課程大綱

課程資訊

課程名稱	心理學資料處理與模式應用 DATA ANALYSIS AND MODELING IN PSYCHOLOGY
開課學期	97-2
授課對象	理學院心理學系
授課教師	徐永豐
課號	Psy5074
課程識別碼	227 U2100
班次
學分	2
全/半年	半年
必/選修	選修
上課時間	星期五2,3(9:10~11:10)
上課地點	北館N221
備註	總人數上限：15人
Ceiba 課程網頁	http://ceiba.ntu.edu.tw/972Hsu_MathMethodPsy
課程簡介影片
核心能力關聯	核心能力與課程規劃關聯圖
課程大綱
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課程概述	This course is designed for students who are interested in data analysis and modeling in psychology. We will emphasize the basic concepts of probability and statistics. We will also introduce the concepts of modeling and demonstrate with some examples. Following each lecture there will be a session teaching students how to use the R software to help understand aforementioned concepts,. (See the course “Using R in data analysis in psychology”). Course grades will be based on homework problems and in-class participation and discussion.
課程目標	Students will have the opportunity to apply some mathematical modeling approaches of cognitive processes to their own research.
課程要求	Students are expected to participate actively in classroom discussion, read the course material thoroughly and critically.
預期每週課後學習時數
Office Hours	每週四 14:00~16:00
指定閱讀
參考書目	There is no required textbook. All the readings are from journal papers and book chapters that will be distributed in class.
評量方式 (僅供參考)

課程進度

週次	日期	單元主題
Week 1	02/20	Introduction
Week 2	02/27	Sample space, events
Week 3	03/06	Probability measure
Week 4	03/13	Conditional probabilities; Bayes theorem
Week 5	03/20	Sampling and counting; Discrete distributions
Week 6	03/27	Poisson process; Random variables
Week 7	04/03	(No class)
Week 8	04/10	Distribution functions; Continuous distributions
Week 9	04/17	Maximum likelihood estimate
Week 10	04/24	Signal detection models (I)
Week 11	05/01	The theory of signal detectability
Week 12	05/08	Signal detection models (II)
Week 13	05/15	(No class ... 兩岸三地活動)
Week 14	05/22	Signal detection models (III)
Week 15	05/29	(端午節 ... No class)
Week 16	06/05	Multinomial processing tree modeling (I)
Week 17	06/12	Multinomial processing tree modeling (II)
Week 18	06/19	Markov models