Study guides, Class notes & Summaries
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Cognitive Neuroscience Princeton University Ivy League
- Class notes • 38 pages • 2023
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NEU 202/PSY 259: Cognitive Neuroscience at Princeton University Ivy League. These notes cover in depth the first half of the course up to the midterm and earned this student an A and nearly a perfect score on this courses midterm. These notes will be helpful for any intro neuroscience or psychology course as it covers a wide range of relevant topics.
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MAT 215 Class Notes
- Class notes • 33 pages • 2023 Popular
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A set of most of the lectures' notes from MAT 215 at Princeton University (Single Variable Analysis with an Introduction to Proofs) typed up in LaTeX for legibility and organization. The class closely follows the first 6-7-ish chapters of Walter Rudin's Principles of Mathematical Analysis, so the notes are good as a notes for the book in general.
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MOL 214; 1st exam summary notes
- Summary • 28 pages • 2024
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MOL 214; 1st exam summary notes 
 
* Summary notes for the very first exam 
* Detailed 
* Comprehensive 
* For students
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Linear Algebra Lecture Notes (ALL) Package Deal
- Package deal • 22 items • 2023
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contains all 22 lecture notes
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Lecture 1: Linear Systems and Matrices
- Class notes • 2 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
1.1 Introduction to Linear Systems
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Lecture 2: Vectors and Linear Combinations
- Class notes • 2 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
1.2 Matrices, Vectors, and Gauss-Jordan Elimination 
1.3 On the Solutions of Linear Systems; Matrix Algebra
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Lecture 3: Linear Transformations
- Class notes • 3 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
2.1 Introduction to Linear Transformations and Their Inverses
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Lecture 4: Orthogonal Projections
- Class notes • 3 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
2.2 Linear Transformations in Geometry
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Lecture 5: Matrix Multiplication and Inverse Matrices
- Class notes • 3 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
2.3 Matrix Products 
2.4 The Inverse of a Linear Transformation
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Lecture 6: Image and Kernel
- Class notes • 2 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
3.1 Image and Kernel of a Linear Transformation
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Lecture 7: Span and Basis
- Class notes • 3 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
3.2 Subspaces of R^n; Bases and Linear Independence
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Lecture 8: Rank-Nullity Theorem and Coordinates
- Class notes • 3 pages • 2023
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Linear Algebra with Applications (Fifth Edition) by Otto Bretsch 
3.3 The Dimension of a Subspace of R^n 
3.4 Coordinates
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