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.

You can now book onto our 2020 courses. Please see below for details.

1. Advanced choice modelling course (Autumn)

Advanced choice modelling course

London, United Kingdom, 26-28 October 2020


Please note that this course will proceed in person as scheduled. We have booked an extra-large room to allow for physical distancing.

We also offer the opportunity to sign up to attend the course remotely, despite it physically taking place in London.  Delegates who wish to do so are entitled to a discount, but should note that this will simply be a live streaming of the course in London. Attending the course in person is however strongly recommended in order to benefit from one-on-one support in the tutorials.

In the unlikely event of a further COVID19 lockdown in the UK, the course will be moved fully online, including the tutorials. All delegates who booked to attend in person will in that case obtain a 25% refund of the fee they paid, as well as the possibility to cancel at no cost.

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 (De Vere Grand Connaught Rooms, 61-65 Great Queen St, Holborn, London WC2B 5DA).

Taught by experts from the University of Leeds, the course will consist of a mixture of lectures, computer practicals, and detailed case studies. The practicals will use Apollo, the powerful R package produced by CMC (www.ApolloChoiceModelling.com).

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.

Course instructors

Professor Stephane Hess is the director of CMC and Professor of Choice Modelling at the University of Leeds. He is an expert in developing advanced choice models and analysing choice behaviour, with theoretical and empirical contributions across different fields. He is the author of Apollo (with David Palma) and 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 a particular interest in alternative estimation techniques. He has many methodological contributions and experience in both the fields of transport and environmental economics.

 

Fee structure

In person attendance Online attendance (live streaming)
Before 15 August 2020 After 15 August 2020 Before 15 August 2020 After 15 August 2020
Full registration fee: £1,250 £1,400 £1,050 £1,200
Full time academics: £900 £1,050 £775 £905
Research students: £750 £900 £650 £800
Includes In person teaching and one-to-one support in practicals Live streaming of lectures/practicals, with ability to ask questions at end
Access to software and data for the course, catering at course venue, course dinner Access to software and data for the course
Cancellation options:
If travel to UK prohibited by country of residence full refund none
> 2 months before course 75% refund 75% refund
between 1 and 2 months before course 50% refund 50% refund
< 1 month before course 25% refund 25% refund
Discount if course is moved online 25% refund No further discount
Cancellation option if course is moved online full refund none

A 10% discount is applied to these rates for delegates who attended our introductory winter course in 2019.

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.

 

Venue: De Vere Grand Connaught Rooms, 61-65 Great Queen St, Holborn, London WC2B 5DA

To register please go to https://store.leeds.ac.uk/conferences-and-events/environment/institute-of-transport-studies/1020acmc3-advanced-choice-modelling-course-october-2020

Please book early to avoid disappointment as spaces are limited and the 2019 course sold out quickly.

 

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

A 10% discount is applied to these rates for delegates who attended our introductory winter course. 

 

Host organisation

The Choice Modelling Centre (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 Apollo: MNL and basic Mixed Logit – Advanced Mixed Logit topics: distributions, correlations, estimation, WTP, posterior analysis      – Advanced Mixed Logit topics in Apollo – Alternative decision rules – Hybrid Choice Models (theory & application issues)

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

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

2. Choice Modelling and Survey Design (Winter)

Course in choice modelling and
stated choice survey design

London, United Kingdom, 9-13 November 2020

Please note that this course will proceed in person as scheduled. We have booked an extra-large room to allow for physical distancing.

We also offer the opportunity to sign up to attend the course remotely, despite it physically taking place in London.  Delegates who wish to do so are entitled to a discount, but should note that this will simply be a live streaming of the course in London. Attending the course in person is however strongly recommended in order to benefit from one-on-one support in the tutorials.

In the unlikely event of a further COVID19 lockdown in the UK, the course will be moved fully online, including the tutorials. All delegates who booked to attend in person will in that case obtain a 25% refund of the fee they paid, as well as the possibility to cancel at no cost.

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, and detailed case studies. The practicals will use Apollo, the powerful R package produced by CMC (www.ApolloChoiceModelling.com), and Ngene, the advanced design software produced by ChoiceMetrics (www.choice-metrics.com).

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.

Course instructors

Professor Stephane Hess is the director of CMC and Professor of Choice Modelling at the University of Leeds. He is an expert in developing advanced choice models and analysing choice behaviour, with theoretical and empirical contributions across different fields. He is also the editor-in-chief of the Journal of Choice Modelling, and a joint developer of Apollo.

 

Professor Michiel Bliemer is Professor of Transport Modelling and Forecasting at the University of Sydney Business School. He is an expert in the design of stated choice surveys and has made many methodological contributions in this area. Further he is joint developer of the widely used Ngene software for generating efficient experimental designs.

Fee structure

In person attendance Online attendance (live streaming)
Before 15 Sept 2020 After 15 Sept 2020 Before 15 Sept 2020 After 15 Sept 2020
Full registration fee: £2,100 £2,350 £1,800 £2,050
Full time academics: £1,500 £1,750 £1,250  £1,500
Research students: £1,150 £1,400 £1,000 £1,250
Includes In person teaching and one-to-one support in practicals Live streaming of lectures/practicals, with ability to ask questions at end
Access to software and data for the course, catering at course venue, course dinner Access to software and data for the course
Cancellation options:
If travel to UK prohibited by country of residence full refund none
> 2 months before course 75% refund 75% refund
between 1 and 2 months before course 50% refund 50% refund
< 1 month before course 25% refund 25% refund
Discount if course is moved online 25% refund No further discount
Cancellation option if course is moved online full refund none

 

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.

 

Venue: De Vere Grand Connaught Rooms, 61-65 Great Queen St, Holborn, London WC2B 5DA.

To register please go to https://store.leeds.ac.uk/conferences-and-events/environment/institute-of-transport-studies/1120cmc5-course-in-choice-modelling-and-stated-choice-survey-design-november-2020

Please book early to avoid disappointment as spaces are limited and previous courses sold out quickly.

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

Host organisations

The Choice Modelling Centre (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/Apollo)

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

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/Apollo)

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)