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Engineering Analysis (1)

IE2101
4 hours English

Engineering Analysis (1)

Engineering Analysis 1
1 Systems of Linear Equations
2 Row Echelon Form (Gaussian Elimination) and Elementary Row Operation
3 Gauss-Jordan Elimination, Homogeneous systems with Trivial or nontrivial soluations
4 Introduction to matrices (Matrix Algebra)
5 Operations with matrices, properties of matrix operations, the inverse of a matrix
6 Determinants of a matrix
7 Properties of determinants and its applications
8 Vectors and vector spaces
9 Vectors in Rn , Subspaces of vector spaces
10 Spanning sets and linear independence
11 Basis and dimensions
12 Introduction to Linear Transformations
13 Two simple of linear transformation
14 Matrices for linear transformations
15 The Eigenvalues Problem
1.1 Mapped to: K1

Understand the methods of solving a system of linear equation

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
1.2 Mapped to: K1

Know the basic matrix algebra

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
1.3 Mapped to: K2

Integrate and apply the knowledge of linear transformation concepts and their applications in the engineering area.

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
1.4 Mapped to: K2

List theorems about determinant

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
2.1 Mapped to: S1

Classify and solve linear systems of linear algebraic equations.

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
2.2 Mapped to: S1

Solve Homogeneous systems with either trivial solution or infinitive solutions

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
2.3 Mapped to: S2

Analyze the basic notions of linear systems, vectors, matrix algebra, and vector spaces.

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
2.4 Mapped to: S2

Use computational skills and interpret results accurately.

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
2.5 Mapped to: S4

Integrate the use of computer applications in linear algebra

Teaching Strategy Lectures Homewor Interactive and independent learning
Assessment Methods Lectures Homewor Interactive and independent learning
3.1

NA