Academic year 2018/2019 |
Supervisor: | doc. Mgr. Jaroslav Hrdina, Ph.D. | |||
Supervising institute: | ÚM | |||
Teaching language: | Czech | |||
Aims of the course unit: | ||||
Students will be made familiar with fundaments of algebra, linear algebra, graph theory and geometry. They will be able to apply it in various engineering tasks. | ||||
Learning outcomes and competences: | ||||
The course makes access to mastering in a wide range of results of algebra. Students will apply the results while solving technical problems. | ||||
Prerequisites: | ||||
Basics of linear algebra. | ||||
Course contents: | ||||
In the course Applied Algebra for Engineers, students are familiarised with selected topics of algebra. The acquired knowledge is a starting point not only for further study of algebra and other mathematical disciplines, but also a necessary assumption for a use of algebraic methods in a practical solving of problems in technologies. | ||||
Teaching methods and criteria: | ||||
The course is taught through lectures explaining the basic principles and theory of the discipline. | ||||
Assesment methods and criteria linked to learning outcomes: | ||||
Course credit: the attendance, satisfactory solutions of homeworks | ||||
Controlled participation in lessons: | ||||
Lectures: recommended | ||||
Type of course unit: | ||||
Lecture | 13 × 2 hrs. | optionally | ||
Course curriculum: | ||||
Lecture | 1. Vector spaces, basis, the group SO(3). Application: Rotation of the Euclidean space. 2. Change of basis matrix, moving frame method. Application: The robotic manipulator. 3. Universal covering, matrix eponential, Pauli matrix, the group SU(2). Application: Spin of particles. 4. Permutation groups, Young tableaux. Application: Particle physics, representations of groups. 5. Homotopy, the fundamental group. Application: Knots in chemistry and molekular biology. 6. Polynomial algebras, Gröbner basis, polynomial morphisms. Application: Nonlinear systems, implicitization, multivariable cryptosystems. 7. Graphs, skeletons of graphs, minimal skeletons. Application: Design of an electrical network. 8. Directed graphs, flow networks. Application: Transport, 9. Linear programming, duality, simplex method. Application: Ratios of alloy materials. 10. Applications of linear programming in game theory. 11. Integer programming, circular covers. Application: Knapsack problem. 12: A reserve. |
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Literature - fundamental: | ||||
1. Bogopolski, O., Introduction to Group Theory, EMS 2008 | ||||
2. Leon, S.J., Linear Algebra with Applications, Prentice Hall 2006 | ||||
3. Rousseau Ch., Mathematics and Technology, Springer Undergraduate Texts in Mathematics and Technology Springer 2008 | ||||
4. Motl, L., Zahradník, M., Pěstujeme lineární algebru, Univerzita Karlova v Praze, Karolinum, 2002 | ||||
5. Nešetřil, J., Teorie grafů, SNTL, Praha 1979 |
The study programmes with the given course: | |||||||||
Programme | Study form | Branch | Spec. | Final classification | Course-unit credits | Obligation | Level | Year | Semester |
B3S-P | full-time study | B-STI Fundamentals of Mechanical Engineering | -- | Cr | 0 | Elective (voluntary) | 1 | 2 | W |
Faculty of Mechanical Engineering
Brno University of Technology
Technická 2896/2
616 69 Brno
Czech Republic
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