Course Name: Non-Conventional Energy Resources

Course abstract

This course looks at the operating principle of a range of non-conventional energy resources, materials used, characterization, and key performance characteristics. The technologies looked at will include, Solar energy, Wind, Batteries, Fuel cells, and Geothermal conversion. The advantages and limitations of these technologies in comparison to conventional sources of energy will also be examined.


Course Instructor

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Prof. Prathap Haridoss

Prof. Prathap Haridoss is a Professor in the Department of Metallurgical and Materials Engineering at IIT Madras. He works in the areas of Fuel Cell and Carbon nanomaterials. He has a B.Tech in Metallurgical Engineering from IIT Madras, and a PhD in Materials Science and Engineering from the University of Wisconsin-Madison, USA. Before he joined as a faculty at IIT Madras, he served as a Senior Scientist at Plug Power, a Fuel Cell company in New York. He has 3 US patents, several International Journal publications, and has published a book titled Physics of Materials, Essential Concepts of Solid State Physics

For any queries about the course contact

Mrs. Lalty Dutta
Emaillalty@iitk.ac.in
Mobile No: 8953607797

M/s: Roopali Singhal 
Email: roopalisinghal18@gmail.com
Mobile No: 8889704962


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Teaching Assistant(s)

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 Course Duration : Feb-Apr 2018

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 Exam registration : 08-Jan-2018 to 07-Mar-2018

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Certificate Eligible

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Certified Category Count

Gold

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Silver

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Elite

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Successfully completed

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Participation

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Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 0

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Assignment Statistics




Assignment

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Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.