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__TOC__
 
__TOC__
  
This course teaches the students the basics of programming using Python programming language. It focuses on fundamental concepts of programming like for example if statements, while cycle, for cycle, variables etc. This course also puts emphasis on concepts useful for students of cognitive science including numerical computations using NumPy, visualizations or basics of machine learning techniques using artificial neural networks.
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This course teaches the students the basics of programming and algorithmic thinking using Python programming language. It focuses on fundamental concepts of programming like for example if statements, while cycle, for cycle, variables etc. This course also puts emphasis on concepts useful for students of cognitive science including numerical computations using NumPy, plotting with MatPlotLib and optionally with basics of machine learning at the end.
  
 
== Course schedule ==
 
== Course schedule ==
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== Syllabus ==
 
== Syllabus ==
 
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* Introduction: what is programming? Basic concepts
{| class="alternative table-responsive"
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* Variables, basic types, console input/output, my first program
!Date
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* Control flow: if, for, lists, strings and formatting
!Topic
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* Writing programs: functions and modules, values vs. references
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* Collections (list, tuple, set, dictionary), working with files
|21.09.
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* Exceptions, working with files and directories
|Organization and Introduction. Interactive shell, hello world.
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* Object-oriented programming, trees, *recursion
|-
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* Numpy. and Matplotlib
|28.09.
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* Machine Learning and ANN: basics and libraries
|Expressions, variables, if statements, logic, strings, console input/output.
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|-
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|05.10.
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|While cycle, for cycle, lists, list comprehensions.
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|-
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|12.10.
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|Dictionaries, sets, objects.
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|-
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|19.10.
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|Functions, arguments and scopes.
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|-
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|26.10.
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|TBA
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|-
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|02.11.
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|''Holiday.''
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|-
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|09.11.
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|TBA
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|-
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|16.11.
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|TBA
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|-
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|23.11.
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|TBA
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|-
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|30.11.
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|TBA
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|-
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|7.12.
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|TBA
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|-
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|14.12.
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|TBA
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|}
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== Course grading ==
 
== Course grading ==

Revision as of 19:35, 24 August 2021

Fundamentals of Programming 2-IKV-105

Course information sheet

This course teaches the students the basics of programming and algorithmic thinking using Python programming language. It focuses on fundamental concepts of programming like for example if statements, while cycle, for cycle, variables etc. This course also puts emphasis on concepts useful for students of cognitive science including numerical computations using NumPy, plotting with MatPlotLib and optionally with basics of machine learning at the end.

Course schedule

Type Day Time Room Lecturer
Lecture Monday 10:40 MS Teams Kristína Malinovská
Labs Monday 12:20 MS Teams Kristína Malinovská

Syllabus

  • Introduction: what is programming? Basic concepts
  • Variables, basic types, console input/output, my first program
  • Control flow: if, for, lists, strings and formatting
  • Writing programs: functions and modules, values vs. references
  • Collections (list, tuple, set, dictionary), working with files
  • Exceptions, working with files and directories
  • Object-oriented programming, trees, *recursion
  • Numpy. and Matplotlib
  • Machine Learning and ANN: basics and libraries

Course grading

  • Weekly homework (max. 20 points).
  • Final project (max. 30 points).
  • Bonus assignments (max. 5 points).
  • Overall grading: A (50-46), B (45-41), C (40-36), D (35-31), E (30-26), Fx (25-0).

Homework