Week 5

The goal of the week is to visualize the principle.

C: Code of the computational experiment

Organize your code so the computational experiment runs every time with results stored. If your experiment run takes a long time, just cut the data set. Do not use big or sophisticated data. Put your efforts in your main message.

1. Set the only main file to run the experiment.
2. Decompose the project code, and write functions and modules.
3. Gather the experiment parameters in a special-purpose section.
   • A text description of the experiment flow helps.
   • A generated-by-comments code helps.
   • Think about testing, unit-tests help.
4. Set a procedure of historical version points to return to the previous experiment.
   • Commit schedule helps.
5. Write named plots to a designated folder.
   • Write your results to a .tex-file and compile.

V: Visualize project

Set the list of plots that will be included in your paper and presentation.

1. Make a plot of the source data.
   • Goal: put notations to the plot.
2. List plots to illustrate with.
3. Make a plot to show the main message.

O*: One-slide talk

Make a one-slide presentation to introduce the main principle of your work.

1. Use the slide template LaTeX, see pdf
2. Set the third slide with
   1. a plot or a diagram,
   2. main keywords or message,
   3. basic notations, and
   4. essential terms.
3. Put the link to the slide in the Result table
4. Prepare a talk up to one minute (1'50" max) long.
5. See examples in the lecture slides.

Tips for your slide

1. Python and Matlab code for plots
2. Elsevier's graphical abstract
3. Visual Abstracts by Everly Ramos and Beatrice Concepcion, 2020 (also see their references)
4. Elsevier's Artwork and media instructions

Don't for your slide

1. Avoid abstract illustrations; it means
   • You can be able to put mathematical notations on any part of your plot
2. Avoid showing complex network architectures:
   • As soon you put a black-box sequence be ready to explain its optimality
3. Avoid advertising style of illustrations:
   • It shall deliver a clear explanation instead of a joyful attraction

Homework

1. Designate a main module with Code. It is easy to run.
2. Plot a figure that carries your message. Put it in the computational experiment (easier), or the introduction (more difficult).
3. Prepare the slides with O-ne slide talk and put it into your repository, put the link to the group table.

Resources

See the font types and sizes, line width, LaTex in the examples

Colab variant

plt.rcParams['font.family'] = 'DejaVu Serif'
plt.rcParams['lines.linewidth'] = 2
plt.rcParams['xtick.labelsize'] = 12#24
plt.rcParams['ytick.labelsize'] = 12#24
plt.rcParams['legend.fontsize'] = 12#24
plt.rcParams['axes.labelsize'] = 16
plt.xlabel('Number of transmitters, N', fontname='DejaVu Serif')
plt.ylabel('Probability', fontname='DejaVu Serif')
plt.legend()
plt.show()

Python with LaTeX variant

plt.rcParams.update({
   "text.usetex": True,            # Use LaTeX for text rendering
   "font.family": "serif",         # Use serif font (default LaTeX font)
   "font.serif": ["Computer Modern"],  # Set specific LaTeX font (optional)
   "axes.labelsize": 14,           # Font size for axis labels
   "axes.titlesize": 16,           # Font size for title
   "legend.fontsize": 12,          # Font size for legend

Save files in .eps, .pdf, at least .png, but not in .jpeg

plt.savefig('fig_title.eps', dpi=300, bbox_inches='tight')

References: TikZ and Beamer

1. The TikZ and PGF Packages: Manual for version 3.1.10, GitHub, by Till Tantau, 2024
2. A Beamer Tutorial in Beamer by Charles T. Batts, 2007
3. User’s Guide to the Beamer Class, and GitHub by Till Tantau, 2004
4. LATEX-beamer Course by Katharina Hoff, 2007