Calculus 3 (multivariable calculus), part 2 of 2
What you'll learn
- How to solve problems in multivariable calculus and vector calculus (illustrated with more than 150 solved problems) and why these methods work.
- 7 types of integrals: double, double improper, and triple integrals; line integrals and surface integrals of functions and of vector fields.
- Direct and inverse substitutions for multiple integrals with many examples; Fubini's theorem for various types of domains.
- Conservative vector fields and their potentials; fundamental theorem for conservative vector fields.
- Green's, Stokes' and Gauss' theorems.
- Gradient, curl and divergence.
- Surfaces as graphs of functions of two variables and parametric surfaces; normal vectors and orientation of surfaces; boundary of a surface.
- Five methods of computing line integrals of vector fields and four methods of computing surface integrals of vector fields (flux integrals).
- Calculus 1 and 2
- Some linear algebra
- Calculus 3, part 1 or an equivalent (curves, sets in the plane, functions of several variables with limits, continuity and differentiability, partial derivatives, and simple PDEs)
Calculus 3 (multivariable calculus), part 2 of 2
Towards and through the vector fields, part 2 of 2: Integrals and vector calculus
(Chapter numbers in Robert A. Adams, Christopher Essex: Calculus, a complete course. 8th or 9th edition.)
C4: Multiple integrals (Chapter 14)
S1. Introduction to the course
S2. Repetition (Riemann integrals, sets in the plane, curves)
S3. Double integrals
You will learn: compute double integrals on APR (axis-parallel rectangles) by iteration of single integrals; x-simple and y-simple domains; iteration of double integrals (Fubini's theorem).
S4. Change of variables in double integrals
You will learn: compute double integrals via variable substitution (mainly to polar coordinates).
S5. Improper integrals
You will learn: motivate if an improper integral is convergent or divergent; use the mean-value theorem for double integrals in order to compute the mean value for a two-variable function on a compact connected set.
S6. Triple integrals
S7. Change of variables in triple integrals
You will learn: compute triple integrals by Fubini's theorem or by variable substitution to spherical or cylindrical coordinates; compute the Jacobian for various kinds of change of variables.
S8. Applications of multiple integrals such as mass, surface area, mass centre.
You will learn: apply multiple integrals for various aims.
C5: Vector fields (Chapter15)
S9. Vector fields
S10. Conservative vector fields
You will learn: about vector fields in the plane and in the space; conservative vector fields; use the necessary condition for a vector field to be conservative; compute potential functions for conservative vector fields.
S11. Line integrals of functions
S12. Line integral of vector fields
You will learn: calculate both kinds of line integrals (the ones of functions, and the ones of vector fields) and use them for computations of mass, arc length, work; three methods for computation of line integrals of vector fields.
You will learn: understand surfaces described as graphs to two-variable functions f:R^2-->R and as parametric surfaces, being graphs of r:R^2-->R^3; determine whether a surface is closed and determine surfaces' boundary; determine normal vector to surfaces.
S14. Surface integrals
You will learn: calculate surface integrals of scalar functions and use them for computation of mass and area.
S15. Oriented surfaces and flux integrals
You will learn: determine orientation of a surface; determine normal vector field; choose orientation of a surface which agrees with orientation of the surface's boundary; calculate flux integrals and use them for computation of the flux of a vector field across a surface.
C6: Vector calculus (Chapter16: 16.1--16.5)
S16. Gradient, divergence and curl, and some identities involving them; irrotational and solenoidal vector fields (Ch. 16.1--2)
S17. Green's theorem in the plane (Ch. 16.3)
S18. Gauss' theorem (Divergence Theorem) in 3-space (Ch. 16.4)
S19. Stokes' theorem (Ch. 16.5)
S20. Wrap-up Multivariable calculus / Calculus 3, part 2 of 2.
You will learn: define and compute curl and divergence of (two- and three-dimensional) vector fields and proof some basic formulas involving gradient, divergence and curl; apply Green's, Gauss's and Stokes's theorems, estimate when it is possible (and convenient) to apply these theorems.
Make sure that you check with your professor what parts of the course you will need for your final exam. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.
A detailed description of the content of the course, with all the 200 videos and their titles, and with the texts of all the 152 problems solved during this course, is presented in the resource file
"001 Outline_Calculus3_part2.pdf" under video 1 ("Introduction to the course"). This content is also presented in video 1.
Who this course is for:
- University and college engineering
I am a multilingual mathematician with a passion for mathematics education. I always try to find the simplest possible explanations for mathematical concepts and theories, with illustrations whenever possible, and with geometrical motivations.
I worked as a senior lecturer in mathematics at Uppsala University (from August 2017 to August 2019) and at Mälardalen University (from August 2019 to May 2021) in Sweden, but I terminated my permanent employment to be able to create courses for Udemy full-time.
I am originally from Poland where I studied theoretical mathematics and got pedagogical qualifications at the Copernicus University in Torun (1992-1997). Before that, I enjoyed a very rigorous mathematical education in a mathematical class in high school "Liceum IV" in Torun, which gave me a very solid foundation for everything else I have learned and taught later.
My PhD thesis (2009) was at Uppsala University in Sweden, with the title: "Digital Lines, Sturmian Words, and Continued Fractions".
In 2018 I received four pedagogical prizes from students at the Faculty of Science and Technology of Uppsala University: on May 13th from the students at the Master Program in Engineering Physics; on May 25th from the students at the Master Program in Electrical Engineering; on December 20th from the students at the Master Program in Chemical Engineering; on January 10th 2019 from UTN (Uppsala Union of Engineering and Science Students at Uppsala University).
I speak Polish, Swedish, English, Dutch, and some Russian; learning Ukrainian.
I have a background in medicine and software development. I've done enough mathematics to at least follow along in Hania's courses and I'm learning a lot as I edit the material. I have also written a book about medical software design as it pertains to the medical record ("Rethinking the electronic healthcare record"). For Hania's math courses, it's my job to set up the environment and produce the final output that goes into these courses.