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

Media Object

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”
More info

Teaching Assistant(s)

Padmavathi

Btech (MME)

IITM

 Course Duration : Jul-Oct 2018
  View Course
 Enrollment : 18-Apr-2018 to 30-Jul-2018
 Exam registration : 25-Jun-2018 to 18-Sep-2018
 Exam Date : 28-Oct-2018

Enrolled

3364

Registered

733

Certificate Eligible

667

Certified Category Count

Gold

58

Silver

0

Elite

373

Successfully completed

236

Participation

10

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 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Non-Conventional Energy Resources - Toppers list
Top 1 % of Certified Candidates

ASWIN R 99%

INDIAN RAILWAYS

DR. ARITRA ACHARYYA 98%

COOCHBEHAR GOVERNMENT ENGINEERING COLLEGE

K.V.GUNAVATHY 98%

KONGU ENGINEERING COLLEGE

DR. PARUL JAIN 98%

S.V. POLYTECHNIC COLLEGE ,BHOPAL

SUMNESH MATHUR 97%

RAJASTHAN RAJYA VIDYUT UTPADAN NIGAM LTD.

KAWALJEET SINGH SAMRA 97%

LOVELY PROFESSIONAL UNIVERSITY

SHANTANU KUMAR 97%

NIT KURUKSHETRA

GAJANAN VIJAY GUPTA 97%

NOT APPLICABLE

SOLANKI DIPAK ARJUNBHAI 97%

GOVERNMENT POLYTECHNIC, PORBANDAR

RAUANK RATHORE 97%

HALDIA INSTITUTE OF TECHNOLOGY


Top 2 % of Certified Candidates

ANIL ISHWAR NIKAM 96%

SKN SINHGAD COLLEGE OF ENGINEERING

NAGARAJU SUBUDDI 96%

ADITYA INSTITUTE OF TECHNOLOGY AND MANAGEMENT

K. PUGAZHENDHI 96%

LOYOLA COLLEGE, CHENNAI

KAVITHA SENTHIL VASAN 96%

S.R. M. INSTITUTE OF SCIENCE AND TECHNOLOGY

P. K. SHUKLA 96%

ITS ENGINEERING COLLEGE


Top 5 % of Certified Candidates

DR RAMYA P 95%

R V COLLEGE OF ENGINEERING

DR. SANGEETA PRASHER 94%

KANYA MAHA VIDYALAYA

VAIBHAV DNYANESHWAR MADANE 94%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

RAVIKANT KUMAR 94%

G L BAJAJ INSTITUTE OF TECHNOLOGY AND MANAGEMENT

DR. MANOJ K. SINGH 94%

RAJKIYA ENGINEERING COLLEGE

C. RANGASAMI 94%

KONGU ENGINEERING COLLEGE

ENJAM YAGNAPRIYA YADAV 94%

SRI VENKATESWARA UNIVERSITY COLLEGE OF ENGINEERING

BYNA.ANUGNA 94%

SRI VENKATESWARA UNIVERSITY COLLEGE OF ENGINEERING

GAJJALA JOSHNA 94%

SRI VENKATESWARA UNIVERSITY COLLEGE OF ENGINEERING

P SRINIVAS 94%

VELAGAPUDI RAMAKRISHNA SIDDHARTHA ENGINEERING COLLEGE

ARITRA KUMAR DAS 94%

NTPC LTD.

HARDEEP SINGH LALL 93%

RAJIV GANDHI INSTITUTE OF TECHNOLOGY, MUMBAI

ANIL KUMAR GOPI 93%

SAINTGITS COLLEGE OF ENGINEERING

MELDA FRANCIS 93%

MERCY COLLEGE

RUDRAKSH S GUPTA 93%

SHRI MATA VAISHNO DEVI UNIVERSITY

BASIL JOSE 93%

KMML

RANJEET SINGH 93%

BANSAL INSTITUTE OF ENGINEERING & TECHNOLOGY

LOGABIRAM K T 93%

BHAKTAVATSALAM POLYTECHNIC COLLEGE, KANCHIPURAM

POTLURI HARITHA 93%

GUDLAVALLERU ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 3364

Data Not Found..!
Data Not Found..!

Assignment Statistics



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Assignment

Exam score

Final score

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.