JP/EN

Syllabus

SubjectOPTIMIZATION THEORY [DS2]

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
08937
Subject Sort
B3213
Title
OPTIMIZATION THEORY
Field
Fundamental Subjects - Subjects of Data Science - Data Science 2
Unit
2 Unit
Year/Semester
2022 Spring
K-Number
FPE-CO-03022-211-60
Year/Semester
2022 Spring
Day of Week・Period
Thu 4th
Lecturer Name
Hideyuki Kawashima
Class Format
Face-to-face
Language
Japanese
Location
SFC
Class Style
＊Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture
GIGA Certificate
Not applied

Detail

Course Summary

In this lecture, we will learn about optimization problems. The optimization problem is to find a solution that minimizes (or maximizes) the objective function under certain constraints. This can appear in a wide range of situations, from assigning part-time shifts to matching residents and hospitals. In this lecture, we will cover linear programming problems, nonlinear programming problems, and integer programming problems.