Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The program will help the applicants to learn in detail about the theoretical foundations that pertain to choice modelling and at the same time describe all the steps that are involved in operational modeling.
The rudimentary focus of this course is on the various methods that are involved in the process of prediction of behaviour using the existing mathematical models and functions. In the Online Certification Programme on Introduction to Discrete Choice Models by edX, the students will be exploring the choices present in modelling in order to retain disaggregate demand models. The exercise that is incorporated in the program has to be solved using the software- “Biogeme”. The studies further will deal with case study modules for creating a stronger and more concrete base. The program will emphasize more on- the `logit model” will look over the specifications of the said model and also estimate its parameters and the process of this validation.
EdX provides two options to join the course, namely, by paying the fee and free of cost. While taking it free of cost, the learners will be given access to the course only for a limited duration.
The Highlights
- Course partnered by EPFL
- Certificate by edX
- 7-week program
- Free registration
- Intermediate level program
- Self paced learning
- 5-6 hours class every week
- Verified certificate
Programme Offerings
- E-education
- assignments
- Multiple choice questions
- Lectures
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 18285 | yes | Swiss Federal Institute of Technology Lausanne |
- The Programme on Introduction to Discrete Choice Models certification fee is having registration free of cost.
- The applicants are mandated to deposit Introduction to Discrete Choice Models fees of ₹ 18,285 if they want to access the certificate along with edX support, graded assignments, and unlimited course material access.
- Again, for the students who want limited access, without any shareable certification then it's free for them.
Introduction to Discrete Choice Models fees details
Particulars | Amount in INR |
Course fee, Verified Track | ₹18,285 |
Audit Mode | Free |
Eligibility Criteria
Education
To apply for the certification course the applicants need to have bachelor-level knowledge in the subject of statistics and linear regression.
Certification Qualification Details
It is mandatory that all the participants have updated their course by depositing the extra amount for pursuing the certificate in the Introduction to Discrete Choice Models training.
What you will learn
The students will be learning the following in the Introduction to Discrete Choice Models Programme -
- Candidates will be introduced to the chapter on “behavior modeling” so that they can venture deep into problem-solving.
- Students will be exploring more about the topic of “theoretical functions” for solving complex mathematical problems.
- He/she will be working on the “binary choice” for understanding the concept of the various models.
- The participants will also be working on “testing” in the program to understand the procedure of solution generation.
- Students will study about “forecasting” in the Introduction to Discrete Choice Models certification course.
- He/she will be dealing with biogeme, so that they can understand about open-source software models.
- The students will be estimating the various models on the basis of parameters of- “choice data” under Introduction to Discrete Choice Models certification syllabus
- The method of testing applications will be taught to the candidates for making them solve complex algorithms.
- They will further deal with disaggregate choice models in order to understand the behavioral assumptions.
- The candidates will be taught about the art of model specification in the Introduction to Discrete Choice Models online course.
Who it is for
The Introduction to Discrete Choice Models Programme is for the following applicants who want to -
- Participants who have previous knowledge in linear regression and want to venture deep into the world of discrete model programming can pursue the course, and become a computer programmer.
- Students who are looking for a professional foot in the sector of “engineering” can apply for the programme very easily.
Admission Details
The students have to be following the given steps for getting enrolled in the Course Introduction to Discrete Choice Models Training-
Step 1: Plae begin your journey of application by visiting the said site-
https://www.edx.org/course/introduction-to-discrete-choice-models
Step 2: Now the registering candidates have to procure their “Full Name” as per their official certificate.
Step 3: In this particular step the students have to provide a “username” so that their account gets generated.
Step 4: The students have to mandatorily give the details of their “email” in this step of the form application.
Step 6: The candidates have to give acknowledgment to the given programme clauses and teams before final submission.
Step 7: Please upgrade your course by depositing the amount and then proceed further by clicking the “Submit Now”.
The Syllabus
- Welcome
- What this course is about
- Practical information
- Acknowledgments
- Week description
- 1.1 Motivation
- 1.2 Simple example
- Summary
- Week 1: Graded assessment (certificate track)
- Week 1: assessment (audit track)
- Week description
- 2.1 Ingredients of choice theory
- 2.2 Microeconomic consumer theory
- 2.3 Example
- 2.4 Random utility theory
- Summary
- Week 2: Graded assessment I (certificate track)
- Week 2: assessment I (audit track)
- Week 2: Graded assessment - II (certificate track)
- Week 2: assessment - II (audit track)
- Week description
- 3.1 Model specification: the error term
- 3.2 Apply the model to data
- 3.3 Maximum likelihood estimation
- Summary
- Week 3: Graded assessment (certificate track)
- Week 3: assessment (audit track)
- Week description
- 4.1 Introduction to Biogeme
- 4.2 Using Biogeme
- Summary
- Week 4: Graded assessment (certificate track)
- Week 4: assessment (audit track)
- Week description
- 5.1 Derivation of the logit model
- 5.2 Specification of the deterministic part
- 5.3 An example: mode choice in Switzerland
- 5.4 Maximum likelihood estimation
- Summary
- Week 5: Graded assessment (certificate track)
- Week 5: assessment (audit track)
- Week description
- 6.1 Specification testing
- 6.2 Informal tests
- 6.3 t-tests
- 6.4 Likelihood ratio test
- 6.5 Non-nested hypotheses
- 6.6 Prediction tests
- Summary
- Week 6: Graded assessment (certificate track)
- Week 6: assessment (audit track)
- Additional material
- Week description
- 7.1 Aggregation
- 7.2 Forecasting and confidence intervals
- 7.3 Indicators
- 7.4 Revenue maximization
- Summary
- Week 7: Graded assessment (certificate track)
- Week 7: assessment (audit track)
- Farewell
- Additional material