水力学 | Hydraulics
This Hydraulics course explores the science of hydraulics and focuses on hydrodynamic laws and their applications, which are indispensable and a critical factor in the development and utilization of water resources. 水，是人类生活不可或缺的资源。水力学是人类开发利用水资源的有力工具。本课教你认识和掌握水流静止和运动的力学规律，了解在相关领域的工程应用。
Criptoactivos y finanzas digitales
El curso busca informar a los participantes (mayores de edad) en conceptos como Blockchain, tipos de criptoactivos, Bitcoin, billeteras digitales, centrales de intercambio de criptos y economía descentralizada. El fin del curso es mostrar a la comunidad la nueva generación de uso del dinero en el mundo y que de una manera informada tomen decisiones sobre el manejo de sus activos
Understanding Artificial Intelligence through Algorithmic Information Theory
Can we characterize intelligent behavior?
Are there theoretical foundations on which Artificial Intelligence can be grounded?
This course on Algorithmic Information will offer you such a theoretical framework.
You will be able to see machine learning, reasoning, mathematics, and even human intelligence as abstract computations aiming at compressing information.
This new power of yours will not only help you understand what AI does (or can’t do!) but also serve as a guide to design AI systems.
Photoelectric Instrument Design | 光电仪器设计
This course inherits the classical design theory, tracks the photoelectric technology frontier, faces to the measurement industry application, and teaches you how to design the photoelectric instruments.
Data Processing and Analysis with Excel
Learn to use Excel to organize and clean data so it can be manipulated and analyzed.
Integrating AWS with the SDK
Working as a software engineer means building applications that are secure, scalable and span the globe. Building your applications using AWS web services not only makes this possible, but enables you to build efficiently and cost effectively. Let’s cut down the time from idea to production code by seeing what is possible when you build with AWS.
MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (Azure) – Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
From Fossil Resources to Biomass: A Chemistry Perspective
Explore how to create a sustainable future by moving away from dependence on fossil resources to biomass resources for the production of food, chemicals and energy-carriers. Discover how to use microorganisms and catalysts to create biobased products.
AP® Physics 2 – Part 4: AP Review and Exam Preparation
The final course in a comprehensive series designed to prepare you for the AP Physics 2 exam.
The Data Science Method
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.
