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Mathematics I (MTH105)
❱
Week 1
Week 2
Week 3
Week 4
Week 5 (Exam)
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12 (Review)
Week 13
Physics I (PHY107)
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1. Physics and Measurement
2. Motion in One Dimension
3. Vectors
4. Motion in Two Dimensions
5. The Laws of Motion
6. Circular Motion and other Applications of Newton's Laws
7. Work and Kinetic Energy
8. Potential Energy and Conservation of Energy
9. Linear Momentum and Collisions
10. Rotation of a Rigid Object About a Fixed Axis
11. Rolling Motion and Angular Momentum
12. Static Equilibrium and Elasticity
Computer Programming I (COM103)
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0. Scratch
1. C
2. Arrays
3. Algorithms
4. Memory
5. Data Structures
Physics II (PHY108)
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1. Electric Fields
2. Gauss's Law
3. Electric Potential
4. Capacitance and Dielectrics
5. Current and Resistance
6. Direct Current Circuits
7. Magnetic Fields
8. Sources of Magnetic Field
9. Faraday's Law
10. Inductance
11. Alternating Current Circuits
12. Electromagnetic Waves
Mathematics II (MTH106)
❱
Week 1 (Review of Mathematics I)
Week 2 (Review of Mathematics I)
Week 3
Week 4
Week 5
Week 6 (Review)
Week 7 (Exam)
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Week 14 (Review)
Linear Algebra (MTH104)
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1. Introduction
2. Vectors, Systems of Linear Equations
3. Linear Independence, Basis, Dimensions
4. Linear Transformations and Matrix Algebra
5. Dot Products and Orthogonality
6. Types of Matrices
(Exam)
7. Determinants
8. Change of basis
9. Eigenvalues and Eigenvectors
10. Dot product and Cross product
(Review)
(Exam)
Light
Rust
Coal
Navy
Ayu
College Resources
9. Eigenvalues and Eigenvectors
Chapters (
Interactive Linear Algebra
):
5. Eigenvalues and Eigenvectors
5.1 Eigenvalues and Eigenvectors
5.2 The Characteristic Polynomial
5.3 Similarity
Videos:
3Blue1Brown: Eigenvectors and eigenvalues
3Blue1Brown: A quick trick for computing eigenvalues
Professor Dave Explains: Finding Eigenvalues and Eigenvectors
Kimberly Brehm: Eigenvectors and Eigenvalues
Kimberly Brehm: More About Eigenvectors and Eigenvalues
Kimberly Brehm: Determinants and the IMT
Kimberly Brehm: The Characteristic Equation