### Human Economic Science by Mathematica

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Lecturer
Akama Hiroyuki
Place
Tue5-6(GSIC Computer Room 2)
Credits
Lecture0  Exercise2  Experiment0
Code
65068
Syllabus updated
2011/4/1
Lecture notes updated
2011/4/1
Semester
Spring Semester ### 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)
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 