Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > LA023

Computer Resources and Study Methods

Code: LA023     Acronym: RIMEST

Keywords
Classification Keyword
OFICIAL Computer Science

Instance: 2020/2021 - 1S Ícone do Moodle

Active? Yes
Web Page: http://moodle.up.pt
Responsible unit: Department of Germanic Studies
Course/CS Responsible: Bachelor in Applied Languages

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
LA 85 LA - Study Plan 1 - 6 52 162
Mais informaçõesLast updated on 2020-09-11.

Fields changed: Calculation formula of final grade, Melhoria de classificação, Bibliografia Obrigatória, Observações, Software de apoio à Unidade Curricular, Programa

Teaching language

Suitable for English-speaking students

Objectives

To develop the core skills required to conduct higher education studies in the field of Applied Languages: research skills, critical thinking, command of the standards of scientific communication and required computer skills.

Learning outcomes and competences

At the end of the semester students should be able to:



  • develop strategies and methods of study that are appropriate to their academic training;

  • develop research strategies and use their critical skills in order to take advantage of high voilumes of information available, in electronic and non-electronic format, to search and identifiy trustworthy information;

  • make an effective use of existing computational resources that are relevant for academic purposes, in general, and for the course of Applied Languages, in particular;

  • prepare academic and scientific assignments in accordance with the standards of academic and scientific communication;

  • comply with the highest standards of academic and scientific ethics and honesty. 


Working method

Presencial

Program

Module 1
1.The information society
2. IT tools
3. Applications 2.0

Module 2
1. Study methods
1.1. Time management
1.2. Exploring and managing resources

2. Document use skills, corpora creation and exploration

3. Preparing a scientific assignment
3.1. Topic selection and work plan
3.2. References: search and selection

Module 3
1. Academic and scientific writing
1.1. Scientific communication
1.2. Organizing a reference list

2. Academic honesty and integrity
2.1 Ethics and deontology in scientific research
2.2. Fraud
2.3. Plagiarism

Mandatory literature

Cottrell, Stella; The^study skills handbook. ISBN: 978-0-230-57305-5
Pochet, Bernard; Méthodologie documentaire. ISBN: 978-2-8041-4632-0
Cordón, J. A. et al.; Las nuevas fuentes de información, 2016

Complementary Bibliography

Azevedo, Carlos A. Moreira; Metodologia cientifica. ISBN: 972-9114-10-2
Eco, Umberto, 1932-; Como se faz uma tese em ciências humanas. ISBN: 972-23-1351-7
Fragata, Júlio; Noções de metodologia
Ketele, Jean-Marie de; Metodologia da recolha de dados. ISBN: 972-771-074-3
Marconi, Marina de Andrade; Metodologia do trabalho científico. ISBN: 85-224-2991-X
Santo, Paula do Espírito; Introdução à metodologia das ciências sociais. ISBN: 978-972-618-603-8
Silva, Adelina Lopes da; Saber estudar e estudar para saber. ISBN: 972-0-34108-4
Sousa, Gonçalo de Vasconcelos e; Metodologia da investigação. ISBN: 972-26-1559-9
Silva, Augusto Santos 220; Metodologia das ciências sociais

Comments from the literature

In addition to the bibliographic references available from the FLUP library, several computational resources will be used (including, but not exclusively, corpora management tools, ready-made corpora, dictionaries, reference management software), bibliographic databases, as well as search engines and online collaboration tools to conduct specific tasks.

Teaching methods and learning activities

Practical classes supported by theoretical background, and tutorials, in which a critical approach to the topics discussed will be adopted.

Software

Zotero
Ferramentas de colaboração online
Moodle
Microsoft Office
Corpógrafo

keywords

Physical sciences > Computer science > Informatics > Applied informatics
Social sciences > Educational sciences > Research methodology

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation Weight (%)
Teste 70,00
Trabalho prático ou de projeto 30,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 58,00
Frequência das aulas 54,00
Trabalho de investigação 50,00
Total: 162,00

Eligibility for exams

Students are required to attend 75 % of classes, except when permitted by FLUP regulations.

Students exempted from attendance should contact the teacher in the beginning of the semester.

Calculation formula of final grade

Módulo 1 (test): 35%;
Módulo 2 (practical assignment): 30%
Módulo 1 (test): 35%.

Classification improvement

Students failing the module or wishing to improve the grade can only repeat one of the tests (Module 1 or Module 3).

Observations

In order to pass the curricular unit students need to obtain a grade equal to or higher than 8 in each assessment component.
Recommend this page Top