シラバス Syllabus

授業名 BUSINESS ENGLISH 2
Course Title BUSINESS ENGLISH 2
担当教員 Instructor Name Alexander Kilpatrick
コード Couse Code NUC267_N20B
授業形態 Class Type 講義 Regular course
授業形式 Class Format
単位 Credits 2
言語 Language EN
科目区分 Course Category
学位 Degree BSc
開講情報 Terms / Location 2020 UG Nisshin Term3

授業の概要 Course Overview

Misson Statementとの関係性 / Connection to our Mission Statement

授業の目的(意義) / Importance of this course

Task-based with intense students' participation. This is a Business English class. It is important to know Japanese Business Etiquette Basics if you want to work in an international company and become a successful business leader.
The teacher will give students projects and tasks to complete. These projects are presentations, emails, travel plans, entertaining foreign
visitors. Students will be assigned to small groups and complete the projects.
Active participation will be evaluated as part of your grade for the course.
1.This is a TOEIC compulsory subject, no credits without taking the TOEIC exam.
2. For TOEIC Compulsory Classes, students are required to take the TOEIC at least once in Term 1 and 2 (June TOEIC) and once in Terms 3 and 4 (September or December TOEIC) while they are taking the TOEIC compulsory classes. Failing to do so, a student will receive 'Incomplete' for his/her grade for the course the semester in which the student failed to take the TOEIC exam.

到達目標 / Achievement Goal


本授業の該当ラーニングゴール Learning Goals

*本学の教育ミッションを具現化する形で設定されています。

LG2 Diversity Awareness
LG4 Effective Communication

受講後得られる具体的スキルや知識 Learning Outcomes


.Students will learn about important cultural differences in business at work place.
.Students will learn how to do jobs needed in international work settings.
.Students will learn to use research tasks needed for working in an international company.
.Students will come to learn where and why English is important to business in today's Japan.

SDGsとの関連性 Relevance to Sustainable Development Goals

教育手法 Teaching Method

教育手法 Teaching Method % of Course Time
インプット型 Traditional 50 %
参加者中心型 Participant-Centered Learning ケースメソッド Case Method 0 %
フィールドメソッド Field Method 50 %
合計 Total 100 %

事前学修と事後学修の内容、レポート、課題に対するフィードバック方法 Pre- and Post-Course Learning, Report, Feedback methods

Instructions about projects will be given to you from your teacher. The teacher will play the role as your company boss and he will evaluate
your achievement of tasks or projects completion. A hard working employee will get his or her reward with good marks.

授業スケジュール Course Schedule

第1日(Day1)

Session 1
Introductions
Class Requirements
Grammar Lecture
Study Techniques


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

第2日(Day2)

Session 1
Grammar Lecture
Study Techniques
Reading Practice
TOEIC Practice


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

第3日(Day3)

Session 1
Grammar Lecture
Study Techniques
Reading Practice
TOEIC Practice


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

第4日(Day4)

Session 1
Grammar Lecture
Study Techniques
Reading Practice
TOEIC Practice


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

第5日(Day5)

Session 1
Grammar Lecture
Study Techniques
Reading Practice
TOEIC Practice


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

第6日(Day6)

Session 1
Grammar Lecture
Study Techniques
Reading Practice
TOEIC Practice


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

第7日(Day7)

Session 1
Grammar Lecture
Study Techniques
Reading Practice
TOEIC Practice


●使用するケース
Session 2
Weekly Vocabulary Test
Speaking Practice
Listening Practice
Grammar Component

成績評価方法 Evaluation Criteria

*成績は下記該当項目を基に決定されます。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
講師用内規準拠 Method of Assessment Weights
コールドコール Cold Call 10 %
授業内での挙手発言 Class Contribution 0 %
クラス貢献度合計 Class Contribution Total 10 %
予習レポート Preparation Report 20 %
小テスト Quizzes / Tests 10 %
シミュレーション成績 Simulation 15 %
ケース試験 Case Exam 15 %
最終レポート Final Report 0 %
期末試験 Final Exam 30 %
参加者による相互評価 Peer Assessment 0 %
合計 Total 100 %

評価の留意事項 Notes on Evaluation Criteria

使用ケース一覧 List of Cases

    ケースは使用しません。

教科書 Textbook

  • Barnard & Cady 「Business Venture 1」Oxford University Press(2018)978-1-896942-91-9

参考文献・資料 Additional Readings and Resource

Additional handouts will be provided.

授業調査に対するコメント Comment on Course Evaluation

No venture, no gain.

担当教員のプロフィール About the Instructor 


Alexander Kilpatrick is an assistant professor at the Nagoya University of Business and Commerce. He holds a Ph.D. from the University of Melbourne. Alexander's main area of research involves examining the influence of transitional probability on non-native speech perception. More specifically, it focuses on the chance of sounds co-occurring in a language and makes predictions as to how listeners will misperceive non-native speech based on that chance.

He is available to meet with students on Wednesdays 11:20 - 12:50 in room 6306.

His areas of interest include Speech perception, Iconicity, Psycholinguistics, Neurolinguistics, Transitional Probability, Phonetics, and Phonology.

(実務経験 Work experience)


2014-2016 - La Trobe University - English Teacher
2016-2017 - La Trobe University - English Lecturer
2016-2019 - University of Melbourne - Teacher's Assistant
2019-current - Nagoya University of Business and Commerce - Assistant Professor

Refereed Articles

  • (2024) Sound Symbolism in Japanese Names: Machine Learning Approaches to Gender Classification. Plos One
  • (2024) Using artificial intelligence to explore sound symbolic expressions of gender in American English. PeerJ Computer Science 10:e1811 https://doi.org/10.7717/peerj-cs.1811
  • (2023) A cross-linguistic, sound symbolic relationship between bilabial consonants, voiced plosives, and Pokémon Friendship. Frontiers in Psychlogy
  • (2023) Random Forests, Sound Symbolism and Pokémon Evolution. PLoS One
  • (2020) Japanese Perceptual Epenthesis is Modulated by Transitional Probability. Language and Speech 63(2): 10.1177/0023830920930042

Refereed Proceedings

  • (2024). Cognitive AI 2023. Cognitive AI 2023 .Cognitive AI 2023. 1. 2. Bari University, Italy
  • (2023). Iconicity Through the Lens of Information Theory. THE ICONICITY SEMINAR 2023 .THE ICONICITY SEMINAR 2023. 1. 2. Nagoya University of Commerce and Business
  • (2023). Training Artificial Intelligence to Assess ESL Writing Using Complexity Measures. JSLS 2023 Handbook .The 24th Annual International Conference of the Japanese Society for Language Sciences. 1. 2. Chuo University Tama Campus
  • (2019). Predictability, Word Frequency and Japanese Perceptual Epenthesis. Proceedings of the 19th International Congress of Phonetic Sciences .The 19th International Congress of Phonetic Sciences. 2. 2. Melbourne, Australia
  • (2018). Japanese Vowel Devoicing Modulates Perceptual Epenthesis. Proceedings of the 17th Speech Science and Technology Conference (SST2018) .the 17th Speech Science and Technology Conference (SST2018). 1. 2. Coogee Bay Hotel






ページ上部へ戻る