Project Planning and Machine Learning (Coursera)

What You Will Learn

- How to staff, plan and execute a project.

- How to build a bill of materials for a product.

- How to calibrate sensors and validate sensor measurements.

- How hard drives and solid state drives operate.

Course 2 of 3 in the Developing Industrial Internet of Things Specialization.

Syllabus

WEEK 1

Project Planning and Staffing

In this module I share with you my experience in product planning, staffing and execution. You will perform a product tear down, write a paper about your tear down and build a bill of materials (BOM) for that product.

WEEK 2

Sensors and File Systems

In this module you will learn about sensors, and in this case, a temperature sensor. You will learn how to calibrate and then validate that a temperature sensor is producing accurate results. We will study how data is stored on hard drives and solid state drives. We will take a brief look at file systems used to store large data sets.

WEEK 3

Machine Learning

In this module we look at machine learning (ML), what it is and how it works. We take a look at a couple supervised learning algorithms and 1 unsupervised learning algorithm. No coding is required of you. Instead I provide working source code to you so you can play around with these algorithms. I wrap up by providing some examples of how ML can be used in the IIoT space.

WEEK 4

Big Data Analytics

In this module you will learn about big data and why we want to study it. You will learn about issues that can arise with a data set and the importance of properly preparing data prior to a ML exercise.