# Computing

## Mathematical Analysis 2

- Class 90
- Practice 15
- Independent work 105

### Course title

Mathematical Analysis 2

### Lecture type

Obligatory

### Course code

183361

### Semester

2

### ECTS

7

### Lecturers and associates

- Associate Professor PhD Tomislav Burić
- Assistant Professor PhD Lana Horvat Dmitrović
- Assistant Professor PhD Domagoj Kovačević
- Full Professor PhD Mervan Pašić
- Associate Professor PhD Tomislav Šikić
- Associate Professor PhD Igor Velčić
- Assistant Professor PhD Ana Žgaljić Keko

### Course objectives

Euclidean space R^n. Functions of several variables; Curves in R^n. Tangent line on the space curve. Vector functions. Derivative of vector function.

Limit and continuity. Partial derivatives. Differential. Gradient. Tangent plane; Higher order derivatives. Schwartz theorem.

Higher order derivatives. Schwartz theorem; Derivative of composite function and chain rule; Integrals depending on the parameter.

Directional derivative. Derivative of implicit function. Theorem of implicit function; Second differential and quadratic forms; Taylor's formula.

Extrema. Local extrema; Extrema of a function subject to constraints. Lagrange mutliplier; Least squares method.

Double integral. Change of variables. Polar coordinates. Applications.

Triple integral. Change of variables. Cylindrical and spherical coordinates. Applications.

Midterm exam.

Series of numbers. Convergence of series, necessary conditions; Series with positive terms. Criteria for convergence, comparison, D'Alambert's, Cauchy's, integral criterion; Series of real numbers, absolute, conditional and unconditional convergent series.

Power series, area of convergence and radius of convergence, representation of a function; Taylor and Maclaurin series. Application of Taylor series; Convergence of function series. Uniform convergence. Differentiation and integration of function series.

Notion of differential equation, the field of directions, orthogonal and izogonal trajectories; Equations with separated variables. Linear differential equation. Exact differential equation.

Homogeneous equation. Bernoulli and Riccati equation; General first-order differential equations. Singular solutions; Numerical solving of differential equations. Euler's method. Taylor's method.

Higher order differential equations. Decreasing the order; Linear differential equation of the second order. Homogeneous and nonhomogeneous equation; Examples. Harmonic motion. Applications in physics and electrical engineering.

Higher order homogeneous equations; Finding the particular solutions; Solving equations using series.

Final exam.

### Prerequisites for:

- Electrical Circuits
- Interactive Computer Graphics
- Fundamentals of Intelligent Control Systems
- Robotics Practicum
- Mathematics 3 - EE
- Mathematics 3 - C
- DisCont mathematics 2
- Mathematical Modeling of Computer
- Sound and Environment
- Electronics 1R

### Required reading

(.), A. Aglić Aljinović i ostali: Matematika 2, Element, Zagreb, 2016.,

(.), P. Javor: Matematička analiza 2, Element, Zagreb, 1999.,(.), S. Lang: Calculus of Several Variables, Third Edition, Springer, 1987.,

(.), M. Pašić: Matematička analiza 2, Merkur ABD, 2004.,

(.), B. P. Demidovič: Zbirka zadataka iz matematičke analize za tehničke fakultete, Tehnička knjiga, 1998.,

#### Online education during epidemiological measures

- Study program duration
- 6 semesters (3 years)
- Semester duration
- 15 weeks of active teaching + 5 examination weeks
- Total number of ECTS points
- 180
- Title
- Bacc.ing.comp (Bachelor of Science in Computing)

**Academic calendar**

#### Minimal learning outcomes

- Explain and relate basic results of differential calculus of several variables
- Apply and interpret basic methods and skills of differential calculus of several variables
- Demonstrate and apply basic skills of integral calculus of several variables
- Explain the notion of convergence of series of numbers and functions and apply basic criteria for testing convergence
- Demonstrate skills to solve basic types of ordinary differential equations
- Create and solve mathematical model based on differential equations for engeneering problems
- Show the ability for mathematical modelling and problem solving applying methods of mathematical analysis in engineering
- Show the ability for mathematical expressing and logical reasoning