Titulació | Tipus | Curs | Semestre |
---|---|---|---|
4313792 Neurociències | OB | 0 | 1 |
No hi han requeriments específics diferents dels del propi master. Quan comencin les classes, els estudiants han de tenir l'acceptació d'un grup de recerca i un possible projecte.
Els objectius principals del curs són i) oferir capacitats transversals per a comunicar ciència de forma eficaç, ii) que l'estudiant adquireixi competències bàsiques en análisi estadístic, i iii) que l'estudiant es familiaritzi amb un entorn real de recerca.
1. Communication in Science.
A scientist generates products that need to be marketed conveniently. This part of Module #1 leads the student to realize that the development of skills to communicate scientific results in an effective manner is, at least, as important as generating them. Being English the lingua franca among scientists, all activities will be conducted in this language. Continued evaluation will emphasize the progress of each student throughout the teaching period. The final mark in this submodule will combine class attendance and timely completion of assignments.
In essence, the course consists of:
Paper writing: What to publish, where, and how. We will emphasize abstract (summary) writing. Abstracts, unlike most beginners may think, is one of the trickiest parts of scientific writing. Most potential readers of your paper will only devote a few seconds to read your abstract from scientific databases. If you don’t catch their attention, you have failed. Within this paper writing part, we will get into the peer-review system.
Poster design: Effective poster design is much more than merely putting your figures together and fitting some text in between. Consider yourself in the middle of a 400-poster session, competing with every one to attract the attention of that important scientist coming down the hall, with whom you want to talk. Just passing by, the big guy may ask you, “hum, what have you done here?” Unless you say something captivating within 15 seconds, his eyes might be already on the next poster.
Lecturing: Speaking to an audience about your research is a privilege and a great occasion to know and be known. However your product (your science) may not reach the customer (the audience). Beware of Power Point-induced sleep, make the simplest possible slides, use body language wisely, make eye contact with the audience, respect your time limits, and much more.
Additionally, depending on the enrollment number, we will discuss some science ethics and the science and art of fundraising
2. Statistical Analysis of Experimental Data.
Introduction. Statistics is a central issue for experimentalists, both before and after the experiments are performed. In the former case because careful experimental design is needed if we want the experiment yields right answers to the questions we are asking for and in the latter case because data sets resulting from experiments need systematic and accurate analyses in order to produce unbiased and reproducible conclusions. Variability is inherently linked to biology and statistics is responsible for variability modeling, that is, for separating the diverse sources of error to identify trends, associations, correlations helpful for exploring the intricate jungle of life sciences.
Objectives. The subject comprises a basic course on statistics. The fundamental objective is to qualify the students for accurate analysis and interpretation of experimental data.
Contents. 1. An introduction to the statistical package. 2. Working with data in a project. 3. Monovariate and bivariate descriptive statistics. 4. Random variables and probability distributions. 5. Statistical inference: Estimation and hypothesis testing. 6. Analysis of the differences between two groups or conditions: (a) two independent samples and paired data; (b) parametric and non-parametric tests. 7. Analysis of the differences between two or more groups: Analysis of variance (ANOVA).
3. Research Laboratory
Getting familiar with the theoretical background of the particular research project proposed by your tutor.
Elaboration of your working hypothesis and work plan.
Learning the techniques needed to carry out your research project.
*Unless the requirements enforced by the health authorities demand a prioritization or reduction of these contents.
Classes magistrals / expositives
Pràctiques d'aula
Presentació / exposició de treballs
Estada al laboratori (treballs tutelats i autònoms al laboratori on l'alumne prepara la seva tesi final de màster)
*La metodologia docent proposada pot experimentar alguna modificació en funció de les restriccions a la presencialitat que imposin les autoritats sanitàries.
Títol | Hores | ECTS | Resultats d'aprenentatge |
---|---|---|---|
Tipus: Dirigides | |||
Classes magistrals | 37,5 | 1,5 | 2, 3, 5, 8, 9, 10, 11, 12 |
Tipus: Supervisades | |||
Formació supervisada al laboratori | 75 | 3 | 1, 2, 4, 5, 6, 7, 8, 9, 11, 12, 13 |
Presentació / exposició de treballs | 54,25 | 2,17 | 2, 4, 5, 8, 9, 10, 12 |
Tipus: Autònomes | |||
Preparació i redacció de treballs | 56,25 | 2,25 | 1, 4, 5, 6, 7, 8, 9, 12, 13 |
Treball de laboratori | 75 | 3 | 1, 4, 5, 6, 7, 9, 10, 11, 12, 13 |
Avaluació continuada, on es té en compte assistència i actitud, entrega puntual de treballs, exposició i defensa de treballs, un examen pràctic d'estadística, i un informe del tutor del grup de recerca.
*L’avaluació proposada pot experimentar alguna modificació en funció de les restriccions a la presencialitat que imposin les autoritats sanitàries.
Títol | Pes | Hores | ECTS | Resultats d'aprenentatge |
---|---|---|---|---|
Entrega de treballs | 17% | 0 | 0 | 1, 2, 3, 4, 5, 7, 8, 9, 10, 12 |
Examen | 36% | 2 | 0,08 | 4, 11 |
Informe del tutor | 30% | 0 | 0 | 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 |
Presentació i defensa oral de treballs | 17% | 0 | 0 | 2, 4, 5, 6, 7, 8, 9, 10, 12 |
George M. Hall: How to write a paper. BMJ Books, 2008
Jenny Freeman: How to display data. BMJ Books, 2008
George M. Hall: How to present at meetings. BMJ Books, 2007
Elizabeth Wager: How to survive peer review. BMJ Books, 2002
Ivan Valiela: Doing Science. Design, Analysis, and Communication of Scientific Research. Oxforf U.P., 2001