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Linear Algebra Level 2 (8 Sessions)

Linear algebra is central to almost all areas of mathematics. Linear algebra is also used in most sciences and fields of engineering, because it allows modeling many natural phenomena, and computing efficiently with such models. 

In this course, we will teach the key concepts Linear Algebra, following the curriculum in Linear Algebra Done Right textbook, together using practical example via open source software such as Python Numpy Linear Algebra library and Octave.

Course Schedule

  • No of Sessions: 8 (4 weeks)
  • Duration Per Session : 1.5 hrs (7pm to 8:30pm)
  • Start on beginning of every month, Wednesday, Thursday
  • Platform: Zoom (preferred) or Face-to-Face
  • Class size: 1 to 5 pax
  • Age Group: 16 years old and above

If you are keen, you can register your interest first. We will send you the payment link once the class is confirmed.

Course Code: K867b

Course Booking

$800.00 (GST-exclusive)
$872.00 (GST-inclusive)

Course Date

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Lesson 1: Invertibility and Isomorphic of Vector Spaces
Lesson 2: Products of Vector Spaces
Lesson 3: Quotient of Vector Spaces
Lesson 4: Dual Spaces and Dual Maps
Lesson 5: Annihilators and the Matrix of Dual Maps
Lesson 6: Polynomials
Lesson 7: Invariant Subspaces
Lesson 8: Existence of Eigenvalues
Lesson 9: Upper Triangular Matrices
Lesson 10: Eigenspaces and Diagonal Matrices
Lesson 11: Inner Products
Lesson 12: Norm

 

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