Discipline ID
97ac1514-598d-4ae9-af20-fdf75b940953

COURSE DETAIL

OPTIMIZATION METHODS
Country
Hong Kong
Host Institution
Chinese University of Hong Kong
Program(s)
Chinese University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics Computer Science
UCEAP Course Number
105
UCEAP Course Suffix
UCEAP Official Title
OPTIMIZATION METHODS
UCEAP Transcript Title
OPTIMIZATION METHOD
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description

This course introduces the essentials of optimization methods, including models, solution methods, and programming techniques. Topics cover linear programming, integer linear programming, nonlinear programming, and convex programming. It will highlight applications of these methods in Fintech, such as asset allocation, portfolio management, and data analysis.

Language(s) of Instruction
English
Host Institution Course Number
FTEC2101,ESTR2520
Host Institution Course Title
OPTIMIZATION METHODS
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Course Last Reviewed
2021-2022
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COURSE DETAIL

INTRODUCTION TO NUMERICAL ANALYSIS
Country
Norway
Host Institution
University of Oslo
Program(s)
University of Oslo
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
103
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO NUMERICAL ANALYSIS
UCEAP Transcript Title
INTRO NUM ANALYSIS
UCEAP Quarter Units
8.00
UCEAP Semester Units
5.30
Course Description
This course gives insight into theory and algorithms for fundamental mathematical problems associated with systems of equations, optimization, and approximation of functions. There are many applications, for example, the representation of geometry, images, and more generally large data sets. Applications in various areas of the natural sciences are an essential part of the course. This subject assumes familiarity with linear algebra and calculus of several variables. The course discusses topics including important numerical methods; strategies both for constructing methods and analyzing them, often with the help of linear algebra; the limitations of various mathematical approximations and the effect of computer rounding errors; concrete methods for solving various kinds of equation systems and non-linear optimization problems; and methods for approximating functions with the help of simpler functions, such as polynomials, piecewise polynomials, and trigonometric functions.
Language(s) of Instruction
English
Host Institution Course Number
MAT3110
Host Institution Course Title
INTRODUCTION TO NUMERICAL ANALYSIS
Host Institution Course Details
Host Institution Campus
Mathematics and Natural Sciences
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
Course Last Reviewed
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Mathematics Abroad

Take your mathematics studies international to develop theory and applications side by side—linking proof, modeling, and computation across diverse academic traditions. International study immerses you in new approaches to problem solving and pedagogy, expanding how you construct rigorous arguments, build and analyze models, and apply quantitative methods to real‑world systems. You’ll advance in algebra, analysis, geometry/topology, number theory, probability, and differential equations while engaging projects in data science, optimization, mathematical physics, and algorithms. Build your portfolio through research seminars, collaborative problem sessions, and interdisciplinary projects—strengthening proof technique, mathematical modeling, and computational fluency for work in science, engineering, economics, and beyond.

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