Welcome to Introduction to Programming: Visual Basic. In the course sequence you will learn to write programs that utilize both procedural and object oriented techniques to solve business problems. In the first course in the sequence we will provide you with a solid foundation in the computer science topics that are important to understand when programming Visual Basic. In courses two through four, we will role up our sleeves and start coding in Visual Basic. In these courses you need to have access to a computer that is running Windows, macOS or Linux with the .NET 5 installed. We will show you how to install .NET 5.

In this 1.5 hours class you will get up and running on AngularJS and write your first AngularJS app. We will cover the fundamentals of AngularJS, such as modules, the model-controller-view architecture, AngularJS directives, expressions, data model and binding, app controllers, filters, form validation, and tables. At the end of the class, you would have learned the basics of AngularJS and have built a bill splitter app that you can actually use when you go out with your friends! Prerequisite: Basic knowledge of JavaScript, HTML, and CSS.

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java). In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. You will explain how these data structures make programs more efficient and flexible. You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage. The program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data. This is an intermediate Java course, and we will build on your prior knowledge. This course is designed around the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!

Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology. This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how. This course will appeal to teachers who want to increase their general understanding of AI, including why it is important for learners; and/or to those who want to embed AI into their teaching practice and their students’ learning. There is also a unique opportunity to implement a Capstone Project for students alongside this professional learning course. Macquarie School of Education at Macquarie University and IBM Australia have collaborated to create this course which is aligned to AITSL ‘Proficient Level’ Australian Professional Standards at AQF Level 8.

In this course you will: a) understand the basic concept of recommender systems. b) understand the Collaborative Filtering. c) understand the Recommender System with Deep Learning. d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms.

Course Description Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools. To earn an official Alibaba Cloud certificate please join the Cloud Native courses on the Academy's website: Big Data Analysis Specialty: https: //edu.alibabacloud.com/course/317 Machine Learning Specialty: https://edu.alibabacloud.com/course/318 Alibaba Cloud Big Data - Data Integration: https://edu.alibabacloud.com/certification/clouder_bigdatainteg

In this project you will read weather data from a file and populate a Java ArrayList with the file data. The data is then uniquified in a Set data structure and stored in a HashMap for accessing data by year. Java's collections framework contains data structures that are built for efficiency. They are used to store and retrieve data in various formats. A list such as an ArrayList can be used in place of an array to contain data where the size cannot be determined ahead of time. A LinkeList is like an ArrayList, except elements can be more quickly added and deleted from it, since no shifting needs to occur. A Hashmap is used to quickly look up a value based on a key rather than a numerical index, for example, to look up a phone number based on a key containing a person's name. A Set may be used to remove duplicates from a list, simply by assigning the data to it. 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.

When telling stories, we tend to create one-way narratives that conduct readers through a fixed sequence of events. Even though such an approach allows us to tell very elaborate stories, it's clear that it can only go so far when it comes to complex plots. That is, stories that can unfold in many different ways, depending on the readers' choices and preferences. In this guided project you will challenge this traditional approach towards story-telling by working with Twine, a tool designed for the creation of interactive, nonlinear stories. Not only will this teach you how to craft engaging stories, it will also equip you with the abilities required for the creation of simple games, such as Mushy Foray (our study object for this project).

Continue learning about blockchain technology by diving into the nature of ownership and how the blockchain is one way to approach decentralized transaction handling. This course also demystifies cryptography and hashing, which are critical for authenticating users and guaranteeing transaction privacy. This course requires the purchase of two books for the completion of assignments: Drescher, D. (2017). Blockchain Basics: A Non-Technical Introduction in 25 Steps. (ISBN-13: 978-1484226032) Antonoupoulos, A. M. (2017). The Internet of Money, Volume Two. (ISBN-13: 978-1947910065)

Begin your exploration of blockchain technologies with a look at fundamental blockchain concepts along with an application in which blockchain technology plays a critical role — cryptofinance. This course also introduces distributed digital systems in terms of software and network architecture, and shows how these systems underlie the functionality of the blockchain. In this and the following courses in the specialization you'll have a chance for hands-on-practice to cement your learning. This course requires the purchase of two books for the completion of assignments: Drescher, D. (2017). Blockchain Basics: A Non-Technical Introduction in 25 Steps. (ISBN-13: 978-1484226032) Antonoupoulos, A. M. (2017). The Internet of Money, Volume Two. (ISBN-13: 978-1947910065)