Have a personal or library account? Click to login
Course Sequence Recommendation with Course Difficulty Index Using Subset Sum Approximation Algorithms Cover

Course Sequence Recommendation with Course Difficulty Index Using Subset Sum Approximation Algorithms

Cybernetics and Information Technologies
Volume 19 (2019): Issue 3 (September 2019)
By: M. Premalatha and  V. Viswanathan  
Open Access
|Sep 2019

Authors

M. Premalatha

premalatha.m@vit.ac.in

School of Computing Science & Engineering, Vellore Institute of Technology, Chennai, India

V. Viswanathan

viswanathan.v@vit.ac.in

School of Computing Science & Engineering, Vellore Institute of Technology, Chennai, India
DOI: https://doi.org/10.2478/cait-2019-0024 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 25 - 44
Submitted on: Apr 11, 2019
|
Accepted on: Aug 22, 2019
|
Published on: Sep 26, 2019
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Course sequence recommendation,
Course credits,
Course difficulty,
Pre-requisite weight,
Approximation Algorithm
Related subjects:
Computer sciences,
Information technology

© 2019 M. Premalatha, V. Viswanathan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 19 (2019): Issue 3 (September 2019)Next article