General Information
(Biochemistry Section)
A Regular Section version is also available.

(Jump down to Syllabus)

Subject matter:  Differentiation and integration of functions of several variables, parametric curves and surfaces, optimization, vector fields, line integrals; basic probability theory.

Prerequisites:  Math 1b with a satisfactory grade, or AB-BC score of at least 4, or scores of at least 20, 8, 4 on HMPT.

Course Head:  Wilfried Schmid, Science Center 519, 495-7840; email: schmid@math; office hours on Tuesdays and Thursdays, 2:00 – 3:00.

Textbooks:    Thomas and Finney, Calculus and Analytic Geometry, Part II, 9th Edition.
                      Bernard Rosner, Fundamentals of Biostatistics, 4th Edition.

Classes and problem sessions:  This course is taught in sections, which meet three hours per week.  In addition to the section meetings, you are expected to attend problem sessions, conducted weekly, by a Course Assistant.  The Course Assistant also attends section meetings, grades the homework, and holds office hours.  You may attend more than one problem session per week – the schedule of all the sessions will be posted on this site and also on the Calculus Office bulletin board (outside Science Center 308).

Special sections:  The various sections cover the same material in the same order, with the following exceptions:
a) Two Biochemistry sections will emphasize applications of multivariable calculus in the life sciences, and will also cover basic probability theory;
b) Two Physics sections put greater weight on physical motivation and applications of multivariable calculus;
c) A Mathematics section is designed to provide better preparation for prospective mathematics concentrators.

Homework:  Problems will be assigned during every section meeting, and will be due at the next meeting.  You are encouraged to discuss the homework with your fellow students, but you must write up the solutions by yourself.  Late homework will not be accepted.  Your five lowest homework scores will be disregarded when your average homework grade is computed.

Exams:  Two course-wide midterms and a final.  The midterms will take place on October 19 and December 1, in both cases from 7:30 until 9:30 pm; on October 19, in Science Center Halls C and D, and on December 1, in Halls A and C. The use of electronic calculators is not permitted during exams; in any case, calculators would be of little or no help.

Grading:  Do not feel that you are competing for grades with your fellow students.  If the course as a whole does better (or worse) than expected, we shall not hesitate to assign grades that are higher (or lower) on average than in previous years. Your final grades will be based on your performance on the homework (20%), the two midterms (20% each), and the final (40%).  A small upward adjustment will be made in cases where the final is dramatically better than the average of the midterms and the homework.

Some words of caution:  This course is fast paced.  “Taking it easy” in the beginning of the course and trying to catch up later is an even riskier strategy than it would have been in your earlier math courses.  By the very nature of the material, memorizing formulas and “plugging in values” is not enough.  Numerical calculations are still important, but play a smaller role than in one variable calculus.  While we shall not attempt to teach you proofs or rigorous arguments, we do expect you to understand the important concepts. You will encounter homework problems and exam problems that differ significantly from problems you have seen in class.

Syllabus: Each topic corresponds roughly to one hour of class time.  The indicated reading refers to sections in the corresponding textbooks.
 

1. Vectors, dot products: 10.1, 10.2, 10.3 19. Multiple integrals, continued.
2. Cross products, lines, planes: 10.4, 10.5 20. Double integrals in polar form: 9.6, 13.3
3. More lines and planes, distances from points 
and planes: 10.5
21. Triple integrals in cylindrical and spherical 
coordinates: 13.6, 13.7
4. Parametric curves: 11.1, 11.2 22. Vector fields, line integrals: 14.1, 14.2
5. Arc length, unit tangent vector: 11.3 23. More on vector fields and line integrals.
6. Planetary motion: 11.5 24. Path independence: 14.3
7. Functions of several variables: 12.1 25. Green’s theorem: 14.4
8. Partial derivatives: 12.3 26. Descriptive Statistics: 2.1-2.8, 2.10
9. Differentiability, linearization: 12.4 27. Review
10. Chain rule: 12.5, parts of 12.6 28. Beginning Probability: 3.1-3.5
11. Review 29. Conditional Probability: 3.6
12. The gradient, tangent planes, directional derivatives: 12.7 30. Bayes' Theorem: 3.7-3.9
13. More on the gradient. 31. Discrete Random Variables: 4.1-4.7
14. Extrema, second derivative test: 12.8 32. Poisson and Binomial Distributions: 4.8-4.14
15. Lagrange multipliers: 12.9 33. Continuous Probability Distributions: 5.1-5.2
16. More on extrema. 34. Normal Distribution: 5.3-5.5
17. Multiple integrals, Fubini’s theorem: 13.1, parts of 13.4
18. Examples of multiple integrals: 13.2, 13.5

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Last Updated: Dec 3, 1998 by Ralph Teixeira