| Academic year 2020/2021 | 
| 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. | |||
| 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 | 2 | Elective | 1 | 2 | W | 
Faculty of Mechanical Engineering
   Brno University of Technology
   Technická 2896/2
   616 69 Brno
   Czech Republic
  
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