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