10.90.136.10: Created page with "= Analytic Geometry and Linear Algebra II = * '''Course name:''' Analytic Geometry and Linear Algebra II * '''Course number:''' XYZ * '''Subje..."

2021-07-30T09:56:52Z

Created page with "= Analytic Geometry and Linear Algebra II = * '''Course name:''' Analytic Geometry and Linear Algebra II * '''Course number:''' XYZ * '''Subje..."

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= Analytic Geometry and Linear Algebra II =

* '''Course name:''' Analytic Geometry and Linear Algebra II
* '''Course number:''' XYZ
* '''Subject area:''' Math

== Expected acquired core competences ==

* Group theory
* Coding theory

== Administrative details ==

* '''Faculty:''' Computer Science and Engineering
* '''Year of instruction:''' 1st year of BS
* '''Semester of instruction:''' 2nd semester
* '''No. of Credits:''' 4 ECTS
* '''Total workload on average:''' 144 hours overall
* '''Class lecture hours:''' 2 per week
* '''Class tutorial hours:''' 2 per week
* '''Lab hours:''' 2 per week
* '''Individual lab hours:''' 0
* '''Frequency:''' weekly throughout the semester
* '''Grading mode:''' letters: A, B, C, D

== Prerequisites ==

* Mathematical Analysis I
* Analytic Geometry and Linear Algebra I

== Course outline ==

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The concepts of linear algebra are extremely useful in physics, computer sciences, and engineering. Due to its broad range of applications, linear algebra is one of the most widely taught subjects in high-level mathematics.

== Expected learning outcomes ==

This course will provide an opportunity for participants to:

* understand key principles involved in solution of linear equations and the properties of matrices
* become familiar with the four fundamental subspaces.
* solve problems that connect projection matrices and least squares approximations.
* get hands-on experience with finding eigenvalues and eigenvectors for matrix diagonalization and solving system of differential equations.

== Textbook ==

*
*

== Reference material ==

*

== Required computer resources ==

No computer resources are required for this course.

== Evaluation ==

* Assignments (10%)
* Two intermediate tests (15% each)
* Mid-term Exam (30%)
* Final Exam (30%)

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10.90.136.10: Created page with "= Analytic Geometry and Linear Algebra II = * '''Course name:''' Analytic Geometry and Linear Algebra II * '''Course number:''' XYZ * '''Subje..."