Experiment Design in Computer Science_E


Instructor(s) 
Claus Aranha, Tetsuya Sakurai

caranha@cs.tsukuba.ac.jp  
URL  
Office hours  Office Hours by appointment through MANABA 
Cource#  01CH740 
Area  Common Subject 
Basic/Advanced  基礎科目 
Course style  Lectures 
Term  Spring AB 
Period  Friday 5,6 
Room#  3B301 
Keywords  Experiment Design, Statistical Testing, Statistics, Philosophy of Science, Ethics, R Language 
Prerequisites 
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. 
relation degree program competence  Knowledge Utilization Skills,Management Skills,Teamwork Skills,International Skills,Research Skills,Ethics 
Goal  
Outline 
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. 
Course plan 

Textbook  No designated textbook: The course will be based on lecture notes to be distributed electronically on Manaba 
References 

Evaluation 
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. 
Misc. 
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. 