Faculty of Science and Engineering

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MAT300XF(数学 / Mathematics 300)
Complexity Analysis

Shin ISOJIMA, Hiroyuki GOTO

Class code etc
Faculty/Graduate school Faculty of Science and Engineering
Attached documents
Year 2024
Class code H6543
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 木曜3時限木3/Thu.3
Class Type
Campus 小金井
Classroom name 小西館‐W203
Grade 3年
Credit(s)
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category 経営システム工学科
学科専門科目

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Outline (in English)

[Course outline]
This class examines complex behaviors called "fractal" and "chaos", both of which are known as mathematical frameworks to analyze complex phenomena. These will be investigated in both theoretical and implementation aspects.
In the lecture classes, some topics about one-dimensional discrete dynamical systems are explained, in which chaotic phenomena can be observed easily. Self-similarity and fractal dimensions, which characterize fractal diagrams, are also explained.
In the practice classes, through numerical simulations of typical systems, implementation and solution techniques along with complex numbers and differential equations will be enhanced. Recursive calls and anonymous functions will be introduced and demonstrated as well.

[Learning objectives]
Upon completion, students should be able to:
1. understand how to analyze one-dimensional dynamical systems, in which chaos phenomena are observed.
2. understand the characteristic properties of fractals, ``self-similarity'' and ``fractal dimension.''
3. implement program codes to analyze and delineate fractal and chaotic behaviors.
4. implement programs along with recursive calls and anonymous functions.

[Learning activities outside of classroom]
1. Students should spend four hours for preparation and review.
2. An assignment will be given on completion of each topic.

[Grading criteria]
The assessment is based on:
Lecture part: brief reports: 30%, final report: 70%
Implementation part: class contribution: 30%, implementation: 70%

Default language used in class

日本語 / Japanese