diff --git a/notes/environment-set-up.md b/notes/environment-set-up.md
index 2d385f5..eff30e2 100644
--- a/notes/environment-set-up.md
+++ b/notes/environment-set-up.md
@@ -273,7 +273,7 @@ This will change the code in the working directory to the current state of the c
 You should make sure you are on the first lab branch now by running:
 
 ```
-git checkout mlp2021-22/lab1
+git checkout mlp2022-23/lab1
 ```
 
 ## 6. Installing the `mlp` Python package
@@ -433,7 +433,7 @@ Make sure we are on the first lab branch
 
 ```
 cd ~/mlpractical
-git checkout mlp2021-22/lab1
+git checkout mlp2022-23/lab1
 ```
 
 Install the `mlp` package in the environment in develop mode
diff --git a/notes/getting-started-in-a-lab.md b/notes/getting-started-in-a-lab.md
index e952e87..4c1a6ac 100644
--- a/notes/getting-started-in-a-lab.md
+++ b/notes/getting-started-in-a-lab.md
@@ -34,15 +34,15 @@ We are now ready to fetch any updated code from the remote repository on Github.
 git fetch origin
 ```
 
-This should display a message indicate a new branch has been found and fetched, named `origin/mlp2018-9/lab[n]` where `[n]` is the relevant lab number e.g. `origin/mlp2018-9/lab2` for the second lab.
+This should display a message indicate a new branch has been found and fetched, named `origin/mlp2022-23/lab[n]` where `[n]` is the relevant lab number e.g. `origin/mlp2022-23/lab2` for the second lab.
 
 We now need to create and checkout a new local branch from the remote branch fetched above. This can be done by running
 
 ```
-git checkout -b lab[n] origin/mlp2018-9/lab[n]
+git checkout -b lab[n] origin/mlp2022-23/lab[n]
 ```
 
-where again `lab[n]` corresponds to the relevant lab number fetched above e.g. `lab2`. This command creates a new local branch named `lab[n]` from the fetched branch on the remote repository `origin/mlp2018-9/lab[n]`.
+where again `lab[n]` corresponds to the relevant lab number fetched above e.g. `lab2`. This command creates a new local branch named `lab[n]` from the fetched branch on the remote repository `origin/mlp2022-23/lab[n]`.
 
 Inside the `notebooks` directory there should new be a new notebook for today's lab. The notebook for the previous lab will now also have proposed solutions filled in.
 
diff --git a/notes/quota-issue.md b/notes/quota-issue.md
index db09687..cd1cb7c 100644
--- a/notes/quota-issue.md
+++ b/notes/quota-issue.md
@@ -17,13 +17,13 @@ this should clean out the old partially installed packages and reinstall them fr
 
 Your homespace can be accessed from any Informatics computer running DICE (e.g. any of the computers in the [Forrest Hill labs](http://web.inf.ed.ac.uk/infweb/student-services/ito/students/year2/student-support/facilities/computer-labs) which are open-access outside of booked lab sessions or for those who know how to use SSH you can [log in remotely](http://computing.help.inf.ed.ac.uk/external-login)). You can therefore finish your environment set up prior to the next lab if you want though it is also fine to wait till the beginning of the next lab (it will take around 5 minutes to complete the installation).
 
-At this point assuming you ran through the rest of the instructions to clone the Git repository to your homespace and install the `mlp` package (i.e. the instructions from [here](https://github.com/CSTR-Edinburgh/mlpractical/blob/mlp2016-7/lab1/environment-set-up.md#getting-the-course-code-and-a-short-introduction-to-git) on-wards), you should have a fully working environment.
+At this point assuming you ran through the rest of the instructions to clone the Git repository to your homespace and install the `mlp` package (i.e. the instructions from [here](https://github.com/VICO-UoE/mlpractical/tree/mlp2016-7/lab1/notes/environment-set-up.md#getting-the-course-code-and-a-short-introduction-to-git) on-wards), you should have a fully working environment.
 
 Once your environment is set up in all future labs you will only need to activate it to get started. So at the beginning of each subsequent lab we will ask you to do something like the following
 
 ```
 source activate mlp  # Activate the mlp environment
 cd ~/mlpractical  # Change the current directory to mlpractical repository
-git checkout mlp2017-8/lab[...]  # Checkout the branch for this week's lab
+git checkout mlp2022-23/lab[...]  # Checkout the branch for this week's lab
 jupyter notebook  # Launch the notebook server
 ```