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 MATLAB-Based Programming Lab In Chemical Engineering certification course is a 12-week computer lab experience for undergraduate chemical engineering students, emphasizing practical problem-solving using MATLAB. It aims to enhance programming skills and teach students how to che problems, implement solutions, and effectively present results.
Targeting 3rd/4th-year undergraduates and faculty, the MATLAB-Based Programming Lab In Chemical Engineering certification by Swayam requires a background in fluid mechanics, reaction engineering, heat transfer, and mass transfer. It is considered a fundamental part of the curriculum, providing 3 credit points upon completion.
Also Read: Online Chemical Engineering Certification Courses
The Highlights
- Core Online Course
- 12 Weeks Duration
- Offered by IIT Kharagpur
Programme Offerings
- Certificate of completion
- Practical Learning
- Hands-on Experience
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Kharagpur |
The MATLAB Based Programming Lab in Chemical Engineering certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centers, which is optional and comes with a fee of Rs 1000.
MATLAB-Based Programming Lab in Chemical Engineering Certification Fee Structure
Particulars | Total Fees |
MATLAB-Based Programming Lab in Chemical Engineering (exam) | Rs 1000/- |
Eligibility Criteria
Academic Qualifications
The MATLAB-Based Programming Lab In Chemical Engineering certification course is intended for chemical engineering undergraduates in their 3rd or 4th year, as well as university faculty, who have taken courses in fluid mechanics, reaction engineering, heat transfer, and mass transfer.
Certification Qualifying Details
To receive the MATLAB-Based Programming Lab In Chemical Engineering certification by Swayam, you need a minimum average assignment score of 10/25 and an exam score of 30/75.
Who it is for
The MATLAB-Based Programming Lab In Chemical Engineering online course is suitable for individuals interested in incorporating computational tools like MATLAB into their teaching or research endeavors. This course is particularly beneficial for:
Admission Details
Follow these steps to join the MATLAB-Based Programming Lab In Chemical Engineering classes:
Step 1: Browse the URL below:
https://onlinecourses.nptel.ac.in/noc23_ch63/preview
Step 2: Click on the “Sign-in/ Register” button
Step 3: Fill out the necessary details and submit the form
The Syllabus
- Lecture 1: Motivation for the lab course
- Lecture 2: Analysis of situations in process industries which mandate the use of computers
- Lecture 3: Analysis of situations in process industries which mandate the use of computers continued
- Lecture 4: Discussion on computational tools available to chemical engineers
- Lecture 5: Analysis and comparison of different programming languages for solving chemical engineering problems
- Lecture 6: MATLAB primer – basic features
- Lecture 7: MATLAB primer – Writing codes
- Lecture 8: MATLAB primer – coding continued
- Lecture 9: MATLAB primer – coding continued
- Lecture 10: MATLAB primer – Plotting and presentation of results
- Lecture 11: Lab 1 – Analysis of frictional losses in pipe flows; problem definition and analysis
- Lecture 12: Lab 1 – Theory and solution strategy
- Lecture 13: Lab 1 – Solution of the problem under various conditions
- Lecture 14: Lab 1 – Solution of the problem under various conditions continued
- Lecture 15: Lab 1 – Presentation and interpretation of results
- Lecture 16: Lab 2 – Steady-state analysis of diabatic operation of a CSTR; problem definition and analysis
- Lecture 17: Lab 2 – Theory and solution strategy
- Lecture 18: Lab 2 – Solution of the problem under various conditions
- Lecture 19: Lab 2– Solution of the problem under various conditions continued
- Lecture 20: Lab 2 – Presentation and interpretation of results
- Lecture 21: Lab 3 – Analysis of multicomponent distillation; problem definition and analysis
- Lecture 22: Lab 3 – Theory and solution strategy
- Lecture 23: Lab 3 – Solution of the problem under various conditions
- Lecture 24: Lab 3 – Solution of the problem under various conditions continued
- Lecture 25: Lab 3 – Presentation and interpretation of results
- Lecture 26: Lab 4 – Analysis of cooling of a solid body in a reservoir; problem definition and analysis
- Lecture 27: Lab 4 – Theory and solution strategy
- Lecture 28: Lab 4 – Solution of the problem under various conditions
- Lecture 29: Lab 4 – Solution of the problem under various conditions continued
- Lecture 30: Lab 4 – Presentation and interpretation of results
- Lecture 31: Lab 5 – Analysis of unsteady-state operation of a cascade CSTR system; problem definition and analysis
- Lecture 32: Lab 5 – Theory and solution strategy
- Lecture 33: Lab 5 – Solution of the problem under various conditions
- Lecture 34: Lab 5 – Solution of the problem under various conditions continued
- Lecture 35: Lab 5 – Presentation and interpretation of results
- Lecture 36: Lab 6 – Analysis of steady-state heat conduction in a one dimensional rod; problem definition and analysis
- Lecture 37: Lab 6 – Theory and solution strategy
- Lecture 38: Lab 6 – Solution of the problem under various conditions
- Lecture 39: Lab 6 – Solution of the problem under various conditions continued
- Lecture 40: Lab 6 – Presentation and interpretation of results
- Lecture 41: Lab 7 –Analysis of reaction-diffusion in a catalyst pore; problem definition and analysis
- Lecture 42: Lab 7 – Theory and solution strategy
- Lecture 43: Lab 7 – Solution of the problem under various conditions
- Lecture 44: Lab 7 – Solution of the problem under various conditions continued
- Lecture 45: Lab 7 – Presentation and interpretation of results
- Lecture 46: Lab 8 – Analysis of steady-state heat conduction problem in two and three-dimensions; problem definition and analysis
- Lecture 47: Lab 8 – Theory and solution strategy
- Lecture 48: Lab 8 – Solution of the problem under various conditions
- Lecture 49: Lab 8 – Solution of the problem under various conditions continued
- Lecture 50: Lab 8 – Presentation and interpretation of results
- Lecture 51: Lab 11 - Process economics and optimization; problem definition and analysis
- Lecture 52: Lab 9 – Theory and solution strategy
- Lecture 53: Lab 9 – Solution of the problem under various conditions
- Lecture 54: Lab 9 – Solution of the problem under various conditions continued
- Lecture 55: Lab 9 – Presentation and interpretation of results
- Lecture 56: Lab 12 - Regression and curve-fitting of data; problem definition and analysis
- Lecture 57: Lab 10 – Theory and solution strategy
- Lecture 58: Lab 10 – Solution of the problem under various conditions
- Lecture 59: Lab 10 – Solution of the problem under various conditions continued
- Lecture 60: Review of the course
Evaluation process
The MATLAB-Based Programming Lab In Chemical Engineering certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).
IIT Kharagpur Frequently Asked Questions (FAQ's)
The course primarily focuses on utilizing MATLAB for solving chemical engineering problems encountered in both undergraduate studies and real-world process industries.
The course is designed for undergraduate students majoring in chemical engineering. It is also suitable for university or college faculty members interested in incorporating MATLAB.
Participants are ideally expected to be in their 3rd or 4th year of undergraduate studies with prior courses in fluid mechanics, reaction engineering, heat transfer, and mass transfer.
Upon completion, participants will have honed their MATLAB programming skills and developed broader competencies in problem analysis, solution implementation, and results presentation.
The course is assessed through practical exercises and projects, allowing participants to apply their skills. It spans 12 weeks, providing a comprehensive and immersive experience in MATLAB-based problem-solving.