The aim of giving this course is to familiarize the student with a great deal of important and comprehensive topics, from which he will benefit greatly in other courses after passing this course. Among the general objectives that the student acquires after successfully completing the course is his study of vectors and their properties, as well as his study of vector spaces, vector space conditions, and knowledge of subspace , and proving some related theories, knowing the concept of linear structure, correlation, linear independence, the generated group, knowing the concept of base and dimension, as well as learning about linear transformations and the internal multiplication space and its properties, and comparing eigenvalues and eigenvectors, and being able to link all the skills and experiences he learned from This course is similar to other skills in other locations.
Intended learning outcomes
One of the most important educational outcomes that the student gained from this course is to identify vectorial spaces and the basic concepts related to them, and to distinguish between linear independence, linear correlation, and the generated group. To explain solutions well, especially those related to matrices. Distinguish between types of vectorial spaces, and to know the space of rows and columns, as well as the space of Inner multiplication describes well the solutions of eigenvalues and eigenvectors. Learn about important theories such as Kelly Hamilton's theory and its applications. He mentions what he studied in Linear Algebra 1 and uses it in Linear Algebra 2 as a feedback.
Teaching and learning methods
I used many teaching methods in my explanation of this course so that the students do not feel bored, and the subject of the lesson as well as the level of the students determines the appropriate teaching method. Students exchange degrees to instill a spirit of competition among them.
Methods of assessments
Midterm exam, final exam, assignments, participation and activity inside the hall