Courses from outside India - Mieles

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Courses from outside India Pilot Exercise

Transcript of Courses from outside India - Mieles

Courses from outside IndiaPilot Exercise

Course name Institute Instructors Enrollment Exam registrations

Machine Learning,ML

KTH Royal Institute of

Technology, Sweden

Prof. Carl Gustaf Jansson

Prof. Henrik BoströmProf. Fredrik Kilander

38480 2181

Electromagnetic compatibility,

EMC

KTH Royal Institute of

Technology, Sweden

Prof. Daniel ManssonProf. Rajeev Thottappillil

2148 147

Multimodal Interaction

Prof. Dr.-Ing.Sebastian Moller & Dr.-Ing. Stefan

Hillmann

432 101

Machine Learning, ML

Enrollment profile - Machine Learning, ML

Exam registration profile - Machine Learning, ML

Top 5 Registered College - Machine Learning, ML

1. KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT), HYDERABAD, TELANGANA.

2. MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE, GWALIOR, MADHYA PRADESH.

3. INSTITUTE OF ENGINEERING & MANAGEMENT, NASHIK, MAHARASHTRA.

4. MLR INSTITUTE OF TECHNOLOGY, HYDERABAD, TELANGANA.5. FEDERAL INSTITUTE OF SCIENCE AND TECHNOLOGY (FISAT),

ERNAKULAM, KERALA.

Machine Learning, ML - Feedback

1. Good contents,brief short and well explained.Looking forward for more.2. The content was informative but it would be more interesting if they could introduce to such

algorithms of machine learning and some sort of practical application of that algorithms in daily life.3. This is really easy to learn, was worried about it.Thank you the team for making it very relatable. 4. The course is tough for primary level.5. A little hard to understand things in one time.Trying to cope up.6. Please keep the size of videos short max upto 20 min in one go, else it demotivates to listen the

whole lecture. 7. I think tutor can make the sessions more interesting by taking much more examples and giving

interesting assingnments.It would be helpful for beginners who are reading this subject for the first time.

8. Got a fundamental understanding of Artificial Intelligence, and how machine learning is a subpart of it and how ML is used in various fields.

9. Its really tough to understand the thing easily but later on it will be easier i hope so but it is all over good to learn this course through nptel.

10. The language is difficult to understand as its slang is different from the Indian slang.

Machine Learning,ML

Week Submissions Average assignment

score

1 8964 81.8

2 5976 61.65

3 4254 73

4 3693 68.15

5 3509 64.35

6 617 50.4

7 43 72.8

8

Duration of the course: 8 Weeks (20 Hours)Number of forum posts: 511

Link to the course:onlinecourses.nptel.ac.in/noc19_cs35/course(user id: [email protected]: 4reviewer

nptel.ac.in/courses/106106202/

Machine Learning,ML

Recording process and Teaching assistantsThe intro video alone was recorded in IIT Madras

Other videos created by Prof on his system using a screen capture software and editing/upload was done by the IITM team

Teaching assistants were sourced from IIT Ropar - who check the assignments and answer the forum.

Assignments are very interesting - one set based on videos and another based on a set of reading material.

Electromagnetic Compatibility, EMC

Enrollment profile - Electromagnetic Compatibility

Exam registration profile - Electromagnetic Compatibility

Top 5 Registered College - Electromagnetic Compatibility1. KUMARAGURU COLLEGE OF TECHNOLOGY, COIMBATORE,

TAMIL NADU.2. VIT UNIVERSITY-VELLORE, VELLORE, TAMIL NADU.3. GOVERNMENT ENGINEERING COLLEGE BANSWARA, BANSWARA,

RAJASTHAN.4. GOKARAJU RANGARAJU INSTITUTE OF ENGINEERING AND

TECHNOLOGY, HYDERABAD, TELANGANA.5. VELAMMAL COLLEGE OF ENGINEERING & TECHNOLOGY, MADURAI,

TAMIL NADU.

Electromagnetic compatibility, EMC - Feedback

1. The course is good & also the lecturers. The course itself has some topics which may need further assistance to understand.

2. I am glad to be a student of such a useful and practical course.3. Basics of EMI and EMC was clearly explained. 4. Bit challenging to start and understand the concepts.5. Can be more clear with practical examples6. The content and delivery of the lectures is very good.7. Basic concept have been covered very well8. The videos are very long and that will make boring lectures even if they are informative.

Instead decompose those videos into smaller videos, which will make this course more interesting!

9. Need some more clarifications at some points of video lecture. TAs should be prompt and helpful in the discussion forum which I am not finding here. Responses at discussion forum are not giving in time. Overall I am little bit unsatisfied by choosing this course.

10. Please give more numericals to understand concepts better.

Electromagnetic compatibility, EMC

Week Submissions Average assignment

score

1 292 65.3

2 163 38.5

3 142 57.7

4 114 44.7

5 95 69.4

6 45 37.7

7 1 40.0

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Duration of the course: 8 Weeks (20 Hours)Number of forum posts: 97

Link to the course:onlinecourses.nptel.ac.in/noc19_ee17/course(user id: [email protected]: 4reviewer

nptel.ac.in/courses/108106138/

Electromagnetic compatibility, EMC

Recording process and Teaching assistantsMost videos recorded by Prof. Raajeev at IIT Madras during his visit here.

Teaching assistants were students from IIT Madras.

Initially all assignments were given by Prof. to be manually graded, but seeing enrollment numbers, they were all converted to computer based autograded assignments.

Multimodal Interaction

Enrollment profile - Multimodal Interaction

Exam registration profile - Multimodal Interaction

Top 5 Registered College - Multimodal Interaction

1. ADITYA ENGINEERING COLLEGE, SURAMPALEM, ANDHRA PRADESH.2. NEW HORIZON COLLEGE OF ENGINEERING, BENGALURU,

KARNATAKA.3. PSG COLLEGE OF ARTS & SCIENCE, COIMBATORE, TAMIL NADU.4. KONGU ARTS AND SCIENCE COLLEGE, ERODE, TAMIL NADU.5. SMT KAMALA AND SHRI VENKAPPA M AGADI COLLEGE OF

ENGINEERING AND TECHNOLOGY, GADAG, KARNATAKA.

Multimodal Interaction - Feedback

1. Lecturers speech are very clear. Showing examples of the concepts in video is phenomenal.Appreciate the fact the lecturer/session video is not beyond 30 minutes which is easy to understand.

2. Good exposure to the content.3. Tough to answer and understand the concepts...4. Content should be a bit more practical.5. Interesting course.6. The lecture delivered by Dr. Rahul Swaminathan was very informative, easy to grasp and

understand.It was well organized and seamlessly delivered. In the remaining videos accent was an issue.

7. Content is a bit monotonous in terms of its application8. The Content delivered in week 4 is very good and clear. Examples shown in the videos in relation

to each topic helped to understand/relate the concept easy. From the presentation view point i.e Clarity of Lecturer speech(Without echo) & Seeing the slides should have been as how it was till week 3 i.e Prof.Dr.Sebastian Moller. Dr. Rahul & Jens Ahrens have delivered the content really well but the body language is very casual with Dr.Rahul and with Jens the tone of voice could have been better.

Multimodal Interaction

Week Submissions Average assignment

score

1 105 60.9

2 95 54.9

3 92 39.3

4 89 57.7

Duration of the course: 4 Weeks (10 Hours)Number of forum posts: 17

Link to the course:onlinecourses.nptel.ac.in/noc19_cs34/course(user id: [email protected]: 4reviewer

nptel.ac.in/courses/106106200/

Multimodal Interaction

Recording process and Teaching assistantsAll videos created by Profs themselves and shared with IITM team

Faculty managed the course themselves.

Support extended by IITM in configuring the assignments and the end exam papers.

Both computer based and manually graded assignments were given.

Coordinated by: Co-funded by: