School for Viticulture and Enology

Introduction to Computer and Information Science

This course is part of the programme:
Bachelor's programme in Viticulture and Enology (1st level)

Objectives and competences

The aim and objective of the course is to bring computer and software to students to acquaint students with basics of computer science and inspire for its use. The acquired basic knowledge of computer science student will be be advantageously used during the study as a tool for producing seminar works, reports and other written material. The curriculum is designed to allow students the practical testing of theoretical knowledge through exercises.

Prerequisites

The knowledge of mathematics, physics, especially in the field of numerical formations and mathematical functions, drawing diagrams and charts.

Content (Syllabus outline)

Course content

1 Introduction

  • The objectives and purpose of the study
  • Presentation of the syllabus
  • Presentation of teaching aids and methods of work
  • Presentation of students’ obligations and the “rules of the game”
  • Information and suggestions for study

2 Computer, its development and use

  • The importance of informatics and computer science
  • Early beginnings and subsequent development of computing
  • The discovery of the microprocessor
  • Fields of application
  • Classical and computerized systems

3 Computer components

  • The central processing unit (CPU)
  • Internal and external memory
  • Input and output devices
  • Communication and data transfer between computer units

3 Hardware (Hardware)

  • General hardware
  • Types and capacity of computers and computer systems
  • Capacities computer components and their impact on the speed and reliability of the

5 software (software)

  • General information about the software; properties

5.1 Operating Systems

  • Operating system and its importance in the operation of a computer
  • Types and characteristics of the underlying operating systems
  • Windows operating system and its characteristics

5.2 User Programs

  • The importance of knowing a user programs
  • Fields of application
  • A text editor Word
  • Tool for Excel spreadsheets and charts

5.3 Basics of Database

  • Database as a carrier of information; the importance and use of
  • Model entity relationship
  • Relational data model
  • Systems management databases; properties and application

6. Computers and computer networks

  • The advisability of use of computer networks
  • Types and characteristics of computer networks
  • Choice of computer networks; methods and criteria
  • Advantages of using network software and network printers
  • Required hardware and software upgrade your computer to connect to a computer network
  • Computer network Internet connection, properties and applications

7 . The importance of selecting the appropriate hardware and software

  • Prediction towards the development of enterprises in the procurement of hardware and software
  • How to choose a suitable computer and its configuration?
  • User programs and the necessary hardware

Exercises

  • PC and its BIOS
  • Working with the Windows environment and its programs
  • How to store and work with files
  • Work with a text editor Word; design documents
  • Work with Excel spreadsheets, data entry and preparation of charts
  • Transfer data between different application programs; transformation file formats
  • An example of a relational database
  • Transposition and application data between computers in a network
  • Use of network software and network printers
  • Connecting to a computer network Internet
  • Finding information and data using the Internet

Intended learning outcomes

Students will be at the end of this course able to understand and use: computers and its components; the basic concepts of computer science and informatics; various input and output devices; computer hardware and computer software; a variety of software applications; internet sources.

Readings

Baloh, P., Vrečar, P. (2011). Ob praktičnih primerih skozi Microsoft Office 2010. Ljubljana: Pasadena.

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.

Wechtersbach, R., Lokar, M. (2005). Informatika. Ljubljana: DZS.

Priročnik za Osnove računalništva.

ARNES-ov priročnik za popolni dostop do omrežja Internet.

Assessment

Condition for the exam is positively evaluated written seminar and its oral presentation. The student performs written (and oral) examination of the whole content of the course. 40/60 % excercises/exam

Lecturer's references

ssit. 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: 1VV107

Year of study: 1

Semester: 2

Course principal:

Lecturer:

Assistant:

ECTS: 3

Workload:

  • Lectures: 15 hours
  • Exercises: 25 hours
  • Seminar: 5 hours
  • Individual work: 45 hours

Course type: lectures, tutorials

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