Leeds University
CMC

CPD

We run two annual courses for fee paying delegates in London, a winter course on choice modelling and stated choice design and a summer course on advanced choice modelling. Both courses use R for model coding and estimation. Full details of this are given below. In addition, we offer tailor made courses on choice modelling and/or stated preference design. We are flexible in terms of timing and deliver these courses worldwide. Recent examples include a course on stated preference design run at the National Cheng Kung University, Taiwan and a course on choice modelling run in Singapore. For more details, please contact us.

1. Advanced Choice Modelling course (Summer)

Advanced choice modelling course

London, United Kingdom, 3-5 July 2017


This three day course, run by the Choice Modelling Centre (CMC) at the University of Leeds, will provide delegates with in-depth insights into the estimation of advanced choice models. The course is a continuation of our annual winter course on ‘Choice modelling and stated choice survey design’ and assumes participants have the ability to estimate basic choice models, including the mixed logit model. The course will take place in central London.

Taught by experts from the University of Leeds, the course will consist of a mixture of lectures, computer practicals (using R), and detailed case studies. Bringing together expertise from fields as diverse as transport, health, marketing and environmental economics, the course will cover all the steps required for successful estimation of flexible Mixed Logit and hybrid choice models, the implementation and interpretation of the Expectations Maximisation algorithm and Bayesian estimation procedures, and an introduction to models of multiple and continuous choice.

 

After taking this course, participants will be able to estimate and contrast state-of-the-art models, understand the properties and recognise limitations of maximum likelihood estimation and use alternative estimation techniques best suited for their particular research question and dataset. By conducting hands-on exercises with open source software, participants will become familiar with the theories and models, which adds greatly to the learning experience.

 

Delegates are expected to bring their own laptops. We will have a limited number of laptops available for rental for the duration of the course. Delegates need to book these when registering for the course.

 

Please book early to avoid disappointment as spaces are limited and the 2016 course sold out quickly.

 

To register please go to http://store.leeds.ac.uk/conferences-and-events/environment/institute-of-transport-studies/advanced-choice-modelling-course-july-2017

 

Venue: De Vere West One, 9-10 Portland Pl, London W1B 1PR

 

Course instructors

Stephane Hess

Professor Stephane Hess is the director of CMC, Professor of Choice Modelling at ITS, and Honorary Professor at ITLS. He is an expert in advanced choice models, with theoretical and empirical contributions across different fields. He is also the editor-in-chief of the Journal of Choice Modelling.

Dr Thijs Dekker is Lecturer in Transport Economics at the Institute for Transport Studies at the University of Leeds. He is an expert in analysing advanced discrete choice models with methodological contributions and experience in both the fields of transport and environmental economics.

Fee structure

 

 

Before 1 May 2017

After 1 May 2017

Full registration fee:

£1050

£1,200

Full time academics:

£750

£900

Research students:

£600

£750

 

 

Fees include three lunches, one evening dinner and access to software and data for the course.

 

 

Host organisation

The Centre for Choice Modelling (CMC) at the University of Leeds is a large multi-disciplinary centre bringing together expertise in choice modelling and the study of human decision making from across different fields.

 

Outline programme for the course

 

Day 1:    Introduction to estimation in R: MNL and basic Mixed Logit - Advanced Mixed Logit topics: distributions, correlations, estimation, WTP, posterior analysis            - Advanced Mixed Logit topics in R – Alternative decision rules - Hybrid Choice Models (theory & application issues)   

Day 2:     Estimation of Hybrid Choice Models in R - Local optima, alternative estimation routines, advanced diagnostics, error calculations - Advanced estimation routines and diagnostics in R

Day 3:     Bayesian Estimation - Bayesian estimation in R – Moving beyond discrete choice – MDCEV in R

2. Choice Modelling and Survey Design (Winter)

Course in choice modelling

and stated choice survey design

London, United Kingdom, 13-17 November 2017

 

This one week course, run by the Choice Modelling Centre (CMC) at the University of Leeds, will provide delegates with an in-depth introduction to basic and advanced choice modelling and stated choice survey design. The course will take place in central London.

 

Taught by experts from the University of Leeds and the University of Sydney Business School, the course will consist of a mixture of lectures, computer practicals (using R and Ngene), and detailed case studies. Bringing together expertise from fields as diverse as transport, health, marketing and environmental economics, the course will cover all the steps required for successful choice modelling analyses, from inception via survey design and data collection to modelling, analysis, interpretation and implementation.

 

After taking this course, the participant will be able to design a stated choice survey, analyse stated or revealed choice data by estimating widely used discrete choice models, and interpret behavioural results. By letting participants do hands-on exercises with popular software, they will become familiar with the theories and models, which adds greatly to the learning experience. This makes the course suitable for practitioners who would like to get a good introduction and are interested in applications, as well as experienced academics who are interested in learning more advanced methods in design and analysis.

 

Delegates are expected to bring their own laptops (running Windows). We will have a limited number of laptops available for rental for the duration of the course. Delegates need to book these when registering for the course.

Please book early to avoid disappointment as spaces are limited and the 2016 course sold out quickly. 

To register please go to http://store.leeds.ac.uk/conferences-and-events/environment/institute-of-transport-studies/course-in-choice-modelling-and-stated-choice-survey-design-november-2017

 

 

 

Venue: De Vere West One, 9-10 Portland Pl, London W1B 1PR

 

Course instructors

Stephane Hess

Professor Stephane Hess is the director of CMC, Professor of Choice Modelling at ITS, and Honorary Professor at ITLS. He is an expert in advanced choice models, with theoretical and empirical contributions across different fields. He is also the editor-in-chief of the Journal of Choice Modelling.

Michiel Bleimer

Professor Michiel Bliemer is Professor in Transport and Logistics Network Modelling at ITLS. He is an expert in the design of stated choice surveys and has made several methodological contributions in this area. Further he is joint developer of the widely used Ngene software.

Fee structure

 

 

Before 1 Sept 2017

After 1 Sept 2017

Full registration fee:

£1,750

£2,000

Full time academics:

£1,250

£1,500

Research students:

£950

£1,250

 

 

Fees include five lunches, one evening dinner and access to software and data for the course.

 

 

Host organisations

The Centre for Choice Modelling (CMC) at the University of Leeds is a large multi-disciplinary centre bringing together expertise in choice modelling and the study of human decision making from across different fields. The course is co-hosted by the Institute for Transport Studies in the Faculty of Environment at the University of Leeds and the Institute of Transport and Logistics Studies in the University of Sydney Business School. Both have global reputations for state-of-the-art research in choice modelling, discrete choice analysis and experimental design.

 

Outline programme for the course

 

Day 1:   Introduction to choice modelling and data requirement; Multinomial Logit estimation; Specification testing; Analysis and interpretation of results; Computer exercises with estimation software (R)

 

Day 2: Models with flexible error structures: Nested Logit; Mixed Logit; Latent Class; Computer exercises with estimation software (R)

 

Day 3: Alternatives to Random Utility models including Random Regret; Hybrid choice models; Emerging data sources for choice modelling; Computer exercises with estimation software (R)

 

Day 4:  Introduction to stated choice surveys and experimental design; Full and fractional factorial designs; Orthogonal designs and their drawbacks; Survey formatting; Computer exercises with experimental design software (Ngene)

 

Day 5: Efficient experimental designs; Bayesian efficient designs; Advanced designs; Computer exercises with experimental design software (Ngene)