Financial engineering consist in the development and application of financial models, algorithms, and other mathematical tools to solve complex financial problems, for example: analyze and manage credit and financial risks, design and value financial instruments, and optimize investment portfolios.
This application contains most of the core concepts, formulas and methods of financial mathematics such as: present and future values, simple interest, compound interest, gradients (both arithmetic and geometric), annuities and perpetuity.
Data graphs allow us to inspect, clean, transform, and model data in order to discover useful information, reach relevant conclusions, and support decision-making processes.
This demo page contains different types of data graphs that allows us to:
1. Define data analysis objectives
2. Establish clear measurement priorities
3. Collect data
4. Analyze data
5. Interpret results
The main objective of biosafety protocols is to guide companies and society on general biosafety measures to reduce the risk of transmission of COVID-19 or coronavirus.
This free-to-use application allows companies to audit each checklist item and establish an action plan to implement the necessary corrective measures.
Illustrated dictionary containing 520 frequently used words, organized into groups and programmed with images and sounds.
The system allows the student to practice with sound, reading, writing and combined exercises; while the system stores and uses relevant data from monitoring his progress.
Meat School is the leading meat industry program, developed by the University of Texas International Center for Food Industry Excellence.
In its first virtual edition, I have the honor of being the provider of the selected digital learning platform and developer of the required academic information systems.
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Poultry School By Texas Tech University
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Maps and Statistical Graphs
Online Data Visualization Tools
Data can be quickly collected, processed and analyzed and communicated effectively.
This presentation brings together various statistical graphs of aggregated big data.
