SILMW: Summer Institute for Languages of the Muslim World Tickets
Jun 15 – Aug 8 all-day

Dates: 15-Jun-2020 – 08-Aug-2020
Location: Urbana-Champaign, Illinois, USA

Focus: The Summer Institute for Languages of the Muslim World (SILMW) is an annual intensive language program at the University of Illinois at Urbana-Champaign. We invite students to join the 9% of Americans who choose the unique and meaningful experience of learning a Less Commonly Taught Language (LCTL). We believe that learning these languages will allow students to gain new global perspectives and set them apart as highly qualified individuals for international work and engagement. Many of these languages can assist students in securing international positions in governmental, development, and academic sectors.

Minimum Education Level: Undergraduate

This summer SILMW will take place from June 15 to August 8, 2020, and we will be offering Arabic, Persian, Swahili, Turkish, and Wolof. The program is 8 weeks and is divided into two, 4-week semesters. This is an immersive experience, complete with instruction, cultural activities, opportunities for language practice, conversation tables, cooking classes, movie nights, and more!

Subject Languages: Arabic, Standard
Persian, Iranian

Registration: 21-Jan-2020 to 27-Apr-2020
Contact Person: Giang Le
Email: silmw@illinois.edu

Apply on the web: https://linguistics.illinois.edu/silmw/prospective-students

Registration Instructions:
To apply to SILMW 2020, please fill out the relevant online application form (for undergraduate or graduate) non-degree admission, linked above.

Statistics and R Summer Schools 2020 Tickets
Jul 27 – Jul 31 all-day

Statistics and R Summer Schools 2020

Centre for Applied Statistics Courses


UCL Great Ormond Street Institute of Child Health


Introduction to Statistics & Regressions with R, 27-31 July

£1500 Early bird until 13 March 2020 (£1800 thereafter)


—- A five-day summer school that will teach you fascinating new statistical skills and a statistical programming language (R). This summer school will take place in a computer room and, in a nutshell, will start with the concepts of descriptive statistics, then move on to inferential measures (confidence intervals, significance tests and p-values) and will conclude with an introduction to linear regression. Please visit the link above for a more detailed outline.


Introduction to Statistical Thinking & Data Analysis, 10-14 August

£1200 Early bird until 13 March 2020 (£1500 thereafter)


—- This classroom-based five-day summer school will introduce the essential research and quantitative skills needed to interpret published research and perform basic statistical analysis. In a nutshell, this summer school will cover study design concepts followed by descriptive statistics, inferential measures, parametric and non-parametric significance tests and bootstrapping. Please visit the link above for a more detailed outline.


Both summer schools will feature:

  • Small class size (20) to maximise learning outcome
  • 3 lecturers present to enhance the pedagogical experience and one-to-one support
  • Comprehensive print out of notes, practicals and solutions as well as electronic materials and goody bags
  • Passionate and enthusiastic teachers
  • Daily refreshments and lunch
  • A highly competitive price
  • Central London location for easy travel
  • Social networking events for additional fun (over and above the entertainment from the stats classes!), including a West London musical! (all social activities are free to all attendees)


Extensive notes will be provided for both summer schools, and teaching will be interspersed with practical examples and activities throughout the days to ensure that everyone has understood the key principles. We strive to create an informal learning atmosphere with ample opportunities for participants to ask questions or voice confusion.

Please note that interested parties can only register via the UCL onlinestore. Expression of interest via email is not considered a registration, so please avoid this method.

Please do not hesitate to contact us should you have any queries; ich.statscou@ucl.ac.uk.