Statistics with R

Author: abumadsen

Created: 2024-01-26 10:04pm

Edited: 2024-02-17 03:24am

Description:

Intended Learning Outcomes:

Formulate and realise a simple project in behavioural biology by developing a scientific hypothesis and test its predictions, and test it by analyses of data, and placing it in a theoretical context

Resources	Tasks		Supports
Out of class session 1
Brightspace survey on motivation and skills	Complete survey and reflect on own motivation skills ↓	←	Welcome text on bright space wall
Slides introduction to dataset/problem	Watch and reflect on the problem, download data and R-templates ↓	←	Welcome text on bright space wall

In class session 1
Slides introduction on bright space and coding template scaffolding their task	Hands-on programming in pairs/trioes: Build hypothesis, analyse, interpret results ↓	←	Short monologues in between programming: Start: Why we need stats and todays problem After break: Real life example of similar statistical problem End: Who am I - why I know stats In between monologues I and helpers walk around in class and provide feedback/help
Anonymous quiz on bright space	5 min: Asses and reflect on own progress ↓	←	Oral introduction
Slide	2 min: reflect on what should be repeated in session 4 or something that sparked their interest. Write it down and keep it. ↓	←	Oral introduction to session 4

Out of class session 2
Slides introduction to dataset/problem and stat methods we will use	Watch and reflect on the problem, download data and R-templates ↓	←	Text on brightspace wall
In class session 2
Slides introduction on bright space and coding template scaffolding their task	Hands-on programming in pairs/trioes: Build hypothesis, analyse, interpret results. New: report results ↓	←	Short monologues in between programming: Start: Need for skills in future research project, todays problem and methods After break: Real life example of similar statistical problem End: More example or plenum discussion of method or ?? In between monologues I and helpers walk around in class and provide feedback/help
Anonymous quiz on bright space	5 min: Asses and reflect on own progress ↓	←	Oral introduction
Slide	2 min: reflect on what should be repeated in session 4 or something that sparked their interest. Write it down and keep it. ↓	←	Oral introduction to session 4

Out of class session 3
Slides introduction to dataset/problem and stat methods we will use	Watch and reflect on the problem, download data and R-templates ↓	←	Text on brightspace wall

In class session 3
Slides introduction on bright space and coding template scaffolding their task	Hands-on programming in pairs/trioes: Build hypothesis, analyse, interpret results, report results New: write methods ↓	←	Short monologues in between programming: Start: Todays problem and methods After break: Real life example of similar statistical problem End: More example or plenum discussion of method or ?? In between monologues I and helpers walk around in class and provide feedback/help
Anonymous quiz on bright space, including feedback on what should be repeated in session 4	10 min: Asses and reflect on own progress ↓	←	Oral introduction
Out of class session 4
Brightspace survey on motivation	Complete survey and reflect on where motivation comes from ↓	←	Text on bright space wall
Slides introduction to dataset/problem and stat methods we will use	Watch and reflect on the problem, download data and R-templates ↓	←	Text on brightspace wall

In class session 4
Depends on feedback in end of session 3	Depends on feedback in end of session 3	←	Depends on feedback in end of session 3