310-2301/01 – Mathematics 1 (Math 1)
        
        | Gurantor department | Department of Mathematics and Descriptive Geometry | Credits | 5 | 
| Subject guarantor | RNDr. Jan Kotůlek, Ph.D. | Subject version guarantor | RNDr. Jan Kotůlek, Ph.D. | 
| Study level | undergraduate or graduate |  |  | 
 |  | Study language | English | 
| Year of introduction | 2019/2020 | Year of cancellation |  | 
| Intended for the faculties | HGF, FMT, FAST, FBI, FS | Intended for study types | Bachelor | 
          
            Subject aims expressed by acquired skills and competences
          
          After completing this course, students should have the following skills:
* Use rules of differentiation to differentiate functions.
* Sketch the graph of a function using asymptotes, critical points.
* Apply differentiation to solve problems.
* Solve a system of linear algebraic equations.
* Work with basic objects in three dimensional Euclidean space.
          
            Teaching methods
          
          
            Lectures
              
            Individual consultations
              
            Tutorials
              
            
          
        
          
            Summary
          
          I. Calculus. 
 Function of one variable (basic notions, inverse function, elementary functions); 
 Limits and Continuity of a function; 
 Differentiation of a function (differentiation rules, application, L'Hospital's rule).
II. Linear algebra.
 Vector spaces;
 Matrices and determinants; 
 Systems of linear algebraic equations (Gaussian elimination, Frobeniu theorem). 
III.  Introduction to analytic geometry (lines and planes in E3, intersection, distance, angle).
          
            Compulsory literature:
          
          
          
            Recommended literature:
          
          
          
            Additional study materials
          
          
          
            Way of continuous check of knowledge in the course of semester
          
          Course-credit
-participation on tutorials is obligatory, 20% of absence can be apologized,
-elaborate programs,
-pass the written tests,
Point classification: 5-20 points.
Exam
Practical part of an exam is classified by 0 - 60 points. Practical part is successful if student obtains at least 25 points.
Theoretical part of the exam is classified by 0 - 20 points. Theoretical part is successful if student obtains at least 5 points. 
Point quantification in the interval 100 - 91     90 - 81     80 - 71     70 - 61     60 - 51     50 - 0
ECTS grade                               A           B           C           D           E           F 
Point quantification in the interval 100 - 86     85 - 66     65 - 51     51 - 0     
National grading scheme              excellent   very good  satisfactory  failed
          
            E-learning
          
          http://www.studopory.vsb.cz (in Czech)
          
            Other requirements
          
          There is no further requirements.
          
            Prerequisities
          
          
            
              Subject has no prerequisities.
            
          
          
            Co-requisities
          
          
            
              Subject has no co-requisities.
            
          
          
            Subject syllabus:
          
          1 Linear algebra. Operations with matrices. Determinants. Properties of determinants. 
2 Rank of a matrix. Inverse matrix. 
3 Solution of linear equations. Frobenius theorem. Cramer's rule.
4 Gaussian elimination algorithm. 
5 Real functions of one real variable. Definitions, graph. Function bounded, monotonous,
   even, odd, periodic. One-to-one function, inverse and composite functions.
6 Elementary functions. 
7 Limit of a function. Continuous and discontinuous functions. 
8 Differential calculus of one variable. Derivative of a function, its geometrical and 
   physical applications. Rules of differentiation. 
9 Derivatives of elementary functions. 
10 Differential functions. Derivative of a function defined parametrically. Derivatives of 
    higher orders. L'Hospital's rule. 
11 Use of derivatives to detect monotonicity, convexity and concavity features. 
12 Extrema of functions. Asymptotes. Graph of a function. 
13 Analytic geometry in E3. Scalar, cross and triple product of vectors and their properties. 
14 Equation of a line. Equation of a plane. Relative positions problems. 
   Metric or distance problems.
          
            Conditions for subject completion 
          
          
	
	
    
	
	
	
	 
          
        
          Occurrence in study plans
        
        
        
          Occurrence in special blocks
        
        
        
          Assessment of instruction
        
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