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Computing Workshop

General data

Course ID: 1100-1F16
Erasmus code / ISCED: 11.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Computing Workshop
Name in Polish: Pracownia komputerowa
Organizational unit: Faculty of Physics
Course groups:
ECTS credit allocation (and other scores): (not available) Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Main fields of studies for MISMaP:

physics

Prerequisites (description):

The course is targeted at students who have little experience in using computers.

Mode:

Classroom

Short description:

The lecture is focused on the design and operating principles of a computer system, typical representations of data, standard file formats and file storage methods, and basic information about operating systems.

The laboratory workshops are devoted to using the Linux command line interface to interact with a computer, preparing documents with LaTeX, representing data in a graphical form with the help of specialized software (SciDavis) and programming in Python and Wolfram Mathematica.

Full description:

A rough outlook of the course

1. Semiconductor technology standing behind construction of modern computers

2. Data representations.

a) Integers, unsigned and two's complement integers.

b) Non-integer numbers and floating point representations.

c) Characters, character sets, ASCII, ISO-8859, code pages and Unicode.

3. Command line in a Linux system

a) UNIX shell as a command interpreter.

b) Running programs and basic system tools.

c) File and directory management, access rights management.

d) Processing text data – simple editors, streams.

4. Introduction to artificial intelligence systems

5. LaTeX basics

a) Text documents in LaTeX, writing source code, compilation of source code

b) Mathematical formuale in LaTeX.

c) Creating tables, adding plots, formatting, references, indexes and tables.

6. Usage of program Mathematica: symbolic and numerical computation, function defining, fitting of the experimental data with a theoretical curve, preparation of the plots.

Bibliography:

1. Peter Norton, Harley Hahn, Petera Nortona przewodnik po Unix-ie

(Wydawnictwo PLJ, Warszawa 1993).

2. Tobias Oetiker, Nie za krótkie wprowadzenie do systemu LaTeX (http://texdoc.net/texmf-dist/doc/latex/lshort-polish/lshort2e.pdf)

Learning outcomes:

Students who complete the course will know how computers and computer networks work, understand standard representations of data and common data file formats, know how to operate the command line in a Linux system, how to use LaTeX and how to create function graphs and process experimental data using programming languages such as Python and Wolfram Mathematica

Assessment methods and assessment criteria:

- 4 practical tests to be carried out using a computer.

- test on the last lecture

Practical placement:

None.

This course is not currently offered.
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
contact accessibility statement USOSweb 7.0.3.0 (2024-03-22)