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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 ] ;
import {shuffle as shuffle} from "./shuffle.js"
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 (BHU) Varanasi" , "IIT Guwahati" , "IIT Bhubaneswar" , "IIT Delhi" , "IIT Goa" , "IIT Hyderabad" , "IIT Kharagpur" , "IIT (ISM) Dhanbad" , "IIT Palakkad" , "IIT Dharwad" , "IIT Jammu" , "IIT Kanpur" , "IIT Patna" , "IIT Mandi" , "IIT Madras" , "IIT Bombay" , "IIT Ropar" , "IIT Jodhpur" , "IIT Roorkee" , "IIT Indore" , …]
1. IIT (BHU) Varanasi 2. IIT Guwahati 3. IIT Bhubaneswar 4. IIT Delhi 5. IIT Goa 6. IIT Hyderabad 7. IIT Kharagpur 8. IIT (ISM) Dhanbad 9. IIT Palakkad 10. IIT Dharwad 11. IIT Jammu 12. IIT Kanpur 13. IIT Patna 14. IIT Mandi 15. IIT Madras 16. IIT Bombay 17. IIT Ropar 18. IIT Jodhpur 19. IIT Roorkee 20. IIT Indore 21. IIT Tirupati 22. IIT Bhilai 23. IIT Gandhinagar
© 2022 • Neeldhara Misra • Credits •
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