Introduction to Research

Code:

PDEQB0001

Acronym:

II

Keywords
Classification	Keyword
OFICIAL	Engineering and Related Techniques
OFICIAL	Manufacturing Industries
OFICIAL	Science, Mathematics and Informatics
OFICIAL	Environmental Protection
OFICIAL	Chemical Process Technology
OFICIAL	Engineering and Related Techniques

Instance: 2024/2025 - 2S

Active?	Yes
Responsible unit:	Department of Chemical and Biological Engineering
Course/CS Responsible:	Doctoral Program in Chemical and Biological Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PDEQB	12	Syllabus	1	-	12	48	324

Teaching language

English

Objectives

Achieve key skills to carry out advanced research activities (at Ph. D. level)

Learning outcomes and competences

Operational knowledge of the computational resources, namely those provided by FEUP/CICA, which should be needed for scientific communication and data treatment.
Mastering of safety and good hygiene practice in laboratories for chemical and biological Engineering.
Capacity for bibliography search, critical assessment of scientific and technical works, writing of reports, papaers and presentations, and knowledge of peer review system.
Recall of the key foundations of statistics, their connexion with scientific research and introduction to computational applications for data treatment (with emphasis for R language) and experimental planning.
Awareness about most typical errors in scientific publications and related ethical issues.
Identification of the different stages in a patent granted and its commercial exploitation.

Working method

À distância

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Expected master-level skills on applied computation, chemistry and statistics.

Program

Ethics in Research.

Hygiene and safety at FEUP; general safety procedures; waste

Practical use of the computer resources available at FEUP/CICA and UPdigital Scientific publishing, infoliteracy, indexing and bibliometrics and scientific writing.

Sustainability strategies

From the laboratory to the market: the path to research impact

Review of basic statistical concepts.

Data processing applications; introduction to the R language.

Concepts of Experimental Planning

Mandatory literature

Andreas Öchsner; Introduction to Scientific Publishing: Backgrounds, Concepts, Strategies, Springer, 2013. ISBN: ISBN 978-3-642-38646-6

Complementary Bibliography

Alberto Sérgio S. R. Miguel, [J. Francisco Vasconcelos, cap. 6 e 12]; Manual de higiene e segurança do trabalho. ISBN: 978-972-0-01896-0
Peter Dalgaard; Introductory statistics with R. ISBN: 0-387-95475-9

Teaching methods and learning activities

Lectures presented by specialists in the respective fields, namely from CICA, Safety, Hygiene, Health and Environment Service (FEUP) , Documentation Service (FEUP) and LEA/FEUP.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	30,00
Trabalho escrito	70,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de relatório/dissertação/tese	80,00
Frequência das aulas	20,00
Total:	100,00

Eligibility for exams

Attendance at at least 75% of lectures.

Calculation formula of final grade

CF = 0.7 T + 0.3 PP with:

 

T = Work grade

PP = Attendance at lectures

Examinations or Special Assignments

The written work should be the preparation of a scientific article on a topic already developed within the doctoral programme or a literature review. It will be useful if it is as close as possible to the version to be submitted for publication, so it must be written in English and have the appropriate number of pages for publication in a scientific journal. The work will be graded by the supervisor.

Special assessment (TE, DA, ...)

Not applicable.

Classification improvement

Rewriting of reports.