Linear Algebra 1a

2019 - 2020

0366-1111

Linear Algebra 1a

FACULTY OF EXACT SCIENCES

View groups

Group 01

Prof. David Ginzburg		005	Mon	0800-1000	Sem 1
	Classrooms - Dan David	001	Wed	0800-1000	Sem 1

Group 02

Prof. Amitay Eldar	Schreiber - Mathematics	006	Tue	1700-1900	Sem 1
		007	Tue	1500-1600	Sem 1

Group 03

Prof. Asaf Cohen		007	Mon	1200-1400	Sem 1
		007	Wed	1800-1900	Sem 1

Group 04

Prof. Semion Alesker		005	Tue	1500-1700	Sem 1
		009	Tue	1500-1700	Sem 1

Group 05

Prof. Ofir Karin	Schreiber - Mathematics	006	Tue	1400-1500	Sem 1
		007	Tue	1700-1900	Sem 1

Group 06

Prof. Limor Fridman	Shenkar - Physics	204	Tue	1700-2000	Sem 1

Group 07

Prof. Eyal Kaplan	Ornstein - Chemistry	103	Tue	1700-1900	Sem 1
	Ornstein - Chemistry	103	Tue	1900-2000	Sem 1

Group 08

Prof. Dan Haran	Ornstein - Chemistry	103	Tue	1700-1900	Sem 2
	Schreiber - Mathematics	006	Tue	1500-1700	Sem 2

Group 09

Prof. Roni Himmel		007	Tue	1500-1700	Sem 2
	Schreiber - Mathematics	006	Tue	1700-1800	Sem 2

Group 10

Prof. Alon Bek	Ornstein - Chemistry	103	Mon	1000-1200	Sem 1
	Shenkar - Physics	104	Wed	1800-1900	Sem 1

Group 11

Prof. Eyal Kaplan	Shenkar - Physics	104	Tue	1500-1700	Sem 2
	Shenkar - Physics	204	Tue	1900-2000	Sem 2

Group 90

Prof. Tom Benhamou			Mon	1500-1630	Sem 2

Group 91

Prof.			Wed	1500-1630	Sem 2

Course description

Systems of linear algebraic equations. Gauss' elimination algorithm. Matrix calculus, basic operations, inverse matrix. Determinants. Vector spaces over a field. Linear dependence. Basis, dimension. Linear subspace. Linear maps. Matrix of a linear map. Kernel, image, and rank of a linear map. Isomorphism. Linear functional. Dual vector space. Scalar product, Euclidean and unitary spaces. Cauchy-Schwarz inequality. Orthonormal basis. Gram-Schmidt orthogonalization. Orthogonal and unitary matrices.

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