MA 4323/6323: Numerical Analysis II - Spring 2026
Logistics
- Instructor: Prof. Seongjai Kim,
Professor of Mathematical AI, Poet, Songwriter
- Classroom: 200 Swalm; MW 12:30 - 1:45 PM
Begins on Wed 1/14 and ends on Mon 5/4.
- Office Hours: MTW 10:00-10:50AM
- Textbook: Seongjai Kim,
Numerical Analysis using Maple and Matlab, Lecture Note.
Download
- Reference: Richard L. Burden and J. Douglas Faires,
Numerical Analysis (9th Ed.), Brooks/Cole 2011.
- Please feel free to contact me for any questions, suggestions, or problems.
Course Subjects
We will cover Chapters 8-16 of the lecture note.
- Ch.8: Eigenvalues and QR Factorization
- Ch.9: Principal Component Analysis
- Ch.10: Iterative Alebraic Solvers
- Ch.11: Mathematical Optimization
- Ch.12: Introduction to Machine Learning
- Ch.13: Matrix Analysis in Data Mining
- Ch.14: Finite Difference Methods for Boundary-Value Problems
- Ch.15: Finite Element Methods for Boundary-Value Problems
- Ch.16: Properties of Data-First Numerical Methods
Learning Objectives
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To provide advanced undergraduate students and early year graduate students
with a solid mathematical background for numerical methods.
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To recognize mathematical issues that arise in scientific computing.
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To discuss recent approaches in scientific computing.
See details:
MA4323-6323-NA2-Syllabus.pdf
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