Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Linear Algebra - Foundations to Frontiers course offered by the University of Texas at Austin available on the edx platform is a package of expertly crafted course material and follows a different approach of teaching to benefit their learners with deep knowledge.
The course provides the participants with subjective knowledge of partitioned matrices, linear transformations, matrices, vector spaces and systems of linear equations, characteristics of special matrices, subspaces, and algorithms for matrix computations, eigenvalues, eigenvectors, linear least-squares, and characterizations of linear independence.
The course follows a visual, applicable, and illustrative method of teaching linear algebra that makes this course a golden opportunity for candidates residing worldwide. This self-paced course offers flexible learning and makes it suitable for working professionals. The course is recommended for engineers, scientists, mathematicians, and people dealing with large datasets.
The course also comes in handy to graduates and undergraduates studying in this field. At the end of the course, a verified certificate is awarded to the candidates which acts as a bonus and serves the candidate's purpose of taking this course. There is a time frame for the candidates to finish the course in case they have selected the audit track progressing at their speed. Whereas if they have selected the verified track, they will have unlimited time access to finish the course.
The Highlights
- The course duration of 15 weeks
- Course by University of Texas
- Self-paced learning with a time barrier
- Demo classes
- Assigned work of 6-10 hours per week
- Availability of free MATLAB licenses for candidates during the course
- Shareable verified certificate
- Flexible learning
Programme Offerings
- Short videos
- Lectures
- Programming Assignments
- tests
- Online discussion forum
- Reading assignments
- Homework
- MATLAB online assignments
- Exercises to build insight.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 8387 | yes | University of Texas, Austin |
The fee details of the Linear Algebra - Foundations to Frontiers course are:
- The course material is offered free of cost
- The price of the verified certificate is Rs. 8,387
The Linear Algebra - Foundations to Frontiers fee details
Fee Category | Amount in Rupees |
Course fee | Nil |
Verified certificate fee | Rs. 8,387 |
Eligibility Criteria
Education
Candidates are required to have high school level knowledge of algebra, pre-calculus, and geometry before taking this course
Certification qualifying details
In order to receive the shareable verified certificate at the end of the course, the candidates are advised to opt for an upgrade to verified after paying the specific amount required for it. The verified certificate will be an instructor-signed certificate with the institution's logo that will act as motivation during the course.
What you will learn
In the Linear Algebra - Foundations to Frontiers course:
- Learners will gain knowledge of solving matrix-vector operations
- Candidates will gain hands-on experience in performing vector multiplication, vector addition, and vector subtraction
- Topics like Gaussian elimination, mathematical induction, and matrix inversion were introduced to the learners
- Candidates will get a chance to get familiar with connections between matrices, linear transformations, and systems of linear equations
- Candidates will get an overview of linear transformations and linear combinations
- Learners will become aware of the importance of the principle of mathematical induction for programming
- Candidates will gain insights into partitioned matrices and characteristics of special matrices
- Candidates will understand special matrices like the zero matrices, symmetric matrices, diagonal matrices, the identity matrix, triangular matrices, transpose matrix and will perform operations with matrices
- Learners will get knowledge about algorithms for matrix computations and solving systems of equations
- Candidates will learn vector spaces, subspaces, and characterizations of linear independence
Who it is for
The Linear Algebra - Foundations to Frontiers course is designed for candidates to gain hands-on experience in linear algebra and matrix. The course is extremely suitable for:
- Anyone interested in learning linear algebra
- Scientists dealing while dealing with mathematical induction and its principles
- Engineers to study linear algebra and link it to matrix software development.
- People working with large datasets
- Mathematicians performing matrix operations
Admission Details
The admission procedure of Linear Algebra - Foundations to Frontiers course requires candidates to navigate through the webpage of the course. In order to enrol these steps are to be followed by the candidates:
Step 1: Candidates are requested to visit the webpage of the course by clicking on this URL: https://www.edx.org/learn/linear-algebra/the-university-of-texas-at-austin-linear-algebra-foundations-to-frontiers
Step 2: Now the candidate needs to create their account by selecting the “register” button
Step 3: After registration, a mail will be sent to the candidate, the candidate is advised to click on the “activate your account” option visible in the mail in order to be able to log back into their account.
Step 4: Now the candidate needs to select this Linear Algebra - Foundations to Frontiers course among various courses available in the course catalog
Step 5: After choosing for the audit track the candidates can easily start their learning.
Note: For accessing the graded assignments and verified certificate the candidate is requested to select the “upgrade to verified” option after paying its definite price.
The Syllabus
Instructors
University of Texas, Austin Frequently Asked Questions (FAQ's)
Yes, the candidates can download some parts of the course material in pdf form for offline use. But the graded assignments and exams are not available for download.
Linear algebra, vector space, orthogonal vectors and spaces, gaussian elimination, QR factorization, solving linear systems, matrix-vector operations, and linear transformation are some topics dealt with during this course.
This course is highly recommended for:
- Engineers
- Participants who are interested in learning linear algebra
- Mathematicians
- Scientists
Yes, edx offers financial assistance of 90% to the candidates who want to opt for an upgrade to verify but cannot pay the required amount. Most of the edx courses are valid for financial assistance through candidates are advised to check first that their course is valid for financial assistance or not.
The course duration is 15 weeks. It is a self-paced course and assigns 6-10 hours of work per week and gives liberty to the candidates to learn at their own convenience.
Candidates can apply for financial assistance before the deadline to upgrade to a verified certificate. The deadline varies by course. Candidates can see the upgrade deadline in their course on the right side of the Home tab.
Unfortunately, no financial assistance is granted on a course basis. Once granted, financial assistance cannot be transferred to another course. If candidates like to apply for financial assistance for another course, they again have to apply for financial assistance.
Practical assignments, video lectures, tests, reading assignments, activities, homework, and MATLAB online assignments are the programme offerings.
Both the audit (free) and verified (paid) offers almost the same features of the discussion forum, videos, readings, ungraded practice problems. But graded assignments and verified certificates are only available for candidates who opt to upgrade to verified.
During the course, which language is used will not affect the learning so candidates are advised to use MATLAB since it will be supported by the platform of the course. The programming is only necessary to support the learning of linear algebra.