Top 10 Summer Schools 2016: Math & Stats
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It's early to start planning for the summer – but if you want to make the most of your time as a student, you need to look ahead! If you have time off between semesters in your undergraduate or masters degree, you can use that time to attend a summer school. These residential courses typically run from between one week and three weeks, and involve teaching on specialist topics, and group workshops too. Plus, they are are great opportunity to network with fellow students and researchers in your field.
Organizer: Timberlake Consultants
Location: London, United Kingdom
Duration: Jul 4, 2016 to Jul 9, 2016
Details: Timberlake Consultants, official distributor of Stata, offer the summer school comprising a series of four 1-day courses and one 2-day course. All courses will be delivered interactively using the internationally used software package Stata. This is a great opportunity for students, academics and professionals to expand their econometrics skills and learn how they can apply econometrics and statistics from professionals pioneering research at the forefront of their specialist fields. See also other Timberlake's summer courses here.
Organizer: Harvard University
Location: Cambridge, MA, USA
Duration: Jun 20, 2016 to Aug 7, 2016
Details: Are you a college student, a professional seeking advancement, or an international student interested in studying at Harvard for the summer? During this course, you will be introducted to statistical principles, applications, and analysis. Topics include descriptive statistics, probability, sampling procedures, estimation methods, confidence intervals, tests of significance, chisquare tests, regression and correlation, and analysis of variance. Computer programming knowledge is not required. Stata is used and taught in the course.
Organizer: University of Cambridge
Location: Cambridge, United Kingdom
Duration: Jul 24, 2016 to Aug 20, 2016
Details: Cambridge Immerse is a unique two week residential educational experience with a diverse and enriching curriculum, designed and taught by Oxford University and Cambridge University staff. Tutorials and seminars are taught by highly regarded tutors in an optimal learning environment that stimulates academic enquiry; yet the carefully planned schedule ensures that the programme not only meets the academic needs of the participants, but also provides a unique insight into the university city through an abundance of extracurricular activities. The Cambridge Immerse Mathematics course is perfect for those considering studying mathematics at university level. As well as consolidating students’ existing understanding of core mathematical topics, the course introduces students to more advanced topics and areas of study.
Organizer: Complex Systems Society
Location: Como, Italy
Duration: May 16, 2016 to May 20, 2016
Details: The school offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.
Organizer: University of Notre Dame
Location: Notre Dame, IN, USA
Duration: Jun 13, 2016 to Jun 17, 2016
Details: Organized jointly by IsaacGoldbring (University of Illinois at Chicago), Anand Pillay (University of Notre Dame) and Sergei Starchenko (University of Notre Dame), this graduate summer school encomprises a series of mini-courses on Continuous Model Theory, Topological Dynamics and Model Theory, Descriptive Set Theory and Model Theory and Stability, Combinatorics, and NIP.
Organizer: University of Michigan
Location: Ann Arbor, MI, USA
Duration: Jun 13, 2016 to Jun 24, 2016
Details: This summer school is motivated by the observation that there are several non-overlapping techniques used in random matrix theory. Its goal is to provide an opportunity for graduate students and postdocs to learn these different techniques and acquire the background necessary to understand how they can be applied for understanding the properties of random matrices. Students are expected to have some basic working knowledge on random matrix theory.
Organizer: GESIS – Leibniz-Institute for the Social Sciences
Location: Cologne, Germany
Duration: Aug 4, 2016 to Aug 26, 2016
Details: This summer school offers high quality training in state of the art techniques and methods of survey research. It aims to give a broad overview of survey methods and equip participants with essential skills in designing, planning, execution, documentation and quality assurance of surveys.It also provides an opportunity to deeply engage with the different tasks of survey design and implementation, different survey modes, and research designs involving surveys. Participants may expect good networking opportunities, a supportive social environment, and an exciting time in Cologne.
Organizer: Mathematical Sciences Research Institute
Location: Berkeley, CA, USA
Duration: Jun 11, 2016 to Jul 24, 2016
Details: The MSRI Undergraduate Program is a comprehensive summer program designed for undergraduate students who have completed two years of university-level mathematics courses and would like to conduct research in the mathematical sciences. The main objective of the MSRI-UP is to identify talented students, especially those from underrepresented groups, who are interested in mathematics and make available to them meaningful research opportunities, the necessary skills and knowledge to participate in successful collaborations, and a community of academic peers and mentors who can advise, encourage and support them through a successful graduate program.
Organizer: Hausdorff Center for Mathematics
Location: Bonn, Germany
Duration: Mar 29, 2016 to Apr 2, 2016
Details: Hausdorff School offers three lecture series of 4-5 talks as well as exercise and discussion sessions. The topics discussed during the lectures will include: applications of stability conditions, generators and dimension in triangulated categories and uniqueness of DG enhancements.
Organizer: Technical University of Madrid
Location: Madrid, Spain
Duration: Jun 27, 2016 to Jul 8, 2016
Details: This summer school is organized by the Artificial Intelligence Department of the School of Computer Science. It comprises intensive courses which aim to provide attendees with an introduction to both the theoretical foundations and the practical applications of some of the modern statistical analysis techniques currently in use. Each course has theoretical as well as practical classes, in which each technique is put into practice with a computer program. Students are free to choose the courses according to their interests, with the only restriction being that courses which are given in parallel are mutually exclusive.
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