Course Jukebox

Course Jukebox

Course Detail

Standard Academic Year
Course delivery methods
Physical sciences, Mathematical sciences, Computer Science, Engineering & technology
Degree Programs in Systems and Information Engineering
Master's Program in Computer Science
Tsukuba Campus
Course Offering Year
Course Offering Month
April - June
Weekday and Period
Course Number

Experiment Design in Computer Sciences University of Tsukuba

Course Overview

(Course in English) This course is an overview of the basic knowledge needed for performing proper scientific experiments in the field of Computer Sciences. Therefore, this course focuses on three topics: 1- Philosophical discussion about the scientific methods, 2- Conceptual discussion about the design and analysis of Experiments, and 3- Statistical methods for the analysis of experimental data. After finishing this course, the student will be able to consider a research topic in Computer sciences, define what kind of data is necessary for advancing the knowledge in this topic, design an experiment to obtain this data, and evaluating the data in order to draw conclusions from the experment in a rigorous manner. The evaluation method for this course is a short experiment performed in groups, which will be designed, executed, evaluated, presented and reviewed by the students by the end of the course.

Learning Achievement


Knowledge Utilization Skills, Management Skills, Teamwork Skills, International Skills, Research Skills, Ethics

Course prerequisites

Grading Philosophy

The course will be graded on reports and a Final Exam. The grade proportion is 70% for the reports, and 30% for the exam.

The reports require the student to plan, execute, and analyze a simple experiment. This experiment can be about the student's own master research, or about a simple experiment executed during the course. The results of the experiment are to be analyzed and discussed using the techniques learned in this lecture. The report is evaluated on the quality of the experimental design, the correctness of the statistical analysis, and the quality of the discussion of the results.

The Final Exam is open book, and covers the entire material of the course.

Course schedule

Course type


Online Course Requirement


Sakurai Tetsuya,Aranha, Claus

Other information

Identical to 01CH740.
Lecture is conducted in English. 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.

Site for Inquiry

Please inquire about the courses at the address below.

Contact person: Claus de Castro Aranha

Email address:

Link to the syllabus provided by the university