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== Course Sections ==
 
== Course Sections ==
 
The main sections of the course and approximate hour distribution between them is as follows:
 
The main sections of the course and approximate hour distribution between them is as follows:
  +
=== Section 1 ===
  +
  +
==== Section title ====
  +
Differential Analysis of Functions of Several Variables
  +
  +
==== Topics covered in this section ====
  +
* Limits of functions of several variables
  +
* Partial and directional derivatives of functions of several variables. Gradient
  +
* Differentials of functions of several variables. Taylor formula
  +
* Maxima and minima for functions of several variables
  +
* Maxima and minima for functions of several variables subject to a constraint
  +
  +
==== What forms of evaluation were used to test students’ performance in this section? ====
  +
{| class="wikitable"
  +
|+
  +
|-
  +
! Form !! Yes/No
  +
|-
  +
| Development of individual parts of software product code || 0
  +
|-
  +
| Homework and group projects || 1
  +
|-
  +
| Midterm evaluation || 1
  +
|-
  +
| Testing (written or computer based) || 1
  +
|-
  +
| Reports || 0
  +
|-
  +
| Essays || 0
  +
|-
  +
| Oral polls || 0
  +
|-
  +
| Discussions || 0
  +
|}
  +
  +
==== Typical questions for ongoing performance evaluation within this section ====
  +
# Find <math>\lim\limits_{x\to0}\lim\limits_{y\to0}u(x;y)</math>, <math>\lim\limits_{y\to0}\lim\limits_{x\to0}u(x;y)</math> and <math>\lim\limits_{(x;y)\to(0;0)}u(x;y)</math> if <math>u(x;y)=\frac{x^2y+xy^2}{x^2-xy+y^2}</math>.
  +
# Find the differential of a function: (a)~<math>u(x;y)=\ln\left(x+\sqrt{x^2+y^2}\right)</math>; \; (b)~<math>u(x;y)=\ln\sin\frac{x+1}{\sqrt y}</math>.
  +
# Find the differential of <math>u(x;y)</math> given implicitly by an equation <math>x^3+2y^3+u^3-3xyu+2y-3=0</math> at points <math>M(1;1;1)</math> and <math>N(1;1;-2)</math>.
  +
# Find maxima and minima of a function subject to a constraint (or several constraints): \begin{enumerate}
  +
# <math>u=x^2y^3z^4</math>, \quad <math>2x+3y+4z=18</math>, <math>x>0</math>, <math>y>0</math>, <math>z>0</math>;
  +
# <math>u=x-y+2z</math>, \quad <math>x^2+y^2+2z^2=16</math>;
  +
# <math>u=\sum\limits_{i=1}^ka_ix_i^2</math>, \quad <math>\sum\limits_{i=1}^kx_i=1</math>, <math>a_i>0</math>;
  +
  +
==== Typical questions for seminar classes (labs) within this section ====
  +
# Let us consider <math>u(x;y)=\begin{cases}1,&x=y^2,\\0,&x\neq y^2.\end{
  +
  +
==== Tasks for midterm assessment within this section ====
  +
  +
  +
==== Test questions for final assessment in this section ====
  +
# Find all points where the differential of a function </math>f(x;y)=(5x+7y-25)e^{-x^2-xy-y^2}<math> is equal to zero.
  +
# Show that function </math>\varphi=f\left(\frac xy;x^2+y-z^2\right)<math> satisfies the equation </math>2xz\varphi_x+2yz\varphi_y+\left(2x^2+y\right)\varphi_z=0<math>.
  +
# Find maxima and minima of function </math>u=2x^2+12xy+y^2<math> under condition that </math>x^2+4y^2=25<math>.
  +
# </math>u=\left(y^2-x^2\right)e^{1-x^2+y^2}<math> on a domain given by inequality \quad </math>x^2+y^2\leq4$;

Revision as of 16:09, 2 December 2021

Calculus II

  • Course name: Calculus II
  • Course number: XYZ

Course Characteristics

Key concepts of the class

  • Multivariate calculus: derivatives, differentials, maxima and minima
  • Multivariate integration
  • Functional series. Fourier series
  • Integrals with parameters

What is the purpose of this course?

The goal of the course is to study basic mathematical concepts that will be required in further studies. The course is based on Mathematical Analysis I, and the concepts studied there are widely used in this course. The course covers differentiation and integration of functions of several variables. Some more advanced concepts, as uniform convergence of series and integrals, are also considered, since they are important for understanding applicability of many theorems of mathematical analysis. In the end of the course some useful applications are covered, such as gamma-function, beta-function, and Fourier transform.

Course objectives based on Bloom’s taxonomy

- What should a student remember at the end of the course?

By the end of the course, the students should be able to

  • find partial and directional derivatives of functions of several variables;
  • find maxima and minima for a function of several variables
  • use Fubini’s theorem for calculating multiple integrals
  • calculate line and path integrals
  • distinguish between point wise and uniform convergence of series and improper integrals
  • decompose a function into Fourier series
  • calculate Fourier transform of a function

- What should a student be able to understand at the end of the course?

By the end of the course, the students should be able to

  • how to find minima and maxima of a function subject to a constraint
  • how to represent double integrals as iterated integrals and vice versa
  • what the length of a curve and the area of a surface is
  • properties of uniformly convergent series and improper integrals
  • beta-function, gamma-function and their properties
  • how to find Fourier transform of a function

- What should a student be able to apply at the end of the course?

By the end of the course, the students should be able to

  • find multiple, path, surface integrals
  • find the range of a function in a given domain
  • decompose a function into Fourier series

Course evaluation

Course grade breakdown
Type Points
Test 1 10
Midterm 25
Test 2 10
Participation 5

Grades range

Course grading range
Grade Points
A [85, 100]
B [65, 84]
C [45, 64]
D [0, 44]

Resources and reference material

  • Robert A. Adams, Christopher Essex (2017) Calculus. A Complete Course, Pearson
  • Jerrold Marsden, Alan Weinstein (1985) Calculus (in three volumes; volumes 2 and 3), Springer

Course Sections

The main sections of the course and approximate hour distribution between them is as follows:

Section 1

Section title

Differential Analysis of Functions of Several Variables

Topics covered in this section

  • Limits of functions of several variables
  • Partial and directional derivatives of functions of several variables. Gradient
  • Differentials of functions of several variables. Taylor formula
  • Maxima and minima for functions of several variables
  • Maxima and minima for functions of several variables subject to a constraint

What forms of evaluation were used to test students’ performance in this section?

Form Yes/No
Development of individual parts of software product code 0
Homework and group projects 1
Midterm evaluation 1
Testing (written or computer based) 1
Reports 0
Essays 0
Oral polls 0
Discussions 0

Typical questions for ongoing performance evaluation within this section

  1. Find , and if .
  2. Find the differential of a function: (a)~; \; (b)~.
  3. Find the differential of given implicitly by an equation at points and .
  4. Find maxima and minima of a function subject to a constraint (or several constraints): \begin{enumerate}
  5. , \quad , , , ;
  6. , \quad ;
  7. , \quad , ;

Typical questions for seminar classes (labs) within this section

  1. Let us consider Failed to parse (unknown function "\begin{cases}"): {\displaystyle u(x;y)=\begin{cases}1,&x=y^2,\\0,&x\neq y^2.\end{ ==== Tasks for midterm assessment within this section ==== ==== Test questions for final assessment in this section ==== # Find all points where the differential of a function } f(x;y)=(5x+7y-25)e^{-x^2-xy-y^2}Failed to parse (syntax error): {\displaystyle is equal to zero. # Show that function } \varphi=f\left(\frac xy;x^2+y-z^2\right)2xz\varphi_x+2yz\varphi_y+\left(2x^2+y\right)\varphi_z=0Failed to parse (syntax error): {\displaystyle . # Find maxima and minima of function } u=2x^2+12xy+y^2x^2+4y^2=25Failed to parse (syntax error): {\displaystyle . # } u=\left(y^2-x^2\right)e^{1-x^2+y^2}x^2+y^2\leq4$;