Commit 1a2836a3 authored by Jamie Forth's avatar Jamie Forth

t10 quiz twiddles

parent fa2ee400
......@@ -38,6 +38,9 @@ nottype=incollection, nottype=inproceedings, nottype=manual]
#+end_export
** CANCEL Introduction
Use text description for now.
** Lesson 1 – Scientific visualisation
*** Video 1 – Scientific visualisation
:PROPERTIES:
......@@ -273,6 +276,11 @@ TBC
TBC
*** Quiz – Information vs scientific visualisation
{{{quiz-intro}}}
{{{quiz-ref(video 1)}}}
**** Definition
:PROPERTIES:
:QUESTION_TYPE: multiple choice
......@@ -771,6 +779,12 @@ TBC
- Don’t go 3D
*** Quiz – 3D plotting
{{{quiz-intro}}}
{{{quiz-ref(video 2\, \citetitle{Matplotlib3d} and \citetitle[chapter
26]{Wilke2019})}}}
**** Appropriate uses of 3D
***** Bad pie
:PROPERTIES:
......@@ -1167,6 +1181,10 @@ TBC
:header-args:jupyter-python+: :exports both
:END:
{{{quiz-intro}}}
{{{quiz-ref(video 3 and \citetitle{vispyDoc})}}}
**** Usefulness
:PROPERTIES:
:QUESTION_TYPE: multiple choice
......@@ -1523,6 +1541,11 @@ TBC
- magnetic: strength (magnitude) and direction (x, y, z component vector)
*** Quiz – Multidimensional datasets
{{{quiz-intro}}}
{{{quiz-ref(video 4)}}}
**** Notation: \(n\)
:PROPERTIES:
:QUESTION_TYPE: multiple choice
......@@ -1548,17 +1571,17 @@ scientific data, what is denoted by \(m\)?
\[D_{m}^{n}\]
- [ ] \(n\) is the dimensionality of the dependent variable
- [X] \(n\) is the dimensionality of the independent variable
- [ ] \(n\) is the number of rows of the matrix
- [ ] \(n\) is the number of columns of the matrix
- [ ] \(m\) is the dimensionality of the dependent variable
- [X] \(m\) is the dimensionality of the independent variable
- [ ] \(m\) is the number of rows of the matrix
- [ ] \(m\) is the number of columns of the matrix
**** Example: surface temperature 1
:PROPERTIES:
:QUESTION_TYPE: multiple choice
:END:
What is the dimensionality of the dependent variable (or range) in the
What is the dimensionality of the dependent variable in the
visualisation below?
#+attr_org: :width 300
......@@ -1597,8 +1620,9 @@ What are the independent variables for the visualisation below?
:QUESTION_TYPE: multiple choice
:END:
What is the dimensionality of the independent variable (or domain) in
the visualisation below?
In the following visualisation of both direction and speed of particle
movement in a space, what is the dimensionality of the independent
variable?
#+header: :file ./.ob-jupyter/3d-quiver.svg
#+begin_src jupyter-python
......@@ -1636,18 +1660,18 @@ plt.show()
- [X] 3
- [ ] 4
**** TODO Example: 3D flow 2
**** Example: 3D flow 2
:PROPERTIES:
:QUESTION_TYPE: multiple choice
:END:
What is the dimensionality of the dependent variable (or range) in the
visualisation below?
In the following visualisation of both direction and speed of particle
movement in a space, what is the dimensionality of the dependent
variable?
#+attr_org: :width 300
#+attr_latex: :width .6\textwidth
[[file:.ob-jupyter/3d-quiver.svg]]
#+latex: \source{
\textcite{Matplotlib3d}
#+latex: }
......@@ -2114,6 +2138,16 @@ TBC
TBC
*** Essential reading – \citetitle[chapter 5]{Telea2015}
:PROPERTIES:
:ACTIVITY_TYPE: book
:EFFORT: 1:30
:END:
\fullcite[chapter 5]{Telea2015}
- Scalar Visualization
*** Video 6 – Vector fields
:PROPERTIES:
:export_file_name: export/10-slides+scripts/dv-10-6-vector-fields
......@@ -2239,18 +2273,23 @@ both the direction and speed of the wind, and the color scale
indicates the height at which the wind is detected.
*** Quiz – Scalar fields and vector fields
{{{quiz-intro}}}
{{{quiz-ref(video 5 and video 6)}}}
**** Scalar field
:PROPERTIES:
:QUESTION_TYPE: multiple choice
:END:
Fill in the blank. A scalar field is a field where there ____
associated with every point in space.
Fill in the blank. A scalar field associates ____ with every point in
a space.
- [X] is a single number
- [ ] is a coordinate
- [ ] are multiple values
- [ ] is a different scale
- [X] single numbers
- [ ] coordinates
- [ ] multiple values
- [ ] different scales
**** Scalar field
:PROPERTIES:
......@@ -2285,30 +2324,35 @@ Which statement is false?
:QUESTION_TYPE: multiple choice
:END:
What dimensionality is required of the independent variable (or
domain) of a scalar field in order to visualise an isosurface?
What dimensionality is required of the independent variable of a
scalar field in order to visualise an isosurface?
- [ ] 1
- [ ] 2
- [X] 3
- [ ] 4
*** Essential reading – \citetitle[chapter 5]{Telea2015}
**** Vector field
:PROPERTIES:
:ACTIVITY_TYPE: book
:EFFORT: 1:30
:QUESTION_TYPE: multiple choice
:END:
\fullcite[chapter 5]{Telea2015}
Which of the following is true?
- Scalar Visualization
- [ ] A vector field has multiple values but only at a single point in
a space.
- [X] A vector field has multiple values which are specified at every
point in a space.
- [ ] A vector field is a single value specified at every point in a
space.
- [ ] A vector field has different variables specified at different
points in a space
*** Further reading – \citetitle{Liao2004}
\fullcite{Liao2004}
*** TODO Code examples from the lectures
** Topic summary
This final topic in data visualisation has introduced scientific data
......
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