DissMatch - Dissertation Supervision Matcher

Linus Hoffmann

DissMatch - Dissertation Supervision Matcher

Linus Hoffmann

Law

Research output: Digital or non-textual outputs › Software

Abstract

This Python script matches students to supervisors based on their preferences for supervision areas, using linear programming to maximise overall satisfaction. It is designed for academic settings where both students and supervisors rank their preferred research areas, and supervisors have a limited workload.

Original language	English
Publication status	Published - 14 Jul 2025

Keywords

python code
students and supervisors

Access to Document

https://github.com/LinusJHoffmann/DissMatch.git

Cite this

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title = "DissMatch - Dissertation Supervision Matcher",

abstract = "This Python script matches students to supervisors based on their preferences for supervision areas, using linear programming to maximise overall satisfaction. It is designed for academic settings where both students and supervisors rank their preferred research areas, and supervisors have a limited workload.",

keywords = "python code, students and supervisors",

author = "Linus Hoffmann",

note = "This project was developed with significant help from GitHub Copilot, which provided AI-powered code suggestions and refinements throughout the process. All code has been reviewed and curated by the project author.",

year = "2025",

month = jul,

day = "14",

language = "English",

}

TY - ADVS

T1 - DissMatch - Dissertation Supervision Matcher

AU - Hoffmann, Linus

N1 - This project was developed with significant help from GitHub Copilot, which provided AI-powered code suggestions and refinements throughout the process. All code has been reviewed and curated by the project author.

PY - 2025/7/14

Y1 - 2025/7/14

N2 - This Python script matches students to supervisors based on their preferences for supervision areas, using linear programming to maximise overall satisfaction. It is designed for academic settings where both students and supervisors rank their preferred research areas, and supervisors have a limited workload.

AB - This Python script matches students to supervisors based on their preferences for supervision areas, using linear programming to maximise overall satisfaction. It is designed for academic settings where both students and supervisors rank their preferred research areas, and supervisors have a limited workload.

KW - python code

KW - students and supervisors

M3 - Software

ER -

DissMatch - Dissertation Supervision Matcher

Abstract

Keywords

Access to Document

Fingerprint

Cite this