Summer School in Ecological Data Analysis - EcoDAR2017
Topics that will be covered in the Summer School include:
Topic 1: Introduction to R Software and Programming Language with Practicals.
Topic 2: Classic Statistical Methods (e.g. Hypothesis Testing, , Linear Regression) with Practicals.
Topic 3: Advanced Statistical Methods (e.g. Multivariate Data Analysis, GAMs, GLMMs, Mixed Effects Models, Non-Linear Models) with Practicals.
Topics 4: Case-studies in Ecology.
Programme
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Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
|---|---|---|---|---|---|---|
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9-10 |
R basics (Besbeas) |
Graphics in R (Besbeas) |
Field Trip |
Hypothesis Testing & multi-model inference (Gimenez) |
Mixed Effects Models (Gimenez) |
Practicals –Multivariate Data Analysis (Kavroudakis) |
|
10-11 |
Data Objects: Vectors, Matrices, Lists (Besbeas, Kokkoris) |
Graphics in R (Besbeas) |
Field Trip |
Hypothesis Testing & multi-model inference (Gimenez) |
Practicals – Mixed Effect Models (Gimenez) |
Practicals – Multivariate Data Analysis (Kavroudakis) |
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|
Coffee break |
Coffee break |
|
Coffee break |
Coffee break |
Coffee break |
|
11-12 |
Data Objects: Vectors, Matrices, Lists (Besbeas, Kokkoris) |
Linear Regression (Besbeas) |
Field Trip |
Distributions, probabilities, and likelihoods (Gimenez) |
Practicals – Mixed Effect Models (Gimenez) |
Summer School evaluation questionnaire (Dimitrakopoulos, Kokkoris) |
|
12-13 |
Data Input (Besbeas, Fyllas) |
Linear Regression (Besbeas) |
Field Trip |
Generalized Linear Models, (GLMs) (Gimenez) |
Non-Linear Regression (Besbeas) |
Students’ Evaluation (Kokkrois, Besbeas) |
|
13-14 |
Statistical Functions (Besbeas) |
Practicals - Linear Regression (Besbeas) |
Field Trip |
Practicals – Generalized Linear Models, (GLMs) (Gimenez) |
Non-Linear Regression (Besbeas) |
Students’ Evaluation (Kokkoris, Gimenez) |
|
14-15 |
Lunch |
Lunch |
Lunch |
Lunch |
Lunch |
End of Summer School |
|
15-16
|
Statistical Functions (Besbeas) |
Programming in R (Tsirtsis) |
Field Trip |
Generalized Additive Models (GAMs) (Gimenez, Besbeas) |
Practicals – Non-Linear Regression (Besbeas) |
|
|
|
Coffee break |
Coffee break |
Field Trip |
Coffee break |
Coffee break |
|
|
16-17 |
Data Analysis (Besbeas) |
Programming in R (Tsirtsis)
|
Field Trip |
Generalized Additive Models (GAMs) (Gimenez) |
Multivariate Data Analysis (Kavroudakis)
|
|
|
17-18 |
Data Analysis (Besbeas) |
Programming in R (Tsirtsis)
|
Field Trip |
Practicals - Generalized Additive Models (GAMs) (Gimenez) |
Multivariate Data Analysis (Kavroudakis) |
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