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
Stochastic motion is the motion of particles like that of ink in water. As opposed to the movement of celestial objects which can be calculated, this motion cannot be predicted. The Stochastic Processes: Data Analysis and Computer Simulation certification course aim to introduce candidates to stochastic processes and how to conduct data analysis on them.
Students will first learn the fundamental theories governing stochastic processes in the training programme. Then, using Jupyter (iPython) notebook, they will learn how to do numerical simulations and perform them. They will analyse the simulation data as well. The six-week-long Stochastic Processes online course in Physics is made for students interested in thermal motion and particle motion.
Faculty from the reputed Kyoto university in Japan teaches this course on Stochastic Processes: Data Analysis and Computer Simulation training by edX. Throughout this course, candidates will acquire knowledge of stochastic processes and programming. This online programme is completely free of cost. edX also offers a verified certificate upon course completion.
The Highlights
- Course by Kyoto University
- Expert faculty
- Online course
- Verified and shareable certificate
- Self-paced course
- English transcripts available
- Free enrolment for all
- Six-week duration
Programme Offerings
- Free entry
- Online Course
- Certificate by edX and Kyoto University
- Shareable Certificate
- Special enrollment options for teams
- Intermediate-level of learning
- English video transcripts
- Two to three hours of study per week
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 3867 | yes | Kyoto University, Kyoto |
The Stochastic Processes: Data Analysis and Computer Simulation certification fee are entirely waived off, as edX is a non-profit organisation. But to get the verified certificate, candidates have to pay a specific amount, and its details are mentioned below.
Stochastic Processes: Data Analysis and Computer Simulation course fee structure
Course Title | Fee in INR |
Stochastic Processes: Data Analysis and Computer Simulation Course | Free |
Stochastic Processes: Data Analysis and Computer Simulation - Certification Fee | Rs. 3,688 |
Eligibility Criteria
Candidates who wish to enrol for the Stochastic Processes programme by edX must have knowledge of linear algebra and differential and integral calculus at a second-year undergraduate level.
What you will learn
Candidates will have in-depth knowledge of the following after completion of the Stochastic Processes: Data Analysis and Computer Simulation certification syllabus:
- Fundamental theories and concepts of stochastic processes
- Basics of programming with Python
- Simulation methods of a Brownian particle
- Applications and analysis of financial data
Who it is for
Those who want to know as data analysts so that they can simulate and analyze stochastic processes, then they may opt for admission.
Admission Details
- To take admission in the Stochastic Processes: Data Analysis and Computer Simulation classes, head to the official edX website by following the below-given link: https://www.edx.org/course/stochastic-processes-data-analysis-and-computer-si.
- You will see the options to “Enrol Now,” “Sign in,” and “Register”. Click on any one option.
- This will open the registration page, where you have to create an edX account or link your accounts on Google, Apple, Microsoft, or Facebook to edX.
- After registration, your account set-up will be complete, and you can join the course.
Application Details
The Stochastic Processes course by edX does not have any registration or application form. All you have to do to enroll in the course is create an edX account or log in to your existing account.
The Syllabus
- Making graphs with matplotlib
- Simulating a damped harmonic oscillator
- Using Python, iPython, and Jupyter notebook
- The Euler method for numerical integration
- Generating random numbers with Gaussian/Binomial/Poisson distributions
- Random walk
- Stochastic variable and distribution functions
- The central limiting theorem
- Brownian motion and the Langevin equation
- Basic knowledge of Stochastic process
- The linear response theory and the Green-Kubo formula
- Simple Python code to simulate Brownian motion
- Random force in the Langevin equation
- Simulations with on-the-fly animation
- Interacting Brownian particles
- Mean square displacement and diffusion constant
- Distribution and time correlation
- A Stochastic Dealer Model I
- A Stochastic Dealer Model III
- Time variations and distributions of real-world processes
- A Stochastic Dealer Model II
Instructors
Kyoto University, Kyoto Frequently Asked Questions (FAQ's)
Candidates must have undergraduate-level knowledge of linear algebra, differential calculus, and integral calculus to enroll in this course.
Candidates will have to dedicate six weeks for the Stochastic Processes online training.
The course is available for free, and everyone can enrol for it without the need for financial aid.
edX offers courses for the training of employees. To learn more about group enrolment, visit this link: https://business.edx.org/?lead_source=edX+Course+Page&utm_campaign=B2B+Container&utm_source=Referral.
The University of Kyoto in Japan has created the Stochastic Processes: Data Analysis and Computer Simulation course.