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en:teaching:subjects:it [2020/03/06 01:39]
admin [Lectures]
en:teaching:subjects:it [2020/03/27 13:05] (current)
admin [Lectures]
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 ====== Information technology ====== ====== Information technology ======
 +
  
 ===== Studies in English ===== ===== Studies in English =====
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 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]]\\ 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 ===== ===== Course description =====
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 link in the toolbox in the left panel. link in the toolbox in the left panel.
 ===== Lectures ===== ===== Lectures =====
-^ No     ^ Content ​   ^ 
-| 1 | Information technology overview. ​ Course aim and scope. ​   Computer as a work, research and study tool. Limitations of computing. {{:​en:​teaching:​subjects:​it:​a02_lecture01_rp.pdf|Slides}}| ​ 
-| 2 | Overview of computer operating systems. Basic introduction to GNU/Linux. {{:​en:​teaching:​subjects:​it:​a02_lecture02_rp.pdf|Slides}} ​ {{:​en:​teaching:​subjects:​it:​questions02.pdf|Questions}}| 
-| 3 | Introduction to Octave. {{:​en:​teaching:​subjects:​it:​a02_lecture03_rp.pdf|Slides}}| 
-| 4 | Elements of computer programming. ​ Programming languages. Execution of computer programs. Compilers and interpreters.{{:​en:​teaching:​subjects:​it:​a02_lecture04_rp.pdf|Slides}} ​ | 
-| 5 | Major generic kinds of statements in imperative languages. {{:​en:​teaching:​subjects:​it:​a02_lecture05_rp.pdf|Slides}}| ​ 
-| 6 | Introduction to algorithmic problem solving. ​ Basic algorithms for sequences of numbers: summation, extreme elements, sub-sequences.{{:​en:​teaching:​subjects:​it:​a02_lecture06_rp.pdf|Slides}} | 
-| 7 | Plotting and 3D graphics in Octave. {{:​en:​teaching:​subjects:​it:​a02_lecture07_rp.pdf|Slides}} | 
-| 8 | Extension packages for Octave {{:​en:​teaching:​subjects:​it:​a02_lecture08_rp.pdf|Slides}}| 
-| 9 | Representation of computer data.  ASCII and UNICODE. Text files versus binary files. {{:​en:​teaching:​subjects:​it:​a02_lecture09_rp.pdf|Slides}}| ​ 
-| 10 | Number systems and representations. Computer arithmetic. ​ The IEEE 754 standard for binary floating point arithmetic {{:​en:​teaching:​subjects:​it:​a02_lecture10_rp.pdf|Slides}}| 
-| 11 | Basic algorithms and data structures. Scalars, arrays and lists. {{:​en:​teaching:​subjects:​it:​a02_lecture11_rp.pdf|Slides}}| 
-| 12 | More advanced algorithms. Recursion | 
-| 13 | Sources of errors in computer programs | 
-| 14 | Sources of errors in computer programs (cont.) | 
-| 15 | Computer systems in scientific and engineering applications. ​       | 
  
 {{tablelayout?​colwidth="​80px,​260px,​500px"&​rowsHeaderSource=3&​float=center}} {{tablelayout?​colwidth="​80px,​260px,​500px"&​rowsHeaderSource=3&​float=center}}
 ^ Lecture ^ Title  ^ Content ​                                       ^ ^ 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. | | 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. | |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. |
- 
 | 6       | Introduction to geometric modeling ​ | Geometric models and their representations. B-Rep i CSG. \\ Meshes as data structures. Basic geometric transformations. \\ Selected tools: GMSH, OpenScad, Blender. ​                          | | 6       | Introduction to geometric modeling ​ | Geometric models and their representations. B-Rep i CSG. \\ Meshes as data structures. Basic geometric transformations. \\ Selected tools: GMSH, OpenScad, Blender. ​                          |
 | 7                                                                                                                                                              | Overview of software engineering ​ | Repositories. Git, GitHub. Documenting code. Markdown. \\ Linux environment. Automating repetitive tasks.\\ Software licences. ​                                               | | 7                                                                                                                                                              | Overview of software engineering ​ | Repositories. Git, GitHub. Documenting code. Markdown. \\ Linux environment. Automating repetitive tasks.\\ Software licences. ​                                               |
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 ~~UP~~ ~~UP~~
  
-===== Lab assignments=====+===== Computer labs =====
 ^ No    ^ Title          ^ ^ No    ^ Title          ^
 | 1    | [[en:​teaching:​subjects:​it:​labs:​lab1|Introduction to GNU/Linux operating system]] | | 1    | [[en:​teaching:​subjects:​it:​labs:​lab1|Introduction to GNU/Linux operating system]] |
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 ==== Primary readings ==== ==== Primary readings ====
  
-~~REFNOTES~~+  * Primer, MathWorks, 2019 [[https://​www.mathworks.com/​help/​releases/​R2019b/​pdf\_doc/​matlab/​getstart.pdf|PDF]] 
 +  *  David Houcque, ​ Introduction to Matlab for Engineering Students, Northwestern University, 2005, [[https://​www.mccormick.northwestern.edu/​documents/​students/​undergraduate/​introduction-to-matlab.pdf|PDF]] 
 +  * Tony Gaddis, Starting out with Python, Pearson, 2017 (4th edition) 
 + 
  
 ==== Additional readings ==== ==== Additional readings ====
-<BIBTEX: file=it_additional_readings style=chicago>​ + 
-<​texit>​ +  ​* W. GanderLearning MATLAB. A problem Solving ApproachSpringer, 2015 
-\begin{enumerate} +  * K.D Lee, Python Programming Fundamentals,​ Springer, 2011 
-\item  Octave homepage2010\url{http://​www.gnu.org/​software/​octave/​} +  ​* J. D. Foley et alComputer Graphics: Principles ​and PracticeAddison Wesley; 3rd Edition, 2013 
-\item  ArthurLowell Jay and BurnsTed. 1998Unix - programowanie w ShelluZakad Nauczania Informatyki "​Mikom"​. +  * DMBourg, Physics for Game Developers, O'​Reilly,​ 2001 
-\end{enumerate} +
-</​texit>​+
 ---- ----
 ~~UP~~ ~~UP~~
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