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JuliaTeachingCTU · Sep 22, 2022 · b1c1be1 · b1c1be1
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diff --git a/docs/src/index.md b/docs/src/index.md
@@ -40,7 +40,7 @@ including lecture notes, lab instructions, and homeworks. The official format
 of the course is 2+2 (2h lectures/2h labs per week) for 4 credits.
 
 The official course code is: **B0M36SPJ** and the timetable for the winter semester
-2021 can be found [here](https://fel.cvut.cz/cz/education/rozvrhy-ng.B221/public/html/predmety/69/85/p6985906.html).
+2022 can be found [here](https://fel.cvut.cz/cz/education/rozvrhy-ng.B221/public/html/predmety/69/85/p6985906.html).
 
 The course will be graded based on points from your homework (**max. 20 points**)
 and points from a [final project](@ref final_project) (**max. 30 points**).

diff --git a/docs/src/installation.md b/docs/src/installation.md
@@ -2,7 +2,7 @@
 In order to participate in the course, everyone should install a recent version of Julia together with some text editor of choice. Furthermore during the course we will introduce some best practices of creating/testing and distributing your own Julia code, for which we will require a GitHub account.
 
 ## Julia IDE
-There is no one way to install/develop and run Julia, which may be strange users coming from MATLAB, but for users of general purpose languages such as Python, C++ this is quite common. As of 2020 the most widely adopted way is in combination with the [VSCode](https://code.visualstudio.com/) editor, for which there is an officially supported Julia [extension](https://www.julia-vscode.org/). Moreover this setup is the same as with our bachelor [course](https://github.com/JuliaTeachingCTU/Julia-for-Optimization-and-Learning), which has provided an extensive tutorial mainly in case of installation on Windows machines, [here](https://juliateachingctu.github.io/Julia-for-Optimization-and-Learning/stable/installation/julia/). If you are using any other supported platform, you can use the guide as well replacing some steps with your system specifics (having the `julia` executable in path or as an alias is a plus). When deciding which version to download we recommend the latest stable release as of August 2021, `1.6.x`, which has some quality of life improvements mainly with regards to readability of error messages. 
+There is no one way to install/develop and run Julia, which may be strange users coming from MATLAB, but for users of general purpose languages such as Python, C++ this is quite common. As of 2020 the most widely adopted way is in combination with the [VSCode](https://code.visualstudio.com/) editor, for which there is an officially supported Julia [extension](https://www.julia-vscode.org/). Moreover this setup is the same as with our bachelor [course](https://github.com/JuliaTeachingCTU/Julia-for-Optimization-and-Learning), which has provided an extensive tutorial mainly in case of installation on Windows machines, [here](https://juliateachingctu.github.io/Julia-for-Optimization-and-Learning/stable/installation/julia/). If you are using any other supported platform, you can use the guide as well replacing some steps with your system specifics (having the `julia` executable in path or as an alias is a plus). When deciding which version to download we recommend the latest stable release as of September 2022, `1.8.x`. 
 
 Note that this setup is not a strict requirement for the lectures/labs and any other text editor with the option to send code to the terminal, such as Sublime Text, Vim+tmux or Atom will suffice (a major convenience when dealing with programming languages that support interactivity through a Read-Eval-Print Loop - REPL).
 

diff --git a/docs/src/lecture_01/basics.md b/docs/src/lecture_01/basics.md
@@ -57,7 +57,7 @@ Function properties:
 - return value 
   -  the last line of the function declaration, 
   - ```return``` keyword
-- zeros cost abstraction
+- zero cost abstraction
 
 ### Different style of writing code