To clone the repository, you need to setup the deploy key first.
Copy the deploy-key to your ~/.ssh/ folder.
Sometimes, you need to explicitly add an entry in the ~/.ssh/config:
Host gitlab.ethz.ch
IdentityFile ~/.ssh/slt2019
IdentitiesOnly yes
Moreover, if you get permission errors, you should reset the permissions:
chmod 640 ~/.ssh/config
chmod 640 ~/.ssh/slt2019
Finally, clone the repository via ssh (not https!):
git clone git@gitlab.ethz.ch:vwegmayr/slt-coding-exercises-19.git
cd slt-coding-exercises-19
Create the conda environment, which contains the basic packages:
conda env create -n slt-ce -f .environment
Activate the environment, and start the notebook:
source activate slt-ce
jupyter notebook slt-ce-0.ipynb
A new browser window with the first exercise should open.
To get the latest exercise, simply pull from the remote repo:
cd slt-coding-exercises-19
git pull origin master
Before you start working on an exercise, you should create a new branch:
git checkout -b 12-345-678/slt-ce-0
The name of the branch should be your-legi-number/slt-ce-i, where i denotes the respective exercise.
The instructions for each exercise can be found directly in the notebook.
Once you are done, encrypt your notebook:
./encrypt.sh slt-ce-0.ipynb
> File encrypted as slt-ce-0.ipynb.encr
Then commit and push the encrypted notebook:
git add slt-ce-0.ipynb.encr
git commit slt-ce-0.ipynb.encr -m "Submit slt-ce-0"
git push origin 12-345-678/slt-ce-0
You can only submit your notebook before the respective deadline.
We accept submissions only via git as described above.
Do not push notebooks which are not encrypted.
We offer 8 exercises. Each submitted exercise is graded between 4 and 6.
For admission to the written exam, you need to receive a grade of 4 in at least five exercises.
The exercise grade is computed as the average of your best five submissions.
The course grade is the weighted average of written exam and exercise (70%/30%).
Exercise grades: 5.5, 5.0, 5.0, 6.0, -, -, -, -
Failed course, submitted only four exercises!
Exercise grades: 5.0, 5.5, 5.0, 4.0, 6.0, 6.0, -, -
Exercise grade = (5.0 + 5.0 + 5.5 + 6.0 + 6.0) / 5 = 5.5
Exam grade = 5.0
Course grade = round(0.3 * 5.5 + 0.7 * 5.0) = 5.25
Hand-Ins are due by noon of the respective hand-in day, and the hand-in period typically starts one week earlier.
Exercises can not be handed in after the deadline, because the server is blocked!
| Exercise | Release | Hand-In | |
|---|---|---|---|
| 0 | Test Submission Process | Feb 18th | Feb 25th 11:59am |
| 1 | Locally Linear Embedding | Feb 25th | Mar 11th 11:59am |
| 2 | Sampling | Mar 11th | Mar 25th 11:59am |
| 3 | Deterministic Annealing | Mar 25th | Apr 8th 11:59am |
| 4 | Histogram Clustering | Apr 8th | Apr 22nd 11:59am |
| 5 | Constant Shift Embedding | Apr 22nd | May 6th 11:59am |