Delaware Flag and Anthem The flag was adopted on July 24, 1913, has a background of colonial blue surrounding a diamond of buff color in which the coat of arms of the state is placed. Below the diamond are the words "December 7, 1787," which is the date Delaware first ratified the United States constitution. The shades of buff and colonial blue represent those of the un
The flag was adopted on July 24, 1913, has a background of colonial blue surrounding a diamond of buff color in which the coat of arms of the state is placed. Below the diamond are the words "December 7, 1787," which is the date Delaware first ratified the United States constitution. The shades of buff and colonial blue represent those of the un
Moving in Circles
The original Platonic ideal, with derivatives of vector functions. According to Plato, stars are heavenly beings that orbit the Earth with uniform perfection -- uniform speed and perfect circles. Even in this imperfect world, uniform circular motion make perfect mathematical sense.
Lugosi teaches math - polynomial approximations2
In part 2 of Polynomial Approximations, Béla Lugosi continues teaching the advanced mathematical concept of Polynomial Approximations. In this part he discusses the role of the Ratio Test and Absolute Convergence. He uses this part of the lesson to answer some questions to specifically show how to use polynomial approximations.
Lugosi teaches math - uniform convergance
In this video course, Béla Lugosi teaches advanced mathematical concepts. In this part he teaches the concept of uniform convergence in general, which is a difficult and subtle topic. He gives the highlights of what makes up uniform convergence and convergence. A great intro to the concept of convergence for advanced mathematics.
Lugosi teaches math - uniform convergance2
In this video, Béla Lugosi continues with his teaching of the concept of uniform convergence. Though Lugosi is lecturing, it is as though he is having a discussion with you at times during this lecture, and discusses numerous properties of uniform convergence. Lugosi's passion for advanced mathematics is evident in this video.
Lugosi teaches math - uniform convergance3
In part 3 of Uniform Convergence, Béla Lugosi teaches advanced mathematical concepts related to uniform convergence. In this video, he shares how to chart, diagram, and graph uniform convergences and functions.
The benefits of implementing a school uniform policy including improving student achievement, decrease in peer pressure, save families money and gang issues.
How To Become a Chef
This video explains how to become a chef and the duties of a chef. Chefs and head cooks coordinate the work of the kitchen staff and
direct the preparation of meals. Footage is shown of chefs at work in restaurants. The narrator explains that chefs determine serving sizes, plan menus, order food supplies, and oversee kitchen operations to ensure uniform quality and presentation of meals.
Is there a Crisis in World Journalism? Dr George Nyabuga
Dr George Nyabuga is an award-winning journalist and acclaimed media trainer. He joined Media Convergence Group as Managing Editor earlier this year and has key responsibilities across the Group's multi-media platforms. Dr Nyabuga holds a PhD in Politics, History and Media and a Masters in Online Journalism. Nyabuga brings wide-ranging hands-on experience as a journalist in Kenya, South Africa and the US. He has taught journalism, media and cultural studies at Worcester and Coventry universities
6.436J Fundamentals of Probability (MIT)
This is a course on the fundamentals of probability geared towards first or second-year graduate students who are interested in a rigorous development of the subject. The course covers most of the topics in MIT course 6.431 but at a faster pace and in more depth. Topics covered include: probability spaces and measures; discrete and continuous random variables; conditioning and independence; multivariate normal distribution; abstract integration, expectation, and related convergence results; mome
15.098 Special Seminar in Applied Probability and Stochastic Processes (MIT)
This seminar is intended for doctoral students and discusses topics in applied probability. This semester includes a variety of fields, namely statistical physics (local weak convergence and correlation decay), artificial intelligence (belief propagation algorithms), computer science (random K-SAT problem, coloring, average case complexity) and electrical engineering (low density parity check (LDPC) codes).
2.094 Finite Element Analysis of Solids and Fluids (MIT)
This course presents finite element theory and methods for general linear and nonlinear analyses. Reliable and effective finite element procedures are discussed with their applications to the solution of general problems in solid, structural, and fluid mechanics, heat and mass transfer, and fluid-structure interactions. The governing continuum mechanics equations, conservation laws, virtual work, and variational principles are used to establish effective finite element discretizations and the st
Problem Based Learning tasks in Economic Growth: convergence hypothesis theory
Student handout outlining a PBL (Problem Based Learning) task on a final year course on economic growth and understanding convergence hypothesis theory.
Uniform convergence and pointwise convergence
The aim of this material is to introduce the student to two notions of convergence for sequences of real-valued functions. The notion of pointwise convergence is relatively straightforward, but the notion of uniform convergence is more subtle. Uniform convergence is explained in terms of closed function balls and the new notion of sets absorbing sequences. The differences between the two types of convergence are illustrated with several examples. Some standard facts are also discussed: a uniform
Explaining the Phases of the Moon
This video combines animation and photos of the moon to explain why the moon's 8 phases occur. A narrator walks the viewer through each phase of the moon's orbit around Earth
Rate-Time-Distance, Problem 3
The instructor solves this word problem using uniform motion rt=d formula: A 555-mile, 5-hour trip on the Autobahn was driven at two speeds. The average speed of the car was 105 mph on the first part of the trip, and the average speed was 115 mph for the second part. How long did the car drive at each speed? Answer: 105 mph for 2 hours and 115 mph for 3 hours.
Rate-Time-Distance, Problem 1
The solves this word problem using uniform motion rt=d formula: Two cyclists start at the same corner and ride in opposite directions. One cyclist rides twice as fast as the other. In 3 hours, they are 81 miles apart. Find the rate of each cyclist. Answer: 9 mph and 18 mph
Rate-Time-Distance, Problem 2
The instructor solves this word problem using uniform motion rt=d formula: A jogger started running at an average speed of 6 mph. Half an hour later, another runner started running after him starting from the same place at an average speed of 7 mph. How long will it take for the runner to catch up to the jogger? Answer: 3 hours
Rate-Time-Distance, Problem 5
The instructor solves this word problem using uniform motion rt=d formula: A car and a bus set out at 2 pm from the same spot, headed in the same direction. The average speed of the car is twice the average speed of the bus. After 2 hours, the car is 68 miles ahead of the bus. Find the rate of the bus and the car. Answer: Bus speed: 34 mph; Car speed: 68 mph
Rate-Time-Distance, Problem 6
The instructor solves this word problem using uniform motion rt=d formula: A pilot flew from one city to another city averaging 150 mph. Later, it flew back to the first city averaging 100 mph. The total flying time was 5 hours. How far apart are the cities? Answer: 300 miles