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--- en:teaching:subjects:it [2020/03/06 01:46]
admin [Primary readings]
+++ en:teaching:subjects:it [2020/03/27 13:05] (current)
admin [Lectures]
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 ====== Information technology ======
 ===== Studies in English =====
@@ Line 5: / Line 6: @@
 This course is a part of an undergraduate programe taught fully in English. For more on studying in English at Cracow University of Technology please visit [[http://www.civ-eng.pk.edu.pl]]\\
+===== Moodle for Information Technology =====
+Experimental module in Moodle can be found at http://elf2.pk.edu.pl/course/view.php?id=2024
 ===== Course description =====
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 {{tablelayout?colwidth="80px,260px,500px"&rowsHeaderSource=3&float=center}}
 ^ Lecture ^ Title  ^ Content                                        ^
-| 1         | Introduction to the course. | Aim and scope. Method of working. Motivation. Requirements. Overview of software tools. Sample problems.|
+| 1         | Introduction to the course. {{ :en:teaching:subjects:it:ti_lecture_01.pdf | PDF}}| Aim and scope. Method of working. Motivation. Requirements. Overview of software tools. Sample problems.|
-| 2         | Introduction to programming. | Processor and program. High level programming languages. Compilation versus interpretation. Overview of popular languages. Introduction to programming in Matlab/Octave. |
+| 2         | Introduction to programming.{{ :en:teaching:subjects:it:ti_lecture_02.pdf | PDF}} | Processor and program. High level programming languages. Compilation versus interpretation. Overview of popular languages. Introduction to programming in Matlab/Octave. |
-| 3         | Diving in Matlab/Octave programming | Pseudocode. Variables and assignment operator. Matrix variables. Conditional statement. Loops. Functions. Programming paradigms: structural object oriented, functional |
+| 3         | Diving into Matlab/Octave | Pseudocode. Variables and assignment operator. Matrix variables. Conditional statement. Loops. Functions. Programming paradigms: structural object oriented, functional |
 | 4         | Data structures and algorithms | Basic data structures: arrays, lists, sets, graphs. Overview of selected algorithms for sequences. Sorting and searching. Matrix algorithms. |
 |5          | Data formats and data processing | Binary code. Data types. Characters, ASCII, code pages, UTF-8. Data formats. HDF5, JSON, XML, CSV. Data visualization. ParaView, Matplotlib, plotting in Matlab and Octave. |