- Lecturer
- Akama Hiroyuki
- Place
- Tue5-6(GSIC隨ｬ2貍皮ｿ貞ｮ､GSIC Computer Room 2)
- Credits
- Lecture0 Exercise2 Experiment0
- Code
- 65068
- Syllabus updated
- 2013/4/4
- Lecture notes updated
- 2013/3/21
- Semester
- Spring Semester
Outline of lecture
This lecture aims at initiating students into the world of "Mathematica", which allows them to possess strong programming skills with repect to some mathematical methods 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. The course materials will be provided by OCW-i and Educational Computer System.
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, Exercises, and Tests
Comments from lecturer
This lecture will be held from April the 16th 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.
You might want to get your account of TSUBAME II from "TSUBAME2.0蛻ｩ逕ｨ繝昴ｼ繧ｿ繝ｫ" 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).
