August 31, 2026
Welcome!
Welcome!
Why this class?
Course info
First lecture
Background in statistics and computer science
Research on machine learning and time series processing
Applications in industry and neuroscience
Open-source enthusiast
Avid reader of Spinoza1
Statistics are everywhere!
Fundamental to experimental science
Biology, medicine, physics, you name it!
Business and politics
Heavily influenced by statistics
data science
machine learning
artificial intelligence
Let’s focus on one study: Foramitti et al. (2025)
In the statistical parlance
Similarly, supporting H2a, the monthly average sentiment in popular music lyrics correlated negatively with time (r = −.78, 95% CI [−0.81, − 0.75], p <.001).
around the onset of COVID-19 in the US, the analysis yielded a lower adjusted R² of 0.475. Here, we found a small but significant interaction period × time (β = −0.007, 95% CI [−0.011, −0.003], t (49) = −3.626, p < 0.01) (Supplementary Table S5, Figure S3). However, this effect points in the opposite direction as hypothesized initially
In plain English
From question → data → statistics → conclusions
Complex Technical tools, domain knowledge, and critical thinking
A clear and adequate representation of the world
brings JOY (or empowerment, increase in ability,…)
Class website (link)
Blackboard (link)
Syllabus (link)
| Component | Weight |
|---|---|
| Weekly tests and assignments | 30% |
| Midterm | 30% |
| Final exam | 30% |
| Attendance | 10% |
Bring computers when we have a computer-lab session!
Class materials up before each lecture
Take notes (I’ll help at first)
PRACTICE. PRACTICE! PRACTICE!!
Be curious, ask questions
Basic arithmetics
Fearlessness and curiosity
Kindness (to yourself and others)
Do assignments and class tests alone
Use of LLMs is OK, except when it’s not (specified)
On Mon - Wed - Thur by appointment
Can be short-notice
