As they tumble through space, objects like spacecraft move in dynamical ways. Understanding and predicting the equations that represent that motion is critical to the safety and efficacy of spacecraft mission development. Kinetics: Modeling the Motions of Spacecraft trains your skills in topics like rigid body angular momentum and kinetic energy expression shown in a coordinate frame agnostic manner, single and dual rigid body systems tumbling without the forces of external torque, how differential gravity across a rigid body is approximated to the first order to study disturbances in both the attitude and orbital motion, and how these systems change when general momentum exchange devices are introduced. After this course, you will be able to... *Derive from basic angular momentum formulation the rotational equations of motion and predict and determine torque-free motion equilibria and associated stabilities * Develop equations of motion for a rigid body with multiple spinning components and derive and apply the gravity gradient torque * Apply the static stability conditions of a dual-spinner configuration and predict changes as momentum exchange devices are introduced * Derive equations of motion for systems in which various momentum exchange devices are present Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics.

Take the next step in your career by gaining a greater understanding of 5G technology and how it is changing the way we operate both personally and professionally. Learn how 5G is revolutionizing the business world and begin to understand how 5G can benefit your business by helping you meet your ever-evolving needs. You do not need any prior knowledge of 5G or other wireless technology to take this course. WHY TAKE THIS COURSE? - Understand what 5G technology is, the endless possibilities it offers, and how you can leverage it to enhance business strategy. - Receive 5G training from engineers at Qualcomm Technologies – a world leader in 5G tech and wireless communication. - Receive a Qualcomm-branded certificate of completion that may help you get that next job or promotion. COURSE OUTLINE: - Overview of wireless and cellular communications. - Overview of the 5G NR vision. - Introduction to 5G networks and features. - Discuss 5G spectrum and mmWave. - Learn about Massive MIMO and its impact on wireless technology. - Discuss the evolution of the 5G radio access network (RAN). - Dive into 5G private networks and industrial IoT. - Overview of 5G security.

Being aware of the urgency and importance of climate change is not enough to tackle it effectively. To avoid the worst climate outcomes, decisive action has to be taken. But what realistic options do we have? Since our resources are limited, is it better to act now or wait until we have more advanced and less expensive technology? How big do our abatement efforts have to be? This MOOC will help you understand how economists try to answer these questions and find the optimal course of action. Most important, it will give you the conceptual tools to draw your own conclusions. In the first part of the MOOC, you will learn about the two main approaches used by economists to determine when and how much we should invest in the fight against climate change. The first method is the net-present-value approach. Here the social discount rate plays a central role in determining optimal policy, by showing how future benefits and costs can be compared and made comparable (‘present-valued’) with expenditures today. In the second approach you will learn how Integrated Assessment Models (IAMs) work. In particular, you will study in detail the strengths and weaknesses of one of the most popular IAMs, the DICE model, developed by Nobel laureate Professor Nordhaus. This model tries to figure out the optimal course of action by providing a simplified account of the science, the technology and the economics of the problem. The second part of this MOOC then explores the different types of economic policies that decision-makers can adopt. You will be introduced to different methods used to control emissions, such as carbon taxes, regulations and standard-setting. You will also learn about the most developed emissions trading markets around the world and their effects on the economy. This MOOC is for those who wish to understand the economics of climate change and use this understanding to form their own informed opinion about the policies on which we can rely to tackle it. It is not necessary to have specialized prior knowledge, apart from basic familiarity with economic concepts such as utility functions. We do suggest, however, taking the first MOOC of this specialization before starting this one in order to gain a simple but solid understanding of the physical and technological aspects of the problems.

What is a black hole? Do they really exist? How do they form? How are they related to stars? What would happen if you fell into one? How do you see a black hole if they emit no light? What’s the difference between a black hole and a really dark star? Could a particle accelerator create a black hole? Can a black hole also be a worm hole or a time machine? In Astro 101: Black Holes, you will explore the concepts behind black holes. Using the theme of black holes, you will learn the basic ideas of astronomy, relativity, and quantum physics. After completing this course, you will be able to: • Describe the essential properties of black holes. • Explain recent black hole research using plain language and appropriate analogies. • Compare black holes in popular culture to modern physics to distinguish science fact from science fiction. • Describe the application of fundamental physical concepts including gravity, special and general relativity, and quantum mechanics to reported scientific observations. • Recognize different types of stars and distinguish which stars can potentially become black holes. • Differentiate types of black holes and classify each type as observed or theoretical. • Characterize formation theories associated with each type of black hole. • Identify different ways of detecting black holes, and appropriate technologies associated with each detection method. • Summarize the puzzles facing black hole researchers in modern science.

How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.

This course presents an intensive experience during which students build a software system they intend to be secure, and then attempt to show that other students' projects are insecure, by finding flaws in them. A Note on Capstone Frequency: Please note that sessions of this Cybersecurity Capstone Project only run 3-4 times a year, depending on course team availability and learner interest. Please keep this in mind as you enroll into the Capstone program. While you will still be able to access certain elements of the course between sessions, you will not be able to submit assignments or be grouped into teams unless you are in an actively running session.

Arduino senses the environment by receiving inputs from add-on devices such as sensors, and can control the world around it by adjusting lights, motors, and other actuators. In this class you will learn how and when to use the different types of sensors and how to connect them to the Arduino. Since the external world uses continuous or analog signals and the hardware is digital you will learn how these signals are converted back-and-forth and how this must be considered as you program your device. You'll also learn about the use of Arduino-specific shields and the shields software libraries to interface with the real world. Please note that this course does not include discussion forums.

This course is an introduction to the study of bodies in motion as applied to engineering systems and structures. We will study the dynamics of particle motion and bodies in rigid planar (2D) motion. This will consist of both the kinematics and kinetics of motion. Kinematics deals with the geometrical aspects of motion describing position, velocity, and acceleration, all as a function of time. Kinetics is the study of forces acting on these bodies and how it affects their motion. --------------------------- Recommended Background: To be successful in the course you will need to have mastered basic engineering mechanics concepts and to have successfully completed my courses en titled an “Introduction to Engineering Mechanics” and “Applications in Engineering Mechanics.” We will apply many of the engineering fundamentals learned in those classes and you will need those skills before attempting this course. --------------------------- Suggested Readings: While no specific textbook is required, this course is designed to be compatible with any standard engineering dynamics textbook. You will find a book like this useful as a reference and for completing additional practice problems to enhance your learning of the material. --------------------------- The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman. By participating in the course or using the content or materials, whether in whole or in part, you agree that you may download and use any content and/or material in this course for your own personal, non-commercial use only in a manner consistent with a student of any academic course. Any other use of the content and materials, including use by other academic universities or entities, is prohibited without express written permission of the Georgia Tech Research Corporation. Interested parties may contact Dr. Wayne Whiteman directly for information regarding the procedure to obtain a non-exclusive license.

Course 1 first explores the basics of both macroscopic and microscopic thermodynamics from a postulatory point of view. In this view, the meaning of temperature, thermodynamic pressure and chemical potential are especially clear and easy to understand. In addition , the development of the Fundamental Relation and its various transformations leads to a clear path to property relations and to the concept of ensembles needed to understand the relationship between atomic and molecular structural properties and macroscopic properties. We then explore the relationship between atomic and molecular structure and macroscopic properties by taking a statistical point of view. Using a postulatory approach, the method for doing this is made clear. This leads to the development of the partition function which describes the distribution of molecular quantum states as a function of the independent, macroscopic thermodynamic properties.

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. In this series of four courses, you will learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.