QTEM summer school

Data Analysis in Business

MONASH BUSINESS SCHOOL

29 Jun 2017 - 14 Jul 2017

Melbourne, Caulfield Campus (Australia)

This three-week study program gives you the chance to learn about the dynamic field of data analysis. You will study at a master’s level with MBA and graduate students from across Monash Business School. Covering a range of topics in data analysis around descriptive statistics, data visualisation, regression, time series and forecasting, the Data Analysis in Business unit will give you a solid foundation for data analytics within business contexts. The program is designed by leading academics and data scientists. It draws on current research and trends in description and summation, data mining, confidence intervals and hypothesis testing, regression analysis, time series and forecasting, and decision making under uncertainty

Objectives

The first objective of this unit is for students to understand which data analysis technique is appropriate to address a business problem and then, with the support of the relevant software, to apply that technique. The second objective is for students to learn how to interpret the results and extract useful business insights. An applied approach will be taken. Topics covered include data description and summation, data mining, confidence intervals and hypothesis testing, regression analysis, time series and forecasting and decision making under uncertainty. Software used will be Microsoft Excel.

Outcomes

The learning goals associated with this unit are to:

  1. build the analytical skills of the student through their understanding and applying a range of data analysis techniques
  2. develop an understanding of how to interpret statistical findings and draw relevant insights in a business context
  3. enhance report writing skills by developing an understanding of the process of preparing a business report based on insight gained from statistical analyses
  4. enhance communication, interpersonal, problem solving and critical thinking capabilities
  5. develop capabilities to be future generators of sustainable economic, social and environmental value for business.

Perequisite

Students must be enrolled in 0028 to undertake this unit.

ECTS equivalent

0.0000

Local credits

6.0000
Read more
Contact: Prof. Robert Brooks - robert.brooks@monash.edu
QTEM summer school

QTEM International Summer School of Business Analytics

ZHEJIANG UNIVERSITY

2 Jul 2017 - 7 Jul 2017

Hangzhou (China)

Schedule:

  • July 2: Registration
  • July 3:
    • Morning- Opening ceremony
    • Speech by Mr. Yu LIU from Getui Company: Mobile device data and precision marketing
    • Afternoon- Seminar by Prof. Guoming LAI: Big data and contemporary business operations
  • July 4:  
    • Seminar by Prof. Sha YANG: Methods in empirical modeling of consumer behavior
  • July 5:  
    • Seminar by Prof. Chenhui GUO: Econometric models for business research
  • July 6:  
    • Seminar by Prof. Daning HU: Business network analysis and applications
  • July 7:  
    • Morning- Seminar by Prof. Alvin LEUNG: Empirical research methods to analyze online investors' digital footprints
    • Afternoon- Speech by Dr. Ziming ZHUANG from Alibaba Company: Opportunities and challenges for content-based e-commerce
    • Closing ceremony

Local credits

0.0000
Read more
Deadline for subscription: 20 May 2017
Contact: quwg@zju.edu.cn
QTEM summer school

 ISU Frankfurt - European Finance

GOETHE-UNIVERSITÄT FRANKFURT AM MAIN

16 Jul 2017 - 12 Aug 2017

Frankfurt (Germany)

The Hessen International Summer University Frankfurt consists of academic tracks in European Finance and European Studies, German language courses, and a cultural program. The program is unique in that it takes place at two different universities in Frankfurt - at the Frankfurt University of Applied Sciences and Goethe University Frankfurt am Main. You will spend two weeks at each university (for a total of four weeks) and participate in a cultural program with extracurricular activities to help you discover Frankfurt and Europe!

 

 

Course outline

Program of the European Finance track: SEMINAR I – CULTURAL AWARENESS AND NEGOTIATIONS IN DEBT FINANCING ·       Part I – The Challenges of Intercultural Communication ·       Part II – Negotiations in Debt Financing SEMINAR II – FINANCING IN THE EUROPEAN UNION & RISK MANAGEMENT ·       Part I – German and European Central Banking ·       Part II – Non-Financial Risk Management in Banks You will also benefit from the numerous financial institutions located directly in Frankfurt. We will take field trips to the European Central Bank (ECB), the German Central Bank, and the German Stock Exchange. The academic program consists of two seminars, each worth 3 ECTS points (6 ECTS points total). 

Perequisite

Please note the academic program European Finance is designed for Business, Economics, and Finance students. The European Studies program is open to students from all academic disciplines. If you are unsure which academic track is right for you, the Hessen:ISU Frankfurt team is happy to advise you.

Fees QTEM students

Program Fee/Tuition Program fee: €2100 Early Bird Discount available until April 14, 2017: €1800 Students from partner institutions are eligible for the discounted fee of €1800 at any time.

Registration

To apply to Hessen:ISU Frankfurt please send us your completed application form together with: 1. Your current resume 2. A copy of your current transcript OR a list of courses you have completed related to your degree 3. A short letter of motivation: Why would you like to participate in Hessen:ISU Frankfurt? What is your main interest in the program and what do you expect to learn? Application Deadlines: Early Bird Registration is until April 14, 2017. Program Deadline is Extended - Applications are now being accepted until May 31, 2017!

ECTS equivalent

0.0000

Local credits

6.0000
Read more
Deadline for subscription: 31 May 2017
Contact: Melanie Voigtländer - voigtlaender@wiwi.uni-frankfurt.de
QTEM summer school

Crash Course in Experimental Economics

UNIVERSITEIT VAN AMSTERDAM

17 Jul 2017 - 22 Jul 2017

Amsterdam (Netherlands)

This one-week crash course is an introduction to the field of experimental economics. At the end of the course you will have the skills needed to design and run an experiment as part of your thesis. In 2016, we offered a new feature at the end of the crash course: an additional one-day module on Statistical Data Analysis.

Course outline

This introductory course provides an in-depth analysis of some recent developments, including the rapid growth of behavioural economics and the increased use of field experiments. Because experimental economics is a methodology often used to test economic theory, the course also covers theoretical issues (more specifically, game theory), when appropriate. Topics include: experimental methodology  behavioural economics (public goods, bargaining, other-regarding preferences) industrial organisation (auctions, double auction, market power, mechanism design)  individual decision-making (expected utility, probability weighting)  analysis of experimental data For the experiments, students will be split into groups of 5 or 6. Each group will develop an experiment on their preferred topic and run the experiment using the other students as participants. The groups will then analyze the data and present the results. A class discussion will follow.

Perequisite

We welcome Master’s and PhD students, alumni, or professionals in economics and related fields to join this course. Students are expected to have passed an intermediate-level course in micro-economics (including basic game theory).

Fees QTEM students

Fee: € 999 (PhD and Masters students); Additional one-day module Data Analysis: € 250 Others (postdocs, professionals) fee: € 1.250. Additional one-day module Data Analysis: € 300 The course fee includes: materials (book and slides), daily lunches, social event including a dinner and a farewell party including drinks. Accommodation costs are not covered by this fee. The TI-UvA summer school has housing options available.

Registration

summerschool@tinbergen.nl

ECTS equivalent

3.0000

Local credits

3.0000
Read more
Deadline for subscription: 15 Jun 2017
Contact: summerschool@tinbergen.nl
QTEM summer school

Using artificial intelligence to detect trends in the fashion industry

SOLVAY BRUSSELS SCHOOL OF ECONOMICS AND MANAGEMENT, ULB

21 Aug 2017 - 27 Aug 2017

Brussels (Belgium)

This course will walk you through the latest developments in artificial intelligence, data science and their impact on the fashion industry. We introduce basics of web scraping, NoSQL databases and machine learning.

By focusing on the business case of apparel industry that used to rely heavily on intuition and feelings, students get a quick sense of the shift data are making on our economy.

Course outline

- NoSQL databases

- Web scraping

- Machines learning

- Text mining

- Image recognition

 

Why take this course

This course will bring you both a good understanding of data science techniques and a practical application of a data-driven business approach

Business involvement

Digitalisation has proved to have a profound impact on fashion industry. It moved retailers from a brand loyal customer base market to a strongly competitive landscape on which educated customers are comparing assortments to get the most value in their purchase. On the other hand big data techniques are enabling fashion retailers to make smarter data-driven decisions on their assortments, pricing and discount to react quickly and stay competitive in this new environment. In this summer school, active entrepreneurs from the Big Data and Analytics industry will introduce you to the business challenges raised by this data analytics (r)evolution. But also, how to tackle them through practical case studies.

Fees QTEM students

Your week includes: - 8 days Lodging on University Campus - Campus Tour on Friday 17th - Welcome dinner on Friday 17th - City Tour of Brussels on Saturday 18th - Ice Breaking Night on Saturday 18th - City Tour of Bruges on Sunday 19th - 5 full-day Courses from August 20th to 24th - Farewell Dinner on August 25th - Farewell Party on August 25th - All Breakfast and Lunch included - Welcome Pack - Brussels Mobility Card COST: 990€*

Registration

1. Application To apply, send your CV to info.summerschool@solvay.edu. The final application deadline is July 10th 2018. 2. Selection After a thorough selection, all candidates will receive an e-mail to confirm their status. The selected student will have 5 days to fill in a special form. 3. Invoice It will be sent to the candidates who will, in return, have 10 working days to pay for the Summer School program. Beyond that deadline, their application will be denied. *This edition is limited to 40 participants * Does not include travel costs from and to Brussels 4. Finalization After receiving the payment, enrolled candidates will receive an official invitation letter from the Dean of Solvay Brussels School of Economics and Management.

Other information

Application deadline is 10 July 2018

ECTS equivalent

0.0000

Local credits

5.0000
Read more
Contact: Pierre Deville - pdeville@ulb.ac.be
QTEM summer school

From transfer prices of football players to sushi boxes: understanding pricing models through hedonic price methods

SOLVAY BRUSSELS SCHOOL OF ECONOMICS AND MANAGEMENT, ULB

21 Aug 2017 - 25 Aug 2017

Brussels (Belgium)

  • Professor: Michele Cincera (mcincera@ulb.ac.be) and Julien Ravet (jravet@ulb.ac.be)
  • 5 ECTS - 24 hours
  • Min. 15 students - max. 40 students

Overview

What is 'Hedonic Pricing'?
Hedonic pricing is a model identifying price factors according to the premise that price is determined both by internal characteristics of the good being sold and external factors affecting it.
The most common example of the hedonic pricing method is in the housing market: the price of a property is determined by the characteristics of the house (size, appearance, features, condition) as well as the characteristics of the surrounding neighbourhood (accessibility to schools and shopping, level of water and air pollution, value of other homes, etc.). The hedonic pricing model is used to estimate the extent to which each factor affects the price.

Program outline:

  • 18 August, 20h: Welcome speech by Bruno van Pottelsberghe followed by a barbecue
  • 19-20 August: optional cultural activities

Courses (21-25 August):

  • Day1:
    • AM 9-13h: the hedonic price model (theory)
      PM 14-18h: the hedonic regression: tests and hypothesis (theory)
  • Day2:
    • AM 9-13h: introduction to STATA + preparing the data and descriptive stats
      PM 14-18h: the hedonic regression: tests and hypothesis (implementation)
  • Day3: 
    • AM 9-13h: preparation of the report
    • PM 14-18h: preparation of the report
  • Day 4:
    • AM 9-13h: preparation of the report
    • PM 14-18h: visit of a company
    • PM 19h: dinner
  • Day 5: 
    • AM 9-13h: students defence
    • PM 14-18h: students defence
  • 25 August,19h: Graduation ceremony and farewell party

Example of topics (with available datastets of 2017): Football players price transfers; Sushi delivery services; Television prices; Airbnb rentals; MBAs fees; Green tea prices; Champagne prices; Ryanair fares; ...

Practical information

  • Admission requirement: basic course in econometrics
  • Language of the course: English
  • Tuition fees: 1500€ (including teaching material, accommodation, breakfasts, lunches, welcome and farewell + one dinner) NB: QTEM’s students get a 20% discount!
  • Registration: mcincera@qtem.org (deadline 30/7/2017)

Visa: Applicants who need a visa to enter Belgium will receive an Acceptance Letter which declares their registration

Course outline

Program outline: 18 August, 20h: Welcome speech by Bruno van Pottelsberghe followed by a barbecue 19-20 August: optional cultural activities Courses (21-25 August): Day1: AM 9-13h: the hedonic price model (theory) PM 14-18h: the hedonic regression: tests and hypothesis (theory) Day2: AM 9-13h: introduction to STATA + preparing the data and descriptive stats PM 14-18h: the hedonic regression: tests and hypothesis (implementation) Day3:  AM 9-13h: preparation of the report PM 14-18h: preparation of the report Day 4: AM 9-13h: preparation of the report PM 14-18h: visit of a company PM 19h: dinner Day 5:  AM 9-13h: students defence PM 14-18h: students defence 25 August,19h: Graduation ceremony and farewell party Example of topics (with available datastets of 2017): Football players price transfers; Sushi delivery services; Television prices; Airbnb rentals; MBAs fees; Green tea prices; Champagne prices; Ryanair fares; ...

Perequisite

Admission requirement: basic course in econometrics Language of the course: English

Fees QTEM students

Tuition fees: 1500€ (including teaching material, accommodation, breakfasts, lunches, welcome and farewell + one dinner) NB: QTEM’s students get a 20% discount!

Registration

Registration: mcincera@qtem.org (deadline 30/7/2017)

Other information

Visa: Applicants who need a visa to enter Belgium will receive an Acceptance Letter which declares their registration

ECTS equivalent

0.0000

Local credits

5.0000
Read more
Deadline for subscription: 15 Jul 2017
Contact: mcincera@ulb.ac.be
QTEM summer school

Stata Winter School

UNIVERSITY OF PORTO

22 Jan 2018 - 26 Jan 2018

Porto (Portugal)

Timberlake (Portugal) and FEP (U. Porto) are jointly organizing a set of applied Econometrics courses using Stata. The aim of these courses is to familiarize the participants with key econometric tools commonly used in applied research. The courses include a quick discussion of the relevant econometric theory as well as an in-depth discussion of empirical applications using real data. The course will take place at FEP (U. Porto) on January 2018. All participants are invited to wine tasting and special dinner on thursday, 25th. This event is included in the price of the Winter School.

Course outline

Day 1 - Introduction to Stata delivered by Miguel Portela

  *   Introduction to Stata: from menus to 'do' files

  *   Handling data with different data types: Stata, ASCII, Excel, CSV, Web Data and ODBC

  *   Data Reshaping

  *   Combining different data sets: merge and fuzzy merge

  *   Exploratory data analysis: descriptive statistics and graphic manipulation

  *   From Stata to LaTex, Word and Excel: efficient procedures to export descriptive statistics, graphs and regression tables

 

Day 2 - Regression analysis & causality delivered by João Cerejeira

  *   Econometric concepts: Regression analysis - OLS & GLS

  *   Basic issues in program evaluation; Causality and the problem of selection bias

  *   Regression and causality

  *   Instrumental variables (two stage least squares (2SLS); weak instruments; overidentification tests)

  *   Propensity score matching

  *   Longitudinal data: Differences-in-differences (DD)

 

Day 3 - Panel data delivered by Miguel Portela

  *   Panel data regression: dealing with endogeneity issues

  *   Data structure & formulation of the model

  *   Fixed and Random Effects in Static Models

  *   Hausman test for the validity of the random effects model

  *   Hypothesis testing, Test for the presence of fixed effects, Wald tests, testing multiple hypothesis

  *   Heteroscedasticity, Autocorrelation, Robust Estimation

  *   Dynamic Panel Data: endogeneity & GMM - First-differences & the System GMM estimator

 

Day 4 - Discrete Choice Models delivered by Anabela Carneiro

  *   Binary Response Models

     *   Maximum Likelihood Estimation

     *   Measures of Fit

     *   Marginal Effects

     *   Hypothesis tests

  *   Multinomial Models

  *   Conditional Logit Models

  *   Ordered models

Special Event: Wine tasting and dinner


Day 5 - Count Data Models delivered by Paulo Guimarães 

  *   Discrete distributions

  *   Poisson regression

  *   Negative Binomial Regression

  *   Conditional Counts

  *   Zero Truncated Regression

  *   Excess Zeros

  *   Endogenous Regressors

  *   Panel data

ECTS equivalent

0.0000

Local credits

0.0000
Read more
Contact: INFO@TIMBERLAKE.PT
QTEM summer school

Digital Transformation: Applying Social Network Analysis

BI NORWEGIAN BUSINESS SCHOOL

25 Jun 2018 - 6 Jul 2018

Oslo (Norway)

ABOUT THE COURSE 

Digital technologies are increasingly permeating the way we work, live, and think. This summer school course intends to equip students with a set of analysis techniques to understand the antecedents, effects and outcomes of this digital transformation better. The focus will be on social network analysis as a method to study the social and economic implications of digital technology from an empirical point of view.

COURSE DETAILS

  • Master Level - 6 ECTS credits
  • A variety of social and cultural activities included
  • Eligible applicants must have a completed degree comparable to a bachelor’s degree. Students are expected to have taken classes in statistics and have working knowledge of MS Excel and SPSS. We expect students to have a solid grasp of the English language as well as a strong interest in the issues at hand, and to actively participate in class.

DATES

  • Two-week course from 25 June to 6 July
  • Welcome information 23 June

INCLUDED IN THE PROGRAMME

  • Lectures in Digital Transformation – Applying Social Network Analysisby highly qualified faculty members from BI Norwegian Business School
  • Social and cultural activities – including a weekend expedition, sightseeing and outdoors activities (hiking, climbing, barbecues)
  • Insight into Norwegian industries through guest lectures and company visits

LEARNING OUTCOME

After taking this summer school course, students will

  • understand digital transformation better
  • be equipped with the concepts to analyse relational dynamics of social and digital media effectively
  • have the methodological tools at hand to analyse social networks from a range of data
  • be able to interpret network visualisations and articles using social network analysis appropriately

ACQUIRED SKILLS 

  • Practical skills to collect social media data – APIs, SQL, etc.
  • Ability to conduct social network analysis on a range of data using software such as Gephi, Netlytic and R
  • Network visualisation skills using Gephi and other software (e.g., UCINET Netdraw)
  • Have a first understanding of complex network modelling methods (e.g., ERGM, Siena)

REFLECTION

  • Developing a critical understanding of the managerial and social challenges of digital transformation
  • Understanding the relational nature of society
  • Interpreting the dynamic role of influence in social networks as expressed in phenomena like influentials and opinion leaders
  • Reflecting on the role of data, especially big data, and its role in transforming work and society
  • Integrating key concepts learned in the course such as social capital and social networks

 

    Course outline

    TOPICS

    The following topics will be covered during the two weeks: 

    1. Introduction: Why Social Networks?
      An overview of the social networks approach, and a showcase of current examples in the form of interesting research and company studies concerning challenges of digital transformation. Students will get a first grasp of practical questions and challenges related to new forms of production and work that come with digital technologies.
    2. Principles of Social Network Analysis I
      The scientific origins of social network analysis, introducing some fundamental concepts from graph theory. Introduction of concepts such as ego, group, and global networks, and their applicability to real-world challenges.
    3. Principles of Social Network Analysis II
      Core Concepts of Social Network Analysis will be introduced further, such as network structure, and network centrality.
    4. Practice-Oriented Social Network Analysis
      Introduction to software such as pajek and gephi
    5. Essentials of Data Gathering
      Sources for Gathering Social Network Data, from APIs to repositories to services. Introduction to working with SQL-Databases
    6. Visual and Qualitative Social Network Analysis
      Qualitative Gathering and Analysis of relational Data, Network Visualisation and Visual Analysis of Networks
    7. Advanced Quantitative Social Network Analysis
      Regression and work with R
    8. Project Presentation and Discussions
      Students will present their findings to the group and discuss them critically with the other participants in the course. The main findings, implications and challenges during the research project are addressed, trying to condense the key learning across the groups.

    Registration

    https://www.bi.edu/programmes-and-individual-courses/international-summer-programme/how-to-apply/

    Other information

    Two-week course from 25 June to 6 July Welcome information 23 June

    ECTS equivalent

    6.0000

    Local credits

    0.0000
    Read more
    Deadline for subscription: 1 Apr 2018
    Contact: studier@bi.no
    QTEM summer school

    Your Data Driven Summer

    TILBURG UNIVERSITY

    9 Jul 2018 - 20 Jul 2018

    Tilburg (Netherlands)

    Data Science is becoming more and more essential to find answers to the challenges of our era. To accelerate data science-based solutions, the Jheronimus Academy of Data Science (JADS) was formed. JADS is an unique concept in the Netherlands: At three different locations  - the JADS Mariënburg campus in ‘s- Hertogenbosch, Eindhoven University of Technology (TU/e) and Tilburg University - Data Science can be studied, researched and applied at the highest level.

    • Content:
      Over two weeks you take courses in five Data Science focus fields and at three different campuses. It’s a great introduction to the world of data science, and the multidisciplinary excellence of JADS.
    • Entry requirements:
      Students with an interest in the field of Computer Science and Data Science, currently pursuing a Bachelor’s of Master’s degree. Please be aware that English proficiency (spoken and written) is required.
    • Start date:
      Monday 9 July 2018
    • Duration | ECTS:
      2 weeks | 4 ECTS
    • Language of instruction:
      English
    • School:
      Jheronimus Academy of Data Science
    • Course fee:

      Course fee: €1000

      • 10% early bird discount when registering before the 1st of April*
      • 10% discount for current Tilburg University students*
      • 10% discount for students from partner universities*

      *Combining discounts is not possible, discounts are not applicable for Language courses

    PLEASE NOTE: This course is 4 ECTS and, therefore, cannot count towards a QTEM exchange replacement.

    Course outline

    Your Data Driven Summer introduces you to five key Focus Fields:

    • Data Science & Entrepreneurship

    These courses focus on Data Science and its application in business. Special attention is given to entrepreneurship within the Data Science realm.

    • Data Science in Engineering

    This focus field includes mathematics and computer Science offered at TU/e.

    • Data Science Business and Governance

    This course focuses on knowledge and expertise in the area of data analysis and data mining, and also on the economic, management and legal perspectives of big data.

    • Marketing Analytics

    In this focus field the highlight is on the ways that Big Data is gaining importance in the marketing field; companies are looking for academic professionals who can analyze data and give managerial advice based on the findings.

    Perequisite

    Entry requirements: Students with an interest in the field of Computer Science and Data Science, currently pursuing a Bachelor’s of Master’s degree. Please be aware that English proficiency (spoken and written) is required.

    Fees QTEM students

    Course fee: €1000 10% early bird discount when registering before the 1st of April* 10% discount for current Tilburg University students* 10% discount for students from partner universities* *Combining discounts is not possible, discounts are not applicable for Language courses

    Registration

    https://www.tilburguniversitysummerschool.nl/ Registration TUSS 2018 During the registration process, you are required to submit the following information related to your academic background: Scanned copy of your transcript of records and Diploma (if applicable). Curriculum Vitae. Your registration for Tilburg University Summer School must be completed by May 31st, 2018. Note that the Early Bird application deadline is April 1st, 2018. Tilburg University Summer School reserves the right to cancel the course in case there are not enough applicants. If the maximum number of students is reached, a waiting list will be used.

    Other information

    PLEASE NOTE: This course is 4 ECTS and, therefore, cannot count towards a QTEM exchange replacement.

    ECTS equivalent

    0.0000

    Local credits

    4.0000
    Read more
    Deadline for subscription: 31 May 2018
    Contact: summerschool@tilburguniversity.edu
    QTEM summer school

    Data Science in the Fashion Industry

    SOLVAY BRUSSELS SCHOOL OF ECONOMICS AND MANAGEMENT, ULB

    17 Aug 2018 - 26 Aug 2018

    Brussels (Belgium)

    Digitalization has proved to have a profound impact on fashion industry. It moved retailers from abrand loyal customer base market to a strongly competitive landscape on which educated customers are comparing assortments to get the most value in their purchase. On the other hand, Big Data techniques are enabling fashion retailers to make smarter data-driven decisions on their assortments, pricing and discount to react quickly and stay competitive in this new environment.
    In this summer school, active entrepreneurs from the Big Data and Analytics industry will introduce you to the business challenges raised by this data analytics (r)evolution. But also, how to tackle them through practical case studies.

    This summer school is a unique opportunity to develop or improve your practical data science skills heavily demanded by most industries today. This course will walk you through the latest developments in Artificial Intelligence, Data Science and their impact on the fashion industry.

    We will introduce basics of web scraping, NoSQL databases, Data Mining, Machine Learning and Text Mining.

    All concepts will be developed through guided and practical sessions where you will get familiar with Python, one of the most intuitive, versatile and popular programming languages for Data Scientist, but also one of the most prized by employers.

    • 8 days Lodging on University Campus
    • Campus Tour on Friday 17th
    • Welcome dinner on Friday 17th
    • City Tour of Brussels on Saturday 18th
    • Ice Breaking Night on Saturday 18th
    • City Tour of Bruges on Sunday 19th
    • 5 full-day Courses from August 20th to 24th
    • Farewell Dinner on August 25th
    • Farewell Party on August 25th
    • All Breakfast and Lunch included
    • Welcome Pack
    • Brussels Mobility Card

    Fees: 990 euros

    1. Application

    To apply, send your CV to info.summerschool@solvay.edu. The final application deadline is July 10th 2018.

    2. Selection
    After a thorough selection, all candidates will receive an e-mail to confirm their status. The
    selected student will have 5 days to fill in a special form.

    3. Invoice
    It will be sent to the candidates who will, in return, have 10 working days to pay for the Summer
    School program. Beyond that deadline, their application will be denied.

    *This edition is limited to 40 participants
    * Does not include travel costs from and to Brussels

    4. Finalization
    After receiving the payment, enrolled candidates will receive an official invitation letter from
    the Dean of Solvay Brussels School of Economics and Management.

    Course outline

    This summer school is a unique opportunity to develop or improve your practical data science skills heavily demanded by most industries today. This course will walk you through the latest developments in Artificial Intelligence, Data Science and their impact on the fashion industry.

    We will introduce basics of web scraping, NoSQL databases, Data Mining, Machine Learning and Text Mining.

    All concepts will be developed through guided and practical sessions where you will get familiar with Python, one of the most intuitive, versatile and popular programming languages for Data Scientist, but also one of the most prized by employers.

    • 8 days Lodging on University Campus
    • Campus Tour on Friday 17th
    • Welcome dinner on Friday 17th
    • City Tour of Brussels on Saturday 18th
    • Ice Breaking Night on Saturday 18th
    • City Tour of Bruges on Sunday 19th
    • 5 full-day Courses from August 20th to 24th
    • Farewell Dinner on August 25th
    • Farewell Party on August 25th
    • All Breakfast and Lunch included
    • Welcome Pack
    • Brussels Mobility Card

     

    Fees QTEM students

    990 euros

    Registration

    1. Application To apply, send your CV to info.summerschool@solvay.edu. The final application deadline is July 10th 2018. 2. Selection After a thorough selection, all candidates will receive an e-mail to confirm their status. The selected student will have 5 days to fill in a special form. 3. Invoice It will be sent to the candidates who will, in return, have 10 working days to pay for the Summer School program. Beyond that deadline, their application will be denied. *This edition is limited to 40 participants * Does not include travel costs from and to Brussels 4. Finalization After receiving the payment, enrolled candidates will receive an official invitation letter from the Dean of Solvay Brussels School of Economics and Management.

    Other information

    Application deadline is 10 July 2018

    ECTS equivalent

    0.0000

    Local credits

    5.0000
    Read more
    Deadline for subscription: 10 Jul 2018
    Contact: info.summerschool@solvay.edu

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