Mathematics I
Code  Completion  Credits  Range  Language 

17PBOMA1  Z,ZK  5  2P+2C  Czech 
 Lecturer:
 Eva Feuerstein (guarantor)
 Tutor:
 Eva Feuerstein (guarantor), Lucie Drbohlavová, Tomáš Parkman, Jana Urzová
 Supervisor:
 Department of Natural Sciences
 Synopsis:

The subject is an introduction to differential calculus, linear algebra, and applications in analytical geometry .
Differential calculus: intro to sets of numbers (natural, rational, irrational), sequences of real numbers (bounded, unbounded, monotonous, convergent, divergent), realvalued functions of one independent real variable (injective, monotonous, continuous, differentiable), inverse functions, differential of a function, Taylor polynomials, number series.
Linear algebra: intro to solving linear algebraic systems of equations (LAES), Gaussian elimination algorithm for solving LAES, intro to vector spaces (linear combination of vectors, linear dependence/independence of a set of vectors, basis and dimension of a vector space), intro to matrix algebra (matrix operations, rank of a matrix, determinant and methods of calculation, matrix inverse, eigenvalues and eigenvectors of a matrix).
Conic sections (parabola, circle, ellipse, hyperbola )and quadric surfaces(paraboloid, ellipsoid, hyperboloid).
 Requirements:

Seminars assesment:
a) Compulsory attendance of all seminars.
b) Activities at seminars will be checked by minitests. There will be 8 minitests during the semester, evaluated by 5 points each. Total sum MT = 0  40 points.
c) Midterm tests
1st midterm test in 7th week and 2nd midterm test in 13th week of the semester.
Midterm test consists of 4 tasks, each task evaluated by 5 points (maximum 20 points at each midterm test).
A student must gain at least 9 points at one midterm test, but minimum gained from both midterm tests must be at least 20 points. So, total sum VT=2040 points.
Student's grading from seminars transferred for the exam:
MT/8+VT/4=minimum 5 maximum 15 points.
Exam:
Assesment of Seminars registered by repective teacher in KOS.
Exam is only in written form, lasts 90 minutes.
It is forbidden to use a calculator or a mobile phone during the exam.
The exam consists of
a) 7 tasks, evaluated by 10 points each, in total maximum 70 points
b) 5 tests, evaluated by 3 points each, in total maximum 15 points
c) transferred points maximum 15 points
Total maximum 100 points
Exam grading
A: 90100, B: 8089, C: 7079, D: 6069, E: 5059, F: less than 50
 Syllabus of lectures:

1. Sets of numbers, sequences of real numbers, limit of a sequence, properties of sequences (monotonous, bounded, convergent or divergent sequence), realvalued functions of one independent real variable, function properties (injective, bounded, unbounded, even, odd, periodic functions), operations with functions, compound functions, inverse function.
2. Review of elementary functions (polynomials, trigonometric functions, inverse trigonometric functions, exponential function, logarithmic function), limit of a function definition, techniques and rules for finding limits of a function, improper limits, limits in infinity, continuous functions, properties of continuous functions in a closed interval.
3. Asymptotes of a function horizontal, vertical, oblique. Derivative of a function, rules and techniques for computing derivatives, derivative of a compound function, derivative of an inverse function, differential of a function and its application.
4. Tangent lines of a functions, L' Hospital rule, rules and techniques for computing higher order derivatives of a function, Taylor polynomial, Taylor's theorem in one real variable.
5. Local and global extremes of a function, monotonicity and the sign of the first derivative of a function, first and second derivatives use to find the graph of a given function.
6. Real number series, convergence criteria, sum of a series.
7. Systems of linear algebraic equations, Gaussian elimination algorithm for solving LAES, (Midterm Test No. 1)
8. Vector space  definition, examples, linear combination of vectors, linear dependence and independence of a family of vectors, linear span of a set of vectors, linear space and examples, basis and dimension of a linear space (or a subspace), dot product of two vectors.
9. Matrices, various types of matrices, rank of a matrix, operations with matrices, identity matrix, transpose of a matrix, matrix inverse, regular matrices, singular matrices.
10. Determinant of a square matrix, Sarrus? rule for calculating a determinant of a 3 by 3 matrix, Laplace rule, techniques for finding the inverse of a regular matrix.
11. Solvability of a system of linear algebraic equations, Frobenius theorem, structure of solution of a system of linear algebraic equations, methods for solving systems of linear equations, solving a system of linear algebraic equations with regular matrix  Cramer?s rule.
12. Eigenvalues and eigenvectors of square matrices.
13. Norm of a vector, angle of two vectors, dot product, vector product, and mixed (scalar triple) product and their application. (Midterm Test No. 2).
14. Selected tasks from analytical geometry in 2D and 3D Euclidian space, conics, quadric surfaces and their classification, various examples of exam tests solving.
 Syllabus of tutorials:

Problems to be solved:
1. Properties of given sequences, limits of various sequences, convergence or divergence of a sequence, elementary functions and their properties (injective, noninjective, even, odd, periodical), domain, range and graph of some elementary function.
2. Operations with functions, limit of a given function, techniques and rules for finding limits of a function, improper limits, limits in infinity, continuity of a given function, continuous functions in a closed interval.
3. Asymptotes of a given function horizontal, vertical, oblique. Practice techniques of differentiation of given functions derivative of a function, rules and techniques for computing derivatives, derivative of a compound function, derivative of an inverse function, differential of a function and its application.
4. Tangential lines for a given function, L' Hospital rule for finding limit of a function.
5. Local and global extremes of a function, monotonicity and the sign of the first derivative of a function, first and second derivatives use to find the graph of a given function. Taylor polynomial.
6. Analysis of properties of a given function, graph of the function.
7. Examples of series, geometrical series, convergence criteria, sum of a series.
8. Systems of linear algebraic equations, practice Gaussian elimination algorithm for solving LAES.
9. Vector space properties, linear dependence or independence of a family of vectors, linear space and examples, basis and dimension of a linear space (or a subspace) examples.
10. Dot product, operations with matrices, rank of a matrix, transpose of a matrix, matrix inverse, regular matrices, singular matrices. GaussJordan elimination method for calculating inverse of a given matrix.
11. Sarrus rule for calculating a determinant of a 3 by 3 matrix, Laplace rule, techniques for finding the inverse of a regular matrix, solving matrix equations.
12. Application of Frobenius theorem, finding all solutions of a system of linear algebraic equations, Gausssian elimination method for solving systems of linear equations, solving a system of linear algebraic equations with regular matrix  Cramer?s rule.
13. Norm of a vector, angle of two vectors, dot product, vector product, and mixed (scalar triple) product and their application. (Test No. 2).
14. Selected tasks from analytical geometry in 2D and 3D Euclidian space, conics, quadric surfaces and their classification.
 Study Objective:

To gain necessary theoretical background of respected introductory fields of mathematics. By the end of the course students will be able to apply the knowledge in solving various practical problems in the field of fundamental differential calculus, linear algebra, conic sections and quadric surfaces and their applications.
 Study materials:

[1] Neustupa J.: Mathematics 1, skriptum ČVUT, 2004
[2] Bubeník F.: Problems to Mathematics for Engineers, skriptum ČVUT, 2007
 Note:
 Timetable for winter semester 2019/2020:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Fri Thu Fri  Timetable for summer semester 2019/2020:
 Timetable is not available yet
 The course is a part of the following study plans:

 Optics and Optometry  fulltime (compulsory course)
 Optics and Optometry  fulltime (compulsory course)