**When**: 3rd quartile, at $8$ weeks of $4$ hours per week.**Load**: Total workload is 5 ECTS $\Rightarrow 5\times 28 \text{[hrs/ECTS]} = 140$ hours or $140/32 \approx 4.4$ study hours per lecture.**Web**: http://www.5ssb0.nl (or goto teaching tab at http://biaslab.org )**Feedback**: The source materials for these lecture notes are at https://github.com/bertdv/AIP-5SSB0 . Please file a github issue if something is wrong or just unclear in these notes.

- $4 \times 4=16 $ lecture hours, mostly in February
- Instructor: Bert de Vries, rm. FLUX-7.060 (on Wednesdays)
- email [email protected] (preferred) or [email protected]
- Code examples in Julia
- Consult the
**teaching assistants**Ismail Senoz ([email protected]) or Magnus Koudahl ([email protected]) (both in FLUX-7.060) first for help on Julia code examples or exercises.

- $4 \times 4=16$ lecture hours, mostly in March
- Instructor: Tjalling Tjalkens, rm. FLUX-7.101
- email [email protected]

Suppose you need to develop an algorithm for a complex DSP task. This is what you'll do:

- Choose a set of candidate algorithms $y=H_k(x;\theta)$ where $k \in \{1,2,\ldots,K\}$ and $\theta \in \Theta_k$; (you think that) there's an algorithm $H_{k^*}(x;\theta^*)$ that performs according to your liking.
- You collect a set of examples $D=\{(x_1,y_1),(x_2,y_2),\ldots,(x_N,y_N)\}$ that are consistent with the correct algorithm behavior.

- Using the methods from this class, you will be able to design a suitable algorithm through:
**model selection**, i.e., find $k^*$ (mostly discussed in part 2 of this class)**parameter estimation**, i.e., find $\theta^*$ (mostly in part 1 of this class)

Book (free download link):

Background reading; covers about the same stuff as (mandatory) slides.

- Contains much more material; great for future study and reference.

- Tested material consists of these lecture notes, reading assignments (as assigned in the first cell/slide of each lecture notebook) and exercises (see class website).

- Slides that are not required for the exam are indicated by the word (OPTIONAL) in the header.

- Advice: download (and make free use of) Sam Roweis' cheat sheets for Matrix identities and Gaussian formulas.

**Very strong advice**: Make old exams!

- You are not allowed to use books nor bring printed or handwritten formula sheets to the exam. Difficult-to-remember formulas are supplied at the exam sheet (see old exams).

- You may use a simple pocket calculator, but no smartphones (only arithmetic assistance is allowed.)

- Further exam instructions for part-2 from Tjalling.

In [1]:

```
open("../../styles/aipstyle.html") do f
display("text/html", read(f,String))
end
```

In [ ]:

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```