Courses
- Preparation Course Mathematics (7202) תקציר הקורס:
- Preparation Course Mathematics1 (7212) תקציר הקורס:
- Differential And Integral Calculus1 (90901) תקציר הקורס:
- Linear Algebra (90905) תקציר הקורס:
- Discrete Mathematics (90926) תקציר הקורס:
- Discrete Mathematics IBL (90955) תקציר הקורס:
Abstract:
This course contains review on algebraic operations,
solution of inequalities, solution of equations with parameters,
investigation of linear and quadratic equations. Definition of
the exponential func tion and the logarithm and their properties.
In addition, mathematical induction is studied and complex numbers,
elementary introduction in geometry and trigonometric identities.
The course also includes elementary concepts in
differential and integral calculus.Abstract:
This course contains review on algebraic operations,
solution of inequalities, solution of equations with parameters,
investigation of linear and quadratic equations.
Definition of the exponential func tion and the logarithm
and their properties. In addition, mathematical induction is
studied and complex numbers, elementary introduction in geometry
and trigonometric identities.
The course also includes elementary concepts in differential
and integral calculus.Abstract:
Real numbers. Sequences. Limit of a sequence. Limits and continuity of f?unctions. Intermediate value theorem. Weierstrass's theorem. The derivative. Techniques of differentiation. Fermat, Rolle and Lagrange theorems. L'Hopital's rule. Taylor polynomial approximations. The derivative in graphing and applications. The definite and indefinite integral. Principles on integral evaluation: integration by parts and by substitution. The fundamental theorem of calculus (Newton-Leibniz). Improper integral.Abstract:
The first part of the course is dedicated to study of techniques for
solving systems of linear equations. Several basic methods are presented:
Gauss elimination, matrix solution, Cramer rule.
The last two methods involve matrix arithmetic,
which is also presented in this part. The second part discusses vector spaces and linear transformations. Most attention is given
to the matrix approach. Matrix diagonalization issues summarize this part.
The last part of the course study inner product spaces and their basic properties.