COURSES in "Mathematical Foundations: Calculus and Matrix Algebra" (9 days), "Data Analysis using R" (5 days), "Data, Probability & Statistics" (9 days), "Intro to Joint Modelling of Longitudinal & Survival Data with Applications in R" (2 days), "Boosting for Statistical Modelling"(1 day) at Essex, Colchester UK:

I) Foundation Mathematics: Calculus and Matrix Algebra, 1-11 September 2014 (9 days pm)
MPhil/PhD students and CPD (member of staff; academics, public sector and industry) with interest and need to understand and to use mathematical foundations of calculus, combinatorics and matrix algebra. Further info and to register: https://shortcoursesgateway.essex.ac.uk/Guests/GuestCourse.aspx?CourseRef=MA:FM


II) Data Analysis using R, 15-19 September 2014 (5 days)
The course is targeted towards applied researchers, post-doctoral researchers and PhD students that would like to develop their skills in data analysis using R. Further info and to register: https://shortcoursesgateway.essex.ac.uk/Guests/GuestCourse.aspx?CourseRef=MA:DAUR


III) Data, Probability and Statistics, 22 Sept-2 October 2014 (9 days pm)
MPhil/PhD students and CPD (member of staff; academics, public sector and industry) with interest and need to understand and to use descriptive statistics and the concepts of probability, distribution theory, estimation, hypothesis tests and confidence intervals.
Further info and to register: https://shortcoursesgateway.essex.ac.uk/Guests/GuestCourse.aspx?CourseRef=MA:DPS


Reduced fees for attending two or three of I, II and III are available. Moreover, full time MSc students (MSc Data Science, MSc Statistics academic year 2014-15) of the Department of Mathematical Sciences, University of Essex, can qualify for reimbursement of the fees of short course I, II and III.  


Special topic courses - two days and one day: 
Intro to Joint Modelling of Longitudinal & Survival Data with Applications in R, 8-9 September 2014 (2 days)
This two-day course is aimed at applied researchers and graduate students, and will provide a comprehensive introduction into this modelling framework. In particular, we will explain when these models should be used in practice, which are the key assumptions behind them, and how they can be utilized to extract relevant information from the data. Emphasis will be given on applications, and after the end of the course participants will be able to define appropriate joint models to answer their questions of interest. Further info and to register: https://shortcoursesgateway.essex.ac.uk/Guests/GuestCourse.aspx?CourseRef=MA:JMLS


Boosting for Statistical Modelling, 6 October 2014 (1 day)
MPhil/PhD students and CPD (member of staff; academics, public sector and industry) with interest and need to understand and to use boosting methods in the statistical modelling context. Basic experience with the programming environment R is recommended.
Further info and to register: https://shortcoursesgateway.essex.ac.uk/Guests/GuestCourse.aspx?CourseRef=MA:BSM


For any queries please contact: Stavros Poupakis; [log in to unmask]

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