Lectures
The course lectures are on Thursdays at 8.15-10.00, usually in lecture hall E of Undergraduate Centre (Otakaari 1). See below for details and exceptions. Changes are possible.
In column "Planned topic", you find the slides for the planned lecture. Actual lectures may run faster or slower. If the actual lectures are lagging behind, you may want to read the slides on your own, for example, if you need tools for the exercises.
Lecture plan
Lecture | Day (room) |
Planned topic, slides |
Note |
Lecture slides updated |
Example code |
---|---|---|---|---|---|
L1 |
9.1. |
Descriptive statistics |
9.1. |
L1 code | |
L2 | 16.1. |
Confidence intervals and hypothesis testing |
Slide sections 3&4 (t and var tests) were left for next lecture. Extra slides for a parametric CI example. |
16.1. | L2 code |
L3 | 23.1. hall D |
Non-parametric tests |
We started from t tests (see above) and got to the end of nonparametric tests (more or less). |
23.1. |
L3 code |
L4 |
30.1. |
Inference for binary data |
Self-study from slides and code. (Lecture cancelled) |
28.1. | L4 code |
L5 |
6.2. |
Distribution tests |
5.2. |
L5 code | |
L6 |
13.2. |
Correlation and dependence |
12.2. | L6 code | |
L7 |
27.2. |
Linear regression I |
27.2. |
L7 code | |
L8 |
5.3. |
Guest lecture (real-world statistics) |
Details of simple linear regression (blackboard, no slides). Kernel regression / local linear regression. Guest lecture by Elina Numminen (EnvStat, Univ of Helsinki) |
L8 code | |
L9 |
12.3. |
Linear regression II |
L9 code | ||
L10 |
19.3. |
Linear regression III |
Slides for CV extra example. Lecture video: part1, part2, part3. |
19.3. |
L10 code |
L11 |
26.3. |
ANOVA |
Lecture video: part1, part2,
part3, part4. |
26.3. | L11 code |
L12 | 2.4. |
Summary lecture or TBA |
No lecture; self-study with R examples recommended (see on the right) |
L12 code |