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