The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course applies principles learned in my course “Introduction to Engineering Mechanics” to analyze real world engineering structures.You will need to have mastered the engineering fundamentals from that class in order to be successful in this course offering.This course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering systems and problem solving.---------------------------Recommended Background:You will need to have successfully completed my earlier course “Introduction to Engineering Mechanics” in order to be successful in this course.---------------------------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.
Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course you will learn about the fundamentals of online education.The emphasis will be on planning and application. In the planningphase, you will explore online learning pedagogy, online course design,privacyand copyright issues, online assessments, managing an online class, webtools and Learning Management Systems. In the application phase, youwill create online learning materials. The final project for the coursewill consist of you building an online course based on everything thatyou learned and created in the course.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is an introduction to learning and applying the principles required to solve engineering mechanics problems. Concepts will be applied in this course from previous courses you have taken in basic math and physics.The course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering applications and problem solving.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.
This series of courses begins with an introduction to the US healthcare delivery system, its many systemic challenges and the prior efforts to develop and deploy informatics tools to help overcome those problems. It goes on to discuss health informatics from an historical perspective, its current state and its likely future state now that electronic health record systems are widely deployed, the HL7 FHIR (Fast Healthcare Interoperability Resources) standard is being rapidly accepted as the means to access and share the data stored in those systems and analytics is increasing being used to support clinical research using that aggregated data. It then turns to the impact of FHIR in transforming healthcare with a focus on some of the important and evolving areas of informatics including health information exchange, population health, public health, mHealth and big data and analytics. Use cases and case studies are used in all of these discussions to help students connect the technologies to real world challenges.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course introduces students to the basic components of electronics: diodes, transistors, and op amps.It covers the basic operation and some common applications.
This class is offered as CS6505 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.In this course, we will ask the big questions, "What is a computer? What are the limits of computation? Are there problems that no computer will ever solve? Are there problems that can’t be solved quickly? What kinds of problems can we solve efficiently and how do we go about developing these algorithms?" Understanding the power and limitations of algorithms helps us develop the tools to make real-world computers smarter, faster and safer.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.WelcomeWhat you should know before you start the courseAccelerating Materials Development and Deployment •Learn and appreciate historical paradigms of advanced materials development while emphasizing the critical need for new approaches that employ data sciences and informatics as the glue to connect computational simulation and experiments to speed up the processes of materials discovery and development.•Learn about the emergence of key national and international 21st century initiatives in accelerated materials discovery and development and how they are expected to bring about a disruptive transformation of new product capabilities and time to market.Materials Knowledge and Materials Data Science •Understand property, structure and process spaces•Learn about Process-Structure-Property Linkages •Learn what does Materials Knowledge mean•Learn about a role of Data Science in Materials Knowledge System•Overview approaches and main components of Data Science•Learn about a new discipline - Materials Data SciencesMaterials Knowledge Improvement Cycles•Learn material structure and its digital representation•Learn how to calculate 2-point statistics •Learn how Principal Component Analysis can be used to reduce dimensionality•Understand Homogenization and Localization conceptsCase Study in Homogenization: Plastic Properties of Two-Phase CompositesThis module demonstrates a homogenization problem based on an example of two-phase compositesMaterials Innovation Cyberinfrastructure and Integrated Workflows•Learn about materials innovation system and cyberinfrastructure•Review Materials Databases, e-collaboration platforms and code repositories•Learn why integrated workflows are needed•Define Metadata, Structured and Unstructured data•Learn about available services for e-collaborations
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe focus of this course is to introduce the learner to User Experience (UX) DesignUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.This course is geared toward the novice. It is for learners that have heard about "user experience" or "user interface" design but don't really know much about these disciplines.The course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.In this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.This means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis 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.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course will cover the mathematical theory and analysis of simple games without chance moves.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is a first introduction to electrical systems. It includesthe analysis of circuits including resistors, capacitors, and inductorswith DC and AC sources in the time domain and in the frequency domain.Laboratory demonstrations are given to reinforce the concepts learned fromthe lectures and homework. The course is targeted at people with a scientificor technical background who are not electrical or computer engineers. Thecoverage is not as deep as a circuits course aimed at electrical engineers.There are a number of physical applications demonstrated in this coursethat serve to motivate this topic to a wider audience. The course is idealfor someone who wants to gain a basic understanding of electrical circuits,someone who wants to get better intuition for what they have already learned,precocious hobbyists, or for someone who is considering electrical engineeringas a career.
The Georgia Tech Online Master of Science in Analytics (OMS Analytics) is a multidisciplinary degree in collaboration with Georgia Tech’s College of Engineering, College of Computing, and Scheller College of Business.The top 10-ranked master’s program challenges students with the same curriculum and rigor as its on-campus Analytics counterpart, all with tuition for under $10,000 USD.This fully online program enables students to take a deep dive into analytics and choose from 3 specialized tracks.Analytical ToolsBusiness AnalyticsComputation Data AnalyticsDesigned for your schedule, this online master’s program is for students seeking greater flexibility and can be completed part-time in two to three years.OMS Analytics equips you with the insight and multidisciplinary skills needed to succeed in today’s analytics world while offering you the prestige, affordability, flexibility you want in a master’s degree.Gain a credential that commands attention with the Georgia Tech Online Master of Science in Analytics.
Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject. At the start of this course we introduce systems of linear equations and a systematic method for solving them. This algorithm will be used for computations throughout the course as you investigate applications of linear algebra and more complex algorithms for analyzing them. Later in this course you will later see how a system of linear equations can be represented in other ways, which can reduce problems involving linear combinations of vectors to approaches that involve systems of linear equations. Towards the end of the course we explore linear independence and linear transformations. They have an essential role throughout our course and in applications of linear algebra to many areas of industry, science, and engineering. __
The theory developed here (that you will not find in any other course :) has much in common with (and complements) statistical mechanics and field theory courses; partition functions and transfer operators are applied to computation of observables and spectra of chaotic systems.Nonlinear dynamics 1: Geometry of chaos (see syllabus)Topology of flows - how to enumerate orbits, Smale horseshoesDynamics, quantitative - periodic orbits, local stabilityRole of symmetries in dynamicsNonlinear dynamics 2: Chaos rules (see syllabus)Transfer operators - statistical distributions in dynamicsSpectroscopy of chaotic systemsDynamical zeta functionsDynamical theory of turbulenceThe course, which covers the same material and the same exercises as the Georgia Tech course PHYS 7224, is in part an advanced seminar in nonlinear dynamics, aimed at PhD students, postdoctoral fellows and advanced undergraduates in physics, mathematics, chemistry and engineering.