The Language of Mathematics (34): Prepping for Next Set of Videos
The instructor gives instructions for his next set of videos.
The Language of Mathematics (35): Why Two Negatives Make a Positive
The quick and simple answer to why a negative and a negative makes a positive in the language of mathematics is along the same lines as to why a double negative is a positive in the English language. Explore this further so that you can fully understand its implications. [NOTE: I will not post session 36 as the music included with the video is too explicit for the WatchKnow community.)
The Language of Mathematics (37): Update for Series II
[NOTE: I will not post session 36 as the music included with the video is too explicit for the WatchKnow community.)
The instructor has been inspired to do this series because, in his own words:
"During the last few years the education systems in Canada and the United States has been eroding. Students have been crammed into larger class sizes while the quality of teaching has deteriorated, in large part due to a lack of funding from local and federal governments."
Language of Mathematics II (38): Exponents and Radicals (intro)
This instructor really does speak the 'language' of mathematics. In this segment, the instructor introduces exponents and radicals using a small whiteboard.
Language of Mathematics II (39): Exponents and Radicals Layout
In this segment, the instructor continues his discussion of exponents and radicals using a small whiteboard.
Language of Mathematics II (41): Exponents and Radicals (Real 2 of 2)
The instructor re-creates work from the first part of the series. He re-creates a real number set and shows how they relate to exponents.
Language of Mathematics II (42): Exponents and Radicals (1 of 3)
The instructor returns to the outdoors and continues his discussion from parts 40 and 41 on exponents and radicals. The instructor speeds up the video while he is writing, but not speaking.
Language of Mathematics II (43): Exponents and Radicals (2 of 3)
Continuing from Parts 40, 41, and 42, the instructor discusses the 'language' of exponents and radicals. The instructor is outside using a concrete wall.
Language of Mathematics II (44): Exponents and Radicals (3 of 3)
This is the last segment of this portion of this Series II discussion of exponents and radicals. The instructor is outdoors writing on a colored concrete wall. (The streets of Vancouver (his home) will soon be filled with his math equations.)
6.042J Mathematics for Computer Science (SMA 5512) (MIT)
This is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering. The course divides roughly into thirds: Fundamental concepts of Mathematics: definitions, proofs, sets, functions, relations. Discrete structures: modular arithmetic, graphs, state machines, counting. Discrete probability theory. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5512 (Mathematics for Computer Science). Contributors Srin
6.042J Mathematics for Computer Science (MIT)
This course is offered to undergraduates and is an elementary discrete mathematics course oriented towards applications in computer science and engineering. Topics covered include: formal logic notation, induction, sets and relations, permutations and combinations, counting principles, and discrete probability.
6.042J Mathematics for Computer Science (MIT)
This is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering. The course divides roughly into thirds: Fundamental Concepts of Mathematics: Definitions, Proofs, Sets, Functions, Relations Discrete Structures: Modular Arithmetic, Graphs, State Machines, Counting Discrete Probability Theory A version of this course from a previous term was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5512 (Mathematics f
3.016 Mathematics for Materials Scientists and Engineers (MIT)
This course covers the mathematical techniques necessary for understanding of materials science and engineering topics such as energetics, materials structure and symmetry, materials response to applied fields, mechanics and physics of solids and soft materials. The class uses examples from the materials science and engineering core courses (3.012 and 3.014) to introduce mathematical concepts and materials-related problem solving skills. Topics include linear algebra and orthonormal basis, eigen
2.035 Special Topics in Mathematics with Applications: Linear Algebra and the Calculus of Variations
This course forms an introduction to a selection of mathematical topics that are not covered in traditional mechanical engineering curricula, such as differential geometry, integral geometry, discrete computational geometry, graph theory, optimization techniques, calculus of variations and linear algebra. The topics covered in any particular year depend on the interest of the students and instructor. Emphasis is on basic ideas and on applications in mechanical engineering. This year, the subject
18.304 Undergraduate Seminar in Discrete Mathematics (MIT)
This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic.
18.098 Street-Fighting Mathematics (MIT)
This course teaches the art of guessing results and solving problems without doing a proof or an exact calculation. Techniques include extreme-cases reasoning, dimensional analysis, successive approximation, discretization, generalization, and pictorial analysis. Applications include mental calculation, solid geometry, musical intervals, logarithms, integration, infinite series, solitaire, and differential equations. (No epsilons or deltas are harmed by taking this course.) This course is offere
18.310C Principles of Applied Mathematics (MIT)
Principles of Applied Mathematics is a study of illustrative topics in discrete applied mathematics including sorting algorithms, information theory, coding theory, secret codes, generating functions, linear programming, game theory. There is an emphasis on topics that have direct application in the real world. This course was recently revised to meet the MIT Undergraduate Communication Requirement (CR). It covers the same content as 18.310, but assignments are structured with an additional focu
18.311 Principles of Applied Mathematics (MIT)
This course is about mathematical analysis of continuum models of various natural phenomena. Such models are generally described by partial differential equations (PDE) and for this reason much of the course is devoted to the analysis of PDE. Examples of applications come from physics, chemistry, biology, complex systems: traffic flows, shock waves, hydraulic jumps, bio-fluid flows, chemical reactions, diffusion, heat transfer, population dynamics, and pattern formation.
SP.2H3 Ancient Philosophy and Mathematics (MIT)
Western philosophy and theoretical mathematics were born together, and the cross-fertilization of ideas in the two disciplines was continuously acknowledged throughout antiquity. In this course, we read works of ancient Greek philosophy and mathematics, and investigate the way in which ideas of definition, reason, argument and proof, rationality and irrationality, number, quality and quantity, truth, and even the idea of an idea were shaped by the interplay of philosophic and mathematical inquir
Square One TV: The Mathematics Of Love: Roman Numerals I-X
Classic square one sketch/song about roman numerals. Teaches roman numerals 1-10, also 1000 (M). (6:17)