Bridging the Knowledge Gap

Title

Bridging the Knowledge Gap: Identifying Essential Machine Learning Concepts for Effective Progression in Follow-Up Courses

 Author

Jongejans, Liselotte (TU Delft Electrical Engineering, Mathematics and Computer Science)

Contributor

Migut, M.A. (mentor)

Degree granting institution

Delft University of Technology

 Programme

Computer Science and Engineering

 Project

CSE3000 Research Project

 Date

2023-06-28

 Abstract

This research paper aims to investigate the adequacy of concepts taught during an introductory machine learning course in preparing students for subsequent courses and their professional careers. The study adopts a comprehensive approach, including a literature review, interviews with teaching staff of follow-up courses, and a survey administered to students. The findings of the research indicate a homogeneity in the results, with no significant knowledge gaps identified in the concepts covered by the ML course. However, the study highlights the importance of emphasizing the underlying mathematical foundations more prominently, to enhance understanding and application in real-world scenarios.

 Subject

Machine learning
Concepts
bachelor education

 To reference this document use:

http://resolver.tudelft.nl/uuid:31777cdf-3b9a-49e7-b525-9870c03e8b2d

 Part of collection

Student theses

 Document type

bachelor thesis

 Rights

© 2023 Liselotte Jongejans
Files
PDF CSE3000_Bachelor_Thesis_LJJ.pdf 397.16 KB
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