From finding the scientific literature to writing the final document: academic search engines, reference management with Zotero or Mendeley, LaTeX and Overleaf, and reproducible ways of working.
Who it is for : Master's students, PhD students, researchers, university teachers.
17 course(s) shown
Find the relevant scientific literature with Google Scholar, ScienceDirect, Scopus, Web of Science, PubMed and IEEE Xplore: search operators, citation tracking and related articles.
Master search operators, alerts, citation tracking and the discovery of related articles.
Search and compare the literature in the major academic databases: advanced queries, filters, indicators and exports.
Build effective queries in PubMed: keywords, MeSH terms, filters and reference export.
Find papers, standards and conference proceedings in engineering and computing: advanced search, filters and export.
Organize your bibliography: import references and PDFs, sort them, insert citations in Word or LibreOffice and automatically generate your bibliography in the required style.
Organize your PDFs and references with Mendeley and insert citations and bibliographies in your documents.
Understand citation styles and set up a reliable method to manage your references from the start to the end of a piece of work.
Write papers, dissertations and theses with LaTeX and Overleaf: structure, equations, tables, figures, references and BibTeX bibliography.
Structure a dissertation or thesis in Overleaf: chapters, figures, tables, references and templates.
Create and maintain your .bib files, choose a style and produce a clean bibliography in LaTeX.
Organize your writing, notes and sources with digital tools suited to a dissertation, a paper or a thesis.
Chain literature search, reference management, analysis and writing into a coherent workflow.
Data, code, documentation, Git and notebooks: make your analyses reproducible and shareable.
Use AI to explore the literature, summarize papers and prepare texts, while verifying sources and respecting academic integrity.
A track that follows the real work of a researcher: find the literature, manage references with Zotero or Mendeley, analyze data with Python, then write with LaTeX and Overleaf up to the scientific paper.
Import laboratory or field data, clean it, handle missing values, run statistics and produce reproducible figures with Python, Pandas, SciPy and Matplotlib.
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