Page 198 - De Anza College Catalog 2018-2019

All courses are for unit credit and apply to a De Anza associate degree unless otherwise noted.
5 Units
In nite series, lines and surfaces in three dimensions, vectors in two and three dimensions, parametric equations of curves. Derivatives and integrals of vector functions. As an honors course the students will be expected to complete extra assignments to gain deeper insight in calculus.
MATH 10H Elementary Statistics and 5 Units Probability - HONORS
(See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 10.)
(Admission into this course requires consent of the Honors Program Coordinator.) Prerequisite: MATH 114 or equivalent with a grade of C or better; or a qualifying score on the Intermediate Algebra Placement Test within the past calendar year. Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Introduction to data analysis making use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with an emphasis on understanding variation, collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to draw conclusions from data. The course introduces the student to applications in engineering, business, economics, medicine, education, social sciences, psychology, the sciences, and those pertaining to issues of contemporary interest. The use of technology (computers or graphing calculators) will be required in certain applications. Where appropriate, the contributions to the development of statistics by men and women from diverse cultures will be introduced. As an honors course the students will be expected to complete extra assignments to gain deeper insight into probability and statistics.
MATH 11 Finite Mathematics 5 Units
(See general education pages for the requirement this course meets.) Prerequisite: Qualifying score on the Math Placement Test within the past calendar year; or MATH 114 or equivalent with a grade of C or better. Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273. Five hours lecture (60 hours total per quarter).
Application of linear equations, sets, matrices, linear programming, mathematics of nance and probability to real-life problems. Emphasis on the understanding of the modeling process, and how mathematics is used in real-world applications.
MATH 12 Introductory Calculus for Business 5 Units and Social Science
(See general education pages for the requirement this course meets.) Prerequisite: MATH 11, 41 or 41H.
Five hours lecture (60 hours total per quarter).
Introduction to limits, di erentiation, and integration of single variable functions. Di erentiation of multivariate functions. Applications in business, economics, and social science.
MATH 17 Integrated Statistics 2 5 Units
(Formerly MATH 57.)
(See general education pages for the requirement this course meets.) Prerequisite: MATH 217.
Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
This is the second quarter of two in the Statway sequence comprised of MATH 217 and MATH 17. This sequence covers concepts and methods of statistics with an emphasis on data analysis. Sequence topics include methods for collecting data, graphical and numerical descriptive statistics, correlation, simple linear regression, basic concepts of probability, probability distributions, con dence intervals, hypothesis tests for means and proportions, chi-square tests, and ANOVA. The course introduces students to applications in engineering, business, economics, medicine, education, the sciences, and those pertaining to issues of contemporary interest. Where appropriate, the contributions to the development of statistics by men and women from diverse cultures will be introduced. This sequence is recommended for students with majors that require no mathematics beyond freshman-level statistics. It is not appropriate for students with majors in math, science, computer science or business, nor for students desiring to attend private universities.
MATH 22 Discrete Mathematics 5 Units
(See general education pages for the requirement this course meets.) Prerequisite: MATH 43 or MATH 43H with a grade of C or better or equivalent, and CIS 22A or CIS 35A with a grade of C or better or equivalent.
Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Elements of discrete mathematics with applications to computer science. Topics include methods of proof, mathematical induction, logic, sets, relations, graphs, combinatorics, and Boolean algebra.
MATH 23 Engineering Statistics 5 Units
(See general education pages for the requirement this course meets.) Prerequisite: MATH 1C or MATH 1CH (with a grade of C or better). Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273. Five hours lecture (60 hours total per quarter).
Engineering statistics provides a comprehensive introduction to probabilistic and statistical modeling for students in engineering, economics, nance and related disciplines in the mathematical sciences. The course exposes students to a variety of applications requiring decision making in the face of uncertainty. Topics covered include the collection and analysis of information, making use of graphical and numerical techniques, discrete, continuous, cumulative, and joint probability distribution functions and use of statistical inference, experimental design, and equation tting, when appropriate. Many of the applications require the use of technology (computers and graphic calculators). Computer simulations are used to illustrate di cult topics and provide visualization of advanced theoretical results (e.g. the Central Limit Theorem).
MATH 1CH Calculus - HONORS
M (See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 1C.)
(Admission into this course requires consent of the Honors Program Coordinator.) Prerequisite: MATH 1B or MATH 1BH (with a grade of C or better) or equivalent. Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
MATH 1D Calculus
5 Units
(See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 1DH.)
Prerequisite: MATH 1C or MATH 1CH (with a grade of C or better) or equivalent. Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Partial derivatives, multiple integrals, vector calculus.
MATH 1DH Calculus - HONORS
5 Units
(See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 1D.)
(Admission into this course requires consent of the Honors Program Coordinator.) Prerequisite: MATH 1C or MATH 1CH (with a grade of C or better) or equivalent. Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Partial derivatives, multiple integrals, vector calculus. As an honors course the students will be expected to complete extra assignments to gain deeper insight in calculus.
MATH 2A Di erential Equations 5 Units
(See general education pages for the requirement this course meets.) (Not open to students with credit in MATH 2AH.)
Prerequisite: MATH 1D or MATH 1DH (with a grade of C or better). Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273. Five hours lecture (60 hours total per quarter).
Ordinary di erential equations and selected applications.
MATH 2AH Di erential Equations - HONORS
5 Units
(See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 2A.)
(Admission into this course requires consent of the Honors Program Coordinator.) Prerequisite: MATH 1D or MATH 1DH (with a grade of C or better).
Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Ordinary di erential equations and selected applications. As an honors course the students will be expected to complete extra assignments to gain deeper insight in di erential equations.
MATH 2B Linear Algebra
5 Units
(See general education pages for the requirement this course meets.) (Not open to students with credit in MATH 2BH.)
Prerequisite: MATH 1D or MATH 1DH (with a grade of C or better). Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273. Five hours lecture (60 hours total per quarter).
Linear algebra and selected topics of mathematical analysis.
MATH 2BH Linear Algebra - HONORS
5 Units
(See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 2B.)
(Admission into this course requires consent of the Honors Program Coordinator.) Prerequisite: MATH 1D or MATH 1DH (with a grade of C or better).
Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Linear algebra and selected topics of mathematical analysis. As an honors course the students will be expected to complete extra assignments to gain deeper insight into linear algebra.
MATH 10 Elementary Statistics and Probability
5 Units
(See general education pages for the requirement this course meets.)
(Not open to students with credit in MATH 10H.)
Prerequisite: MATH 114 or equivalent with a grade of C or better; or a qualifying score on the Intermediate Algebra Placement Test within the past calendar year. Advisory: EWRT 211 and READ 211 (or LART 211), or ESL 272 and 273.
Five hours lecture (60 hours total per quarter).
Introduction to data analysis making use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with an emphasis on understanding variation, collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to draw conclusions from data. The course introduces the student to applications in engineering, business, economics, medicine, education, social sciences, psychology, the sciences, and those pertaining to issues of contemporary interest. The use of technology (computers or graphing calculators) will be required in certain applications. Where appropriate, the contributions to the development of statistics by men and women from diverse cultures will be introduced.
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2O18-2O19 DE ANZA COLLEGE CATALOG