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Introduction

The general objective is to acquaint students of science and engineering with the potentialities of the modern computer for recognizing, formalizing and solving the numerical problems that arise in their professions including computer science. The course introduces theory, algorithms and software implementation that concern approximation and interpolation of functions, solution of linear and nonlinear equations, optimization, numerical integration, numerical differentiation, and numerical solution of differential equations. 

To enhance the understanding of the basic theory and algorithms, the problem-and-solution part of this course focuses on a few computational biology problems and their resolutions, involving data sampling and smoothing, modeling, numerical simulation, numerical solution, and rendering and steering. No background in computational biology is required.

MatLab is chosen as the programming tool in this course.

Prerequisite

Calculus, Linear Algebra, Programming Methodology

Textbook

Reference Books and Resources

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