### 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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