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Graduate School
Graphical Information and Computer
Eisuke KITA Professor
Department: Institute of Liberal Arts & Sciences
Class Time:  2014 Spring & Fall Monday (Spring) Monday (Fall) 
Recommended for:  ( 1st semester ) Students in the school of Informatics and Sciences (Social and Human Science Informatics), Letters, Economics, Education and Law ( 2nd semester ) Students in the school of Informatics and Sciences (Natural Science Informatics), Engineering, Science, Medicine and Agriculture 
Course Overview
Course Overview
In the first part of this course, we will be learning about the analytic algorithm of time series data using spreadsheet software. In the second part of this lecture, we will be focusing on the usage of the formula manipulation software, Mathematica. Basic usage for mathematics calculations, creation of graphs and animations, and music composition will be the main topic of our exercise problems.
Key Features
This lecture is experiential learning. Therefore, Many example problems will be given in the lecture in order to make this lecture interesting. Also example problems will be realistic matters such as earning of department store or stock for your better understanding.
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Syllabus
Course Aims
Main objective of this lecture is to introduce convenient usages of data analysis software and computer computation software. In the first part of the lecture, our main focus will be on the application of spreadsheet software. We will be learning about the analytic method of time series data by using least squares analysis, moving average analysis, correlated analysis and so on. In the second part of the lecture, our main focus will be on Mathematica. We will be learning how to use Mathematica for the linear algebra and calculus calculations. In addition, we will also experience some of the interesting application for making animation and composing music. The contents of the class will be different depending on the students' major and interests.
Course Requirements and Recommended Courses
Mathematics and Information literacy are not required but deeply related to the contents of this course.
Contents
Lecture will be in the PC lab in the Integrated Research Building. Contents will be as following.
 Creating Figure and spreadsheet data using Excel
 Least mean square approximation analysis and moving data average analysis of time series data using Excel
 Moving data analysis using Excel
 Correlated analysis using Excel
 Basics of Mathematica (computational software)
 Algebra calculations using mathematica
 Data analysis using Mathematica
 Creating graphics using Mathematica
 Creating animation using Mathematica
 Composing music using Mathematica
Textbooks
No textbooks are assigned.
Note
This lecture is experiential learning. Therefore, exercise will be the main part of the lecture and I would like all the students to have fun in the lecture.
Communication Board:
This course is designed for both beginner and intermediate user of Computer. Therefore this lecture consists of the basics of informatics literacy and further application of computer software on the various analyses. In the first part of the lecture, we will begin with the introduction of email and word processing software. It is because these soft wares will be the most fundamental knowledge for using Computer. Then secondly we will be learning about the method of data analysis using Excel and Mathematica. Since using Mathematica should be the first time for many students, I would like all the students to experience new software and to increase their interests and knowledge thorough experiential learning. Balance of basic materials and intermediate materials varies depending on the needs of the students. If you have any suggestion about the lecture or exercise, it is very welcome.
Related Resources
An Introduction to Programming with Mathematica, Third Edition (Hardcover), Paul R. Wellin, Richard J. Gaylord, Samuel N. Kamin, Cambridge University Press; 3 edition, 2005
Programming in Mathematica, Third Edition (Paperback), Roman Maeder, AddisonWesley Professional; 3 editions, 1997
Assignments
Assignments are to solve the example problems given in the lecture.
Grading Method
 Due date of the homework will be one week from the assigned date, or the beginning of the next lecture.
 Tardy paper will be accepted but will get point off for the delay. If the full mark is 1 the maximum score of the tardy report will be 0.5.
 If you do not hand in report you get 0 point for the results of the report.
 If you hand in report whose due date is much earlier, it will not be accepted.
Course Schedule
Session  Contents 

1  Guidance

2  Basics of Excel (creating charts and figures)

3  Least mean square approximation analysis using Excel

4  Correlated analysis using Excel

5  Autocorrelation analysis using Excel

6  Difference analysis using Excel

7  Moving Average analysis using Excel

8  Basics of Mathematica

9  Algebra calculations using Mathematica

10  Linear Algebra calculations using Mathematica

11  Calculus calculations using Mathematica

12  Curve fitting using Mathematica

13  Creating graphics using Mathematica

14  Two dimensional animation using Mathematica

15  Composing music using Mathematica

Grading
Students will be evaluated based on your reports (65 %) and attendance (35%). You can see reports assignments given in year 2007 in lecture notes section.
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Class Materials
Lecture Handouts
Note: All files are in Japanese.
Session #2 Basics of Excel (PDF, 60KB)
Session #3 Least mean square approximation analysis using Excel No.1 (PDF, 36KB)
Session #3 Least mean square approximation analysis using Excel No. 2 (PDF, 36KB)
Session #4 Correlated analysis using Excel (PDF, 55KB)
Session #5 Autocorrelation analysis using Excel (PDF, 64KB)
Session #6 Difference analysis using Excel (PDF, 83KB)
Session #7 Moving Average analysis using Excel (PDF, 125KB)
Session #8 Basics of Mathematica (PDF, 146KB)
Session #9 Algebra calculations using Mathematica (PDF, 193KB)
Session #10 Linear Algebra using Mathematica (PDF, 221KB)
Session #11 Calculus using Mathematica (PDF, 207KB)
Session #12 Curve fitting using Mathematica (PDF, 111KB)
Session #13 Graphics using Mathematica (PDF, 114KB)
Session #14 Two dimensional animation using Mathematica (PDF, 117KB)
Session #15 Composing music using Mathematica (PDF, 232KB)
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Page last updated March 11, 2009
The class contents were most recently updated on the date indicated. Please be aware that there may be some changes between the most recent year and the current page.