Advanced Statistics and Data Mining Summer School

Versión para impresión

The 11th edition has successfully concluded, with 153 students from 48 countries.
Thanks to all who have participated!

Madrid UPM Advanced Statistics and Data Mining Summer School

  A worldwide top ten maths and stats summer school according to INOMICS

Madrid - June 27th to July 8th, 2016

 

This summer school is organized by the Artificial Intelligence Department of the School of Computer Science of the Univ. Politécnica de Madrid. This year we celebrate its 11th edition. 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. The summer school comprises 12 week-long courses, of 15 lecture hours each, given during two weeks (six courses per week). 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. A leaflet summarizing the information is available here.

Academic interest: This summer school complements the background students from a variety of disciplines with the theoretical and practical fundamentals of those modern techniques employed in the analysis and modelling of large data sets. This makes it very interesting from the academic point of view since there are no specific university studies on this kind of techniques.

Scientific interest: Any scientist, regardless of her field (whether engineering, life sciences, economics, etc.) is confronted with the problem of extracting conclusions from a set of experimental data. This summer school supplies experimentalists with the sufficient resources to be able to select the appropriate analysis technique and to apply it to their specific problem.

Professional interest: The application of modern data analysis is widespread in the industry it is practically needed in nearly all disciplines. There are plenty job offers in the field: a Glassdoor.com search as of February 2015 retrieves around 20,000 offers for "data science" and around 16,000 offers for 'data mining', all within the USA only.

Goals

The goals of this summer school are to complement the technical background of attendees in the field of data analysis and modelling. This course is open to any student or professional wanting to enrich his knowledge of a topic that is more and more involved in nearly all productive areas (Computer Science, Engineering, Pharmacy, Medicine, Economics, Statistics, etc.).

A second objective of the summer school is to get the student acquainted with a set of computational tools for applying the learned techniques. This may involve tackling practical problems from the students own work environment, i.e., working with a student's own data set. 

Note that the summer school is on advanced techniques and the courses will provide insight into modern techniques that, nearly by definition, are not mathematically trivial. Although emphasis is placed on their use and not on the underlying mathematics, attendees should not be afraid or surprised of seeing some mathematics. Teachers will make the course content accessible to students from all backgrounds. For making the course easier, the student is supposed to be familiar with certain concepts that are described as "prerequisites" and she is encouraged to read the "before attending documents" in order to benefit from the course as much as possible.

Courses 

All classes will be given in English. Notice that courses in the same time block (e.g. C01 and C02; C03 and C04;...) are given simultaneously and therefore a student cannot register in both of these. Students should bring their own laptops with the software required for the practical sessions of the courses. Free wireless connection will be available.

There are now two sessions of course C05, the original one at 17:00 and an additional one at 09:45, both during week one. There are only free spots in the 09:45. 

Click on a course title to see its detailed programme and eventual prerequisites.

Week 1 (June 27th - July 1st, 2016)
9:45-12:45
Course 01: Bayesian Networks (15 h)
Lecturer(s): Concha Bielza, Pedro LarrañagaBojan Mihaljević (Univ. Politécnica de Madrid)
Course 02Time Series (15 h)
Lecturer(s): Ana Justel (Univ. Autónoma de Madrid), Luis Cayuela (Univ. Rey Juan Carlos)
Course 05: Neural Networks and Deep Learning (15 h)
Lecturer(s): José Dorronsoro, Álvaro Barbero, Alberto Suárez (Univ. Autónoma de Madrid)
This is an additional session of C05, because the 17:00 session has reached the maximum amount of students. 
13:45-16:45
Course 03: Supervised Pattern Recognition (15 h)
Lecturer(s): Pedro Larrañaga, Concha Bielza (Univ. Politécnica de Madrid)
Course 04: Bayesian Inference (15 h)
Lecturer(s): Mike Wiper, Concepción Ausín (Univ. Carlos III de Madrid)
17:00-20:00
Lecturer(s): José Dorronsoro, Álvaro Barbero, Alberto Suárez (Univ. Autónoma de Madrid)
Currently there are only available places for the 09:45 session.
Lecturer(s): Abraham Otero (Univ. CEU San Pablo)
 
Week 2 (July 4th - July 8th, 2016)
9:45-12:45
Course 07: Statistical Inference (15 h)
Lecturer(s): Román Mínguez (Univ. de Castilla-La Mancha)
Course 08:  Big Data with Apache Spark (15 h)
Lecturer(s): Felipe Ortega (Univ. Rey Juan Carlos)
13:45-16:45
Course 09: Text Mining (15 h)
Lecturer(s): Florian Leitner (Leitner Catalytics S.L.)
Course 10: Feature Subset Selection (15 h)
Lecturer(s): Bojan MihaljevićPedro Larrañaga, Concha Bielza (Univ. Politécnica de Madrid)
17:00-20:00
Lecturer(s): José Dorronsoro, Álvaro Barbero (Univ. Autónoma de Madrid), Carlos Alaíz (KU Leuven)
Course 12: Hidden Markov Models (15 h)
Lecturer(s): Agustín Álvarez (Univ. Politécnica de Madrid)

 

Dates and Times

Courses in the same time block (e.g. C01 and C02; C03 and C04;...) are given simultaneously and therefore a student cannot register in both of these.

  • Week 1: June 27th - July 1st, 2016
  • Week 2: July 4th - July 8th, 2016

The timetable of each week is as follows

Timetable Week 1 - Monday-Friday
Week 2 - Monday-Friday
9:45-12:45

C01: Bayesian Networks

C02: Time Series

C05: Neural Networks and Deep Learning

C07: Statistical Inference

C08: Big Data with Apache Spark

13:45-16:45

C03: Supervised Pattern Recognition

C04: Bayesian Inference

C09: Text Mining

C10: Feature Subset Selection

17:00-20:00

C05: Neural Networks and Deep Learning

C06: Unsupervised Pattern Recognition

C11: Support Vector Machines and Regularized Learning

C12: Hidden Markov Models

Venue

The summer school takes place at UPM’s School of Computer Science, located at the Montegancedo campus, in Madrid's Boadilla del Monte municipality, some 20 kilometers from downtown Madrid. The campus is well connected with central Madrid, via light rail line and multiple buses lines. 

Fees

The tuition fees include attendance to lectures and educational materials. There is an early-registration period until June, 6th (CET). The price for each one of the 12 courses is:

 

Before June 6th

After June 6th

Academia

200 €

250 €

Industry

300 €

350 €

People who are not currently working are eligible for academia fees. Note that the above per-course price is fixed, regardless of how many courses a student enrolls in.

This year there is a 25% discount for members of the Spanish AEPIA and SEIO societies.

Registration

Courses have a maximum attendance of 40 people whereas courses with less than 6 people will not be opened. For each attended course, the student will get an assistance certificate signed by school coordinators. Course places will be filled in strict order of payment date.

Note that enrollment is only possible until Wednesday 22nd for week one courses and Wednesday 29th for week two courses.

The application process is very simple. Unless otherwise stated here, all the courses have open places. To apply for one course or a set of courses, the student should make the correspondent payment and report their personal data to the organization by email (asdm@fi.upm.es). These data must comprise the following items:

  • Full name, e-mail, institution and nationality
  • Passport number (or national ID card number if passport is n/a)
  • List of course(s) you want to enrol
  • Attachment with the wire transfer proof for the total amount of fees (preferably in PDF format)
  • [Optional] If you are a member of AEPIA or SEIO, then a proof of active membership. A proof of membership quota can do.

The bank details for the payment are as follows.

  • To: ASDM
  • Subject: Course(s) number(s) + your name
  • Bank name: Banco Bilbao Vizcaya Argentaria BBVA
  • Bank Address: Paseo de Recoletos, 10, 1. planta, E-28001, Madrid
  • Account Number: 0182 2370 44 0201522862
  • SWIFT: BBVAESMMXXX
  • IBAN: ES74 0182 2370 44 0201522862
  • Account owner: Fundación General de la Universidad Politécnica de Madrid

When carrying out the payment, make sure that you cover the wiring expenses (if any), so that the amount transfered to our account matches the corresponding course fees exactly. If not, we will ask you to wire the remaining amount. Once all the information is validated, the student will receive a confirmation email.

In case you carry out a payment for a course that has already reached maximum attendance, and we cannot enrol you, we will refund your payment. However, note that the refunding procedure might take some time, so it is best that you check with us before carrying out the payment. Note that this is currently only an issue for course C05; the rest courses still have enough available slots.

Accomodation

The summer school does not provide lodging. We usually recommend the NH Ciudad de la Imagen hotel, located halfway between the campus and Madrid and reachable by a ten-minute bus ride. Note that last year students have reported very poor WIFI connection in this hotel, so you should probably check this with NH before booking.

Students also stay around the Principe Pio area in downtown Madrid. It is centric and well connected, with the commute to campus taking around 40 minutes.

The NH Ciudad de la Imagen might be preferable if you will follow many courses and will have little time for other activities besides attending the summer school. Lodging near Principe Pio, on the other hand, makes it easier for you to enjoy a bit of Madrid during your stay.

For a list of hotels that the UPM has agreements with, see here.

Reaching campus

You can reach the Montegancedo campus by buses 571, 573, 591, and 865 and by light rail line ML 3. The buses are faster and leave you at campus or very close to it. 

From NH Ciudad de la Imagen Hotel

 You can catch buses 571 and 573 in front of the hotel and the light-rail at the José Osbert ML 3 station.

From Madrid

  • Colonia Jardin (metro line 10). You can catch the buses 571, 573 and 591 here. You can catch the light rail at the ML3 Colonia Jardin station.
  • Ciudad Universitaria (metro line 6). Catch the 865 here.
  • Aluche (metro line 5). Catch the 591 here or the 571 here
  • Principe Pío (metro lines 6 and 10). Catch the 573 here.

Getting off at the campus

Buses 591 and 865 leave you on campus. With 591 you get off at the last station whereas with 865 it's at next-to-last, called ‘Facultad de Informática’. 

If arriving with 571 or 573 you need to get off at the ‘Facultad de Informática' bus station (station name is shown on a display inside the bus, on the front side), and walk to entrance.

If arriving by light-rail you will have to walk 1.4 kilometers to campus. As you leave the light-rail station, turn right and walk down Avda. Montepríncipe.

Click here for a detailed map of campus and surroundings.

Timetable

Here are the timetables for the 571, 573, 591 and 865 buses in direction from Madrid to campus.

In direction campus to Madrid, the timetables are these: 571, 573, 591 and 865.  Please note that the timetables for some buses differ for June and July.

Tickets

A single trip for 591, 865 and the light rail costs 2 euros whereas a 10-rides ticket costs 12.20 euros. A single ride with 571 and 573 costs 2.60 euros whereas a 10-rides tickets costs 16.10 euros.

Further information

Madrid underground: www.metromadrid.es/en
Madrid transport: www.ctm-madrid.es

Course materials and software installation instructions

Course materials with be sent on the Wednesday prior to course kick-off, that is, on Wednesday 22nd for week one, and Wednesday 29th for week two.

On the following day, the professors will send the instructions for installing the required software. In exceptional cases this may happen earlier, if the professor considers that the amount of software to be installed is substantial.

Classrooms

The courses will be held at Bloque 6 (see campus map):

Room 6101: courses C01, C03, C05 (afternoon), C07, C09, C11
Room 6105: courses C02, C04, C06, C08, C10, C12
Room 6306: morning session of C05

We will provide data for wifi access on the first day of classes. Eduroam is available.

Cafeteria

The cafeteria is located in Bloque 3 (see campus map). It opens from 8:00 to 20:00 and serves sandwiches, salads, drinks, hamburgers, and other dishes. 

Lunch is served from 13:00 to 16:00. The self-service menu includes a starter, a main dish, a dessert and bread for 5.30€ with a drink (menu con bebida) and 4.80€ without a drink. You can also buy a 10-meal ticket (menu 10 comidas) for the price of 9 single meals. You pay for the mean at the vending machine (see image below) and receive a ticket which you hand over to the cafeteria staff.

There are microwave ovens that you can use if you want to bring you own food.

Around campus

Some of the services provided on campus, such as study rooms, are listed here. The library is located on the ground floor of Bloque 3, with study rooms and areas located across Bloque 3, with additional study rooms on the 1st floor of Bloque 1.

If you need to print something, you can use the publications service at room S6001, in the lower floor of Bloque 6 (a level below classrooms 6101 and 6105). It is only open from 08:00 to 14:00. In order to print, you need to purchase (on spot) a printing card which costs one euro.

The preffered entrance to the building is via Bloque 5. Once you enter, you go straight down the hallway and then left just before the stairs that go downwards. Below is a picture of the entrance and the spot where you should turn left in the hallway. There will be signs posted indicating the way.

Cancellation and changes

It is only possible to cancel enrollment in a course for medical reasons, and only before that course begins.

If a student would like to replace one course with another, he or she must request this before Wednesday 22nd for week one courses and Wednesday 29nd for week two courses. We will evaluate each request and to attempt to grant it, but there might be restrictions and we cannot provide guarantees.  

Contact

School coordinators:

Pedro Larrañaga
Escuela Técnica Superior de Ingenieros Informáticos
Univ. Politécnica de Madrid
Campus Montegancedo s/n
28660 Boadilla del Monte, Madrid
Spain

Tel.: +34 91 336 7443
Fax: +34 91 352 4819

 

Concha Bielza
Escuela Técnica Superior de Ingenieros Informáticos
Univ. Politécnica de Madrid
Campus Montegancedo s/n
28660 Boadilla del Monte, Madrid
Spain

Tel.: +34 91 336 7434
Fax: +34 91 352 4819

Management:

Bojan Mihaljević and Laura Antón-Sánchez
Escuela Técnica Superior de Ingenieros Informáticos
Univ. Politécnica de Madrid
Campus Montegancedo s/n
28660 Boadilla del Monte, Madrid
Spain

Tel.: +34 91 336 3675
Fax: +34 91 352 4819

 

Contact email
asdm@fi.upm.es

ASDM Photographs

Click on the photos to download large versions.

ASDM 2016

First week

Second week

   

ASDM 2015

First week

Second week

   

ASDM 2014

First week

Second week

   

ASDM 2013

First week

Second week

   

ASDM 2012

First week

Second week

ASDM 2012 Group Photo Week 2

ASDM 2011

First week

Second week

ASDM 2012 Group Photo Week 2
English