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Teaching Impacts of Technology: Fundamentals

Teaching Impacts of Technology: Fundamentals

In this course you’ll focus on the fundamentals of teaching the impacts of technology, starting by exploring how you interact with and benefit from technology in a typical 24 hour period, such as the desire for instant food and entertainment. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

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  • 11 hours
  • English
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Advanced Modeling for Discrete Optimization

Advanced Modeling for Discrete Optimization

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars.

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  • 47 hours
  • English
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Introduction to Basic Game Development using Scratch

Introduction to Basic Game Development using Scratch

By the end of this project, you will create a basic game using an introductory, web-based coding program called Scratch. Learning to code will allow you to build basic coding or computer science skills and a fundamental understanding in order to grow your programming abilities. Learners will engage in the design process in order to develop an understanding of how to develop algorithms that control programs, use event-driven programming, and debug a program. Note: This course works best for learners who are based in the North America region.

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  • 4 hours
  • English
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Precalculus: Periodic Functions

Precalculus: Periodic Functions

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.

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  • 9 hours
  • English
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Introduction and Programming with IoT Boards

Introduction and Programming with IoT Boards

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry.

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  • 7 hours
  • English
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Linux: File Management for Devops

Linux: File Management for Devops

In this 1-hour long project-based course on Linux file management for DevOps, you will be working entirely on the command line and using powerful Linux commands working with files and directories and manipulating them. We will copying, moving and creating symlinks between files, as well as learning how to search through outputs and cut outputs by columns to only retrieve the data fields that we need. We will learn various commands and options that will give you the confidence to work with files in most Linux environments.

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  • 3 hours
  • English
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Discrete Mathematics

Discrete Mathematics

Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. Perhaps more importantly, they will reach a certain level of mathematical maturity - being able to understand formal statements and their proofs; coming up with rigorous proofs themselves; and coming up with interesting results. This course attempts to be rigorous without being overly formal.

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  • 42 hours
  • English
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Learn to Teach Java: Inheritance and Recursion

Learn to Teach Java: Inheritance and Recursion

Learn to program with Inheritance and Recursion in Java, and prepare to teach others using the free, online interactive CS Awesome textbook. In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students. This course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course. We'll cover the Java concepts of inheritance and recursion, as covered in the APCS A Units 9 and 10.

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  • 11 hours
  • English
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Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

How do gamers cause things to happen when they hit buttons on their controller? How does the computer keep track of gamer's scores? This class teaches the concepts of nested loops, events, and variables. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with nested loops, events, and variables in a way that keeps frustration at a minimum.

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  • 9 hours
  • English
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Stability and Capability in Quality Improvement

Stability and Capability in Quality Improvement

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability.

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  • 10 hours
  • English
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Linux: Processes & System Resource Management for DevOps

Linux: Processes & System Resource Management for DevOps

In this 1-hour long project-based course on Linux: Intro to process and system resource management for DevOps, you will be working entirely on the command line and using powerful Linux commands such as ps -ef, top, and pstree to learn how process and system resources work and are managed in Linux. You will be starting, stopping, searching and viewing running processes and seeing how they are all linked together in the process hierarchy.

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  • 3 hours
  • English
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Network Analysis in Systems Biology

Network Analysis in Systems Biology

This course introduces data analysis methods used in systems biology, bioinformatics, and systems pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, clustering, dimensionality reduction, differential expression, enrichment analysis, and network construction. The course contains practical tutorials for using several bioinformatics tools and setting up data analysis pipelines, also covering the mathematics behind the methods applied by these tools and workflows.

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  • 30 hours
  • English
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Precalculus: Relations and Functions

Precalculus: Relations and Functions

This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.

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  • 12 hours
  • English
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Introduction to Programming

Introduction to Programming

Designed for the not-yet-experienced programmer, this course will provide you with a structured foundation for developing complex programs in the fields of computer science or data science. If you are a self-taught programmer with scattered bits of understanding, or a complete novice, this is the course for you. Here, you will gain a thorough understanding of how to write programs to solve problems, through structured, scaffolded, hands-on exercises with many examples and opportunities to practice.

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  • 36 hours
  • English
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Ethical Issues in Data Science

Ethical Issues in Data Science

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more.

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  • 24 hours
  • English
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Mathematical Foundations for Cryptography

Mathematical Foundations for Cryptography

Welcome to Course 2 of Introduction to Applied Cryptography. In this course, you will be introduced to basic mathematical principles and functions that form the foundation for cryptographic and cryptanalysis methods. These principles and functions will be helpful in understanding symmetric and asymmetric cryptographic methods examined in Course 3 and Course 4. These topics should prove especially useful to you if you are new to cybersecurity. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability.

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  • 15 hours
  • English
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Create Your First Python Program From UST

Create Your First Python Program From UST

Welcome to this Guided Project on Creating Your First Python Program, From UST. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by their purpose, they partner with clients from design to operation. With this Guided Project from UST, you can quickly build in-demand job skills and expand your career opportunities in the Computer Science field by learning the foundational elements of the Python programming language and its basic syntax.

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  • 2 hours
  • English
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C++ Object Basics: Functions, Recursion, and Objects

C++ Object Basics: Functions, Recursion, and Objects

Code and run your first C++ program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just C++, but core Computer Science topics that can be transferred to other languages. The modules in this course cover functions, recursion, objects, and mutability. Completion of the prior 2 courses in this specialization are recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free.

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  • 9 hours
  • English
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Programming with Cloud IoT Platforms

Programming with Cloud IoT Platforms

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course aims at introducing IoT Cloud platforms from Samsung, Microsoft, Amazon, IBM and Google and how they can be used in developing IoT applications. This course will be offered in English.

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  • 6 hours
  • English
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Unsupervised Algorithms in Machine Learning

Unsupervised Algorithms in Machine Learning

One of the most useful areas in machine learning is discovering hidden patterns from unlabeled data. Add the fundamentals of this in-demand skill to your Data Science toolkit. In this course, we will learn selected unsupervised learning methods for dimensionality reduction, clustering, and learning latent features. We will also focus on real-world applications such as recommender systems with hands-on examples of product recommendation algorithms. Prior coding or scripting knowledge is required. We will be utilizing Python extensively throughout the course.

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  • 38 hours
  • English
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Computer Science: Programming with a Purpose

Computer Science: Programming with a Purpose

The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world.

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  • 88 hours
  • English
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Machine Learning for All

Machine Learning for All

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it.

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  • 22 hours
  • English
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Introduction to Programming with MATLAB

Introduction to Programming with MATLAB

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines.

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  • 35 hours
  • English
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Genomics: Decoding the Universal Language of Life

Genomics: Decoding the Universal Language of Life

What is a genome? A genome contains all of the information that a cell needs to develop, function, and reproduce itself, and all the information needed for those cells to come together to form a person, plant, or animal. Genomes contain an organism’s complete set of genes, and also the even tinier genetic structures that help regulate when and how those genes are used. The ability to regrow a torn ligament, the clues that might predict the onset of mental illness, the nutritional potential of crops, and even the history of life itself, are all encoded in genomes.

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  • 37 hours
  • English
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Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. In particular, you will implement a virtual machine and a compiler for a simple, Java-like programming language, and you will develop a basic operating system that closes gaps between the high-level language and the underlying hardware platform. In the process, you will gain a deep, hands-on understanding of numerous topics in applied computer science, e.g.

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  • 90 hours
  • English
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