Online Courses and Tutorials

Onlinecourses.tech provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Теория отраслевых рынков (Industrial Organization)

About this course: Курс посвящен факторам, влияющим на размер компаний и структуру рынка. Почему на одних рынках преобладают малые компании, а на другом крупные? Продавцы принимают решения стратегически, однако их стимулы в свою очередь зависят от структуры рынка и от предшествующих решений. Как разделить между зоной предопределенных и свободных решений? Например, сговор как модель ценового поведения – предопределен структурой рынка или служит результатом свободного волеизъявления? Способны ли укоренившиеся на рынке продавцы препятствовать входу новичков, защищая свою рыночную долю и свою прибыль? Каковы лучшие способы предотвращения ценовых сговоров продавцов? Нужно ли (или по крайней мере желательно) запрещать или ограничивать слияния между крупными продавцами? Есть ли необходимость для государственной политики налагать ограничения на условия договоров между производителем и дистрибьютором? Как в этих условиях должна быть организована государственная политика (применение антимоноп…

Analyzing the Universe

Analyzing the Universe


About this course: Using publicly available data from NASA of actual satellite observations of astronomical x-ray sources, we explore some of the mysteries of the cosmos, including neutron stars, black holes, quasars and supernovae. We will analyze energy spectra and time series data to understand how these incredible objects work. We utilize an imaging tool called DS9 to explore the amazing diversity of astronomical observations that have made x-ray astronomy one of the most active and exciting fields of scientific investigation in the past 50 years. Each week we will explore a different facet of x-ray astronomy. Beginning with an introduction to the nature of image formation, we then move on to examples of how our imaging program, DS9, can aid our understanding of real satellite data. You will using the actual data that scientists use when doing their work. Nothing is "canned". You will be able to appreciate the excitement that astronomers felt when they made their important discoveries concerning periodic binary x-ray sources, supernovae and their remnants, and extragalactic sources that have shaped our understanding of cosmology.


Created by:  Rutgers the State University of New Jersey

LevelBeginner
Commitment6 weeks of study, 5 hours per week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.6See what learners said
Syllabus
WEEK 1
Light and the Nature of Images....Plus, an Introduction to DS9
Welcome to Week 1 of "Analyzing the Universe!" This week we explore the nature of light, and how we get astronomical information from the images we obtain. The lectures and "wiki" material address these themes: light, image formation, and DS9. Dive right in!
7 videos4 readings
  1. Video: Course Overview
  2. Reading: Introduction
  3. Reading: Syllabus
  4. Reading: Light and the Nature of Images. Plus, an introduction using DS9
  5. Video: Lecture 1 The Nature of Images
  6. Video: Lecture 2 Image Formation
  7. Video: Lecture 3 Skipping Stones and X-ray Images
  8. Video: Lecture 4 The Perception of Images
  9. Video: Lecture 5 Introduction to DS9--Part I
  10. Video: Lecture 6 Introduction to DS9--Part II
  11. Reading: Week 1 Wiki
Graded: Quiz 1: Week 1
WEEK 2
Basic Astronomical Data and a DS9 Smorgasbord
Welcome to week two of "Analyzing the Universe". This week we will be exploring some of the means we have at our disposal to find out many things about the stars. It is really quite incredible that these tiny pinpoints of light can yield so much information about their nature and about the structure of the Universe as a whole. And if this is your first visit to the course, welcome and jump right in!
5 videos2 readings
  1. Reading: DS9 and Astronomical Data
  2. Video: Week 2 - Lecture 1 The DS9 Smorgasbord--Part I
  3. Video: Lecture 2 The DS9 Smorgasbord--Part II
  4. Video: Lecture 3 "Lies, Damned Lies, and Statistics"
  5. Video: Lecture 4 Atomic Spectra, the Fingerprints of the Stars
  6. Video: Lecture 5 The Cosmic Distance Scale -- Part I
  7. Reading: Week 2 Wiki
Graded: Quiz 2: Week 2
WEEK 3
Stellar Evolution and White Dwarfs
This week is our first in-depth look at an x-ray source, and it involves a white dwarf in a binary system. So sharpen up your detective skills, keep your copy of DS9 at the ready, and let's get down to business. It should be an exciting week. 
4 videos2 readings
  1. Reading: GK Per -- An in depth analysis
  2. Video: Week 3- Lecture 1 Putting It All Together-- The HR Diagram
  3. Video: Lecture 2 Of GK-Per and White Dwarfs, Part 1
  4. Video: Lecture 3 Of GK-Per and White Dwarfs, Part 2
  5. Video: Lecture 4 Of GK-Per and White Dwarfs, Part 3
  6. Reading: Week 3 Wiki
Graded: Quiz 3: Week 3
WEEK 4
Orbits, Gravity, and Clocks in the Sky
This week we turn our attention to another fascinating cosmic source, discovered in the infancy of x-ray astronomy: Cen X-3. In so doing, we will see how binary stars can determine and influence many of the interesting and surprising features of our observations.
7 videos2 readings
  1. Reading: Clocks in the Sky
  2. Video: Week 4 - Lecture 1 Orbits
  3. Video: Lecture 2 A Matter of Some Gravity
  4. Video: Lecture 3 Of Hummingbirds, Trains and The Doppler Shift
  5. Video: Lecture 4 Clocks in the Sky-- Cen X-3, Part 1--Exosat
  6. Video: Lecture 5 Clocks in the Sky-- Cen X-3, Part 2
  7. Video: Lecture 6 Clocks in the Sky-- Cen X-3, Part 3
  8. Video: Lecture 7 Clocks in the Sky--Cen X-3, Part 4--Chandra
  9. Reading: Week 4 Wiki
Graded: Quiz 4: Week 4
WEEK 5
Supernovae, Our Cosmic Recycling Centers
This week, we will be examining supernovae, and their remnants. These fascinating objects are the breeding grounds for future stars, and were the sources of virtually all the atoms that make up our solar neighborhood. Every atom of calcium in every bone in your body, for example, was once shot out of a supernova, billions of years ago.
2 videos2 readings
  1. Reading: Cosmic Recycling Centers
  2. Video: Week 5 - Lecture 1 Cosmic Recycling Centers and Cas-A, Part 1
  3. Video: Lecture 2 Cosmic Recycling Centers and Cas-A, Part 2: "Color it X-ray"
  4. Reading: Week 5 Wiki
Graded: Quiz 5: Week 5
WEEK 6
To the Ends of the Universe; Quasars, 3C273, and beyond
This week we wrap things up with trips to galaxies and exotic objects, seen long ago and far away. The mysterious quasars provide clues about the way our Universe is evolving in time. They are incredible objects (actually, come to think of it, what isn't incredible in the x-ray sky?) discovered almost exactly a half century ago, quite by accident. We will explore the astonishingly prodigious x-ray output of 3C 273, one of the nearest ones, at a mere 2.5 billion light years away.
5 videos3 readings
  1. Reading: Coming into the home stretch
  2. Video: Week 6 - Lecture 1 The Time Machine, Part 1
  3. Video: Lecture 2 The Time Machine, Part 2
  4. Video: Lecture 3 The Time Machine, Part 3
  5. Video: Lecture 4 The Time Machine, Part 4
  6. Video: Lecture 5 To the Ends of the Universe: The Cosmic Distance Scale -- Part II
  7. Reading: Week 6 Wiki
  8. Reading: Wrapping it all up
Graded: Quiz 6: Week 6
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
Rutgers the State University of New Jersey
Learn more about this course

Comments

Popular posts from this blog

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Introduction to Data Science in Python

About this course: This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Ne…

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses