In this course, we are going to focus on the following learning objectives: 1. Work with core Python programming tools 2. Become comfortable reading and writing Python scripts By the end of this course, you will have a solid grasp of scripting in Python. You will learn the Pythonic way of many of the core programming concepts. You will be able to read and understand Python scripts in your daily line of work

This course intends to make the student familiar with information security management. When you have finished with this course you will know more about: • Governance: including the mission, roles and responsibilities of the InfoSec governance function, and the strategic planning process and InfoSec’s role in the organization’s strategic planning effort. • You will understand the various types of InfoSec policies and how effective information security policy is created and used. • Risk management and the risk management process • Certain laws and ethical issues impacting information security in the organization. And some common information security management practices such as benchmarking and performance measures.

Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon recommends books? We can get a feel for how it works by building a simplified recommender of our own! In this capstone, you will show off your problem solving and Java programming skills by creating recommender systems. You will work with data for movies, including ratings, but the principles involved can easily be adapted to books, restaurants, and more. You will write a program to answer questions about the data, including which items should be recommended to a user based on their ratings of several movies. Given input files on users ratings and movie titles, you will be able to: 1. Read in and parse data into lists and maps; 2. Calculate average ratings; 3. Calculate how similar a given rater is to another user based on ratings; and 4. Recommend movies to a given user based on ratings. 5. Display recommended movies for a given user on a webpage.

By the end of this project, you will create an application that defines an Employee class and create one to many Employee object instances. Object Oriented programming in languages such as C# is advantageous because it allows the programmer to think in terms of the way people think of the real world, in terms of Objects like employees, airplanes, and homes for example. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

System Validation is the field that studies the fundamentals of system communication and information processing. It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors. It allows to design embedded system behaviour that is structurally sound and as a side effect enforces you to make the behaviour simple and insightful. This means that the systems are not only behaving correctly, but are also much easier to maintain and adapt. ’Model process behaviour' is the follow up MOOC to 'Automata and behavioural equivalences'. This MOOC shows you how to model process behaviour, in particular protocols and distributed algorithms, dive deeper in the properties of system behaviour, and keep things simple to avoid a state space explosion. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014. This course is part 2 of the set of courses for System Validation. System Validation, as a set of courses, is part of a larger EIT Digital online programme called 'Internet of Things through Embedded Systems'.

This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended. At the end of this course you will: - Be familiar with client-side Javascript frameworks and the Angular framework - Be able to implement single page applications in Angular - Be able to use various Angular features including directives, components and services - Be able to implement a functional front-end web application using Angular - Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications - Be able to use Observables and RxJS in the context of Angular applications

This is a self-paced lab that takes place in the Google Cloud console. This lab will show you how to install and run an object detection application. The application uses TensorFlow and other public API libraries to detect multiple objects in an uploaded image.

In course 1 we talked about open source software and the motivation and methods of using it. In course 2, we will introduce you to Linux systems, and help you feel comfortable working at the command line: What Linux is Linux history How to separate the kernel from the entire operating system Making contributions to the kernel Graphical system, and how it works Working at the command line Filesystem layout, partitions Monitoring utilities You will learn what it’s like to work on Linux system, and get a good understanding of the essential skills you need when you work on a daily basis with Linux systems.

The design step in developing software has some unique characteristics. First of all, it’s the only step where drawing pictures of things is the norm. Why is that? What do pictures do that other representations cannot do? Pictures have varying levels of detail; pictures have context. Pictures…paint a picture. Why are these things important? In this course, too, we begin looking at other disciplines (building architecture is a favorite one) for lessons on design.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build an end to end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.