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