Outline of lecture

Mathematica is a highly ingenious, extremely precise and among others user-friendly programming language. From the standpoint of the human economic science, it is the most suitable for 1) complicated symbolic computation including vast amounts of terms, 2) analytical or numerical solutions of equations, differential equations or minimization calculation, 3) accurate and aesthetic visualization of graphs or figures. In this class, we provide practices using GSIC Educational System and Tsubame Grid Cluster to learn how to manipulate "Mathematica", which is necessary for the calculation of economics or cognitive psychology such as solution to equations, linear algebra (list, vector and matrix manipulation), statistics (Descriptive statistics, Regression, Anova), graphs and complex network, and simulation of complex systems.

Purpose of lecture

Mathematica is a highly ingenious, extremely precise and among others user-friendly programming language. From the standpoint of the human economic science, it is the most suitable for 1) complicated symbolic computation including vast amounts of terms, 2) analytical or numerical solutions of equations, differential equations or minimization calculation, 3) accurate and aesthetic visualization of graphs or figures. In this class, we provide practices using GSIC Educational System and Tsubame Grid Cluster to learn how to manipulate "Mathematica", which is necessary for the calculation of economics or cognitive psychology such as solution to equations, linear algebra (list, vector and matrix manipulation), statistics (Descriptive statistics, Regression, Anova), graphs and complex network, and simulation of complex systems.

Plan of lecture

1. Introduction : How to use the new Educational Computer System
2. Mathematica, its features and interfaces--Symbolic Programming, Use of Notebook
3. Basic Built-in Functions of Mathematica: Numerical Calculation and Algebraic Calculation
4. Basic Built-in Functions of Mathematica: Linear Algebra--List, Vector and Matrix Manipulation (1)
5. Basic Built-in Functions of Mathematica: Linear Algebra--List, Vector and Matrix Manipulation (2)
6. Basic Built-in Functions of Mathematica: Uploading and Downloading Data; 2-D and 3-D Graphics
7. Sparse Array and Large Scale Computation
8. Condition Controls
9. Statistical Analyses
10. Complex Networks
11. Differential Calculus and Interpolation
12. Mixed Topics (1)
13. Mixed Topics (2)
14. Mixed Topics (3)
15. Mixed Topics (4)

Textbook and reference

No textbook is required.

Related and/or prerequisite courses

The credit of this course can be used to complete the International Human Economic Science Special Course which started in April, 2009.

Evaluation

Attendance and Exercises

Comments from lecturer

This lecture will be held from April the 12th on every Tuesday, 13:20~14:50 (Time Slots: 5-6) at the 2nd Practical Room of Global Scientific Information and Computing Center (GSIC) (3rd floor). The access information can be found at the following URLs.
http://www.b.cc.titech.ac.jp/Location/index.html
You might want to get your account of TSUBAME II from "TSUBAME2.0蛻ｩ逕ｨ繝昴�繧ｿ繝ｫ" through Tokyo Tech Portal (http://portal.titech.ac.jp/) BEFORE attending the classes where the Educational Computer System is used sharing the same account data.
No special knowledge on Mathematica is required. If you are interested in this course, please refer to the relevant information registered in TOKYO TECH OCW.
The credit of this course can be used to complete the International Human Economic Science Special Course which started in April, 2009.
For the more detailed information on the course, please refer to
http://www.ihes.hum.titech.ac.jp
Feel free to send an email to Prof. Akama (akama@dp.hum.titech.ac.jp).