Faculty of Science and Engineering

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MAT300XF(数学 / Mathematics 300)
Mathematical Analysis

Hiroyuki GOTO

Class code etc
Faculty/Graduate school Faculty of Science and Engineering
Attached documents
Year 2022
Class code H6565
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 金3/Fri.3
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
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
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

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Outline (in English)

This class addresses mathematical theories and techniques associated with industrial and systems engineering. Among others, optimization problems relevant to maximization, minimization, and extreme problems are particularly central. While the associated techniques would be classified as applied mathematics, we will rather focus on applications to engineering than mathematical rigorousness.

[Learning objectives]
Upon completion, students should be able to
1. understand the underlying concepts and meanings associated with vectors and matrices
2. utilize various approaches to solve various optimization problems
3. apply the acquired skills to information engineering and mathematical engineering

[Learning activities outside of classroom]
1. Students should spend four hours for preparation and review.
2. Prerequisites:
(1) Calculus (differentiation of a multivariate function)
(2) Linear algebra (elementary transformation, eigenvalue problem)

[Grading criteria]
The final evaluation will be conducted according to:
mid-term exam (45%), Final exam (45%), and two quizzes (10%)

Default language used in class

日本語 / Japanese