Solar Energy: Photovoltaic (PV) Systems

The course is a eight week course offered by Delft University in EdX platform. The course contents are listed below:

Syllabus :

• Introduction

• Location issues

• PV modules

• Balance of System components

• PV System design & integration

Solar Energy : Integration of Photovoltaic Systems in Microgrids

The course is a eight week course offered by Delft University in EdX platform. The course contents are listed below:

• Difference between a microgrid, a passive distribution grid and a virtual power plant

• Ancillary services provided by microgrids and PV

• Operation of centralized and decentralized control, forecasting, and evaluation of different market policies through a case study

• Operation of active power control and voltage regulation

• Different layouts and topologies of microgrids and power electronic components, and the role of power electronics converters in microgrids

• Microgrid protection, adaptive protection, and the consequences of using a fault current source and fault current limitation

• Main motivations and challenges for the implementation of DC microgrids

Renewable Energy and Green Building Entrepreneurship

The course is a three week course offered by Duke University in Coursera platform. The course contents are listed below:

• case studies of three award-winning examples of renewable energy and green building.

• reasons for the significant growth in the renewable energy and green building sectors and challenges and criticisms of both sectors

• tangible steps for generating, refining, and launching new business ideas, including tips for website, logo, advisory boards, and using helpful tools,

Introduction to Battery-Management Systems

The course is a five week course offered by University of Colorado in Coursera platform. The course contents are listed below:

• important terminology used to describe battery cells and principles of operation of standard electrochemical battery cells

• principal advantages of lithium-ion cells versus standard electrochemical battery cells ,their primary components and how they work.

• BMS sensing and high-voltage control

• protection, interface, performance management

Machine Learning

The course is a eleven week course offered by Stanford University in Coursera platform. The course contents are listed below:

• Week-1: Linear Regression with One Variable ,Linear Algebra Review

• Week-2:Linear Regression with Multiple Variables

• Week-3: Logistic Regression , Regularization

• Week-4:Neural Networks: Representation

• Week-5:Neural Networks: Learning

• Week-6:Advice for Applying Machine Learning , Machine Learning System Design

• Week-7: Support Vector Machines

• Week-8:Unsupervised Learning , Dimensionality Reduction

• Week-9: Anomaly Detection,Recommender Systems

• Week-10: Large Scale Machine Learning

• Week-11: Application Example: Photo OCR

Deep Learning.AI

The course is a four week course offered by Stanford University in Coursera platform. The course contents are listed below:

• Week-1: Introduction to Deep Learning

• Week-2: Neural Networks Basics

• Week-3: Shallow Neural Networks

• Week-4: Deep Neural Networks

Introduction to Data Science in Python

The course is a four week course offered by University of Michigan in Coursera platform. The course contents are listed below:

• Week-1: Fundamentals of Data Manipulation with Python

• Week-2: Basic Data Processing with Pandas

• Week-3: More Data Processing with Pandas

• Week-4: Answering Questions with Messy Data

Programming Foundations with JavaScript, HTML and CSS

The course is a four week course offered by Duke University on Coursera platform. The course contents are listed below:

• Week-1: Designing a Web Page with HTML and CSS

• Week-2: Algorithms and Programming Concepts

• Week-3: JavaScript for Web Pages

• Week-4: Mini-Project: Image Filters on the Web , Steganography

Programming for Everybody(Getting Started with Python)

The course is a seven week course offered by University of Michigan on Coursera platform. The course contents are listed below:

• Week-1: Chapter One - Why we Program?

• Week-2: Installing and Using Python

• Week-3: Chapter One: Why We Program (continued)

• Week-4: Chapter Two: Variables and Expressions

• Week-5:Chapter Three: Conditional Code

• Week-6:Chapter Four: Functions

• Week-7:Chapter Five: Loops and Iteration

Python Data Structure

The course is a seven week course offered by University of Michigan on Coursera platform. The course contents are listed below:

• Week-1: Chapter six - Strings

• Week-2: Chapter seven - Python Installation

• Week-3: Chapter seven - Files

• Week-4: Chapter eight - lists

• Week-5: Chapter nine - Dictionaries

• Week-6: Chapter ten - Tuples

• Week-7: Graduation

Applied Plotting , Charting & Data Representation in Python

The course is a four week course offered by University of Michigan on Coursera platform. The course contents are listed below:

• Week-1: Principles of Information Visualization

• Week-2: Basic Charting

• Week-3: Charting Fundamentals

• Week-4: Applied Visualizations