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Computer Science Courses - Page 4

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Continuous Delivery & DevOps
Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. Bringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. After completing this course, you will be able to: 1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it 2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability 3. Review and deliver automation tests across the development stack 4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them 5. Explain how high-functioning teams use DevOps and related methods to reach a continuous delivery capability 6. Facilitate prioritized, iterative team progress on improving a delivery pipeline
Create a fundraising page on KissKissBankBank
At the end of this project, you will learn how to create a fundraising page on KissKissBankBank for personal or professional purposes. This Guided Project is an introduction to KissKissBankBank and is designed for people who want to have their own fundraising page for a non-profit, charity, social enterprise, community project, or to support someone in need. KissKissBankBank offers an online platform to create fundraising, on a small or large scale, which brings together a large community with the mission of promoting civism, optimism, and independence. In addition, KissKissBankBank offers opportunities to develop a fundraising page with many functionalities and aesthetic features. After completing this project, you will be able to create a fundraising page, select and modify the main features offered on the platform, and define your financial and participatory goals, along with and the rewards potentially offered to your contributors. KissKissBankBank is a simple and free platform that provides extraordinary online advertising for your project. This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Image Denoising Using AutoEncoders in Keras and Python
In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Autoencoders - Import Key libraries, dataset and visualize images - Perform image normalization, pre-processing, and add random noise to images - Build an Autoencoder using Keras with Tensorflow 2.0 as a backend - Compile and fit Autoencoder model to training data - Assess the performance of trained Autoencoder using various KPIs 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.
Introduction to AWS Elastic File System
Amazon Elastic File System offers a simple interface that allows you to create and configure file systems quickly and easily in AWS. By the end of this project, you will get a real world experience of working with EFS on a production environment. The Idea is to create an EFS in AWS and create a text document using one Linux Instance and access the same document via another Linux Instance.
Diabetic Retinopathy Detection with Artificial Intelligence
In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs.
Introduction to Deep Learning & Neural Networks with Keras
Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to: • Describe what a neural network is, what a deep learning model is, and the difference between them. • Demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • Demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • Build deep learning models and networks using the Keras library.
Software Design Methods and Tools
Since many software developers are compulsive coders, they have created software over the years to help them do their job. There are tools which make design and its associated tasks easier. The course introduces some basic tools and techniques to help you with design. Tools aren’t always tangible, however. The last two lessons of this course discuss questions of Ethics in software development. The purpose here is, as with tools, to equip you to better carry our your responsibilities as a designer. Students will be required to have a prior knowledge of writing and delivering software and some programming knowledge in java.
Apply basic testing for your Django web application
In this 2-hour long project-based course, you will learn how Django's rich testing framework work, and how to use it to test your web apps. You will create a simple Django project with two apps, and you will create test methods to cover model and view methods. Using the Client object, you will write code that virtually interact with your form. You will run the tests and improve your code based on the results of the tests. 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.
Asymmetric Cryptography and Key Management
Welcome to Asymmetric Cryptography and Key Management! In asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic. This course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.
Concurrency in Go
Learn how to implement concurrent programming in Go. Explore the roles of channels and goroutines in implementing concurrency. Topics include writing goroutines and implementing channels for communications between goroutines. Course activities will allow you to exercise Go’s capabilities for concurrent programming by developing several example programs.