Experiment Design in Computer Science


担当教員 
Claus Aranha, Tetsuya Sakurai

電子メール  caranha@cs.tsukuba.ac.jp 
URL  
オフィスアワー  Office Hours by appointment through MANABA 
科目番号  01CH740 
分野  共通科目 
基礎／専門の別  基礎科目 
授業形態  Lectures 
開講学期  Spring AB 
時限  Friday 5,6 
教室  3B301 
キーワード  Experiment Design, Statistical Testing, Statistics, Philosophy of Science, Ethics, R Language 
Keyword  Experiment Design, Statistical Testing, Statistics, Philosophy of Science, Ethics, R Language 
前提条件 
No particular requirements for registration. This course expect students to be familiar with basic statistical concepts (Random Variables, Distributions, etc). The experiments in the course will use the R language, so familiarity with this language is helpful. This course expect students to be familiar with basic concepts of statistics (Mean, Median, Standard deviation, Population, Random Variables, etc). We also encourage the students to study the R programming language to prepare for this course. 
学位プログラム・コンピテンスとの関係  知の活用力,マネジメント能力,チームワーク力,国際性,研究力,倫理観 
学習目標 
At the end of the course, students should be able to:

概要 
The collection and analysis of data through experiments is one of the cornerstones of the scientific method. In this course, we study the general philosophy and methods behind experimentalism: Why do we perform experiments, what is a good/rigorous experiment, how to plan and design a rigorous experiment, and how to perform statistical analysis on experimental data. This course is centered around lectures with plenty of examples and study cases. The students will be invited to apply the techniques studied in this lecture to experiment of their own design. 
授業計画 

教科書  No designated textbook: The course will be based on lecture notes to be distributed electronically on Manaba 
参考書 

成績評価 
The grade is based on three individual reports. Each report is a case study, where the student will have to: Design an experiment to answer a scientific question, obtain experimental data (from the instructor, or by performing an experiment), analyze the experimental data using the tools studied in the lecture, and prepare a report discussing the experimental conclusions. The report is evaluated on the quality of the experiment design, the correctness of the statistical analysis, and the quality of the discussion of the results (note that positive or negative results do not factor in the grade of the report).

TF・TA  1 TA is assigned for office hours. 
その他の情報 
Lecture in English I expect the students to contribute with questions and discussions during the class. Additionally, I will recommend that the students use data from their own research to prepare the reports. Students who cannot provide their own data will be provided with sample data, however you will learn much more if you can use your own data. 