{overleaf template gallery}LaTeX templates — Recent

YTU Bilgisayar Mühendisliği Bölümü Bilgisayar / Bitirme Proje Latex Şablonu Versiyon 3.5

The BHCexam document class attempts to make it easy for even a LaTeX novice to prepare exams. Especially designed for math teachers in China.

Document template for Stage 2 Research Proposal Submission as a requirement of the Doctor of Philosophy at Queensland University of Technology.

This document summarizes important aspects (structure, contents, layout, tables, figures, formulas, citations, references) of the preparation of degree theses. At the same time, this document can also be used as a template for such theses. The document has been developed at the Chair for Electromagnetic Compatibility at the Institute of Medical Engineering.

Im Dokument werden wichtige Richtlinien (inhaltliche und formale Gestaltung, Tabellen, Abbildungen, Formelsatz, Literaturangaben) zur Ausarbeitung für Abschlussarbeiten zusammengefasst. Gleichzeit kann das Dokument auch direkt als Vorlage für solche Arbeiten benutzt werden. Das Dokument wurde am Lehrstuhl für Elektromagnetische Verträglichkeit am Institut für Medizintechnik entwickelt.

NOVAthesis is an open-source LaTeX template designed for creating theses, dissertations, and similar documents. It supports over 30 academic institutions and degrees, making it suitable for both LaTeX beginners and experts. Its user-friendly design is ideal for newcomers, while its flexibility appeals to experienced users. Additionally, NOVAthesis offers a wide range of options to meet the diverse needs of its large user community. With ongoing improvements based on user feedback, NOVAthesis has become a powerful tool for academic writing.

Unofficial report template for Universidad de Zaragoza, it can be used for thesis/projects or reports * PRENSAS UNIZAR margins option added

Oregon State University Report template. COE header used but can be replaced.

Template for Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, 2-4 April 2025, London, UK