This is a prerequisite module which students are asked to TAKE before entering MTH452 and MTH453. This module helps students learn and consolidate the basic knowledge of mathematics and statistics related to data science. It will cover three aspects: calculus, linear algebra and fundamentals of probability and statistics._x000D_
_x000D_
Students who successfully complete this course will be able to have a good understanding and mastery of the mathematical principles and methods of calculus and linear algebra related to data science. It is helpful for students to further learn the contents related to optimization methods for data science. This course will also introduce the basic knowledge of statistics, including statistical inference, linear models, linear regression and classification, Bayesian statistics, and so on. Students will also learn to use R to conduct the basic mathematical calculations and statistical analysis._x000D_
_x000D_
Students who successfully complete this course will be able to have a good understanding and mastery of the mathematical principles and methods of calculus and linear algebra related to data science. It is helpful for students to further learn the contents related to optimization methods for data science. This course will also introduce the basic knowledge of statistics, including statistical inference, linear models, linear regression and classification, Bayesian statistics, and so on. Students will also learn to use R to conduct the basic mathematical calculations and statistical analysis._x000D_
学分: 2