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The program takes all the available knowledge in the universe and extrapolates a score for each IIT using state of the art algorithmic techniques (i.e., deep guessing). To resolve ties, the program also computes a secondary score which is a random number. The program next computes a weighted average of the two scores - the weight assigned to the first score is based on its scientific value and merit, and is thus zero, and the remaining weight is assigned to the secondary score (i.e., 1). The program then sort and output the departments in decreasing ordering of their weighted scores.
Inspiration Check this page for a ranking of computer science departments.
import { shuffle } from "./shuffle.js"
arr = [ "IIT Kharagpur" ,
"IIT Bombay" ,
"IIT Madras" ,
"IIT Kanpur" ,
"IIT Delhi" ,
"IIT Guwahati" ,
"IIT Roorkee" ,
"IIT Ropar" ,
"IIT Bhubaneswar" ,
"IIT Gandhinagar" ,
"IIT Hyderabad" ,
"IIT Jodhpur" ,
"IIT Patna" ,
"IIT Indore" ,
"IIT Mandi" ,
"IIT (BHU) Varanasi" ,
"IIT Palakkad" ,
"IIT Tirupati" ,
"IIT (ISM) Dhanbad" ,
"IIT Bhilai" ,
"IIT Dharwad" ,
"IIT Jammu" ,
"IIT Goa" ] ;
x = shuffle (arr) ;
y = document . getElementById ( "quarto-document-content" ) ;
y . innerHTML += "1. " + x[ 0 ] + "<br> 2. " + x[ 1 ] + "<br> 3. " + x[ 2 ] + "<br> 4. " + x[ 3 ] + "<br> 5. " + x[ 4 ] + "<br> 6. " + x[ 5 ] + "<br> 7. " + x[ 6 ] + "<br> 8. " + x[ 7 ] + "<br> 9. " + x[ 8 ] + "<br> 10. " + x[ 9 ] + "<br> 11. " + x[ 10 ] + "<br> 12. " + x[ 11 ] + "<br> 13. " + x[ 12 ] + "<br> 14. " + x[ 13 ] + "<br> 15. " + x[ 14 ] + "<br> 16. " + x[ 15 ] + "<br> 17. " + x[ 16 ] + "<br> 18. " + x[ 17 ] + "<br> 19. " + x[ 18 ] + "<br> 20. " + x[ 19 ] + "<br> 21. " + x[ 20 ] + "<br> 22. " + x[ 21 ] + "<br> 23. " + x[ 22 ] ;
arr =
Array(23) ["IIT Kharagpur" , "IIT Bombay" , "IIT Madras" , "IIT Kanpur" , "IIT Delhi" , "IIT Guwahati" , "IIT Roorkee" , "IIT Ropar" , "IIT Bhubaneswar" , "IIT Gandhinagar" , "IIT Hyderabad" , "IIT Jodhpur" , "IIT Patna" , "IIT Indore" , "IIT Mandi" , "IIT (BHU) Varanasi" , "IIT Palakkad" , "IIT Tirupati" , "IIT (ISM) Dhanbad" , "IIT Bhilai" , …]
x =
Array(23) ["IIT Guwahati" , "IIT Jodhpur" , "IIT Ropar" , "IIT Mandi" , "IIT Bombay" , "IIT Delhi" , "IIT Kharagpur" , "IIT Roorkee" , "IIT (BHU) Varanasi" , "IIT Tirupati" , "IIT Bhilai" , "IIT Madras" , "IIT Indore" , "IIT Jammu" , "IIT Goa" , "IIT Bhubaneswar" , "IIT Kanpur" , "IIT Gandhinagar" , "IIT Hyderabad" , "IIT (ISM) Dhanbad" , …]
1. IIT Guwahati 2. IIT Jodhpur 3. IIT Ropar 4. IIT Mandi 5. IIT Bombay 6. IIT Delhi 7. IIT Kharagpur 8. IIT Roorkee 9. IIT (BHU) Varanasi 10. IIT Tirupati 11. IIT Bhilai 12. IIT Madras 13. IIT Indore 14. IIT Jammu 15. IIT Goa 16. IIT Bhubaneswar 17. IIT Kanpur 18. IIT Gandhinagar 19. IIT Hyderabad 20. IIT (ISM) Dhanbad 21. IIT Dharwad 22. IIT Palakkad 23. IIT Patna
© 2022 • Neeldhara Misra • Credits •
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