Basics of programming 09-PP-22

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Module learning aims

The aim of the course is to present to students different data structures, methods of algorithm building and analysis of their costs and correctness. The practical usability of programming knowledge in the linguist's work will be shown, above all, the possibilities of the student's further development in this field and aware and creative use of programming tools. The aim of the course is to acquaint the students with fundamentals of creating computer programs and the programming paradigms based the programming languages of lower and higher levels. The students learn how to create, modify and use computer programs which they will be able to use in their linguistic research on text, numerical and audio data.

Major

Linguistics and Information Science

Cycle of studies

1st cycle

Module type

compulsory

Year of studies (where relevant)

Year 1

Learning outcomes

After the course of study is accomplished and the learning outcomes are proved, the student:
- knows the fundamental topics, terms and issues concerning linguistic research in the area of informatics/algorithmics
- knows the essence, forms and functions of the fundamental terminology in the field of computer linguistics and informatics/algorithmics
- has well-ordered general knowledge of computer linguistics and informatics/algorithmics
- has at least basic knowledge of relations between the philological sciences with informatics/programming
- knows the fundamental research and interpretative methods applicable to programming languages and speech technology
- knows how to unaided gain knowledge with the use of dictionaries, lexicons and other traditional and multimedia sources of information in order to solve a programming problem
- can search, analyse, assess and select information from different sources
- can correctly use the gained knowledge in order to formulate and analyse research problems and to justify their choices
- can unaided create simple programs in a scripting language

Assessment criteria

Two practical control tests (i.e. creating 3 simple programmes in a script language) at the end of semester.
Final written exam.
Max. 2 absencies per semester.
Final grade based on the result of the written exam.

Bibliography

Obligatory:
Wirth N. 2002. Algorytmy + struktury danych = programy, WNT, Warszawa.
Wróblewski P. 1996. Algorytmy, struktury danych i techniki programowania, Helion, Gliwice.
Harel D. 2000. Rzecz o istocie informatyki, WNT, Warszawa.
Python – Dokumentacja. http://www.python.org/doc/
Church, K.W. UnixTM for Poets.
Bird, S., Klein, E. Loper, E. 2009. Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit. O'Reilly Media,
Jurafsky, Daniel, and James H. Martin. 2009. Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics. 2nd edition. Prentice-Hall.
Ruslan, M. (Ed.) 2002The Oxford Handbook of Computational Linguistics. Oxford University Press

Additional:
Boduch, A.. 2002. Delphi 6. Ćwiczenia praktyczne. Helion.
Schwartz, R.L, Olson, E., Christiansen, T. 1997. Learning Perl on Win32 Systems. O'Reilly
Friedl, J. 2001. Wyrażenia regularne. Helion. O'Reilly

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 09-PP-22 in USOSweb