This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of objects. The course presents a variety of methods for detecting features and boundaries and shows how features extracted from an image can be used to solve important vision tasks. We begin with the detection of simple but important features such as edges and corners. We show that such features can be reliably detected using operators that are based on the first and second derivatives of images. Next, we explore the concept of an “interest point” – a unique and hence useful local appearance in an image. We describe how interest points can be robustly detected using the SIFT detector. Using this detector, we describe an end-to-end solution to the problem of stitching overlapping images of a scene to obtain a wide-angle panorama. Finally, we describe the important problem of finding faces in images and show several applications of face detection.

By the end of this project, you will create a fully functioning fast typing game using Java Swing in Eclipse. This project will give you a great head start towards learning more and mastering one of the most used programming languages in the world. In this project you will be able to identify and apply many basic fundamentals such as data structures, variables, loops etc. Moreover, you will be able to perform simple String manipulation, save and compare the user's input to the original correct word and finally, you will be able to create dynamic labels for many applications. Learning and understanding Java Swing will help you progress in the programming field by creating simple Java applications.

This is an intermediate project on creating clustering models in Azure Machine Learning Studio. Familiarity with any Web Browser and navigating Windows Desktop is assumed. Some background knowledge on Machine Learning or Cloud computing is beneficial but not required to complete this project. Understanding how platform services in the cloud work and how machine learning algorithms function would be of great help in understanding better what we are executing in this guided project. Some minimal data engineering and data scientist knowledge is required. This guided project has the aim to demonstrate how you can create Machine Learning models by using the out-of-the-box solutions that Azure offers, by just using these services as-is, on your own data. The main focus is on the data and how this is being used by the services. As this project is based on Azure technologies, an Azure subscription is required. The project also outlines a step where an Azure subscription will be created and for this, the following items are required: a valid phone number, a credit card, and a GitHub or Microsoft account username. The series of tasks will mainly be carried out using a web browser. If you enjoy this project, we recommend taking the Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization: https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals

In this project, the learner will use Java programming language to create user-defined methods to recursively and iteratively implement a merge sort algorithm to arrange an array of integers in ascending order, and also sort student marks entered by the user.

By the end of this project, you will create a fully functioning 2 player jet fighters game using Pygame in Microsoft Visual Studio Code. This project will give you a great head start towards learning more and mastering one of the most used programming languages in the world. In this project you will be able to identify and apply many basic fundamentals such as data structures, variables, loops etc. and create a GUI with dynamic labels. Learning and understanding Pygame in Python will help you progress in the programming field by creating simple Python applications. 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.

In this 2-hour long project-based course, you will learn the basics of Neural Style Transfer with TensorFlow. Neural Style Transfer is a technique to apply stylistic features of a Style image onto a Content image while retaining the Content's overall structure and complex features. We will see how to create content and style models, compute content and style costs and ultimately run a training loop to optimize a proposed image which retains content features while imparting stylistic features from another image. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. 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.

By the end of this project you will use the Spring Cloud Framework to deploy a pair of microservices that will be used to inject random numbers into math quiz questions. Microservices are simply a set of small applications that communicate with one another to create an application. The advantages of using Microservices is that they are quick to develop and test. In addition, they scale well when demand increases for one part of the application, and they are easier to maintain since each Microservice is not strongly coupled to the other. 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.

In this 1.5-hour guided project, you will learn about more advanced types in TypeScript by extending a sample park review website and displaying visitors’ star ratings and comments. At the end of this class you will have a deeper understanding of advanced types in TypeScript and use it to make your code better organized and bug-resistant. Topics covered: TypeScript configuration file, union type, discriminated union type, tuple type, and generics types. Prerequisite: Basic to intermediate level of TypeScript. Basic HTML and DOM.

In this course, we will examine a key concept, foundational to any programming language: the usage of memory. This course builds upon the basic concept of pointers, discussed in C Programming: Modular Programming and Memory Management, and introduces the more advanced usage of pointers and pointer arithmetic. Arrays of pointers and multidimensional arrays are addressed, and you will learn how to allocate memory for your own data during program execution. This is called dynamic memory allocation at runtime using pointers. Within moments you will be coding hands-on in a browser tool developed for this course, receiving instant feedback on your code. No need to install anything! Why learn C and not another programming language? Did you know that smartphones, your car’s navigation system, robots, drones, trains, and almost all electronic devices have some C-code running under the hood? C is used in any circumstance where speed and flexibility are important, such as in embedded systems or high-performance computing. In this course, you will also gain experience with programming concepts that are foundational to any programming language. At the end of this course, you will reach the fourth milestone in the C Programming with Linux Specialization, unlocking the door to a career in computer engineering. Your job Outlook: - Programmers, developers, engineers, managers, and related industries within scientific computing and data science; - Embedded systems such as transportation, utility networks, and aerospace; - Robotics industry and manufacturing; - IoT (Internet of Things) used in smart homes, automation, and wearables. - IEEE, the world’s largest technical professional organization for the advancement of technology, ranks C as third of the top programming languages of 2021 in demand by employers. (Source: IEEE Spectrum) This course has received financial support from the Patrick & Lina Drahi Foundation.

By the end of this project, you will create a Sport Club Management System using JavaFX. This project will give you a great push towards mastering one of the most used programming languages in the world which is Java. In this project, you will be able to identify and apply many functions and features in JavaFX using SceneBuilder, which is a third-party application used to create a JavaFX GUI easily. You will also learn how to create controller classes in Eclipse that consist of methods that control the JavaFX windows. This will help you create a functional, presentable and fully customizable GUI to your preferences. Learning and understanding JavaFX will help you progress in the programming field by creating simple Java applications.