nptel assignment solution mechanical engineering

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NPTEL Lectures: Mechanical Engineering - Engineering Fracture Mechanics

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SIMILAR ITEMS (based on metadata)

Mechanical Engineering

Engineering Mechanics

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

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Course layout, books and references.

• Mechanical Sciences, G.K. Lal, Vijay Gupta, N.G.R. Iyengar, B.N. Banerjee and K. Ramesh, Narosa Publishing House, 1998.ISBN: 81-7319-213-8
• An Introduction to the Mechanics of Solids, Crandall, Dahl and Lardner, Mc Graw-Hill, New York, 1978 ISBN:0-07-Y66230-4
• Dynamics, Meriam and Kraige, John Wiley and Sons, New York, ISBN:0-471-60208-6
• Statics and Dynamics, Beer and Johnson

Instructor bio

Prof. K. Ramesh

Course certificate.

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19 Best NPTEL Courses For Mechanical Engineering in 2023

NPTEL, The National Program On Technology Enhances Learning, was established in 2003. NPTEL was initiated by the top seven Indian institutes of technology including the institute of science, Bangalore, and there are various best NPTEL courses for mechanical engineering.

In the NPTEL phase one, around 235 courses were added. Additionally, in phase two, 600 courses are built for all major engineering branches including mechanical engineering. Out of these many courses, we have sorted down the 19 best NPTEL courses for mechanical engineering divided into their sub-streams.

NPTEL is the largest online repository in the world for courses. All these courses are available in video format and web format. It includes undergraduate and postgraduate courses to help learners learn in their space with downloadable resources.

With these 19 best NPTEL courses, you will be surely benefited to the core.

Subjectwise Best NPTEL Courses for Mechanical Engineering

NPTEL courses are categorized based on various engineering branches. Out of all the branches, here you will find courses for the mechanical engineering department subcategory-wise.

Mechanical engineering is a department of engineering that includes the design, analysis, production, and operation of machinery. It has 4 core sub-streams under its department, which are included in the bachelor’s degree program. On learning all the subjects thoroughly, one’s bachelor’s degree program is considered complete.

Below all the courses are categorized sub streamwise so you don’t have to struggle to look for them on the internet.

1. Design of Machine Elements

Machine design is the first step to creating a machine. It includes:

• Engineering Mechanics
• Strength of Materials
• Theory of Machines
• Mechanical Vibrations
• Finite Element Analysis
• Machine Design

1. Engineering Mechanics Course

Professor: Engineering Mechanics Course By NPTEL is instructed by Prof. U.S. Dixit, Institute IIT Guwahati .

Course Outlook: The course has 40 lessons under 12 modules. Each module has a number of lessons based on its module topic. The whole course includes theory, quizzes, problems and methods to it. From basic statistics to introduction to vibration all the modules are informatively curated.

Link for The Course

2. Strength of Materials

Professor: Strength of materials Course is Instructed by Dr Satish C Sharma, Institute of IIT Roorkee

Course Outlook: Strength of Materials is a single module with 40 lectures. Each lecture is constructed with examples, diagrams and solutions. Its theoretical explanation and lectures based on analysis give more strength to the web teaching-learning program.

3. Mechanical Vibrations

Professor: Mechanical Vibration Course is instructed by Prof. Anil Kumar, Institute IIT Roorkee.

Course Outlook: Mechanical Vibration is a video course. It has 8 units. Each unit contains 5 lessons. These videos are also added to YouTube. So, when you go to the course, you will be redirected to the YouTube video for each lesson.

The course includes an in-depth study from introduction to numerical problems, and analysis, of static and dynamic coupling.

4. Finite Element Analysis

Professor: Advanced Finite Element Analysis course is taught by Dr R. Krishnakumar, IIT Madras.

Course Outlook: Finite element analysis has 30 lectures. Again, it is a video course and among the best NPTEL courses for mechanical engineering. The course includes assignments for learners to have a better learning experience.

You can head over to the course and go through it.

5. Machine Design

Professor: Machine Design Course instructor is Prof. M.M. Mayuram and Prof. K. Gopinath, IIT Madras.

Course Outlook: Machine Design is a web-based course with 40 chapters. The chapters are curated with in-depth theoretical explanations, methods and figures. From fatigue considerations in design to gears, and brakes, to journal bearings, it will teach you everything.

2. Thermal Science and Engineering

1. thermodynamics.

Professor: Thermodynamics trainers are Prof. Pradip Dutta and Prof. K. Srinivasan, IISc Bangalore.

Course Outlook: The Thermodynamics course is a web content course. You will find the content on the website itself and no video learning process.

It contains 8 lectures. All the lectures are précised and to the point with examples, definitions, types and related theoretical information.

2. Fluid Mechanics

Professor: Fluid Mechanics is instructed by Prof. Suman Chakraborty, IIT Kharagpur.

Course Outlook: Fluid mechanics has two courses . One is basics and another is advanced by Prof. Suman Chakraborty. Both are video courses linked to YouTube.

The courses are a 12-week program with 60 lectures. The videos can be downloaded with or without transcriptions. And includes concepts. Theories solved examples, etc.

Link for The Course 1

Link for The Course 2

3. Heat Transfer

Professor: Prof. Amaresh Dalal and Gautam Biswas, IIT Kanpur have instructed the video course program.

Course Outlook: Convective heat transfer is a video course. It has 9 modules with 40 lectures. The course is coordinated by IIT Kanpur. All the lectures are available for download in PDF format.

From basic equations to external flow, internal flow, free convection, and conventions, all topics are thoroughly curated and explained. You can check below the link and go through it.

4. Engine Combustion

Professor: Prof. B.P. Pundir, IIT Kanpur is the trainer of the course.

Course Outlook: Engine combustion, a web course containing 40 lectures including an overview of engine emissions, emission control for SI engines, CI engines, engine fuels, etc. The course is made in complete detail with examples by Prof. B.P. Pundir. I am sure it will help you.

Link for the Course

5. Refrigeration and Air Conditioning

Professor: The instructor of the course is Prof. Ravi Kumar, IIT Roorkee

Course Outlook: Again, the course has 40 lectures and 8 units. It also includes a live session from 2019 covering the core topics of the course. The course is a video content program with downloadable links and available assignments to better your learning.

6. Power Plant Engineering

Course Outlook: Power Plan E n gineering is a 40-lecture video course merged into 8 units. The course contains assignments, problem-solving, and detailed video content. It includes all core topics like steam power plant cycle, fossil fuel steam generator, direct energy conversion, etc.

You can check the link below and go through it thoroughly.

7. Turbomachinery

Professor: Turbomachinery, among the best NPTEL courses for mechanical engineering, is coordinated by Prof. B.V.S.S.S. Prasad and Dr Y.V.S.S. Sanyasiraju, IIT Madras.

Course Outlook: Turbomachinery, mechanical engineering course is curated module-wise. There are 6 modules plus an index and a bibliography. It contains in total of 51 lectures including equations and case studies. And is a web content course in a downloadable PDF format.

3. Manufacturing Science

1. production processes.

Professor: The course is coordinated by Dr Pradeep K. Jha, IIT Roorkee.

Course Outlook: The production processes course is a video content course. It has 12 units with a total of 60 lectures. Each lecture is explained thoroughly with the use of examples and theory. Also, assignments are included for learners to have a better learning experience.

2. Materials Science

Professor: The instructor of the Materials Science course is Prof. Satish V Kailas, IISc Bangalore.

Course Outlook: Materials Science is a web content course with 18 lectures. All lectures are available for download in a PDF format. From an introduction to different properties and issues, all topics are covered by the instructor nicely with diagrams and examples.

3. Manufacturing Systems Technology

Professor: The course is coordinated by Dr Shantanu Bhattacharya, IIT Kanpur.

Course Outlook: The course is divided into two parts i.e. part 1 and part 2. The first course has 48 modules while part two has 30 modules. Both are in-depth video content courses with downloadable links.

Moreover, the course also includes transcripts and assignments for downloading purposes.

Link for The Course Part 1

Link for The Course Part 2

4. Mechanical Measurements and Metrology

Professor: Prof. Shunmugam M. S and Prof. S.P. Venkateshan are the two instructors of the course.

Course Outlook: Mechanical measurements and metrology is a web-content course with 29 lectures. The PDF content can be downloaded. The course includes all core topics needed to understand measurements and metrology. It is explained in depth using diagrams, equations and various figures.

4. Industrial Engineering

1. project and product management.

Professor : The coordinator of the course is Prof. Arun Kanda, IIT Delhi

Course Outlook : The course in total has 41 lectures. All lectures are taught through video content. The videos are also available on YouTube and can be downloaded from the website too. And includes all important topics like project management overview, identification, project representation, etc.

2. Industrial Engineering

Professor: Prof. D K Dwivedi, IIT Roorkee is the coordinator of the course.

Course Outlook: Industrial engineering is a video content course with 60 lectures merged into 12 units and an introduction video for an overview of the course. You can download the videos and transcripts for a better learning experience.

3. Operation Management

Professor: Dr Inderdeep Singh is the instructor of the course from IIT Roorkee.

Course Outlook: Operation management is the last in the list of the best NPTEL courses for mechanical engineering. It has 12 units and 60 lectures. The course is a video content course with downloadable resources like assignments, videos, and transcripts.

All topics like operation management, operation strategy, types of production, etc are included and explained well. You can go through the entire course from the below link.

Online courses are the best way to enhance learning and further the journey in a particular field. It doesn’t require investment, but enthusiasm. I would suggest you devotedly study all the courses and become the best in the field.

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This repository contains the codes for the assignment problems in the NPTEL course 'Robotics: Basics and Selected Advanced Concepts'

roboticslabiisc/NPTEL-Robotics-Basics-and-Selected-Advanced-Concepts-2022

Folders and files, repository files navigation, robotics basics and selected advanced concepts : solutions.

This GitHub repository contains the codes and plots for the assignment problems for the NPTEL course on Robotics Basics and Selected Advanced Concepts taught by Prof. Ashitava Ghosal from the Department of Mechanical Engineering, Indian Institute of Science, Bangalore.

Link to the course :

Nomenclature of MATLAB files(.m):

• W3_M2 : Means -- Week 3 - MCQ/MSQ/NM Question 2
• W3_S2 : Means -- Week 3 - Subjective Question 2

The codes were written and run in MATLAB® R2020a. A few places in the code may need to be changed if they are run in any older version.

Main author(s) : Soumya Kanti Mahapatra ( GitHub )

Contributors 2

• MATLAB 100.0%

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A brand new series from NPTEL is available from April 13, 2020 onward

Machine Learning for Engineering and Science Applications : Results have been published

Dear Learner, The results  for a few of the April 27/28 exams have been published. You will be informed via mail and SMS about the release of exam results and e-certificates. How to find out if results have been published? To check the publishing status of exam scores and e-certificates, click on this link: https://docs.google.com/spreadsheets/d/e/2PACX-1vS0P4yTZbjm0iIa5iDSJwzT1ti6j8QnQIcnt7nxbVZ2l2IJUDQbGCVlebfUJPGScEe91jxsw4rA018D/pubhtml How to check exam results & e-certificates: To check the results & see your e-certificate, go to  nptelonlinecourses.iitm.ac. in Login with the course enrolled e-mail id. Clicking on the course name will redirect to the score board. Click on Exam Scores - Both the Assignment scores and Exam score will be displayed. Final score is the certification score. Calculation Logic for each course is provided in the same page. Reporting of errors For each course, reporting of issues comes with its own deadline (date and time) So check the exam score/e-certificate as soon as you receive our notification. Once the certificates are printed, reprint of certificates with corrections will be done only by paying additional fees. If you want to lodge any issues about scores/e-certificates, you may do that in the same portal. nptelonlinecourses.iitm.ac.in If you are unable to see the scores/e-certificates, please write to  certification-exam@nptel. iitm.ac.in - NPTEL TEAM

Feedback for Machine Learning for Engineering and Science Applications

Machine learning for engineering and science applications : hall ticket for april 27 & 28, 2019 nptel online certification exams is now available for download..

Dear Candidate: 1. If you have registered and paid successfully for the   April 27 & 28, 2019  -NPTEL Online certification exams, your Admit Card/Hall ticket is now available at   https://cdn3.digialm.com/EForms/configuredHtml/885/60153/login.html   or  http://nptelonlinecourses.iitm.ac.in/   Login with your registered Google-enabled account email id (used to access the course on the portal and used for registering for the exam) and its password to access the link. Click on the download tab under the hall ticket for the April exam, from the link.   2. NOTE: Candidates who are taking the exam in the following cities (Dimapur,  Kala Amb, Katra, Banda - AN session, Mainpuri - AN session, Bapatla can download the hall ticket only from the link:  http://nptelonlinecourses.iitm.ac.in/ Please try to access both the links to download your hall ticket: if you are not able to find your hall ticket in both the links, kindly write to us at  [email protected]   Note that you will be able to log in here, only if you have a valid registration for exams on    April 27 & 28, 2019.  Please download hall ticket, take a print out and along with an original ID card, carry it with you to the exam venue (The exam center address is displayed in the hall ticket). Read all instructions given in the admit card/ hall ticket carefully and follow them. -NPTEL Team

Machine Learning for Engineering and Science Applications : Week 12 Feedback Form

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form: https://nptel.ac.in/noc/ nocprofile/super_admin/weekly_ feedback/form_login.php Thank you. -NPTEL team

Machine Learning for Engineering and Science Applications : Week 12 is live now!!

Dear students The lecture videos for Week-12 have been uploaded for the course Machine Learning for Engineering and Science Applications   . The lectures can be accessed using the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=181&lesson=182 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment for Week-12 is also uploaded and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=181&assessment=191 The assignment has to be submitted on or before Wednesday, 2019-04-24, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Contact form for information on Machine Learning for Engineering and Science

Dear Learners, Please fill in the google form in case you want to be notified about other learning materials that we will posting in future. https://forms.gle/ jEqeDHdctkgUneeq9 Regards, -Course Instructors

Machine Learning for Engineering and Science Applications:MATLAB Survey

Dear Learners, Thanks to the support from MathWorks, this course had access to a MATLAB license together with learning content. Please tell us about your experience using MATLAB in this course. This survey should take less than five minutes to complete:  Click here to give feedback -NPTEL

Week-11: Applications - Cardiac MRI Analysis Tensorflow Code and Research Paper Link

Dear Learner, In Week-11 applications section, we had discussed an application of machine learning and deep learning for Cardiac MRI  analysis carried out by Dr. Ganapathy Krishnamurthi's research group at IIT Madras. Please find attached link to the source code of the project in  GitHub and also accompanying link to  Journal  paper ( arxiv version ). Regards, -NPTEL

Machine Learning for Engineering and Science Applications :Week 11 Feedback Form

Machine learning for engineering and science applications : week 11 is live now.

Dear students The lecture videos for Week-11 have been uploaded for the course Machine Learning for Engineering and Science Applications   . The lectures can be accessed using the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=172&lesson=174 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment for Week-11 is also uploaded and can be accessed from the following link:   https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=172&assessment=173 The assignment has to be submitted on or before Wednesday, 2019-04-17, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Exam Type and Certificate Format

Dear Candidate

Type of exam: Computer based exam 

You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card(Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person. You can find the allotted exam center details in the hall ticket.

The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc

The hall ticket will be available for download tentatively around  Mid of April 2019.  We will notify the same through email.

On-Screen Calculator Demo Link:

Kindly use the below link to get an idea of how the On-screen calculator will work during the exam.

https://tcsion.com/OnlineAssessment/ScientificCalculator/Calculator.html

NOTE: Physical calculators are not allowed inside the exam hall.

 FINAL CERTIFICATE:

The final score =  25% assignment score + 75% final certification exam score.

The final score will determine if you will/will not receive a certificate.

1. Final score  < 40%: NO certificate

2. Final score between  40% -59% : Certificate of type  "Successfully completing the course"

3. Final score between  60% -74% : Certificate with tag  "Elite"  printed at the top

4. Final score between  75% -89% : Certificate with tag  "Elite" tag and "Silver medal"  printed at the top

5. Final score of  90% and above : Certificate with  "Elite" tag and "gold medal"  printed on it.

-NPTEL Admin

Machine Learning for Engineering and Science Applications : Week 10 Feedback Form

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://nptel.ac.in/noc/ nocprofile/super_admin/weekly_ feedback/form_login.php Thank you. -NPTEL team

Machine Learning for Engineering and Science Applications : Video recording on Interactive session 5

Dear All, There was an interaction session with some of the students for the course "Machine Learning for Engineering and Science Applications" The video recording is now available in the portal under the last unit "Interactive session" Those who are interested can take a look. Youtube link :  https://www.youtube.com/watch?v=nDEkArqv6Bo -NPTEL Team

Machine Learning for Engineering and Science Applications : Week 10 is live now!!

Machine learning for engineering and science applications : live interaction with course instructor - session 5.

Dear learner  You can interact LIVE with the Course Instructor Prof. Balaji Srinivasan and Prof. Ganapathy, IIT Madras of the course – “Machine Learning for Engineering and Science Applications".  Date: 02.04.2019 Time: 5.00 PM Link to login to: http://bit.ly/2V9wr0p   Enter your questions you want Prof. Balaji Srinivasan and Prof. Ganapathy to answer at http://bit.ly/2JVj4jg   You can also ask your doubts during the session through the chat window...  We would also like to hear from you after the session. Request you to share your thoughts in the forum. Learners are encouraged to visit https://nptel.ac.in/noc/livesession.php   for updates on the live sessions.  -NPTEL team

Machine Learning for Engineering and Science Applications : Week 10 Assignment is live now!

Dear students Assignment for  Week-10  is also uploaded and can be accessed from the following link:   https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=159&assessment=160 The assignment has to be submitted on or before  Wednesday , 2019-04-10, 23:59 IST. -NPTEL Team

Machine Learning for Engineering and Science Applications: Video Errata For Week 10

1. Naïve Bayes- a. In the video starting 11:16, it was incorrectly stated that the Naïve Bayes approximation assumed that the features are independent of each other or uncorrelated. The correct interpretation is that Naïve Bayes assumes the features to be independent given the class, i.e. they are conditionally independent. b. In the video starting 23:11, Laplace smoothing is described. The quantities m and n appearing in the denominator are the number of possible values of features x1 and x2. 2. MLE Intro: a. In the video starting 3:20, it was incorrectly stated that the square of the error i.e. ε 2 is modelled as Gaussian. The correct statement is that the error, i.e. ε is modelled as a Gaussian.

Machine Learning for Engineering and Science Applications : Week 9 Feedback Form

Machine learning for engineering and science applications : video recording on interactive session 4.

Dear All, There was an interaction session with some of the students for the course "Machine Learning for Engineering and Science Applications" The video recording is now available in the portal under the last unit "Interactive session" Those who are interested can take a look. Youtube link :  https://www.youtube.com/watch?v=lNux1FONCbM -NPTEL Team

Machine Learning for Engineering and Science Applications : Week 9 is live now!!

Dear students The lecture videos for Week-9 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=145&lesson=146 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment for Week-9 is also uploaded and can be accessed from the following link:   https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=145&assessment=155 The assignment has to be submitted on or before Wednesday , 2019-04-03, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Re-evaluation of Assignment 6 and Assignment 7

Dear Learner, Question no.6 of assignment 6 and question no.2 of assignment 7 has been re-evaluated. Kindly Check your progress. NPTEL Team

Machine Learning for Engineering and Science Applications : Feedback on Text Transcripts (English) of NPTEL videos

Dear Learners, We have uploaded the English transcripts for this course already. We would like to hear from you, a quick feedback for the same. Please take a minute to fill out this form. Click here to fill the form -NPTEL Team

Machine Learning for Engineering and Science Applications : Live interaction with Course Instructor

Dear learner  You can interact LIVE with the Course Instructor Prof. Balaji Srinivasan and Prof. Ganapathy, IIT Madras of the course – “Machine Learning for Engineering and Science Applications".  Date: 26.03.2019 Time: 5.00 PM Link to login to: http://bit.ly/2TgMsjs Enter your questions you want Prof. Balaji Srinivasan and Prof. Ganapathy to answer at http://bit.ly/2TjSS0Y You can also ask your doubts during the session through the chat window...  We would also like to hear from you after the session. Request you to share your thoughts in the forum. Learners are encouraged to visit https://nptel.ac.in/noc/livesession.php   for updates on the live sessions.  -NPTEL team

Machine Learning for Engineering and Science Applications : Video recording on Interactive session 3

Dear All, There was an interaction session with some of the students for the course "Machine Learning for Engineering and Science Applications" The video recording is now available in the portal under the last unit "Interactive session" Those who are interested can take a look. Youtube link :  https://www.youtube.com/watch?v=JC-iRqGEFPU -NPTEL Team

Machine Learning for Engineering and Science Applications : Week 8 Feedback Form

Solutions to assignments from week 1 to 6.

Invalid HTML tag: attribute name 20px is not allowed The solutions to assignments from Week 1 to 6 of Machine Learning for Engineering and Science Applications have been posted. The solutions can be accessed using the following link:  Assignment 1 Assignment 2 Assignment 3 Assignment 4 Assignment 5 Assignment 6 -NPTEL Team

Machine Learning for Engineering and Science Applications : Week 8 is live now!!

Dear students The lecture videos for Week-8 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=128&lesson=130 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment for Week-8 is also uploaded and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=128&assessment=129 The assignment has to be submitted on or before Wednesday, 2019-03-27, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Live interaction with Course Instructor - Session 3

Dear learner  You can interact LIVE with the Course Instructor Prof. Balaji Srinivasan and Prof. Ganapathy, IIT Madras of the course – “Machine Learning for Engineering and Science Applications".  Date: 19.03.2019 Time: 5.00 PM Link to login to: http://bit.ly/2O05JVe   Enter your questions you want Prof. Balaji Srinivasan and Prof. Ganapathy, IIT Madras to answer at http://bit.ly/2F3x3ho  You can also ask your doubts during the session through the chat window...  We would also like to hear from you after the session. Request you to share your thoughts in the forum. Learners are encouraged to visit https://nptel.ac.in/noc/livesession.php   for updates on the live sessions.  -NPTEL team

Machine Learning for Engineering and Science Applications: Reading material for transposed convolutions

Dear all Please download the paper from link https://arxiv.org/pdf/1603.07285.pdf​ "There were several questions on transposed convolutions. Since there are many possible scenarios involving transposed convolutions it is not possible to cover all of them in the videos. The paper (see link) is a very good tutorial which covers both convolutions, pooling and transposed convolutions. "  -NPTEL team

Machine Learning for Engineering and Science Applications : Video recording on Interactive session 2

Dear All, There was an interaction session with some of the students for the course "Machine Learning for Engineering and Science Applications" The video recording is now available in the portal under the last unit "Interactive session" Those who are interested can take a look. Youtube link :  https://www.youtube.com/watch?v=bkqAWfXnnKw -NPTEL Team

Machine Learning for Engineering and Science Applications - Error in Questions 6 of Assignment 6

Dear Learners, Please read question 6 of assignment as "Total number of parameters in the given network except output layer are" instead of "Total number of parameters in the given network except output layer are". N.B: The solution of week 6 assignment would be re-assessed. Regards, NPTEL

Machine Learning for Engineering and Science Applications : Week 7 Feedback Form

Machine learning for engineering and science applications : week 7 is live now.

Dear students The lecture videos for Week-7 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=111&lesson=117 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment for Week-7 is also uploaded and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=111&assessment=112 The assignment has to be submitted on or before Wednesday, 2019-03-20, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Live interaction with Course Instructor - Session 2

Dear learner  You can interact LIVE with the Course Instructor Prof. Balaji Srinivasan and Prof. Ganapathy, IIT Madras of the course – “"Machine Learning for Engineering and Science Applications".  Date: 12.03.2019 Time: 5.00 PM Link to login to: http://bit.ly/2H7xjz0 Enter your questions you want Prof. Balaji Srinivasan and Prof. Ganapathy to answer at http://bit.ly/2VMlmlP   You can also ask your doubts during the session through the chat window...  We would also like to hear from you after the session. Request you to share your thoughts in the forum. Learners are encouraged to visit https://nptel.ac.in/noc/livesession.php   for updates on the live sessions.  -NPTEL team

Machine Learning for Engineering and Science Applications : Week 6 Feedback Form

Machine learning for engineering and science applications : week 6 is live now.

 Dear students The lecture videos for Week-6 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=101&lesson=103 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment for Week-6 is also uploaded and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=101&assessment=102 The assignment has to be submitted on or before Wednesday, 2019-03-13, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications: Reminder 2 for Exam Registration - April 28, 2019 exams

Dear Candidate, For April 28, 2019 exams     •    Certification exam registration URL is: http://nptelonlinecourses.iitm.ac.in/     •    Choose an exam session: Forenoon: 9.00 AM -12.00 PM ; Afternoon: 2.00 PM - 5.00 PM     •    Choose from the Cities where exam will be conducted:    list of exam cities Exam fees:     •     Exam fees : Rs 1100/- per course exam :  If you register (fill and submit completed form) before 18 March 2019 10AM AND pay before 19 March 2019 10AM     •    Exam fees: Rs 1500/- per course exam If you register (fill and submit completed form) before 18 March 2019 BUT have NOT paid the fees till 19 March 2019 10AM If you register (fill and submit the completed form) after 18 March 2019 10AM For more details, refer the announcement posted earlier on the course. Hurry! Don't let go of this opportunity to earn a certificate from IITs/IISc!

Machine Learning for Engineering and Science Applications - Error in Questions 8, 9, 10 of Assignment 5

Dear Students, There is a mistake in multiple choice options of Questions 8, 9, 10 in Assignment 5. Kindly make a random choice, marks will be given to any option selected. Regards, NPTEL

Machine Learning for Engineering and Science Applications - Re-evaluation of Assignment -3

Dear Students, Re-evaluation of Assignment-3, Question-10 has been done. The score change is reflected in the progress tab. Thank You, NPTEL

Machine Learning for Engineering and Science Applications - Week 5 Feedback

Machine learning for engineering and science applications - week 5 live.

Dear students The lecture videos for Week-5 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=77&lesson=79 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already).   Assignment for Week-5 is also uploaded and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=77&assessment=78 The assignment has to be submitted on or before Wednesday 2019-03-06, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Week - 4 Feedback Form

Machine learning for engineering and science applications - week 4 live.

Dear students The lecture videos for Week-4 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=52&lesson=53 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already).   Assignment for Week-4 is also uploaded and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=52&assessment=63 The assignment has to be submitted on or before Wednesday 2019-02-20, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Video recording on Interactive session

Dear All, There was an interaction session with some of the students for the course "Machine Learning for Engineering and Science Applications" The video recording is now available in the portal under the last unit "Interactive session" Those who are interested can take a look. Youtube link : https://www.youtube.com/watch?v=Kzj70BxZ9zY -NPTEL Team

Machine Learning for Engineering and Science Applications: Week - 3 Feedback Form

Live session : machine learning for engineering and science applications.

Dear Learners, Kindly note that we are having a LIVE streaming of the course – “"Machine Learning for Engineering and Science Applications" by Prof. Balaji Srinivasan and Prof. Ganapathy – IIT Madras Details are shown below :  DATE & TIME: 14.02.2019 @ 5.00 PM LIVE STREAMING LINK: https://bit.ly/2MZoTdj Click on the following link to fill the Google form and share questions you may want to ask the Professor. Google form Link: https://bit.ly/2teY4J1 Learner can also pitch their doubts during the session through chat. We would also like to hear from you after the session. Request you to share your thoughts in the forum Learners are encouraged to visit  https://nptel.ac.in/noc/livesession.php for updates on the live sessions. Happy Learning !!!

Machine Learning for Engineering and Science Applications - Week 3 LIVE

Dear students The lecture videos for Week-3 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=40&lesson=41 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already).   Assignment for Week-3 is also uploaded and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=40&assessment=50 The assignment has to be submitted on or before Wednesday 2019-02-20, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications : Week - 2 Feedback Form

Machine learning for engineering and science applications - week 2 live.

Dear students The lecture videos for Week-2 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=16&lesson=17 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already).   Assignment for Week-2 is also uploaded and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=16&assessment=36 The assignment has to be submitted on or before Wednesday 2019-02-13, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications - Week 1 LIVE

Dear students The lecture videos for Week-1 have been uploaded for the course Machine Learning for Engineering and Science Applications. The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=8&lesson=9    The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already).   Assignment for Week-1 is also uploaded and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=8&assessment=24   The assignment has to be submitted on or before Wednesday 2019-02-13, 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. -NPTEL Team

Machine Learning for Engineering and Science Applications - Assignment 1 LIVE !!!

Dear Learners, Assignment 1 for "Machine Learning for Engineering and Science Applications" is now available on the portal. The due date for the assignment is 2019-02-13, 23:59 IST. Assignment URL :  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=8&assessment=24

Machine Learning for Engineering and Science Applications - Reminder 1: REGISTER TODAY - CERTIFICATION EXAM FORM IS NOW OPEN!

Dear Learner,  Here is the much-awaited announcement on registering for the  April 2019  certification exam.   1.    The registration for the certification exam is open only to students who have enrolled in the course. 2.    If you want to register for the exam for this course,  login here using the same email id used to enroll to the course .  3.    Till the start date of the course,  every Monday and Thursday at 5:00 PM ,  we will sync the enrollment data on the exam form. If you enroll in between,  please wait till the nearest Tuesday/Friday 10:00 AM to register for the exam . Once the enrollment is closed, the enrollment data will be completely loaded and you can register any time. 4.     Date of exam: April 28, 2019     •         Certification exam registration URL is:  http://nptelonlinecourses.iitm.ac.in/ •         Choose an exam session:  Forenoon: 9.00 AM -12.00 PM ; Afternoon: 2.00 PM - 5.00 PM •         Choose from the Cities where exam will be conducted:   list of exam cities 5.     Exam fees: •         If you register for exam and pay before  March 18, 10:00 AM, Exam fees will be Rs. 1100/- per exam. •         If you register for exam before  March 18, 10:00 AM and have not paid or register between March 18, 10:00 & March 22, 10:00 AM, Exam fees will be Rs. 1500/- per exam   6.     50% fee waiver for following categories: •         Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate •         Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate.   7.     Last date for registration:   March  22, 2019 10.00 AM (Friday).   8.     Mode of payment:   Online payment - debit card/credit card/net banking or via SPOC of college (refer to  guidelines  for “Pay via SPOC” instructions)   9.     HALL TICKET : The hall ticket will be available for download tentatively in the  mid of April 2019 .  We will confirm the same through an announcement once it is published.   10.  Final score on certificate: 25% of assignment score + 75% of certification exam score. Award of certificate:  Hard and soft copy of Certificate will be awarded only to those candidates who register for the exam, attend the certificate examination and whose Final score  >= 40% Please check the Announcements section of your course for further details on this.    11.  FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM: - you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same center will be allocated for both the sessions.   12.  Data changes   Following are the data that can be changed once the form is submitted (Last date for data changes:  22 March 2019, 10 AM ): •        Data that can be changed in form by candidates themselves: Name, Date of birth, Address, Photo and signature •        Data that can be changed by Email request to us : Course selected, shift, exam city. For changes in this email us at ( [email protected] ) giving your Application number, email id and name.  •        No changes will be entertained in any details after  March 22, 2019 – 10:00 AM.   13.  LAST DATE FOR CANCELLING EXAMS and getting a refund: 22 MARCH 2019 10:00 AM. Thanks & Regards, NPTEL TEAM

Machine Learning for Engineering and Science Applications :Week - 1 Feedback Form

Machine learning for engineering and science applications : week 1 is live now.

Dear Learners, The video content for week 1 is made available early for viewing to get an idea about the content but the actual start date remains unchanged. Happy viewing and learning! -NPTEL Team

Machine Learning for Engineering and Science Applications: Assignment 0 is live now!!

Dear Learners, We welcome you all to this course. The assignment 0 has been released. This assignment is based on prerequisite of the course. Kindly note that marks obtained in this assignment will not be considered for the final assessment. You can find the assignment in the link below: You can submit the assignment multiple times before the due date. All the best !!            Assignment URL :  https://onlinecourses.nptel.ac.in/noc19_cs14/unit?unit=6&assessment=7 Regards NPTEL

Machine Learning for Engineering and Science Applications - REGISTER TODAY - CERTIFICATION EXAM FORM IS NOW OPEN!

Welcome to nptel onlinae course : machine learning for engineering and science applications.

•     The announcement list which will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets etc.    
•     The discussion forum which is for everyone to ask questions and interact, the course instructor/TA will respond to your queries.
•     If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• Date of exams:  28 April 2019(Sunday).
• Time of Exams: Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm
• Exam for this course will be available in both morning & afternoon sessions.
• Final List of exam cities will be available in exam registration form.
• Exam registration url - Will be announced shortly.

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