MAT2051 Linear Algebra IIBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT2051 Linear Algebra II Fall 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Instructor MAHMOUD JAFARI SHAH BELAGHI
Recommended Optional Program Components: None
Course Objectives: To introduce tensors and tensor algebra. To show students the tensors in relation with matrices, linear and multilinear mappings.

Learning Outcomes

The students who have succeeded in this course;
At the end of this course students will be able to use tensors and tensor algebra. Students will be able
1) to use tensor arithmetic in the development of multilinear algebra.
2) Students will have formulated the mathematical properties of mixed,exterior tensors
3) to grasp the relations between tensors and matrices,linear and multilinear mappings.
4) to understand structural properties of tensor product space and tensor product.

Course Content

Tensor product, Subspaces and factor spaces, Direct decompositions, Linear mappings, Tensor product of several vector spaces, Dual spaces, Finite dimensional vector spaces, Tensor product of vector spaces with additional structure, Tensor product of algebras,Tensor algebra, Tensors,Skew symmetric tensors,Skew symmetric mappings, Exterior algebra, mixed exterior algebra, The algebra ^(E,E*), Poincaré isomorphism, Homomorphisms, derivations and antiderivations, The operator i(a), Applications to linear transformations, Multilinear functions as tensors.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Preliminaries
2) Preliminaries
3) Tensor product
4) Examples of tensor product
5) Subspaces and factor spaces, Direct decompositions,Linear mappings
6) Tensor product of several vector spaces, Dual spaces, Finite dimensional vector spaces
7) Examples
8) Tensor product of vector spaces with additional structure,Tensor product of algebras
9) Tensor algebra, Tensors
10) Skew symmetric tensors, The factor algebra × E/N(E)
11) Skew symmetric mappings, Exterior algebra
12) Mixed exterior algebra, The algebra ^(E,E*), The Poincaré isomorphism
13) Homomorphisms, derivations and antiderivations, The operator i(a)
14) Applications to linear transformations, Multilinear functions as tensors

Sources

Course Notes / Textbooks: Multilinear algebra, Greub W.
References: .

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Midterms 2 % 45
Final 1 % 55
Total % 100
PERCENTAGE OF SEMESTER WORK % 45
PERCENTAGE OF FINAL WORK % 55
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 7 10 70
Homework Assignments 1 3 3
Quizzes 4 1 4
Midterms 2 2 4
Final 1 2 2
Total Workload 125

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 5
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 5
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 4
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 3
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, 4
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement, 1
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 5
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 2