Introduction to Uncertainty Analysis and Experimentation
Get to know more about the experimentation and analysis approaches in uncertainty with Introduction to Uncertainty Analysis and Experimentation by Swayam.
Online
8 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Introduction to Uncertainty Analysis and Experimentation certification course will begin with fundamental subjects on the study of complexity and its applications and offer an outline of exploration. This course would learn from professional engineers, scholars, and engineering students at UG, PG, and Ph.D., from many disciplines. The course is divided into different segments as per the week's scheduled curriculum that will intellectually focus on every particular module and sub-chapter in a more comprehensive manner.
The Introduction to Uncertainty Analysis and Experimentation training will be given more importance to promote analytical learning in the course. The subjects include the method of experimentation, measurement errors, measurement and outcome uncertainty, the transmission of uncertainty, pre-and post-test uncertainty analysis, set-up configuration uncertainty analysis, and regression and correlation. The approach would adopt the "performance test code" of ASME and the ISO "Guide to the expression of measurement uncertainty." The Introduction to Uncertainty Analysis and Experimentation certification will provide a brief structure of the field and each core segment that is essentially included in the particular major. A selection of practical applications and the use of national and international principles relating to engineering and research and their importance to education will be addressed in the programme.
The Highlights
- Elective online course
- 8-weeks of comprehensive training
- Course syllabus by IIT Delhi
- An undergraduate or postgraduate level programme
- Supported by industrial hand
Programme Offerings
- Structural learning
- Reading Material
- assessments
- Examination
- Certification
- Lectures.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Delhi |
- There is no Introduction to Uncertainty Analysis and Experimentation certification fees associated with the application process for the course but if a candidate wants to attain the certification then they have to register for that along with the payment of the fee of Rs. 1,000.
Introduction to Uncertainty Analysis and Experimentation fees details -
Fee category | Amount |
Programme fee | Free |
Certification fee | Rs. 1,000 |
Eligibility Criteria
Education
The candidate applying for Introduction to Uncertainty Analysis and Experimentation certification course must have undergraduate level understanding of engineering and science.
Certification qualifying details
The candidate should attain 25% as an average score in best of six assessments out of total eight in internal evaluation plus must attain 75% as an average score in certification final examination in the end; both the scores should add up to 100% score as of student’s evaluation for attaining Introduction to Uncertainty Analysis and Experimentation certification.
What you will learn
By the end of the completion of the Introduction to Uncertainty Analysis and Experimentation certification syllabus by IIT Delhi, the candidate will learn the following approaches:
- Different segments and variations will be included in the model of uncertainty.
- Major methodologies must be taught to the students with the help of analytical approaches.
- The main focus of the Introduction to Uncertainty Analysis and Experimentation certification syllabus will be on eliminating the errors that cause problems in the procedure.
- Two different segments of uncertainty in different fields will be discussed throughout the course.
- Candidates will learn how to eliminate uncertainty in the measurement field.
- More comprehensive learning will be provided to understand the uncertainty in the result and what were the causes of it.
- Data analysis will be addressed in the last of the curriculum that will give a more clear understanding of all the modules.
- Comprehensive and analytical approaches will be provided to every particular model of the curriculum.
Who it is for
Following candidates can apply for the programme:
- The course can be implemented by engineering students at UG, PG, and Ph.D. levels, professional engineers, engineering faculty or business practitioners, and R&D laboratories.
Admission Details
The process to apply into Introduction to Uncertainty Analysis and Experimentation classes -
Step 1: Have a complete look at the course on the particular link https://onlinecourses.nptel.ac.in/noc25_me45/preview
Step 2: Get to the step of registering the candidate’s profile with Swayam platform.
Step 3: Log in with candidate’s profile to register for the Introduction to Uncertainty Analysis and Experimentation programme.
Step 4: Now join the course, tap on “join”.
Step 5: The candidate is registered for the particular course.
The Syllabus
Introduction
- Outline of the course; course objectives; learning outcomes; course plan
- Expressing a result as a mean (nominal) value and its uncertainty at a specified confidence level
- Developments in uncertainty analysis, ASME PTC 19.1 and ISO JCGM-100 GUM
- Importance of uncertainty analysis in research, industry, legal metrology, education
- The approach to uncertainty analysis
Uncertainty, error
- The result relation, measured parameters
- Error distribution, statistical basis, standard uncertainty, definition of uncertainty and its variants
- Classification of errors as per ASME PTC 19.1 and ISO GUM; Correlated/Uncorrelated errors
Experimentation
- Processes from need for data (for decision making) to obtaining the data
- Options for conducting an experiment
- Stages / Phases of experimentation, test execution, pre-test and post-test activities
- Relevance of uncertainty analysis in the experimentation processes
Uncertainty in a measurement - I (fundamentals)
- Measured parameters (measurands) and raw data. Calculated parameters (result)Sources of errors in a measurement – elemental sources of error; classification as random/systematic or Type A/Type B
- Calculating/estimating elemental sources of errors in a measurement
- Calculating combined standard uncertainty and expanded uncertainty in a measurement
Uncertainty in a measurement - II (special cases)
- Systematic uncertainty in a measurement: Instrument specification, Data from handbook,Tolerance limits, Absolute limits, Asymmetric bounds
- Systematic uncertainty in a measurement: Physical basis of phenomenon, e.g. zero error,calibration, time lag, spatial lag, radiation effects in temperature measurement, long-term effects (stresses in strain gauges, etc.)
- Errors in electronics and digitization – Amplification, filtering, analog-to-digital conversion
Uncertainty in a result - I (fundamentals)
- The result formula, Taylor Series Method (TSM). Expansion of results formula. 1st order with un-correlated errors. Sum of squares relation
- Sensitivity coefficient. Relative uncertainty coefficient. Uncertainty Multiplication Factors(UMF)
- Uncertainty in the result. Contribution from different measurements, dominant uncertainty. Uncertainty Percentage Contribution (UPC)
Uncertainty in a result - II (special cases)
- Techniques for evaluating sensitivity coefficient, Single variate property, double variate property
- Contribution by measurement uncertainties to result uncertainty, Pareto chart
- Application to pre-test uncertainty analysis
Data analysis and reporting
- Round-off in reporting mean (nominal) values and uncertainty
- Round-off in reporting mean (nominal) values and uncertainty in measurements and in result
- Data comparison. Introduction to correlations – techniques, goodness
- Depicting uncertainty on plots, e.g. uncertainty bands/bars. Whisker plots
- Course summary. Recommendations for further study
Evaluation process
The candidate had to submit the best of six assessments within the time scheduled and had to appear for the end term paper to attain the certification for the completion of the programme.
Instructors
IIT Delhi Frequently Asked Questions (FAQ's)
In the better of six evaluations out of a total of eight in internal review, the candidate should achieve 25 percent as an average score plus must ultimately achieve 75 percent as an average score in the credential final examination; all scores should add up to 100 percent score as of the student's certification assessment.
The course can be completed within eight weeks of the programme.
All the modules will be entirely based on understanding the uncertainty analysis, that’s the only core segment for this syllabus.
Engineering students at UG, PG and PhD levels, engineering faculty or business professionals, and R&D labs will carry out the course.
The candidate can take the complete course and access all the materials associated with this particular course on Swayam platform itself.
No work experience prerequisite is determined for this particular programme.
The applicant applying for a course must have a knowledge of engineering and technology at the undergraduate level.
The programme will provide a comprehensive learning, reading material, recorded lectures, certification, various assessment to complete the course.
There are no costs involved with the course registration process, but if an applicant wishes to receive the credential, they must apply for it along with the Rs. 1000 fee charge.
The Introduction to Uncertainty Analysis and Experimentation programme will be taught by Prof. S. R. Kale.