Add week02 slides

Author: mryab

README.md

@@ -7,7 +7,9 @@ __This branch corresponds to the ongoing 2025 course. If you want to see full ma
 - [__Week 1:__](./week01_intro) __Introduction__
   - Lecture: Course overview and organizational details. Core concepts of the GPU architecture and CUDA API.
   - Seminar: CUDA operations in PyTorch. Introduction to benchmarking.
-- __Week 2:__ __Experiment tracking, model and data versioning, testing DL code in Python__
+- [__Week 2:__](./week02_management_and_testing) __Experiment tracking, model and data versioning, testing DL code in Python__
+  - Lecture: Experiment management basics and pipeline versioning. Configuring Python applications. Intro to regular and property-based testing.
+  - Seminar: Example DVC+Weights & Biases project walkthrough. Intro to testing with pytest.
 - __Week 3:__ __Training optimizations, profiling DL code__
 - __Week 4:__ __Data-parallel training and All-Reduce__
 - __Week 5:__ __Sharded data-parallel training, distributed training optimizations

week02_management_and_testing/README.md

@@ -1,14 +1,14 @@
 # Week 2: Experiment tracking and testing
 
-[//]: # (* Lecture:   [slides](./lecture.pdf))
-* Lecture: TBD
+* Lecture: [link](./lecture.pdf)
 * Seminar: see the [example_project](./example_project) directory
 * Homework: see [homework/README.md](homework/README.md)
 
 ## Further reading
 * Tools for experiment tracking: [Aim](https://github.com/aimhubio/aim), [Comet](https://www.comet.ml/site/), [Neptune](https://neptune.ai/), [Sacred](https://github.com/IDSIA/sacred), [Weights and Biases](https://wandb.ai/), [ClearML](https://clear.ml/)
 * [DVC](https://dvc.org/) and [Pachyderm](https://www.pachyderm.com/) for artifact versioning
 * [Hydra documentation](https://hydra.cc/docs/intro/)
+* [Omegaconf](https://github.com/omry/omegaconf) for simpler configuration management
 * [Unittest](https://docs.python.org/3/library/unittest.html) built-in module
 * [Doctest](https://docs.python.org/3/library/doctest.html) built-in module (useful for testing docstrings!)
 * [Pytest](https://github.com/pytest-dev/pytest/) repository