Oral Presentations About Numerical Methods Applications in Engineering and Computer Science
Recommendations:
You must be concise and get to the point.
If you are going to use slides for your speech, you must request a beamer projector in the department or with the coordinator in the Lorica or Sahagún Campus. Each slide must be numbered, using proper font size, and keywords instead of verbose long sentences (avoid reading during your presentation). Your speech must involve just five slides, be aware you just have five minutes. Don't forget to include an additional slide with the literature reference, if you used ChatGPT, don't forget to ask it about the reference that it took into account. Under no circumstances use Prezy, you might use MS PowerPoint, or better yet if you use LaTex and the beamer template. Furthermore, if the background is dark the foreground or letters must be light, and vice-versa.
You mustn't ever miss five points: i) what the problem is about and what its context is, ii) which underlying math problem is dealt with (e.g., integration, data fitting, differential equations, dimensionality reduction, optimization, and so forth) and why it can't be solved through analytical methods, iii) which numerical method (s) is (are) used for solving the problem (just mention them, you mustn't explain them), iv) if the application has a historical context, briefly mention it, or if you are referencing a work published in a journal or conference, you must what both are about it and v) conclude your speech quickly mentioning how this application is used in its context. Spend one minute per point.
Every member of the team must be prepared to present their speech and answer questions as soon as the presentation is finished.
Practice your presentation, because you must stop your speech as soon as five minutes are over, thereby, if you don't take care about the time you might miss some of the five aforementioned points, causing a reduction in your grade.
The clearer the presentation is, the greater the grade will be.
Evaluation criteria:
The appropriate use of supporting speech tools, such as, e.g., slides, whiteboard, marker, and so forth (1 point)
The evidence that you mastered your application subject speech (1 point)
Each of the subject points above-mentioned in the recommendations scores 1 point. Therefore if you miss one of them your score decreases by one.
In the end, you can calculate your grade by dividing your score by seven and multiplying the outcome by five. For instance, if you got a score equal to five, your final grade is 3.57 (i.e., (5 /7) x 5).
Two teams speaking about the same application will attain the minimum grade (zero). For instance, if one team talks about speech recognition and another about image recognition, where in both application subjects deep neural networks are fitted through algorithms based on gradient descent (a numerical method for optimization) both teams are disqualified. All of you were warned about this previously.
If the application can be implemented through analytical math approaches instead of numerical methods, you'll get the minimum grade (zero).
Teams in group M1
Numerical methods applied to static loads and seismic loads: Auder Gonzalez.
The behavior of the financial and economic systems using the Montecarlo simulation method: Andrés Esala, Gustavo Padilla, and Alejandro Páez
GPS-based vehicle navigation using linear interpolation methods: Juan Benitez and Ruben Mora
Multiple linear regression method in the health domain: Elias David Fabra, José Monroy, and Juan Peña
Population dynamics using the Runge-Kutta method: Jesús Galvis, Miguel Ayala, and Andrés Ortega
Underground fluids in the petroleum industry: José Olea, Santiago Montiel, and Juan Jattin
Medical image segmentation using deep learning: Alexander Torres León
Bisecting method for modeling the interaction between nodes in a communication network: Andrés Ramírez, Victor Negrete, and Jairo Cueter.
Numerical simulation of a natural gas oven: Eliana Tordecilla, Johnatan Brito, and José Alvarez