筑波大学システム情報工学研究科コンピュータサイエンス専攻科目一覧
Experiment Design in Computer Science
担当教員
アランニャ クラウス、櫻井 鉄也
電子メール caranha@cs.tsukuba.ac.jp
URL http://conclave.cs.tsukuba.ac.jp/?page_id=126
オフィスアワー メールで問い合わせ
科目番号 01CH740
分野 共通科目
基礎/専門の別
授業形態 Lectures in English
開講学期 春AB
時限 金5,6
教室 3B301
キーワード Scientific Methodology, Statistics, Experiment Design, R
Keyword Scientific Methodology, Statistics, Experiment Design, R
前提条件 This course has no pre-requisites, but the students are encouraged to review the following topics:

* Basic statistics
* R programming language
学習目標 At the end of the course, students should be able to:

* Prepare an experimental procedure in order to rigorously test and validate a scientific hypothesis
* Analyse the data obtained from this experimental procedure
* Evaluate other research based on their experimental quality
概要 This course is divided in four main themes:

* The philosophy of experimental science, and its application to CS
* The R tool;
* Experimental design of experiments
* Statistical analysis of experimental data
授業計画 The following plan will be adjusted according with the progress of the class

Classes 1-2: Outline of the course, and the philosophy of experimental design: why do we need to design our experiments, and how this applies to computer science.

Class 3: Mini R tutorial.

Classes 4-9: Techniques for experimental design and statistical experimental data analysis.

Class 10: Report review and presentation
教科書 Please see the course web page for recommended readings
参考書
成績評価 The course will be evaluated according to a series of reports to be requested of students:

* A case study of experimental design using example data
* A experimental design proposal of the student's own research
* Analysis of literature
TF・TA
その他の情報 英語での科目
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