Math 10a - Fall 2012
Methods of Mathematics: Calculus, Statistics and Combinatorics
Lectures: Monday, Wednesday and Friday, 8:00-9:00am, 105 Stanley
Professor:
Bernd Sturmfels
(office 925 Evans, e-mail bernd@math.berkeley.edu)
Office Hours: Monday 11:30am-12:30pm and Tuesday 8:00-9:00am.
Graduate Student Instructors:
- Natth Bejraburnin,
office hours Tuesday 4-5pm and Friday 11-12am
in 787 Evans.
- Ralph Morrison,
office hours Monday 1:30-2:30pm and Thursday 1:30-2:30pm in 941 Evans.
- Ngoc Tran,
office hours Monday 1-2pm and Wednesday 1-2pm in 391 Evans.
- Markus Vasquez,
office hours Wednesday 2-3pm and Thursday 2-3pm in 1056 Evans.
For extra help: check
out the
Student Learning Center.
Their 1-unit course meets
meets TuTh 11-12:30 in 113 Chavez.
Special Office Hours and Review Sessions:
Tuesday, Nov 27, 1-2pm: Ngoc in 334 Evans
Wednesday, Nov 28, 1-2pm: Ngoc in 334 Evans
Thursday, Nov 29, 1-2pm: Ngoc in 334 Evans
Friday, Nov 30, 1-2pm: Ngoc in 340 Evans
Monday, Dec 3, 4-6pm: Natth in 35 Evans (Review)
Wednesday, Dec 5, 8-10am: Bernd in 105 Stanley (Review)
Wednesday, Dec 5, 1:30-3:30pm: Ralph in 941 Evans
Wednesday, Dec 5, 4:00-5:00pm: Markus in 31 Evans (Review)
Thursday, Dec 6, 2:00-4:00pm: Markus in 1056 Evans
Thursday, Dec 6, 5:30-6:30pm: Ralph in 941 Evans
Friday, Dec 7, 1-3pm: Natth in 762 Evans
Monday, Dec 10, 9:00-10:30am: Bernd in 939 Evans
Course Description
This is the first semester of an introductory
college-level mathematics course. It is primarily
intended for majors in the life sciences.
Math 10a covers:
Introduction to differential and integral calculus of functions of
one variable. Representation of data, elementary probability
theory, statistical models and testing. The syllabus appears below.
The continuation in the spring (Math 10b) will cover:
Elementary combinatorics and discrete
probability theory. Introduction to graphs, matrix algebra, linear
equations, difference equations, differential equations.
Daily Syllabus
- Friday, August 24: Sets and Functions, Polynomials, Hardy-Weinberg Law,
Composition of Functions
- Monday, August 27: Exponential Function, Tumor Growth,
Inverse Function, Logarithm Function, Log-Log Plots
- Wednesday, August 29: Statistics Basics, Data Types, Histograms, Step Functions
- Friday, August 31: Coin Tosses, Simulated Data, Gaussian Function, Normal Distribution
- Wednesday, September 5: Axioms for Area, Integral of Step Function,
Properties of Integral, Limits
- Friday, September 7: Area under a Curve,
Riemann Integral, Left and Right Endpoint Approximations, Midpoint Rule,
Trapezoid Rule
- Monday, September 10: Random Variables, Outcomes, Events, Discrete
Probability, Binomial Distribution
- Wednesday, September 12: Cumulative Distributions,
Continuous Probability
Distributions, Normal Distribution Revisited
- Friday, September 15: Slope of a Line, Slope of a Curve, Derivative of a Function
- Monday, September 17: Power Rule, Constant Multiple Rule,
Sum Rule, Difference Rule, Product Rule, Chain Rule, Quotient Rule
- Wednesday, September 19: Implicit Differentiation, Higher Derivatives
- Friday, September 21: Graphing Functions, Extrema,
Inflection Points, Asymptotes
- Monday, September 24: Local Extrema, Critical Points,
Convex/Concave, Second Derivative Test, Global Maxima and Minima
Wednesday, September 26: Review for First Midterm
Friday September 28: First Midterm Exam
- Monday, October 1: Approximation of Functions, Taylor Polynomials
- Wednesday, October 3: Taylor Polynomials and Numerical Optimization
- Friday, October 5: Newton's Method
- Monday, October 8: Infinite Sums and Series
- Wednesday, October 10: More General Series, Test for Divergence,
Ratio Test, Root Test, Power Series, Taylor Series
- Friday, October 12: Poisson Distribution, Sequences and Assembly
of DNA sequences
- Monday, October 15: Box Models, Long Run Behavior,
Expected Value, Standard Error, Sampling Distribution, Central Limit Theorem
- Wednesday, October 17: Parameters and Statistics, Sampling, Bias and Variability
- Friday, October 19: Statistical Models
- Monday, October 22: Estimators,
Likelihood Function, Maximum Likelihood Estimation
- Wednesday, October 24:
Multiple Random Variables, Joint Density Function, Independence
- Friday, October 26: Multinomial Distribution,
Hardy-Weinberg Model,
Genetics Example,
Body Temperature Example
Monday, October 29: Review for Second Midterm
Wednesday, October 31: Second Midterm Exam
- Friday, November 2: Antidifferentiation
- Monday, November 5: Existence of Antiderivatives,
Indefinite Integrals
- Wednesday, November 7: Fundamental Theorem of Calculus, Area Function
- Friday, November 9: Chain Rule Revisited, Substitutions in Definite Integrals, Exploiting Symmetry
- Wednesday, November 14: Integration by Parts
- Friday, November 16: Hypothesis testing, Type 1 and 2
errors, Test statistic, Rejection regions, P-value
- Monday, November 19: Z-tests
Wednesday, November 21: Statistics Review
- Monday, November 26: Student's t curve, T-tests
Wednesday, November 28: Calculus Review
Friday, November 30: Ralph's Review
Lecture Notes and Text Books
The slides for each lecture and the homework problems
have been assembled into a reader. A hard copy of
the Math 10A reader can be purchased for $29.25 at
Copy Central.
The reader is also available for free to registered students
as a pdf file on
BSpace.
We also recommend that you purchase the
custom edition
of Stewart's Calculus.
For supplementary material on Statistics please use the free
online notes
and
lectures
posted by
Professor Philip Stark.
A custom edition of Rosen's Discrete Mathematics will be
made available for Math 10B.
Reading and Writing
Students are expected to study the lecture notes in the
reader BEFORE the date of the respective lecture.
Writing is an essential part of studying mathematics
and other quantitative subjects.
Please use this course as an opportunity to practise
your writing skills.
You are expected to use complete sentences in all your written work.
We will take this into consideration when grading the homework and the exams.
Homework and Quizzes
A homework set is assigned for each lecture.
Solutions will be posted on BSpace after the due dates.
Each lecture has at least five problems, for a total
of at least 15 problems per week. The homework is always due
on Monday of the following week, starting on August 27.
No late homework can be accepted.
Your GSI will verify that you are working the assigned problems, but
only one problem per lecture will be fully graded.
There will be a quiz in your GSI section on every Friday,
starting on August 31.
Midterm Exams and Final Exam
There will be two in-class midterms, on
Friday, September 28, and on Wednesday, October 31.
A review session will be held in the lecture
preceding the midterm.
*No books, notes, electronic devices, scratch
paper or collaboration are permitted at any exam*.
The final exam will be on Monday, December 10, 7-10pm,
in 220 Hearst Gymnasium.
Please plan your holiday travels accordingly. Your student photo ID
is required at all exams. No make-up exams will be given.
Grading
Homework 10%, Quizzes 10 %, Midterms 20% each, Final 40%.
If a student does not take midterm #1, then midterm #2
will count for 40% of the grade. If a student takes
midterm #1 but not midterm #2, the final
exam will count for 60%. Students who take
neither midterm will fail the course.
There will be no make-up exames.
Incomplete grades are
very rarely given, and only for
a documented serious medical problem or genuine emergency, provided you have a C average on previous coursework.
Weekly Syllabus for Math 10b (taught in Spring 2013 by C. Evans)
-
Week 1: Finite sets, functions, balls and boxes (the 12-fold way)
-
Week 2: Counting, permutations, binomial coeficients
-
Week 3: Discrete probability theory, conditional probability, Bayes' rule.
-
Week 4: The Poisson approximation to the binomial distribution
and Poisson random variables
-
Week 5: Difference equations, recursion
-
Week 6: Algorithms and dynamic programming
-
Week 7: Differential equations I
-
Week 8: Differential equations II
-
Week 9: Inference for discrete distributions
-
Week 10: Least squares and correlation
-
Week 11: Linear equations
-
Week 12: Matrix algebra
-
Week 13: Relations and partially ordered sets
-
Week 14: Graphs, trees and phylogenetics