Course title
知能情報工学講座特別講義Ⅱ   [Selected Topics in Computer Science Ⅱ]
Course category	courses for doctoral programs	Requirement		Credit	2
Department		Year	～	Semester	3rd
Course type	3rd	Course code	1080442
Instructor(s)
BOSSARD Antoine, 藤田 桂英, 金子 敬一   [BOSSARD Antoine, FUJITA Katsuhide, KANEKO Keiichi]
Facility affiliation	Graduate School of Engineering	Office		Email address

Course description

The objective of this lecture is to show to the students some language challenges of scientific writing (e.g. ambiguity), the limits of an analytic language such as English with respect to these challenges and how they can improve their writing by understanding what a synthetic language (e.g. Latin) is, how it can be advantageously used for scientific writing and how to reuse some of its principles when writing with an analytic language such as English. Google Classroom Code【2mtgv7s】

Expected Learning

As explained above, it is expected first that a student who takes this course will be able to better understand and identify challenges of scientific writing. Second, it is expected that such student will be able to address these issues by relying on the language skills acquired during the course. As a result, the student writing abilities, especially for scientific writing, are expected to significantly rise.

Course schedule

1. Introduction: guidance, lecture presentation (motivation, overview, etc.) PART I ? ON ANALYTIC LANGUAGES 2. About ambiguity with an analytic language such as English 3. What can be done with an analytic language to reduce ambiguity (1): on verbs 4. What can be done with an analytic language to reduce ambiguity (2): on non-verbal words 5. What can be done with an analytic language to reduce ambiguity (3): on etymology 6. Practice PART II ? ON SYNTHETIC LANGUAGES 7. First steps with a synthetic language (1): on cases and declensions 8. First steps with a synthetic language (2): on conjugation (the indicative mood) 9. First steps with a synthetic language (3): on conjugation (the subjunctive mood) 10. Application to descriptive documentation 11. Application to graph theory, discrete mathematics and computer science 12. Concision and precision with punctuation 13. Concision and precision with typography 14. Practice 15. Final examination and its discussion

Prerequisites

Interest in natural languages for writing.

Required Text(s) and Materials

Lecture notes will be handed out.

References

In addition to the lecture notes, sample books will be presented at a suitable time.

Assessment/Grading

Practice work: 40% Final examination: 60%

Message from instructor(s)

This lecture will best benefit the students who have a fair knowledge of English.

Course keywords

writing, English, language

Office hours

N/A

Remarks 1

Remarks 2

Related URL

Lecture Language

English

Language Subject

Last update

9/8/2022 12:12:00 PM