QTEM summer school

QTEM International Summer School of Business Analytics

ZHEJIANG UNIVERSITY, Hangzhou

2 Jul 2017 - 7 Jul 2017

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
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Deadline for subscription: 20 May 2017
QTEM summer school

Crash Course in Experimental Economics

UNIVERSITEIT VAN AMSTERDAM, Amsterdam

17 Jul 2017 - 22 Jul 2017

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.

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Deadline for subscription: 15 Jun 2017
QTEM summer school

 ISU Frankfurt - European Finance

GOETHE-UNIVERSITÄT FRANKFURT AM MAIN, Frankfurt

16 Jul 2017 - 12 Aug 2017

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!

 

 

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Deadline for subscription: 31 May 2017
QTEM summer school

Stata Econometrics Winter School

UNIVERSITY OF PORTO, Porto

23 Jan 2017 - 27 Jun 2017

Portugal

Timberlake (Portugal) and CEF.UP (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 courses will take place at FEP (U. Porto) in January 2017 and will be taught in English.

Target audience:
The course is designed for academic staff and master/PhD students with a basic knowledge of statistics, econometrics, and Stata. Those who are not familiar with Stata should attend the first day of the Winter School. The course is also designed for other professionals with an interest in data analysis from an econometric perspective. Practitioners interested in learning advanced techniques and increasing their knowledge of applied econometric methodologies will greatly benefit from this course.

Course outline:

  • Day 1: Introduction to Stata
  • Day 2: Regression Analysis and Causality
  • Day 3: Panel Data
  • Day 4: Discrete Choice Models
  • Day 5: Count Data Models
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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, Brussels

21 Aug 2017 - 25 Aug 2017

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

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Deadline for subscription: 15 Jul 2017
QTEM summer school

Data Analysis in Business

MONASH BUSINESS SCHOOL, Melbourne

29 Jun 2017 - 14 Jul 2017

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.
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QTEM summer school

Using artificial intelligence to detect trends in the fashion industry

SOLVAY BRUSSELS SCHOOL OF ECONOMICS AND MANAGEMENT, ULB, Brussels

21 Aug 2017 - 27 Aug 2017

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.

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