5. Accurately Compute Exponential Moving Averages in Pandas and Python
by In our previous post, we have explained how to compute simple moving averages in Pandas and Python. In this post, we explain how to compute …
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4. Simple moving averages of stock time-series in Pandas and Python
In this tutorial, we will learn how to Download and save stock time-series in Pandas and Python. Compute a simple moving average of time series …
Optical Aberrations and Zernike Coefficient Computations in COMSOL Multiphysics
In the video tutorial that is given below, we explain how to compute optical aberrations and Zernike coefficient computations in COMSOL Multiphysics. We briefly describe …
3. Download and analyze stock prices and stock time series in Pandas and Python
This is the third post in a series of posts on time series modeling and analysis in Python. In this post, we will learn how …
2. Introduction to Pandas structures: Series and DataFrame structures
This post is a sequel of the post on time series analysis in Python. In this post, we introduce two Pandas structures that are important …
1. Introduction to Time Series Analysis in Python
This is our first post in a series of posts on time series analysis in Python. In this post, we explain how to generate random …
Final Exam – ENS100
General remarks On the first page of your exam, clearly write your name, your student ID number, and the name of the class (ENS100). You …
Control Systems Lecture: Basic Principles of Feedback Control
In this post, we explain basic principles of feedback control method. The video accompanying this post is given below. In our previous post (see this …
Test 3
1.) Write a working MATLAB code that will compute the solution of the following nonlinear equation: (1) using the MATLAB fsolve() function. 2.) Using …
Control Systems Lecture: Open-Loop Control with MATLAB Simulations
In this post, we introduce an open-loop control approach. We also introduce MATLAB codes that can be used to simulate the dynamics of a system …