Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
Developed by IIT Bombay, the Introduction to Stochastic Processes by Swayam is an AICTE-approved Faculty Development Programme. Students will gain the necessary skills to design models and assess the effects of any event. Based on Management studies, this elective course is open for students from all disciplines.
The Introduction to Stochastic Processes certification syllabus is spread across 12 weeks. During this, students will learn Poisson processes, Continuous and Discrete Markov Chains, variance, random variables, probability, and Bayes rule. Moreover, it is provided at a postgraduate level. Book references and video lectures are also provided to help students learn effectively.
Candidates can earn the Introduction to Stochastic Processes certification by paying a nominal certification fee and appearing for the end-term certification exam conducted by Swayam. Additionally, they must complete all the 12 assignments given throughout the course duration.
Moreover, several companies across sectors use Stochastic Processes in their operations. As such, they readily employ individuals certified through the Introduction to Stochastic Processes program.
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 1000 | yes | IIT Bombay |
The Introduction to Stochastic Processes certification course is free for students to audit. But if they wish to receive the certificate, they must pay the Rs 1000 and appear for the proctored final test.
Introduction to Stochastic Processes fee structure
Course Options | Fee |
Audit learning | Free |
Verified learning | Rs 1,000 |
Candidates interested in the Introduction to Stochastic Processes program must know basic real analysis techniques.
Moreover, candidates must obtain an average assignment score >/= 10/25 and proctored test score >/= 30/75 to earn the e-certificate. Swayam uses candidates' 8 assignments with the best scores to calculate the average assignment marks.
Students of the Introduction to Stochastic Processes training will become well-versed in:
The Introduction to Stochastic Processes training is open for all students interested in studying stochastic processes, irrespective of their discipline.
Step 1. View the Introduction to Stochastic Processes online course webpage using the link: Introduction to Stochastic Processes - Course (nptel.ac.in).
Step 2. Use the ‘Sign-in/ Register’ option to apply for the course.
Step 3. Link your Microsoft/Google/Facebook account to log in with SWAYAM. You can also log in using your existing SWAYAM learning account or create a new account.
Step 4. You will receive an authentication code to your registered email ID in case of new registration. After that, you can commence the program.
The Introduction to Stochastic Processes course by Swayam only necessitates candidates to register or log in to start the course. Students need to register using their email address, create a username and password of their choice.
To secure the Introduction to Stochastic Processes certification, candidates must successfully complete the course, submit all 12 assignments, and appear for the final proctored test. Registration for the examination is done through online forms available on the website at select times. Students will be allotted centers and timings. They must appear for the exams in-person at the said time.
In calculating the final score, 75% of the proctored test scores will be considered.
The e-verifiable certificate will contain the candidate’s name, picture, final scores in the assignments and exam, along with NPTEL’s and IIT Bombay’s logos.
Students must know basic real analysis techniques before starting the Introduction to Stochastic Processes online course.
No, the course can be studied from home by accessing the video lectures online.
Students need to stay updated with the course’s webpage to know more about the examination schedules, registration, and centers.
Candidates can opt either for a morning slot of 9 AM-12 PM or an afternoon slot of 2 PM-5 PM.