Online courses directory (10358)

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit. This is the seventh course in the Johns Hopkins Data Science Specialization.

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

Leading companies look for innovative thinking in new hires and for career advancement. Yet only 1 in 4 of us feels truly creative. Time to reinvent yourself and unleash the creativity lying dormant in all of us.   

Dr. Roberta Ness, featured TED speaker, author, and one of America’s leading creative thinking innovators, will guide you through her exclusive 5-step program to being  an effective innovator. Learn to break free from your usual thinking pattern and start generating creative solutions to life’s challenges. Sharpen your powers of observation, make surprising associations, expand your idea space, and even master  how to think backwards. Hone your creative thinking skills by solving real-world problems from business and science.  

The funding for this course was made possible by the UTHealth Innovation in Cancer Prevention Research Training Program (Cancer Prevention and Research Institute of Texas grant #RP160015). The content is solely the responsibility of the creators and does not necessarily represent the views of the Cancer Prevention Research Institute of Texas.

Mission: Encourage life-long learning, promote alternative learning environments and equip you with 21st Century skills.

The piano remains one of the great achievements of musical instrument design and has long served as a primary creative tool for musicians worldwide. In this course, we will look at how the piano’s design touches on a range of diverse topics, like: where musical scales come from and how the piano’s design impacts creativity; the expressive relationship between various keyboard instrument designs; the extraordinary range of color that emerges when we listen closely to how various intervals can be tuned, and in turn the choices we need to make when tuning a keyboard instrument. We will also consider how the piano can be reinvented, both acoustically and digitally. This will include study of the prepared piano, the autonomous piano, and the digital piano, as well as Trueman’s own prepared digital piano, which itself raises a host of questions regarding rhythm, meter and groove, music perception, adaptive digital systems, and the creative process.

This is not a history course, but it is course that uses the piano to bring together a range of subjects that are often ignored or under developed in traditional music curricula. Nor is it a composition course, but students will be asked to create in a variety of ways, and it should be of use to both experienced and aspiring composers, not to mention pianists. We will engage with a range of music, going back to Frescobaldi, Scarlatti, J.S. Bach and his son C.P.E. Bach, through Schubert, all the way to more recent composers like Conlon Nancarrow, György Ligeti, and John Cage. And finally this is in part an “artist practicum” course, focusing on the creative process and how composers today might invent, and reinvent, instruments to create new work; some of Trueman’s own work, including the Nostalgic Synchronic Etudes for prepared digital piano, will come in to play.

This course examines the issues, principles, and challenges toward building relational machines through a combination of studio-style design and critique along with lecture, lively discussion of course readings, and assignments. Insights from social psychology, human-computer interaction, and design will be examined, as well as how these ideas are manifest in a broad range of applications for software agents and robots.

Taking a look at the usual problems in relationships with hope to change all that.

8.323, Relativistic Quantum Field Theory I, is a one-term self-contained subject in quantum field theory. Concepts and basic techniques are developed through applications in elementary particle physics, and condensed matter physics.

This course is the second course of the quantum field theory trimester sequence beginning with Relativistic Quantum Field Theory I (8.323) and ending with Relativistic Quantum Field Theory III (8.325). It develops in depth some of the topics discussed in 8.323 and introduces some advanced material.

This course is the third and last term of the quantum field theory sequence. Its aim is the proper theoretical discussion of the physics of the standard model. Topics include: quantum chromodynamics; the Higgs phenomenon and a description of the standard model; deep-inelastic scattering and structure functions; basics of lattice gauge theory; operator products and effective theories; detailed structure of the standard model; spontaneously broken gauge theory and its quantization; instantons and theta-vacua; topological defects; introduction to supersymmetry.

This course, which concentrates on special relativity, is normally taken by physics majors in their sophomore year. Topics include Einstein's postulates, the Lorentz transformation, relativistic effects and paradoxes, and applications involving electromagnetism and particle physics. This course also provides a brief introduction to some concepts of general relativity, including the principle of equivalence, the Schwartzschild metric and black holes, and the FRW metric and cosmology.

The study of the night sky instilled wonder in our ancestors. Modern astronomy extends the human view to previously unexplored regions of space and time. In this course, you will gain an understanding of these discoveries through a focus on relativity—Einstein's fascinating and non-intuitive description of the physical world. By studying relativity and astronomy together, you will develop physical insight and quantitative skills, and you’ll regain a profound sense of wonder for the universe we call home.

FAQ

• What topics will the course cover?
  • Section One—Introduction
  • Section Two—3, 2, 1 … Launching the journey into spacetime
  • Section Three—Special relativity: from light to dark
  • Section Four—General relativity: from flat to curved

• Is there a required textbook?

  • No textbook is required. Notes will be posted weekly. A list of supplemental resources, including textbooks, will be provided.​​

• What are the learning outcomes of this course?

  • Explain the meaning and significance of the postulates of special and general relativity.

  • Discuss significant experimental tests of both special and general relativity.

  • Analyze paradoxes in special relativity.

  • Apply appropriate tools for problem solving in special relativity.

  • Describe astrophysical situations where the consequences of relativity qualitatively impact predictions and/or observations.

  • Describe daily situations where relativity makes a difference.

This course is the first course in a series of two. Both courses provide a solid foundation in the area of reliable distributed computing, including the main concepts, results, models and algorithms in the field.

Today's global IT infrastructures are distributed systems; from the Internet to the data-centers of cloud computing that fuel the current revolution of global IT services. At the core of these services you find distributed algorithms.

These algorithms run on multiple computers and communicate only by sending and receiving messages. It is crucial for the implemented services to continue to work 24/7 even if some of the computers fail or some of the messages are lost in transit. This is the subject of reliable distributed algorithms in computer science.

ID2203.1x covers models of distributed algorithms based on input/output automata; specifications of fault tolerant abstractions and failure detectors; specific distributed abstractions and fault-tolerant algorithms, including reliable broadcast and causal broadcast; key-value stores and consistency models; single-value consensus and the Paxos algorithm.

To complete the course with a full grade (100%) students are required to answer the graded quizzes provided every week, as well as the programming assignments.

This course is the second course in a series of two. Both courses provide a solid foundation in the area of reliable distributed computing, including the main concepts, results, models and algorithms in the field.

In order to ensure that IT infrastructures - a key engine of operations for any organization - operate at full capacity and efficiency, it is vital to understand its core: distributed algorithms. To achieve this, the infrastructure itself must be reliable and resilient. This course continues on the foundations of distributed algorithms, introduced in ID2203.1x, and builds on these concepts at a higher level of complexity to develop the skills needed to build and maintain reliable and efficient distributed systems.

ID2203.2x covers specific advanced abstractions and algorithms including sequence consensus and multi-Paxos; atomic broadcast and replicated state machines. It also covers dynamic reconfiguration of services; the use of physical clocks in distributed systems; the CAP theorem, and weaker consistency models, including eventual consistency and conflict-free replicated data-types.

Students will experiment and develop a variety of distributed algorithms in an interactive, engaging programming environment using the Scala programming language. They will be guided throughout the programming assignments and provided with intuitive examples to help them get started.

To complete the course with a full grade (100%) students are required to answer the graded quizzes provided every week, as well as the programming assignments.

Great managers are made, not born. Learn about the qualities and skills of great managers in this Business 101 course. Instructor Sherri Hartzell holds both an MBA and Ed.D., so she's an excellent choice to teach you about principles of management.

Start by learning about the different levels of management in organizations and then dive into how good managers lead to great employees. Students of business, budding entrepreneurs and independent online learners alike can benefit from these short, engaging video lessons and interactive online quizzes. Business 101: Principles of Management can prepare you to earn real, widely transferable college credit by taking the Principles of Management CLEP exam or the Excelsior Principles of Management exam .

What is religion? What is Hip Hop? Are they the same thing? Do they overlap? Over six weeks we’ll get a sense of how some individuals answer these questions, and you’ll get the tools you need to explore these questions for yourselves.

We will start our time together with some basic assumptions, the most important being a willingness to think about Hip Hop and religion as cultures that wrestle with the huge questions of our existence: Who are we? Why are we? Where are we?  on hip You will also need to be open to the possibility of Hip Hop as a language through which these complex and religious questions are presented, explored, and interpreted.

As this course unfolds, we’ll look closely into the relationship between Hip Hop culture and religion. We will explore the ways in which Hip Hop culture discusses and provides life meaning in complex ways through  (1) a discussion of the history and content of rap music; (2) an examination of religion in rap music; (3) an exploration of the religious sensibilities of rap artists; and (4) a discussion of the implications of the connection between rap and religion.

We will accomplish this through a unique mix of videos, readings, music, images, stories and behind-the scenes insider perspectives. 

All required readings are available within the courseware and complete texts are also available for purchase.

Join this course to enhance your understanding of the intersections between religion and Hip Hop culture in the United States. No prior knowledge is required. All lectures will be in English.

Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

This course introduces the history of Islamic cultures through their most vibrant material signs: the religious architecture that spans fourteen centuries and three continents — Asia, Africa, and Europe. The course presents Islamic architecture both as a historical tradition and as a cultural catalyst that influenced and was influenced by the civilizations with which it came in contact.

The study of religion is the study of a rich and fascinating dimension of human experience that includes but goes well beyond beliefs and ritual practices. In this religion course, learners explore case studies about how religions are internally diverse, how they evolve and change through time, and how religions are embedded in all dimensions of human experience. We’ll explore these tenets through the lens of scripture and through themes such as gender and sexuality, art, violence and peace, science, and power and authority.

Join me and peers from around the world to embark on this journey to better understand religion in human affairs.

This is the first religion course in a series of World Scriptures courses from HarvardX:

• Christianity
• Buddhism
• Islam
• Hinduism
• Judaism

This course provides a historical study of the origins of Christianity by analyzing the literature of the earliest Chris