Loughborough University (LU)
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287
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7
Majors at Loughborough University (LU)
Notes available for the following studies at Loughborough University (LU)
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BA ENGLISH 38
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Banking, Finance and Managment 13
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Communicantion 16
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Economics 3
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Electrical and Electronic Engineering 1
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Geography 10
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Information Management and Business 17
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International Business 1
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LLB Law 22
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Loughborough University 54
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Mechanical Engineering 1
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Physics 1
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Sport and Exercise Physiology 1
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Sport and Exercise Science 3
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Sport Management 6
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Sport Science 1
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Sports Science 3
Latest notes & summaries Loughborough University (LU)
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Providing lecture notes for Introduction to Organizational Behavior and Ability and Intelligence and includes key theories.
- Class notes
- • 15 pages's •
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Loughborough University•Organisational Behaviour
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Providing lecture notes for Introduction to Organizational Behavior and Ability and Intelligence and includes key theories.
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Notes defining Hermitian forms on vector spaces, including various theorems that can be used when working with or finding them.
- Class notes
- • 16 pages's •
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Loughborough University•Linear Algebra 2
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Notes defining Hermitian forms on vector spaces, including various theorems that can be used when working with or finding them.
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These notes go into more explicit detail on the practical algorithms for converting a quadratic form into canonical form. They also include a number of examples to help grasp it.
- Class notes
- • 22 pages's •
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Loughborough University•Linear Algebra 2
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These notes go into more explicit detail on the practical algorithms for converting a quadratic form into canonical form. They also include a number of examples to help grasp it.
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Notes defining and covering theorems related to Orthogonal Matrices.
- Class notes
- • 4 pages's •
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Loughborough University•Linear Algebra 2
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Notes defining and covering theorems related to Orthogonal Matrices.
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We have previously defined both Quadratic and Bilinear Forms. This set of notes covers the process for converting these to Canonical Form.
- Class notes
- • 11 pages's •
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Loughborough University•Linear Algebra 2
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We have previously defined both Quadratic and Bilinear Forms. This set of notes covers the process for converting these to Canonical Form.
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Notes defining Euclidean Vector Spaces, Gram Matrices and Orthogonal Matrices; with examples of each. Also includes a proof of the Cauchy-Bunyakovsky-Schwarz Inequality.
- Class notes
- • 13 pages's •
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Loughborough University•Linear Algebra 2
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Notes defining Euclidean Vector Spaces, Gram Matrices and Orthogonal Matrices; with examples of each. Also includes a proof of the Cauchy-Bunyakovsky-Schwarz Inequality.
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Notes on solving Cauchy problems using matrix concepts such as matrix powers, diagonalisability and eigenspaces. Includes various examples including the Fibonacci sequence.
- Class notes
- • 12 pages's •
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Loughborough University•Linear Algebra 2
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Notes on solving Cauchy problems using matrix concepts such as matrix powers, diagonalisability and eigenspaces. Includes various examples including the Fibonacci sequence.
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Notes discussing theorems for quadratic forms on ℝ vector spaces including rigorous proofs.
- Class notes
- • 4 pages's •
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Loughborough University•Linear Algebra 2
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Notes discussing theorems for quadratic forms on ℝ vector spaces including rigorous proofs.
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Notes defining Bilinear Forms, Matrices of Bilinear Forms and Coordinate Representations. Covers concepts such as Rank, Symmetric and Skew-Symmetric Matrices, and Congruence.
- Class notes
- • 10 pages's •
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Loughborough University•Linear Algebra 2
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Notes defining Bilinear Forms, Matrices of Bilinear Forms and Coordinate Representations. Covers concepts such as Rank, Symmetric and Skew-Symmetric Matrices, and Congruence.
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Notes defining and giving examples of linear maps. Also includes elementary operations for linear maps as well as introducing the concept of Kernels and Images and the Rank-Nullity Formula for linear maps.
- Class notes
- • 27 pages's •
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Loughborough University•Linear Algebra 1
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Notes defining and giving examples of linear maps. Also includes elementary operations for linear maps as well as introducing the concept of Kernels and Images and the Rank-Nullity Formula for linear maps.