needs, preferences, and strategies.
3) Critically evaluate app-based language learning platforms.
4) Understand and interpret key programming and algorithmic features of language apps.
5) Design and pitch innovative features for language learning apps.
授業スケジュール
／Class schedule		 Each class meeting will consist of a lecture by the professor.

Class 1: Introduction to App-Based Language Learning
Class 2: Foundations of Second Language Acquisition (SLA)
Class 3: Cognitive Factors in L2 Learning
Class 4: Motivation and Engagement in Digital Learning
Class 5: Major Language Learning Apps: Landscape and Critique
Class 6: App Feature Deep Dive: Vocabulary Learning and Spaced Repetition
Class 7: Grammar, Pronunciation, and Productive Skills in Apps
Class 8: UX and Micro-Interaction Design for Language Apps
Class 9: Data, Tracking, and Personalization
Class 10: Experimentation and A/B Testing
Class 11: Evaluating Learning Curves and User Progress
Class 12: Hands-On App Evaluation Workshop (Group Activity)
Class 13: Pitching Better Features: Ideation and Requirements
Class 14: Student Conference: App Feature Pitches

[Preparation/Review] After each class, students are expected to spend 4-5 hours studying class material, doing homework, and preparing for the subsequent class.
教科書
／Textbook(s)		 No textbook. Materials will be provided via Moodle or in class.
成績評価の方法・基準
／Grading method/criteria		 Grades will be awarded based on the following:

• Active participation: 30%
• Weekly assignments: 40%
• Final presentation: 30%
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 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 　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		 TBD-3
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 introduces students to key concepts in psycholinguistics and English morphological structure, with a focus on enhancing vocabulary acquisition and retention. Students will explore how words are represented, processed, and learned in the mind, including the roles of word frequency and morphological complexity. Through practical exercises and critical self-reflection, students will learn to analyze and deconstruct complex words, apply effective learning techniques, and develop personalized approaches to expanding their English vocabulary.
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

By the end of the course students will be able to:
1) Understand the foundations of Second Language Acquisition.
2) Analyze their own learning needs, preferences, and strategies.
3) Critically evaluate app-based language learning platforms.
4) Understand and interpret key programming and algorithmic features of language apps.
5) Design and pitch innovative features for language learning apps.
授業スケジュール
／Class schedule		 Each class meeting will consist of a lecture by the professor.

Class 1: Introduction to the course and overview of vocabulary learning challenges.
Class 2: Basics of psycholinguistics: how words are represented and processed.
Class 3: Introduction to English morphology: roots, prefixes, and suffixes.
Class 4: Compound words and derivational patterns in English.
Class 5: The role of word frequency and exposure in vocabulary acquisition.
Class 6: Morphological awareness exercises: analyzing unfamiliar words.
Class 7: Semantic networks: understanding word meaning and relationships.
Class 8: Memory strategies for vocabulary learning: mnemonics, imagery, and retrieval practice.
Class 9: Identifying personal vocabulary gaps and common errors.
Class 10: Evaluating dictionaries, apps, and other learning resources.
Class 11: Applying psycholinguistic principles to effective word learning.
Class 12: Group workshop: analyzing and deconstructing complex texts.
Class 13: Designing personalized vocabulary learning plans.
Class 14: Student presentations: learning strategies and reflections.

[Preparation/Review] After each class, students are expected to spend 4-5 hours studying class material, doing homework, and preparing for the subsequent class.
教科書
／Textbook(s)		 No textbook. Materials will be provided via Moodle or in class.
成績評価の方法・基準
／Grading method/criteria		 Grades will be awarded based on the following:

• Active participation: 20%
• Online Quizzes: 20%
• Weekly learning diary: 45%
• Critical Self Reflection: 15%
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 Office Hours: By appointment; please email the professor to set up an appointment.


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