Teaching in 2014
Scientific English (3rd year undergrad course)
Lecture 1: Introduction to the course, What is an abstract (slides)
Assignment due Monday 21st in paper form:
1. Choose the abstract of any paper in computer science and check whether they satisfy the assumptions of table 1 given in the lecture. Provide a detailed answer. You must submit a copy of the first page of the article you have chosen.
2. Choose any computer scientist of your liking and describe, as if writing an abstract, his/her biggest contribution to the field.
Although references to thinking machines and artificial beings have appeared in history as early as in ancient Greece (Talos of Crete, bronze robot of Hephaestus), no rigorous definition for intelligence machines was known before that proposed by Alan Turing (1912-1954), known as the Turing test. That test has been proposed to test the ability of a machine to exhibit intelligent behaviour equivalent to that of a human being. To pass that test, a machine must be capable of engaging in a conversation with a human judge through a text-only channel in such a way that the human judge cannot reliably tell whether his interlocutor is a machine or not. Ever since it was proposed, this test has been both influential and criticized, making it one of the most fundamental concepts in the history of AI.
Lecture 2: Writing Introductions (slides)
Assignment due Monday 28th in paper form:
1. In the “The synthesis of flexible polymer blends from polylactide and rubber” introduction, outline at each number what the writer is doing in that sentence. Don’t include content words such as polymer. Describe what the writer is doing in general terms, such as
the writer provides general background information for the reader.
the writer provides a brief overview of key research projects in this area.
2. Consider the 5 introductions contained in the 2 sheets of paper I have provided you. Divide (using pen colors) these introductions into paragraphs that mention either :
Background information / importance of the research field (1)
Previous and/or current research and contributions (2)
Gap in our knowledge, problem that needs to be solved, research opportunity (3)
Paper contribution and structure (4)
Lecture 3: Writing Introduction & Methodology (slides)
Assignment due Monday 12th in paper form:
Write a 250 words summary that explains the scientific content of the video below.
IST Seminar IV, Technical Writing, Kyoto U. (Autumn 2014)
Statistical Machine Learning, Kyoto U. (Autumn 2014)
Part I, Statistical Learning Theory
October 6 - November 11
Regression [VIDEO] [Slides] [ Data mat or csv] [Scripts] [Vagif's CSV]
Classification [VIDEO] [Slides] [Scripts] [Perceptron Demo]
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Recommended reading for derivatives and gradients: Appendix A.4 of this book
Homework 1, due October 22nd (Wed), send to this this email.
Homework 2, due November 11 (Tue) noon. Please send your homework to this email.
Homework 3, due Jan 20th (Tue) noon. Please send your homework to this email.