AY 2025 Undergraduate School Course Catalog

/EL1 Elective English 1

2025/02/23

Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  3学期 /Third Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
HEO Younghyon
担当教員名
/Instructor
HEO Younghyon
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/21
授業の概要
/Course outline
This course introduces how human languages are designed/structured. Specifically, it will focus on the word, sentence and sound structure of various languages in the world showing structural diversity of human languages as it introduces some basic concepts and terms used 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 used 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
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
教科書
/Textbook(s)
There is no textbook for this course. Course materials (e.g. lecture notes) 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.


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  3学期 /Third Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
KANEKO Emiko
担当教員名
/Instructor
KANEKO Emiko
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/22
授業の概要
/Course outline
**This class will be offered in the flipped-classroom style.  
https://facultyinnovate.utexas.edu/instructional-strategies/flipped-classroom

Students will analyze sentences at the micro level and manually draw tree diagrams both in class and as assignments. We will start from simple to more complex sentences and give enough time to learn diagramming techniques.
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

By the end of the course, students will acquire sufficient knowledge about English sentence structures and be able to analyze sentences syntactically by themselves.
授業スケジュール
/Class schedule
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
教科書
/Textbook(s)
Uploaded in the Moodle course site
Students are required to watch a video and do all the exercises and homework before class.
If students do not bring homework to class, they will be marked as "absent".
成績評価の方法・基準
/Grading method/criteria
1. Active class participation (Presentations and participation in group work) [10% ]
2. In-class and homework assignments/quizzes [ 15% ]
3. Midterm exam [ 35% ]
4. Review test [ 40% ]
履修上の留意点
/Note for course registration
- This class will be offered in the flipped-classroom style. Students are required to watch a lecture video before the class.
- Successful completion of English Strongly Recommended Courses is highly recommended.
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, please refer to;
https://www.youtube.com/watch?v=10IrShX_v2Q


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  2学期 /Second Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
TBD-2
担当教員名
/Instructor
TBD-2
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/24
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%


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  4学期 /Fourth Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
BENSON Stuart
担当教員名
/Instructor
BENSON Stuart
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/24
授業の概要
/Course outline
Knowledge of the most frequent 2,000 words in English is critical to communicate (listen and speak), and to read and write.
Luckily, there is a high-frequency vocabulary word list that contains these words. However, just learning these words receptively is not enough. We need to be able to productively use the words in context. Therefore, this course will focus on receptively and productively using these words from the 2,000 word list.
In this high-frequency vocabulary course, we will learn the most important words in English through numerous meaning-focused activities as well as the goal of learning a weekly list of words, which will focus on the most frequently used words in English.

*** This course is intended for Japanese learners of English. ICTG or International students will find this course is not applicable to their proficiency level. It is recommended high proficiency students take a different 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 following objectives will be of interest:
1. Understanding what is involved in ‘knowing’ a word.
2. Having a deeper knowledge of the most frequent words in English.
3. Learning a total of seven weekly lists over the course.
授業スケジュール
/Class schedule
Class 1: Syllabus explanation and vocabulary level/size test
Class 2: What is a corpus?
Class 3: What is vocabulary?
Class 4: How to analyse a corpus?
Class 5: Corpus project work
Class 6: Vocabulary through the four skills – Listening
Class 7: Mid-term vocabulary exam
Class 8: Vocabulary through the four skills – Listening
Class 9: Vocabulary through the four skills – Reading
Class 10: Vocabulary through the four skills – Reading
Class 11: Vocabulary through the four skills – writing
Class 12: Vocabulary through the four skills – Speaking
Class 13: Corpus project presentations
Class 14: Final vocabulary exam
教科書
/Textbook(s)
All materials will be provided in-class.
成績評価の方法・基準
/Grading method/criteria
Grades will be based on class participation, weekly vocabulary quizzes two exams, and a corpus project.
• Active participation in class: 5%
• Weekly vocabulary quizzes: 15%
• Mid-term vocabulary test: 10%
• End-term vocabulary test: 35%
• Corpus project: 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 me.
- Weekly vocabulary quizzes: Every week, you will study vocabulary on your own time from the vocabulary workbook. Once a week, there is a quiz conducted in class about vocabulary.
- Mid-term & final vocabulary test: Two main tests will be administered twice for this course. The mid-term vocabulary test contains vocabulary studied from class 1-7. The final vocabulary test contains vocabulary studied in the entire course. Make-up exams will only be allowed for legitimate reasons (such as illness or a family emergency).
- Corpus project: In small groups, you will create a small corpus that represents a specific area. 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 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
Studying the vocabulary wordlists will be completed for homework.


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  2学期 /Second Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
NICHOLAS Allan
担当教員名
/Instructor
NICHOLAS Allan
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/21
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
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
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.


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
LINGLE William
担当教員名
/Instructor
LINGLE William
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/20
授業の概要
/Course outline
This course aims to help students take control of their language learning. Using free online corpus resources, students will learn how to identify common patterns in language use. Students will learn how to use this data to communicate clearly and effectively in English.
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

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%

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.


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
KANEKO Emiko
担当教員名
/Instructor
KANEKO Emiko
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/22
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.##

You will practice both "extensive" and "intensive" reading in this class. Extensive reading (ER), the activity that you had in the first year, is believed to improve overall language ability if enough number of words is read. In this course, students will read more than 40,000 words of graded readers and write and present a book report at the end of the quarter.
Intensive reading is a way of reading difficult text by analyzing the structure and meaning, possible with a dictionary. This course will attempt to improve your overall reading fluency by reading English in these two ways.

*You need (near)-native level of Japanese ability to successfully learn from 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-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.
授業スケジュール
/Class schedule
Class 1  Introduction, reading speed check
Class 2  Intensive reading 1
Class 3  Book report and presentation 1
              ### read 5,000 words ###
Class 4  Intensive reading 2
Class 5  Book report and presentation 2
              [read 10,000 words]
Class 6  Intensive reading 3
Class 7  Book report and 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   Book report and presentation 4
Class 13  Students’ presentation 1
Class 14  Students’ presentation 2
                ###read 40,000 words###
Final Exam Week    Final examination
教科書
/Textbook(s)
Graded readers are found in the library. Some of them are available online.
Supplementary materials will be distributed in class.
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. Final Exam [ 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.

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


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
WILSON Ian
担当教員名
/Instructor
WILSON Ian
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/24
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.
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
(4) practice making English speeches and participate in discussions about SDGs
授業スケジュール
/Class schedule
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 and Q&A
Class 13: What is behind the fashion industry?
Class 14: Final Speaking Assignment
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
成績評価の方法・基準
/Grading method/criteria
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%
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


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
CARR Nicholas
担当教員名
/Instructor
CARR Nicholas
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/16
授業の概要
/Course outline
This course focuses on notetaking in academic contexts when the notetaker is listening to a lecture that is given in their additional language (English). Notetaking during a lecture is not a single action, but a recursive process which consists of several steps. Students will practice these steps to develop their notetaking and listening skills when listening to lectures in English. A variety of notetaking methods will be practiced, allowing students to discover which approaches are most suitable for them. These skills are crucial when taking lectures in an additional language and also beneficial when attending conferences in your professional life. Please note, while this course practices and develops listening skills, its primary focus is developing notetaking skills.
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.

[Compentency Codes]
C-EC-013-3

After completing this course, students will:
(1) understand how to segment content into meaningful chunks when listening
(2) have learnt to separate information into various levels of importance
(3) develop the ability to record information verbatim and transfer this into simplified notes
(4) understand the Outline, Cornell and Spray-Chart methods of notetaking
(5) understand the discourse features of an academic lecture
授業スケジュール
/Class schedule
Class 1: Introduction to the unit and steps in note taking
Class 2: The Outline Method; Identifying main ideas, support and examples
Class 3: The Cornell Method; Abbreviations Part 1
Class 4: The Spray-Chart Method; Abbreviations Part 2
Class 5: Translanguaging and Diagrams in Note-Taking
Class 6: Electronic Note-Taking
Class 7: Mid-term Exam
Class 8: Reviewing Notes: Individual and Group review
Class9-10: Putting it all together Part 1- Note-taking during short lectures
Class 11:  Presentations of note-taking strategies
Class 12-13: Putting it all together Part 2 - Note-taking during real-life lectures
Class 14: Review activity/test
教科書
/Textbook(s)
All materials will be distributed in class or via the course site.
成績評価の方法・基準
/Grading method/criteria
Active Participation: 10%
Homework Assignments: 15%
Mid-term exam: 25%
Presentation of note-taking strategies: 15%
Review activity/test: 35%


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  4学期 /Fourth Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
CARR Nicholas
担当教員名
/Instructor
CARR Nicholas
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/16
授業の概要
/Course outline
This course focuses on teaching students how to understand what is being communicated beyond words. Students will study how identity, gender and regional differences are reflected in language. Additionally, students will learn how language differs according to context and its medium, such as when using social media. Finally, to effectively use English as a lingua franca when talking to people of different cultures, students will be exposed to a variety of World Englishes.
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-010-7, C-EC-014-8

After completing this course, students will:
(1) understand how social groups are formed and maintained through language
(2) understand how social context influences language use
(3) be able to use language appropriate for a given register
(4) be able to analyze discourse to understand what is being communicated beyond words
(5) develop their ability to use language appropriate for a variety of social contexts
授業スケジュール
/Class schedule
Class 1: What is Sociolinguistics?
Class 2: Social Dimensions of Language
Class 3: Regional and Social Dialects
Class 4: Social and Class Dialects
Class 5: Gender and Age
Class 6: Style, Context and Register
Class 7 and 8: Assessment Task 1
Class 9: Speech Functions
Class 10: Politeness and Stereotypes
Class 11:  Construction of Gender through Language
Class 12: Analyzing Discourse
Class 13: Varieties of English
Class 14: Assessment Task 2
教科書
/Textbook(s)
All materials will be distributed in class or via the course site.
成績評価の方法・基準
/Grading method/criteria
Active Participation: 10%
Homework Assignments: 15%
Assessment Task 1: 35%
Assessment Task 2: 40%


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  1学期 /First Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
ROY Debopriyo
担当教員名
/Instructor
ROY Debopriyo
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/18
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:
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
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
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
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
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 for 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
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
Topics:
Challenges of scaling a tech business: team growth, infrastructure, 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 these concepts 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 (20%): 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.
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.


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  2学期 /Second Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
ILIC Peter
担当教員名
/Instructor
ILIC Peter
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/30
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

[Course Objectives]
1. Understand the Role of AI in Language Learning: Gain comprehensive knowledge of how AI technologies are applied in language education.

2. Critically Analyze Advancements and Challenges: Evaluate the benefits and potential drawbacks of AI in language acquisition.

3. Explore Ethical and Cultural Implications: Understand the ethical considerations and cultural impacts of AI-driven language learning tools.

4. Investigate Practical AI Solutions: Become familiar with proposed innovative AI solutions for improving language learning.

[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.
授業スケジュール
/Class schedule
Class 1: Introduction to AI in Language Learning
Class 2: Feedback and Correction
Class 3: Personalized Learning
Class 4: Learning of Vocabulary and Grammar
Class 5: Speech Recognition and Pronunciation Training
Class 6: Dialogic, Chatbots and Conversational Practice
Class 7: Gamification in AI Language Learning
Class 8: Immersive Learning
Class 9: Continuous Learning
Class 10: Language Diversity and AI, Accessibility, and Ethical Considerations
Class 11: AI Prompt Design
Class 12: Review
Class 13: Presentation Day 1
Class 14: Presentation Day 2

*The schedule may change based on the number of students.
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%.


Open Competency Codes Table Back

開講学期
/Semester
2025年度/Academic Year  3学期 /Third Quarter
対象学年
/Course for;
3rd year
単位数
/Credits
2.0
責任者
/Coordinator
TBD-2
担当教員名
/Instructor
TBD-2
推奨トラック
/Recommended track
先修科目
/Essential courses
更新日/Last updated on 2025/01/24
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%


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

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