MAT9004《 Mathematical foundations for data science》是 莫纳什大学 的公开课程页面。当前可确认的信息包括 2 学分，难度 中等。 页面已整理 5 个重点考核，方便你快速判断工作量、考核结构和适配度。 课程简介摘要：Mathematical topics fundamental to computing and statistics including 。
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. Scheduled activities may include a combination of teacher directed learning and online engagement.
Explain fundamental concepts in calculus including basic differentiation and integration, and composite, inverse and parametric functions;
Use trees and graphs to solve problems in computer science;
Demonstrate basic knowledge and skills of linear algebra, including the manipulation of matrices, solution of linear systems, and evaluate and apply determinants;
Describe the principles of elementary probability theory, evaluate conditional probabilities and use Bayes' Theorem;
Apply counting principles in combinatorics;
Perform key skills in the calculus of functions of several variables including the calculation of partial derivatives, find tangent planes and identify stationary points, root findings and convexity for optimisation.
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