### General Information:

01:640:251 Multivariable Calculus (4)

Analytic geometry of three dimensions, partial derivatives, optimization techniques, multiple integrals, vectors in Euclidean space, and vector analysis.

**Prerequisite**: CALC2 (Math 152, 154, or 192).

### Textbook:

Textbook: For current textbook please refer to our Master Textbook List page

### Standard Syllabus, Homework, and Maple Labs

- Syllabus
- Homework will be assigned through the WebAssign system.
- Computational Labs in Math 251

### Getting Help

A frequently asked questions file is available.

### For instructors

### Syllabus & textbook homework for Math 251

This is a *very* rapid plan of study. A great deal of energy and determination will be needed to keep up with it. Modifications may be necessary. Periodic assignments (Maple labs, workshops, etc.) may be due at times, and additional problems may be suggested.

The text is the *3rd edition* of Rogawski's ** Calculus Early Transcendentals**, W.H.Freeman, 2015, ISBN 978-1-319-04911-9.

It has been augmented with some Rutgers "local matter," which is also available for download: Calculus at Rutgers

Syllabus and Computational Labs for 640:251 | |||
---|---|---|---|

Lecture | Topic(s) and text sections |
Computational Labs | |

1 | 12.1 Vectors in the Plane 12.2 Vectors in Three Dimensions |
Lab 0 | |

2 | 12.3 Dot Product and the Angle Between Two Vectors 12.4 The Cross Product |
||

3 | 12.5 Planes in Three-Space | Lab 1 | |

4 | 13.1 Vector-Valued Functions 13.2 Calculus of Vector-Valued Functions |
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5 | 13.3 Arc Length and Speed 13.4 Curvature |
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6 | 14.1 Functions of Two or More Variables 14.2 Limits and Continuity in Several Variables |
Lab 2 | |

7 | 14.3 Partial Derivatives 14.4 Differentiability, Linear Approximation and Tangent Planes |
||

8 | 14.5 The Gradient and Directional Derivatives | Lab 3 | |

9 | 14.6 The Chain Rule | ||

10 | 14.7 Optimization in Several Variables | ||

11 | 14.8 Lagrange Multipliers: Optimizing with a Constraint | ||

12 | Exam 1 (timing approximate!) |
||

13 | 15.1 Integration in Several Variables | Lab 4 | |

14 | 15.2 Double Integrals over More General Regions | ||

15 | 15.3 Triple Integrals | ||

16 | 12.7 Cylindrical and Spherical Coordinates | ||

17 | 15.4 Integration in Polar, Cylindrical, and Spherical Coordinates | ||

18 | 15.6 Change of Variables | Lab 5 | |

19 | 16.1 Vector Fields | ||

20 | 16.2 Line Integrals | ||

21 | 16.3 Conservative Vector Fields | ||

22 | Exam 2 (timing approximate!) |
||

23 | 16.4 Parameterized Surfaces and Surface Integrals | ||

24 | 16.5 Surface Integrals of Vector Fields | ||

25 | 17.1 Green's Theorem | ||

26 | 17.2 Stokes' Theorem | ||

27 | 17.3 Divergence Theorem | ||

28 | Catch up & review; possible discussion of some applications of vector analysis. |

### Computational Labs and workshops

The course has five suggested computational labs during the standard semester, in addition to a Lab 0 which is introductory and should be discussed in the first week or two.

Instructors may also wish to assign some workshop problems so that students can continue to improve their skills in technical writing.

**Quadratic surfaces**

The syllabus omits section 12.6, A Survey of Quadratic Surfaces. The ideas concerning quadratic surfaces are actually addressed in the third computational lab, and certainly some knowledge of quadratic surfaces is useful when considering the graphs of functions of several variables and studying critical points. Although this section is formally omitted, appropriate examples and terminology should be introduced early in the course.

## Frequently asked questions about Math 251

Q. How can I get help with this course?

Q. I got a bad grade on the first exam even though I studied. What should I do?

Q. How can I do the computational labs without going to the computer lab?

**Q. How can I get help with this course?**

**A.** Free possibilities include asking questions in class, going to either your instructor's or a TA's office hours, and going to the Learning Resource Center or the MSLC Math and Science Learning Center.

A non-free alternative is to go to room 303 Hill Center and ask for their list of tutors for Calc III.

**Q. I got a bad grade on the first exam even though I studied. What should I do?**

**A.** If the bad grade is a C or higher, one answer to the your first question could be -- Be glad it's only a fifth or so of your grade. Do better on the rest of the exams, quizzes, etc., and you'll be okay.

A longer answer: it helps if you keep up with the material as we go along. Studying the night before isn't as helpful as keeping up on a weekly or (better) class-by-class basis. When you find something from an earlier semester that you've forgotten, go back to the appropriate section of the text, reread it, and do some of the problems.

Part of this has to do (I theorize) with short term versus long term memory. You want your calculus in long term memory because as an engineer you'll be using it for years in courses like fluids. That means learning the material and then retesting yourself every so often to make sure that it hasn't evaporated. Think of multivariable calculus as a skill, like tennis or piano playing, that has to be learned over time and maintained if you want good results.

**Q. How can I do the computational labs without going to the computer lab?**

**A.** A student version of Maple is available from Maplesoft for a moderate price, and there are frequently special offers giving additional discounts. If you are interested in purchasing a personal copy, look here for more detailed instructions. Student versions of Matlab and Mathematica are available for download via the Rutgers Software Portal.

*If you are not going to install one of these systems on your own computer, you should complete the lab well ahead of time so that you do not miss the deadline due to forces beyond your control.*