The course is composed of 2 modules, A and B.
MODULE A: 1. KNOWLEDGE AND UNDERSTANDING: to understand the different types of graphs and for which kinds of datasets each one is more or less appropriate. To understand the message conveyed by graphs and images.
2. APPLYING KNOWLEDGE AND UNDERSTANDING:
To learn how to manage experimental data and use the most appropriate charts to graph them. To learn how to read graphs. To learn the basics of Excel to represent own data in appropriate and informative graphs. To learn the key features of attractive and informative images for scientific works.
3. MAKING JUDGEMENTS: to learn how to assess and evaluate critically graphs and images to understand whether their representation is objective and complete or partial.
4. COMMUNICATION SKILLS: to learn to make graphs and images that communicate a correct, complete and objective message.
5. LEARNING SKILLS: to learn where to find tutorials and software tools to build and edit graphs in software such as Excel. To understand where to find key parameters that define images (e.g., resolution and colour palette).
MODULE B: KNOWLEDGE AND UNDERSTANDING: to learn what and which are search engines and databases that are useful for the preparation of a scientific text and for literature search. To learn what are the various components of a scientific text. To learn what are the different types of scientific texts and their objectives.
APPLIED KNOWLEDGE AND UNDERSTANDING: to learn how to use search engines and databases, to acquire skills for the correct use of key commands, fields, keywords, and filters to do a scientific literature search. To learn how scientific metrics work and how to use them. To learn how to build a scientific text gradually, from the basic elemtns of words, going through the building of sentences, paragraphs, sections, and chapters. To learn how to identify keywords and how to create them.
MAKING JUDGEMENTS: to learn how to evaluate critically scientific works and their sources to build a bibliography that is correct, relevant and appropriate. To learn how to distinguish the various components of a scientific text based on content and format.
COMUNICATION SKILLS: To learn how to write a scientific work (ranging from a lab report, through the thesis, to a scientific article). Therefore to learn how to compose the various parts of a scientific text: title, authors, keywords, abstract, introduction, methods, results and discussion, conclusions, references, appendices.
LEARNING SKILLS: to understand how to grasp the content and quality of a scientific text based on the elements discussed and analysed during the course, such as the source, the title and the abstract. To learn how to use scientific metrics (impact factor, citations, etc.) to learn which ones are the more appropriate and relevant sources for a scientific literature search (type of journal, databases, etc.). To learn how to identify the different components of a scientific text to learn the content.

English basic level.

The course consists of 2 modules, A and B.
MODULE A: The first module deals with teaching the importance and ways of representing data with appropriate graphs and the importance and types of clear and informative images in scientific works. Copyrights and software programs for graphics and images. Inclusive color palettes. Discussion of examples.
MODULE B: Databases and search engines for chemistry and science. Literature and metrics searches. Structure and salient features of scientific works and their composition. Organizational advice and methods. Plagiarism and originality. Scientific vocabulary. Correct construction of the text and its writing. Discussion of examples.

MODULE A: Material on Moodle2. "Graphing Statistics & Data: Creating Better Charts" by Anders Wallgren, Britt Wallgren, Rolf Persson, Ulf Jorner, Jan-Aage Haaland. Sage Publications. 1996. London, UK. MODULE B: Material on Moodle2. Successful Lab Reports: A Manual for Science Students
by Christopher S. Lobban, MarLa Schefter. Cambridge University Press, 1992. Scientific Writing
by D. R. Lindsay. CSIRO Publishing, 2011.

The course is composed of 2 modules:, A and B.
MODULE A: Importance of images in scientific works. Types of images and their salient features. Images and graphs. Inclusive color palettes. Graph types. How to choose the best graph to represent experimental data. Basic principles of Excel to graph data. MODULE B: Databases and search engines (use of SciFinder, Scopus, Google Scholar, ChemSpider, etc.). Key metrics in science (H index, impact factor, citations, etc.) and their meaning, importance, and limitations. To learn how to write a scientific work (ranging from a lab report, through the thesis, to a scientific article). Single components of the text: title, authors, introduction, methods, results and discussion, conclusions, references: how to write, what to write).

Interactive methods (Moodle 2). Presentation slides.

Any changes to the methods described here, which may be necessary to guarantee the application of safety protocols related to any emergency situations, will be communicated on the Department website, the Course of Study website and on the teaching Moodle page.

The course is composed of 2 modules, A and B.
MODULE A: Preparation of a brief report (max. 2 pages) with data representation. MODULE B: Brief written report of a scientific literature search, bibliography included.

Inclusive quality education SDG 4