The programme is available in 2 duration modes:
- 6 Months
- 9 Months
Introduction to Linear Algebra
Course title : Introduction to Linear Algebra
Unlock the fundamentals of Linear Algebra with our comprehensive course. Dive into matrices, vectors, and systems of linear equations, essential for fields like computer science, engineering, and mathematics. Master concepts like matrix operations, determinants, and eigenvalues, crucial for problem-solving and data analysis. Whether you're a student or a professional, this course provides a solid foundation for understanding complex mathematical concepts and their real-world applications. Join us to elevate your skills and excel in Linear Algebra.
Description
Unlock the power of Linear Algebra with our comprehensive course. Explore fundamental concepts including matrices, vectors, and systems of linear equations essential for various disciplines such as computer science, engineering, and mathematics. Master matrix operations, determinants, and eigenvalues crucial for problem-solving and data analysis. Whether you're a student or a professional, this course provides a solid foundation for understanding complex mathematical concepts and their real-world applications. With interactive lessons and practical examples, you'll develop proficiency in Linear Algebra, enhancing your skills for academic success and career advancement. Join us to embark on a journey of discovery and mastery in Introduction to Linear Algebra.
Why Online ?
- Cost effective - Typically UK diploma starts from GBP £3000 per annum, but with online study, you can enjoy saving more than 60% on your educational investment.
- Practical Content - The coursework is immediately applicable to the careers, and you can earn long-term gains including increase in salary and promotions
- Study anytime, anywhere - You don't have to attend a College campus, so you can study from anywhere in the world. The online delivery enables you to download the lecture notes, submit assignments wherever you are.
- Assessments - Assessment is via assignment submission
Who is this course for?
Career path
Career options for those proficient in Linear Algebra include data analyst, machine learning engineer, software developer, financial analyst, research scientist, and operations researcher. Industries such as technology, finance, healthcare, and engineering regularly seek professionals with strong Linear Algebra skills for roles involving data analysis, modeling, optimization, and algorithm development. With the increasing importance of data-driven decision-making, proficiency in Linear Algebra opens doors to lucrative career opportunities across various sectors. Invest in your future by mastering Linear Algebra and unlock a wide array of career paths in high-demand fields.
Duration
Course Delivery
Online
Entry Requirements
In order to apply you should have either:
- OR;
Course Content
-
Foundations of Linear Algebra
- Definition of vectors and matrices
- Basic operations on vectors and matrices
- Systems of linear equations and their representations
-
Matrix Operations
- Addition, subtraction, and scalar multiplication of matrices
- Matrix multiplication and its properties
- Transpose and inverse of matrices
-
Determinants
- Introduction to determinants
- Properties and calculation of determinants
- Applications of determinants in solving systems of equations
-
Vector Spaces
- Understanding vector spaces and subspaces
- Basis, dimension, and linear independence
- Span and coordinate systems in vector spaces
-
Eigenvalues and Eigenvectors
- Eigenvalues and eigenvectors definition
- Diagonalization of matrices
- Applications of eigenvalues in various fields
-
Linear Transformations
- Definition and properties of linear transformations
- Matrix representation of linear transformations
- Kernel and image of linear transformations
-
Applications in Data Analysis
- Using linear algebra in data manipulation
- Singular Value Decomposition (SVD)
- Principal Component Analysis (PCA)
-
Advanced Topics in Linear Algebra
- Orthogonality and inner product spaces
- Applications of linear algebra in cryptography
- Advanced matrix factorizations
-
Practical Implementations
- Using programming languages for linear algebra computations
- Real-world problem-solving exercises
- Project work to apply learned concepts
-
Review and Assessment
- Recap of key concepts
- Practice tests and quizzes
- Final project presentation and evaluation
Assessment
Assessment is via assignment submission
Fee Structure
The fee for the programme is as follows:
- 6 Months - Accelerated mode @ GBP £1250
- 9 Months - Standard mode @ GBP £950
Fee payment plans
The programme offers following fee payment plans:
-
6 months programme● Payment option (a): GBP £416 x 3 monthly instalments
● Payment option (b): GBP £1187.50 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)
9 months programme● Payment option (c): GBP £190 x 5 monthly instalments
● Payment option (d): GBP £475 x 2 quarterly instalments
● Payment option (e): GBP £902.50 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)
Accreditation
The programme is awarded by London School of International Business
How to apply?
Simply follow the 2 steps given below to apply:
1. Fill application form on-line at https://www.educationtraining.org.uk/enrolment-form/start.html
2. Pay application fee of GBP £10
(This can be paid online using credit or debit card)
Please visit our online application form to apply.