課程資訊
課程名稱
心理學數理方法
MATHEMATICAL METHODS IN PSYCHOLOGY 
開課學期
97-1 
授課對象
理學院  一般心理學組  
授課教師
徐永豐 
課號
Psy5028 
課程識別碼
227 U0920 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期五2,3,4(9:10~12:10) 
上課地點
南館S409 
備註
總人數上限:10人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/971Hsu_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
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

*** MEETING: Fridays 9:10-12:10 in S409 ***

Most students and researchers are familiar with linear statistical models such as ANOVA and linear regression. The advantage of linear models is that they are flexible and can be used for inference across many disciplines. They are, however, often poor models of cognitive and psychological processes.

This course is about a different class of models for psychology. Two main paths of cognitive modeling have evolved in mathematical psychology, depending on how we deal with the topic of study as a 'black box'. One path of modeling is concerned with uncovering the structure within the black box, and the other path of modeling focuses on capturing the properties of the black box by the mathematical model. This course is designed to introducing a number of models from both paths. In doing so, important general concepts of modeling, including parameter estimation and goodness-of-fit based on the likelihood principle, are introduced.

In a nutshell, in this course‭ ‬we‭ ‬will introduce‭ some mathematical modeling approaches in psychology‭. ‬We first review some basic concepts of probability and random variables. We then introduce the concept of maximum likelihood, a model-fitting approach commonly used in mathematical psychology. Some Bayesian reasoning will be introduced along the way. In the second part of‭ ‬the course we will introduce several applications of mathematical modeling‭. ‬Possible topics include threshold theories in signal detection,‬‭ multinomial processing tree models (in clinical assessment‭), choice models, Markov chains and random walk models, reaction time models, and Bayesian models.‬

We will use R, a free software environment for statistical computing and graphics that can be downloaded from the web page http://www.r-project.org/, for some of the class presentation and some of the homework problems. 

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
每週五 15:00~16:00
每週二 15:00~16:00 
參考書目
 
指定閱讀
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
無資料