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: 2024/2025 - 1S Ícone do Moodle

Active? Yes
Web Page: http://moodle.up.pt
E-learning page: https://moodle.up.pt/
Responsible unit: Department of Portuguese and Romance 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 90 Study plan 1 - 6 41 162

Teaching Staff - Responsibilities

Teacher Responsibility
Anette Kind

Teaching - Hours

Theoretical and practical : 3,00
Type Teacher Classes Hour
Theoretical and practical Totals 1 3,00
Marta Daniela Pessegueiro Veiga dos Santos Afonso 3,00

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

By 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 form, 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

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

n/a

Program

1. Computational resources:
1.1. Information search tools
1.2. Language resources
1.3. Text generation and processing tools
2. Study methods:
2.1. Academic and scientific writing
2.1.1. Bibliographical resources
2.1.2. Organising scientific references
2.1.3. Scientific communication
2.2. Corporate and business writing
2.2.1. Corporate and business communication
2.2.2. Internal and external communication
3. Academic and professional integrity and honesty
3.1. Ethics and deontology in scientific research and professional practice
5.2. Fraud
5.3. Plagiarism

Mandatory literature

Cottrell, Stella; The^study skills handbook. ISBN: 978-0-230-57305-5
Cordón, J. A. et al.; Las nuevas fuentes de información, 2016
Carroll, Jude; Appleton, John; Plagiarism: A Good Practice Guide, 2001. ISBN: Oxford Brookes University

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, in which a critical approach to the topics discussed will be adopted.

Software

Google Drive
OneDrive
Zotero
Microsoft Office
Moodle

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 100,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 121,00
Frequência das aulas 41,00
Total: 162,00

Eligibility for exams

Students are expected to attend 75% of classes, unless agreed otherwise (working students and other exceptions laid down in the regulations should contact the teaching staff at the beggning of the semester to set an alternative assessment procedure).

Calculation formula of final grade

Two written tests with a weigh of 50% each test.

In order to pass the curricular unit, students need to attend at least 75% of classes (except in the cases legally established) and obtain a minimum grade of 9.5 points in each test.

Exam (applicable to special cases): 100%

Examinations or Special Assignments

n/a

Internship work/project

n/a

Special assessment (TE, DA, ...)

Students with special status should contact the teaching staff at the beginning of the semestre to agree on means of assessment.

Classification improvement

Students wishing to improve the final grade obtained in the tests or in the exam or repeat their assessment will have to repeat the exam.
Recommend this page Top