Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

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    Calculus 2 for Informaticians

    A tantárgy neve magyarul / Name of the subject in Hungarian: Analízis 2 informatikusoknak

    Last updated: 2022. augusztus 29.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics
    BSc Program, Computer Engineering.
    Course ID Semester Assessment Credit Tantárgyfélév
    TE90AX57 2 4/2/0/v 6  
    3. Course coordinator and department Dr. Tasnádi Tamás Péter,
    5. Required knowledge Calculus 1 for Informaticians (BMETE90AX21)
    6. Pre-requisites
    Kötelező:
    ((TárgyTeljesítve_Képzésen("BMETE90AX21") VAGY
    TárgyTeljesítve_Képzésen("BMETEMIBSVANL1-00"))

    ÉS NEM TárgyTeljesítve_Képzésen("BMETE90AX22") )

    VAGY EgyenCsoportTagja("Kreditpótlás_2023/24/2")

    A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

    A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

    Ajánlott:

    Required: Calculus 1 for Informaticians (BMETE90AX21)

    Recommended: -

    7. Objectives, learning outcomes and obtained knowledge Introduction of the basic concepts of mathematical analysis. Developing basic skills for problem solving.
    8. Synopsis

    Chapter 1: Ordinary differential equations (2.5 weeks)

    Week 1: Basic concepts. Separable differential equations.

    Week 2: First order linear differential equations. Changing variables. Slope field, isocline.

    Week 3: Higher order linear differential equations. External and internal resonance.

    Chapter 2: Linear recursion (0.5 week)

    Week 3: Fibonacci sequence. Fibonacci-type sequences.

    Chapter 3: Numerical end function series (5 weeks)

    3.1 Numerical series (2 weeks)

    Week 4: Sum of a series. Examples: geometric series, telescopic series, harmonic series. Arithmetic rules. Alternating series.

    Week 5: Absolute and conditional convergence. Convergence tests: comparison, ratio, root and integral tests.

    3.2 Basic properties of function series (1 week)

    Week 6: Domain of convergence, sum of a function series, examples. Uniform and absolute convergence. Weierstrass' criterion. Sufficient condition for the continuity of the sum, for the termwise integrability and differentiability of the series.

    3.3 Power series (2 weeks)

    Week 7: Radius of convergence. Cauchy-Hadamard formula. Taylor polynomial.

    Week 8: Taylor series. Taylor expansion of common functions. Binomial series.

    Chapter 4: Multivariable functions (3.5 weeks)

    4.1 Limit, continuity (0.5 week)

    Week 9: Visualizing multivariable functions. Limit and continuity of multivariable functions.

    4.2 Differentiation (1.5 weeks)

    Week 9: Partial derivatives, total derivative (gradient), tangent plane, directional derivative.

    Week 10: Young's theorem. Local extrema.

    4.3 Integration (1.5 weeks)

    Week 11: Double and iterated integrals over rectangular, type I and type II regions.

    Week 12: Integral transformation. Planar polar, cylindrical and spherical polar coordinates.

    Chapter 5: Fourier analysis (1.5 weeks)

    Week 12: The trigonometric system. Fourier series. Examples.

    Week 13: Fourier transformation. (Definition, properties, examples.)

     

    9. Method of instruction 4 hours of lectures and 2 hours of practice per week.
    10. Assessment

    Requirements for the signature:

    • Attendance of at least 70% of the practices
    • Completion of both tests with a minimal result of 40%

    Indoor tests:

    There are 2 indoor, written tests during the semester.

    Requirements for the grade:

    • Having the signature
    • Completion of the (indoor, written) exam with a minimal result of 40%
    The grade is determined by the weighted average of the two indoor tests (25%, 25%) and the exam (50%), based upon the following marking ranges: 40%, 55%, 65%, 80%.
    11. Recaps

    Regulated by the general rules and the actual lecturer.

    12. Consultations Organized, announced by the actual lecturer.
    13. References, textbooks and resources

    Thomas' Calculus.

    Other materials may be announced by the actual lecturer.

    14. Required learning hours and assignment
    Classes (in hours)
     84
    Preparation for classes (in hours) 24
    Preparation for tests (in hours) 32
    Homework
     -
    Self-study of given written materials
     -
    Exam preparation (in hours) 40
    Total (in hours) 180
    15. Syllabus prepared by

    dr. Fritz Józsefné, associate professor, Department of Analysis, Faculty of Natural Sciences, Institute of Mathematics.

    dr. Tasnádi Tamás, assistant professor, Department of Analysis, Faculty of Natural Sciences, Institute of Mathematics.


    IMSc program According to the general rules. Details are given by the actual lecturer.
    IMSc score According to the general rules. Details are given by the actual lecturer.