STAT 3006 統計運算學 Statistical Computing

Course Code	STAT 3006 STAT3006			科目名稱		Statistical Computing 統計運算學
教員	Professor WEI Yingying [官方介紹] [學術著作]			學　　分		3學分
課程性質	STAT選修			同科其他選擇
Workload	l   PAPER l   FINAL EXAM								好重
									重
									平均	1
									輕
									極輕
評價教學內容	#1雖則只有4份Assignments和Final, 但內容較為艱深，特別係後半部份涉及Bayesian Statistics、MCMC、Bootstrapping等，都係pg statistical computing既簡化版，絕不比4字頭的STAT Courses來得輕鬆。繼3007後呢個可以話係第2難既3字頭course。因為與CS、MATH有很大關係，對於數底勁、識R programming既學生係優勢。雖然艱深，不過仍然推薦學生修讀呢科，因為會對於依家十分流行既Machine Learning、Bayesian Stat既認識有好大幫助。除此之外，讀完呢個course上去讀4001 Data Mining, Machine Learning有幫助。
評價教員教學	#1教授有著math ug, cs stat pg既學歷，學富五車，用心教學
CUSIS科目資料	Description： Students will learn common algorithms used in statistical computing. Topics include Monte Carlo, Markov Chain Monte Carlo, deterministic optimization and stochastic optimization.  The course will be taught using R. To prepare students for the era of big data, database accessing and parallel computing through R will also be covered. Learning Outcome： Upon completion of the course, students should be able to (1) Understand basic concepts of Monte Carlo, Markov Chain Monte Carlo, deterministic optimization and stochastic optimization ; (2) Develop algorithms and write code to solve real world problem; (3) Master elementary parallel computing in R.
其他資料	2017Sem2：學位 70|註冊 27|剩餘 43
同學推薦	高度推薦	1	推薦			有保留		極有保留