A Language for Forming Composite Grades and Grade Tables for the DeepMOOC Platform
Name
Kaarel Kangro
Abstract
DeepMOOC is an automated testing platform for programming related courses that is currently being developed. As part of this thesis, a solution for forming composite grades and grade tables for this platform has been developed in the form of a new programming language with an interpreter implemented in the Go language. The grammar and functionality of the created language have been described in this work. Additionally, the performance of the interpreter has been tested for different data volumes and grading schemes.
Graduation Thesis language
Estonian
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Tõnis Hendrik Hlebnikov, Ahti Põder
Defence year
2022