Discipline ID
97ac1514-598d-4ae9-af20-fdf75b940953
COURSE DETAIL
BASIC STATISTICS FOR BUSINESS AND ECONOMICS
Country
Denmark
Host Institution
Copenhagen Business School
Program(s)
Copenhagen Business School Summer
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Statistics
Economics
Business Administration
UCEAP Course Number
15
UCEAP Course Suffix
UCEAP Official Title
BASIC STATISTICS FOR BUSINESS AND ECONOMICS
UCEAP Transcript Title
STATISTICS BUS&ECON
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This is a beginning statistics course with special focus on the practical application of basic statistical concepts to business and economics problems. The importance of understanding probability and probability distributions, and their application in the decision-making processes in business and economics, is explored. The course also exposes and teaches students the basics and the applications of inferential statistics (e.g. hypothesis testing and confidence interval estimation).
Language(s) of Instruction
English
Host Institution Course Number
BA-BHAAI1001U
Host Institution Course Title
BASIC STATISTICS FOR BUSINESS AND ECONOMICS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
COURSE DETAIL
STATISTICAL METHODS IN RISK MANAGEMENT
Country
United Kingdom - England
Host Institution
London School of Economics
Program(s)
Summer at London School of Economics
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
130
UCEAP Course Suffix
S
UCEAP Official Title
STATISTICAL METHODS IN RISK MANAGEMENT
UCEAP Transcript Title
STATS IN RISK MGMT
UCEAP Quarter Units
5.50
UCEAP Semester Units
3.70
Course Description
The implementation of sound quantitative risk models is a vital task for all financial institutions, and this trend has accelerated in recent years after the last financial crisis. This course provides a self-contained introduction to both theoretical and practical implementation of various techniques in risk management. The course draws on diverse quantitative disciplines, from probability to statistics, from actuarial science to quantitative finance. Main topics include risk factor models, risk measures and their statistical estimation, multivariate factor models, dimensional reduction techniques, copulas, and measure of dependence on extreme events. the course works with real financial data and provides hands-on experience on practical applications.
Language(s) of Instruction
English
Host Institution Course Number
ME317
Host Institution Course Title
STATISTICAL METHODS IN RISK MANAGEMENT
Host Institution Campus
London School of Economics
Host Institution Faculty
Host Institution Degree
Host Institution Department
Research Methods, Data Science, and Mathematics
COURSE DETAIL
QUANTITATIVE METHODS
Country
Japan
Host Institution
Meiji Gakuin University
Program(s)
Global Studies, Japan
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
106
UCEAP Course Suffix
UCEAP Official Title
QUANTITATIVE METHODS
UCEAP Transcript Title
QUANTITATIVE METHOD
UCEAP Quarter Units
3.00
UCEAP Semester Units
2.00
Course Description
This course is an introduction to statistical analysis. Student mainly learn how to collect, organize, analyze, and interpret the data.This course emphasizes the importance of understanding the logic of statistical inference, rather than memorizing formulae or calculating statistics. Topics: the important concepts and the logic of quantitative methods; how to argue statistical fallacies and accurately use the statistical methods; how to use basic statistical functions of Microsoft Excel to solve statistics problems; and how use quantitative methods for the graduation thesis.
Language(s) of Instruction
English
Host Institution Course Number
KC3031
Host Institution Course Title
QUANTITATIVE METHODS
Host Institution Campus
Yokahama
Host Institution Faculty
Host Institution Degree
Host Institution Department
International Studies
COURSE DETAIL
BIONIFORMATICS
Country
Italy
Host Institution
University of Bologna
Program(s)
University of Bologna
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Biological Sciences
UCEAP Course Number
177
UCEAP Course Suffix
UCEAP Official Title
BIONIFORMATICS
UCEAP Transcript Title
BIOINFORMATICS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course is part of the LM degree program and is intended for advanced level students. Enrollment is by consent of the instructor. This course discusses bioinformatics and data science, with direct applications on molecular biology, genetics, genomics, and transcriptomics. The course discusses topics including next generation sequencing, bioinformatics file formats, the UNIX environment, online bioinformatics tools, gene networks, bioinformatics databases, cancer bioinformatics, sequence acquisition, phylogenetic analysis, R statistical environment, and graphics with R.
Language(s) of Instruction
English
Host Institution Course Number
85297
Host Institution Course Title
BIONIFORMATICS
Host Institution Campus
BOLOGNA
Host Institution Faculty
Host Institution Degree
LM in MOLECULAR AND CELL BIOLOGY
Host Institution Department
Pharmacy and Biotechnology
COURSE DETAIL
DATA MANAGEMENT WITH SAS
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
Computer Science
UCEAP Course Number
119
UCEAP Course Suffix
UCEAP Official Title
DATA MANAGEMENT WITH SAS
UCEAP Transcript Title
DATA MGMT/SAS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course presents statistical software (SAS) for data management and elementary data analysis. This course focuses on using SAS to manage data set input and output, work with different data types, manipulate and transform data, perform random sampling and descriptive data analysis, and create summary reports and graphics.
Language(s) of Instruction
English
Host Institution Course Number
STAT2603
Host Institution Course Title
DATA MANAGEMENT WITH SAS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics & Actuarial Science
COURSE DETAIL
STATISTICAL SOFTWARE II
Country
Spain
Host Institution
Complutense University of Madrid
Program(s)
Complutense University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
123
UCEAP Course Suffix
UCEAP Official Title
STATISTICAL SOFTWARE II
UCEAP Transcript Title
STAT SOFTWARE II
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course offers a study of statistical software. Topics include: R language; introduction to programming and manipulation of objects and files; user-defined functions, statistics, and graphs; R libraries and internet resources.
Language(s) of Instruction
Spanish
Host Institution Course Number
801599
Host Institution Course Title
SOFTWARE ESTADÍSTICO II
Host Institution Campus
Moncloa
Host Institution Faculty
Facultad de Estudios Estadísticos
Host Institution Degree
GRADO EN ESTADÍSTICA APLICADA
Host Institution Department
Departamento de Estadística y Ciencia de los Datos
COURSE DETAIL
INTRODUCTION TO QUANTITATIVE METHODS IN SOCIOLOGY WITH R
Country
France
Host Institution
Institut d'Etudes Politiques (Sciences Po)
Program(s)
Sciences Po Paris
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Sociology
UCEAP Course Number
130
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO QUANTITATIVE METHODS IN SOCIOLOGY WITH R
UCEAP Transcript Title
QUANTIT METHODS SOC
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course provides an overview of the use of quantitative methods in sociology. It alternates between presentation and discussion of quantitative sociology methods and the techniques most used in this discipline (univariate and bivariate descriptive statistics, logistic regressions), and practical application using R software. Students conduct their own research project implementing these methods with research topics based on the 2018 European Values Survey highlighting the values, political opinions, and representations of the French.
Language(s) of Instruction
French
Host Institution Course Number
BMET 25F30
Host Institution Course Title
INITIATION AUX MÉTHODES QUANTITATIVES EN SOCIOLOGIE SUR R
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Workshop
Host Institution Department
Methodology
COURSE DETAIL
STATISTICS FOR INSURANCE
Country
Korea, South
Host Institution
Yonsei University
Program(s)
Yonsei University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
105
UCEAP Course Suffix
UCEAP Official Title
STATISTICS FOR INSURANCE
UCEAP Transcript Title
INSURANCE STATISTIC
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course covers actuarial mathematics for life insurance. Students learn how to price standard life insurance and annuity products. The course is highly mathematical with quite a few actuarial formulas used in both academia and industry.
Language(s) of Instruction
English
Host Institution Course Number
STA4111
Host Institution Course Title
STATISTICS FOR INSURANCE
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics
COURSE DETAIL
STATISTICS WITH R AND RSTUDIO
Country
United Kingdom - England
Host Institution
University College London
Program(s)
Summer at University College London
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
35
UCEAP Course Suffix
S
UCEAP Official Title
STATISTICS WITH R AND RSTUDIO
UCEAP Transcript Title
STATS/R&RSTUDIO
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course introduces statistics and the free software R/RStudio to students with no previous knowledge of mathematics beyond high school level. The course also assesses the uses, misuses and limitations of statistical methods. Topics range from basic descriptive statistics to more advanced topics including multivariate analysis, logistic regression, and model optimization. As additional skills, students are introduced to professional-standard plotting resources, basic programming functions in R, and the user-friendly RStudio interface.
Language(s) of Instruction
English
Host Institution Course Number
ISSU0055
Host Institution Course Title
STATISTICS WITH R AND RSTUDIO
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Anthropology
COURSE DETAIL
LINEAR PROGRAMMING AND GAMES
Country
United Kingdom - England
Host Institution
University of London, Queen Mary
Program(s)
University of London, Queen Mary
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Mathematics
Economics
UCEAP Course Number
160
UCEAP Course Suffix
UCEAP Official Title
LINEAR PROGRAMMING AND GAMES
UCEAP Transcript Title
LINEAR PROG&GAMES
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This class considers the practical modelling of real-world operational problems, together with the mathematical theory behind the most widespread tools for solving these problems. Students will learn how to model common operational problems as linear programs, the basic, underlying theory of linear programming, and gain some basic familiarity with how widely used software tools for such problems work. Building on these concepts, students will also learn basic game theory, including how to model and solve optimization problems that involve future uncertainty or a competing adversary.
Language(s) of Instruction
English
Host Institution Course Number
MTH5114
Host Institution Course Title
LINEAR PROGRAMMING AND GAMES
Host Institution Campus
QMUL
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematical Sciences