School of Humanities

Computer Basics

This course is part of the programme:
Bachelor's study programme Slovene Studies (1st Level)

Objectives and competences

The main objective of the course is to make the students familiar to the basic knowledge of computer and information science. Students will be able to independently use software tools during the course of the study and, subsequently for searching information search and preparing reports, project assignments, presentations, and other materials.

Prerequisites

Prior knowledge of computer basics would be advantageous, but is not required. The course is designed for the beginners.

Content (Syllabus outline)

  • Basic knowledge of computer science:

◦ History and use of computers

◦ Introduction to informatics

◦ Structure and operation of the computer

◦ Computer hardware and software

◦ Computer networks and internet

◦ Trends in computer science

  • basic skills that are necessary for computer-based processing and analysis of texts in linguistics
  • use of the Internet as a source of information and tool for linguists
  • use of electronic dictionaries and concordancers

Intended learning outcomes

At the end of the course, the students will be able to understand and use:

  • computers and its components,
  • essential concepts of computer and information science
  • different input and output devices
  • computer hardware and software
  • different types of application software
  • internet sources

Readings

  • Baloh, P., Vrečar, P. (2011). Ob praktičnih primerih skozi Microsoft Office 2010. Ljubljana: Pasadena.
  • Gorjanc, V. (2005). Uvod v korpusno jezikoslovje. Domžale: Izolit.
  • Gradišar, M., Jaklič, J., Turk, T. (2012). Osnove poslovne informatike. Ljubljana: Ekonomska fakulteta.
  • Suhadolc, J. (2007). Nove priložnosti e-komuniciranja. Ljubljana: GV Založba.
  • Šuler, A. (2010). Spoznajmo Windows 7. Šempeter pri Gorici: Flamingo.
  • Šuler, R., Šuler, A. (2010). Spoznajmo Office 2010. Šempeter pri Gorici: Flamingo.
  • Vidmar, T. (2011). Računalniška omrežja z internetnimi storitvami. Ljubljana: Pasadena.
  • Vičič, J. (2012). Hitra postavitev prevajalnih sistemov na osnovi pravil za sorodne naravne jezike: doktorska disertacija. Ljubljana: Fakulteta za računalništvo in informatiko. Dostopno na: http://eprints.fri.uni-lj.si/1778/1/Vičič1.pdf
  • Vintar, Š. (2008). Terminologija: terminološka veda in računalniško podprta terminografija. Ljubljana: Znanstvena založba Filozofske fakultete.
  • Wechtersbach, R., Lokar, M. (2005). Informatika. Ljubljana: DZS.

Assessment

Successfully performed written exam (60%) and individual seminar work (40%)with oral presentation. Positive grade in the seminar work is required for admittance to a written exam. Seminar work with discussion is required to evaluate the ability of using computational tools for written and oral presentation of selected topics from computer science. Written exam assesses the knowledge of the fundamental concepts of computer and information science and the understanding of structure and operation of computers and computer networks.

Lecturer's references

Assit. Prof. Ingrid Petrič is researcher at the Centre of Systems and Information Technologies at the University of Nova Gorica. Her main research interests are related to database systems, text mining, knowledge discovery, business informatics and bioinformatics. She obtained her Ph.D degree in Information and Communication Technologies Program (previously named New media and E-science) from the Jožef Stefan International Postgraduate School, Ljubljana, Slovenia. Her PhD research led to the development of an algorithm and software that enable exploratory analysis of large text corpora. Her research approach was then used also for cross-context link discovery within the EU FP7-211898 project BISON – Bisociation Network for Creative Information Discovery.

Selected bibliography:

PETRIČ, Ingrid, CESTNIK, Bojan, LAVRAČ, Nada, URBANČIČ, Tanja. Outlier detection in cross-context link discovery for creative literature mining. Comput. j., 2012, vol. 55, no. 1, str. 47-61, doi: 10.1093/comjnl/bxq074. [COBISS.SI-ID 1621243]

PETRIČ, Ingrid, URBANČIČ, Tanja, CESTNIK, Bojan, MACEDONI-LUKŠIČ, Marta. Literature mining method RaJoLink for uncovering relations between biomedical concepts. Journal of biomedical informatics, apr. 2009, vol. 42, no. 2, str. 219-227, ilustr., doi: 10.1016/j.jbi.2008.08.004. [COBISS.SI-ID 929787]

PETRIČ, Ingrid, CESTNIK, Bojan, LAVRAČ, Nada, URBANČIČ, Tanja. Bisociative knowledge discovery by literature outlier detection. V: BERTHOLD, Michael R. (ur.). Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications, (Lecture notes in computer science, Lecture notes in artificial intelligence, 7250). Heidelberg [etc.]: Springer, 2012, str. 313-324, doi: 10.1007/978-3-642-31830-6_22. [COBISS.SI-ID 2413307]

PETRIČ, Ingrid, URBANČIČ, Tanja, CESTNIK, Bojan. Ontological representation of virtual business communities : how to find right business partners. V: CRUZ-CUNHA, Maria Manuela (ur.), VARAJAO, Joao (ur.). Innovations in smes and conducting e-business : technologies, trends and solutions, (Premier reference source). Hershey; New York; London: Information Science Reference: Igi Global, 2011, str. 263-277. [COBISS.SI-ID 24864295]

University course code: 1SI217

Year of study: 1

Semester: poletni

Course principal:

Lecturer:

ECTS: 3

Workload:

  • Lectures: 15 hours
  • Exercises: 45 hours
  • Other: 30 hours

Course type: compulsory

Languages: slovene

Learning and teaching methods:
• lectures • tutorial and individual seminar work using basic computational tools. a seminar work is performed on a selected topic from computer science that students study at home or at university • presentations of the individual seminar work with discussion