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Discipline ID
97ac1514-598d-4ae9-af20-fdf75b940953

COURSE DETAIL

PROBABILITY
Country
France
Host Institution
University of Bordeaux
Program(s)
University of Bordeaux
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics Mathematics
UCEAP Course Number
104
UCEAP Course Suffix
UCEAP Official Title
PROBABILITY
UCEAP Transcript Title
PROBABILITY
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description

This course introduces the mathematical theory of probability, starting with the definition of probability spaces to the fundamental limit theorems, namely the law of large numbers and the central limit theorem. The following concepts are covered: measurement theory, probability spaces; conditional probability and independence; random variables, discrete random variables; density random variables; discrete random vectors; density random vectors; notions of convergence for sequences of random variables; limit theorems; Gaussian vectors. 

Language(s) of Instruction
French
Host Institution Course Number
4TMQ601U
Host Institution Course Title
PROBABILITY
Host Institution Campus
UNIVERSITY OF BORDEAUX
Host Institution Faculty
SCIENCES AND TECHNOLOGIES
Host Institution Degree
Host Institution Department
MATHEMATICS

COURSE DETAIL

PROBABILITY AND DATA ANALYSIS
Country
Spain
Host Institution
Carlos III University of Madrid
Program(s)
Carlos III University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
115
UCEAP Course Suffix
UCEAP Official Title
PROBABILITY AND DATA ANALYSIS
UCEAP Transcript Title
PROBABILITY&DATA
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course explores basic statistical concepts and tools to analyze real world data, understand concepts of of uncertainty and probability, and apply distribution models to solve relevant problems. Topics include: analysis of univariate data; analysis of bivariate data; introduction to probability; random variables; distribution models; linear regression.

Language(s) of Instruction
English
Host Institution Course Number
16477
Host Institution Course Title
PROBABILITY AND DATA ANALYSIS
Host Institution Campus
LEGANÉS
Host Institution Faculty
Escuela Politécnica Superior
Host Institution Degree
Doble Grado Ciencia e Ingeniería de Datos - Ingeniería en Tecnologías de Telecomunicación
Host Institution Department
Departamento de Estadística

COURSE DETAIL

PSYCHOLOGICAL STATISTICS AND METHODOLOGY 1
Country
United Kingdom - Scotland
Host Institution
University of St Andrews
Program(s)
University of St Andrews
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics Psychology
UCEAP Course Number
146
UCEAP Course Suffix
UCEAP Official Title
PSYCHOLOGICAL STATISTICS AND METHODOLOGY 1
UCEAP Transcript Title
PSY STATS& METHOD 1
UCEAP Quarter Units
8.00
UCEAP Semester Units
5.30
Course Description

This course provides a basic understanding of research design and statistics that provide the foundations for independent empirical research and critical analysis. Emphasis is placed on the acquisition of analysis skills. Topics include core aspects such as basic statistics, technical writing, and the use of statistical packages.

Language(s) of Instruction
English
Host Institution Course Number
PN3025
Host Institution Course Title
PSYCHOLOGICAL STATISTICS AND METHODOLOGY 1
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Psychology and Neuroscience

COURSE DETAIL

OPTIMIZATION AND ANALYTICS
Country
Spain
Host Institution
Carlos III University of Madrid
Program(s)
Carlos III University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
120
UCEAP Course Suffix
UCEAP Official Title
OPTIMIZATION AND ANALYTICS
UCEAP Transcript Title
OPTIMIZATN&ANLYTICS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course focuses on how to model and apply optimization and simulation methods in business decision-making. It discusses linear, discrete, and non-linear models as well as a review of case studies.

Language(s) of Instruction
English
Host Institution Course Number
16501
Host Institution Course Title
OPTIMIZATION AND ANALYTICS
Host Institution Campus
LEGANÉS
Host Institution Faculty
Escuela Politécnica Superior
Host Institution Degree
Grado en Ciencia e Ingeniería de Datos
Host Institution Department
Departamento de Estadística

COURSE DETAIL

TIME-SERIES ANALYSIS
Country
Hong Kong
Host Institution
University of Hong Kong
Program(s)
University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
120
UCEAP Course Suffix
UCEAP Official Title
TIME-SERIES ANALYSIS
UCEAP Transcript Title
TIME SERIES ANALYS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

A time series consists of a set of observations on a random variable taken over time. Time series arise naturally in climatology, economics, environment studies, finance and many other disciplines. The observations in a time series are usually correlated; the course establishes a framework to discuss this. This course distinguishes different type of time series, investigates various representations for the processes and studies the relative merits of different forecasting procedures. Students will analyze real time-series data on the computer. Topics: Stationary and the autocorrelation functions; linear stationary models; linear non-stationary models; model identification; estimation and diagnostic checking; seasonal models and forecasting methods for time series. 

Language(s) of Instruction
English
Host Institution Course Number
STAT4601
Host Institution Course Title
TIME-SERIES ANALYSIS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics & Actuarial Science

COURSE DETAIL

STATISTICAL MODELS
Country
Hong Kong
Host Institution
University of Hong Kong
Program(s)
University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
127
UCEAP Course Suffix
UCEAP Official Title
STATISTICAL MODELS
UCEAP Transcript Title
STATISTICAL MODELS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course examines fundamental concepts in probability and mathematical statistics, including probabilistic modelling, limiting results, estimation and hypothesis testing. Topics include random variables and vectors, distribution and quantile functions, covariance and correlation matri-ces, strong law of large numbers, central limit theorem, estimators and their (asymptotic) properties, parametric estimators (maximum likelihood, method of moments), (asymptotic) conĄdence intervals (mean and variance of a normal, difference of means of two normals, ratio of means of two normals), hypothesis tests (theory, power function, p-value, asymptotic tests, likelihood ratio tests). 

Language(s) of Instruction
English
Host Institution Course Number
STAT3902
Host Institution Course Title
STATISTICAL MODELS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department

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LINEAR STATISTICAL ANALYSIS
Country
Hong Kong
Host Institution
University of Hong Kong
Program(s)
University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
123
UCEAP Course Suffix
UCEAP Official Title
LINEAR STATISTICAL ANALYSIS
UCEAP Transcript Title
LINEAR STAT ANALYS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

The analysis of variability is mainly concerned with locating the sources of the variability. Many statistical techniques investigate these sources through the use of linear models. This course presents the theory and practice of these models. Topics include: simple linear regression: least squares method, analysis of variance, coefficient of determination, hypothesis tests and confidence intervals for regression parameters, prediction; multiple linear regression: least squares method, analysis of variance, coefficient of determination, reduced versus full models, hypothesis tests and confidence intervals for regression parameters, prediction, polynomial regression; one-way classification models: one-way ANOVA, analysis of treatment effects, contrasts; two-way classification models: interactions, two-way ANOVA for balanced data structures, analysis of treatment effects, contrasts, randomized complete block design; universal approach to linear modeling: dummy variables, multiple linear regression representation of one-way and two-way (unbalanced) models, ANCOVA models, concomitant variables; regression diagnostics: leverage, residual plot, normal probability plot, outlier, studentized residual, influential observation, Cook's distance, multicollinearity, model transformation. 

Language(s) of Instruction
English
Host Institution Course Number
STAT3600
Host Institution Course Title
LINEAR STATISTICAL ANALYSIS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics & Actuarial Science

COURSE DETAIL

CATEGORICAL DATA ANALYSIS
Country
Hong Kong
Host Institution
Chinese University of Hong Kong
Program(s)
Chinese University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
141
UCEAP Course Suffix
UCEAP Official Title
CATEGORICAL DATA ANALYSIS
UCEAP Transcript Title
CATEGOR DATA ANALYS
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description

This course examines major statistical techniques in analyzing categorical data. Topics include measures of association, inference for two-way contingency tables, loglinear models, logit models and models for ordinal variables. The use of related statistical packages will be demonstrated. 

Language(s) of Instruction
English
Host Institution Course Number
STAT4006
Host Institution Course Title
CATEGORICAL DATA ANALYSIS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department

COURSE DETAIL

MODERN NONPARAMETRIC STATISTICS
Country
Hong Kong
Host Institution
University of Hong Kong
Program(s)
University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
140
UCEAP Course Suffix
UCEAP Official Title
MODERN NONPARAMETRIC STATISTICS
UCEAP Transcript Title
MDN NONPARAMET STAT
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course examines the fundamentals, basic properties and use of classical and modern nonparametric statistical methods for data analysis. Topics may include: order statistics; goodness-of-fit tests; rank tests for single-sample and two-independent samples; tests for designed experiments; permutation tests; tests for trends and association; jackknife and bootstrapping methods; nonparametric regression; nonparametric estimator and statistical functionals.

Language(s) of Instruction
English
Host Institution Course Number
STAT3620
Host Institution Course Title
MODERN NONPARAMETRIC STATISTICS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department

COURSE DETAIL

INTRODUCTION TO REGRESSION ANALYSIS
Country
Ireland
Host Institution
University College Cork
Program(s)
University College Cork
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
120
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO REGRESSION ANALYSIS
UCEAP Transcript Title
REGRESSION ANALYSIS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course teaches the theory and applications of linear statistical models. Students undertake a review of normal and associated distributions, simple linear regression, multiple regression, drawing conclusions, weighted least squares, regression diagnostics, and model building.
Language(s) of Instruction
English
Host Institution Course Number
ST2053
Host Institution Course Title
INTRODUCTION TO REGRESSION ANALYSIS
Host Institution Campus
UC Cork
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics
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