必备先修︰认知科学中的一门课程，以及机率论或统计学中的一门课程。
Prerequisites: a course in cognitive science, and a course in probability or statistics.
这门课程用的数学涉及到线性代数、机率论、代数、组合学和各式其他的相关领域。
The mathematical content of this course involves some linear algebra, probability theory, algebra, combinatorics and topics from a variety of other fields.
以最小化问题估算参数-最小平方法介绍，机率论介绍，条件机率及联合机率，统计无关。
Parameter estimation as minimization - intro to method of least squares, introduction to probability theory, conditional and joint probabilities, statistical independence.
本课程讲授广泛使用于科学，产业与管理等领域之统计方法。主要的单元包括：-机率论；
This course offers a broad treatment of statistics, concentrating on specific statistical techniques used in science, industry, and management. Topics include: - basic probability models;
在机率论里为研究人员和研究生写，专题著作对在上述的训练方面工作的全部人具有潜在的兴趣。
Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.
在机率论里为研究人员和研究生写，专题著作对在上述的训练方面工作的全部人具有潜在的兴趣。
Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.
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