If you are interested in learning programming, but find pure programming courses not very exciting, this course is for you. Instead of just learning programming principles outside of any context, you will learn JavaScript programming by implementing key biological concepts in code so they can run in your browser. If you know a little (or a lot of) programming already, but want to learn more about the rules that govern life without having to pick up a traditional academic textbook, this course will also be of interest to you. You will learn some key ideas that form the basis of modern biology, from population genetics to evolutionary biology to infectious disease spread. No prior programming knowledge needed.

This MIS course will cover supporting tech infrastructures (Cloud, Databases, Big Data), the MIS development/ procurement process, and the main integrated systems, ERPs, such as SAP®, Oracle® or Microsoft Dynamics Navision®, as well as their relationship with Business Process Redesign. Management Information Systems (MIS) are an integral part of today’s professional landscape. From customer relationship management (CRM) systems handling the day to day interactions with clients and prospects, to financial systems issuing invoices and paying bills, day to day working life is increasingly controlled by these systems that dictate what to do and how. This course will focus on what MIS are, how they influence your current or prospective jobs, why they impose specific - and sometimes seemingly absurd - operational procedures, and how to use this knowledge to your advantage in your professional life. Grasping the key concepts in MIS does not need to be daunting. We will use real world examples to illustrate key concepts, and strive to strike a proper balance between clarity / amenity and conceptual soundness. Join us on this stimulating journey that will allow you to better understand and perform in your current or desired job. This course is also available in Spanish: " Introducción a los Sistemas de Información Gerencial (MIS): Una guía de supervivencia ".

If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away from each other? In the first part of the course, part of the Algorithms and Data Structures MicroMasters program, we will see how the dynamic programming paradigm can be used to solve a variety of different questions related to pairwise and multiple string comparison in order to discover evolutionary histories. In the second part of the course, we will see how a powerful machine learning approach, using a Hidden Markov Model, can dig deeper and find relationships between less obviously related sequences, such as areas of the rapidly mutating HIV genome.

This course provides details on how card payments are processed, including differences between older ‘magnetic stripe’ transactions and newer EMV (or ‘chip’) based transactions. Using this as a base, the course outlines specifically how payment solutions are being implemented around the world on smartphones and mobile devices, the differences between mobile acceptance and mobile issuance, and how other types of payment methods and payment processes may be implemented on these devices. This includes discussions of tokenization and token service providers, their relationship to financial institutions and merchants, as well as card transactions using card readers, contactless payments, and the rise of mobile apps, mobile wallets, and the ledger systems that are often used to manage these processes. Topics of mobile security, security standards, cryptography, protection of sensitive data, potential data breaches, malware, and key management are touched upon at a high level, but primary focus is provided to the mobile payments eco-system and implementations.

Begin your journey in a new career in marketing analytics. Learn about powerful strategies and methodology, starting with identifying market trends and metrics used to measure marketing success. In this marketing course, you will learn how to execute market sizing, identify market trends, and predict future conditions. This course is taught by Stephan Sorger who has held leadership roles in marketing and product development at companies such as Oracle, 3Com and NASA. He has also taught for over a decade at UC Berkeley Extension and is the author of two widely adopted marketing textbooks. This course will equip you with the knowledge and skills necessary to immediately see practical benefits in the workplace. Analytics-based marketing is increasingly important in determining a company’s spending and ROI. Many entry-level positions in marketing now require some basic level of knowledge in this rapidly growing field.

As the Internet of Things (IoT) continues to grow so will the number of privacy and security concerns and issues. As a professional working in the field, it is essential to understand the potential security risks and how to best mitigate them. In this course, you will learn about security and privacy issues in IoT environments. We’ll explore the organizational risks posed by IoT networks, and the principles of IoT device vulnerabilities. We’ll also look at software and hardware IoT Applications for industry. With billions of devices tracking our every move, privacy is a critical issue. We will explore and discuss the social and commercial implications the IoT brings to society.

Want to produce and record your own music? This course will help you do that by showing you how to apply new technologies to your own creative practice, using freeware and browser based apps. Music Technology Foundations draws on Adelaide’s world-class pioneering expertise in making electronic music, to provide a great foundation to a career in music and to enable any learner to use technology in creative ways. In this course, you’ll learn about the core principles of music technology, including sound, audio, MIDI, effects and sequencing.

Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment. For example, individual data points collected from one gene expression study can easily number in the hundreds of thousands. These types of data sets are often referred to as ‘biological big data’ and require bioinformaticians to use statistical tools to gain meaningful information from them. In this course, part of the Bioinformatics MicroMasters program, you will learn about the R language and environment and how to use it to perform statistical analyses on biological big datasets. This course is part of the Bioinformatics MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Biotechnology with a specialization in Bioinformatics without any application process or testing. See the MicroMasters program page for more.

In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society. You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project. This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

From cars that drive themselves to robots that restock the warehouse and sensors that know when it’s time to water or fertilize crops, our world is changing right before our eyes. This is digital transformation and it includes the convergence of 5G, IoT, AI, machine learning and the Edge. Edge Computing is part of the decentralized model of computing that focuses on real-time processing and analysis of data near the edge of the network, or nearest the device or user. It is considered the most significant enterprise trend since Cloud Computing. In this course you will learn about what Edge Computing is, what problems it’s solving and how it is supporting the rise of 5G, AI and IoT. We’ll review the data privacy and security considerations and share examples of where we see business innovation with Edge. We’ll also review the influencers and open source projects that are defining the future of Edge and the hybrid computing world.