| Go to... | ||
| Courses | ||
 Override form |
||
| Next semester |
||
| Course descriptions |
||
100 level courses
100 level | 200 level | 300 level | 400 level | Graduate courses
Prerequisite: high school algebra. Elementary probability theory with applications; random variables; distributions including a thorough discussion of the binomial, Poisson, and normal distributions; central limit theorem; histograms; sampling distributions; confidence intervals; tests of hypotheses; linear models; regression and correlation; chi-square test; non-parametric statistics; bioassay; sensitivity experiments; sequential test. 111 is a prerequisite for 112.
Math 114
Statistics for Business (4)
Prerequisite: high school algebra. An introductory
statistics course for pre-BSM students, which emphasizes basic topics
on statistical inferences with extensive coverage of data collection
and analysis as needed to evaluate the reported statistical results and
to make good decisions in business. The course stresses the development
of statistical thinking, the assessment of credibility and the value of
the inferences made from data, both by those who analyze and those who
produce them. In comparison with Math 111, this course spends more time
on statistical inference problems, less on probability, and teaches the
use of Excel, a computer skill necessary nowadays in the business world.
Math 115,
116 Long Calculus (3, 3)
The material of Calculus 121 is covered in two semesters, with
diversions for topics in algebra, trigonometry, complex numbers as the
need for these topics arises. Mathematics 115 is a prerequisite for
116. Students finishing the course sequence 115-116 may continue with
122 or any other course having Calculus 121 as a prerequisite. The
combination of 115 and 116 may count as one course toward the B.S.
degree requirement.
Math 121
Calculus I (4)
Prerequisites: high school algebra, geometry, and
trigonometry. Functions and their graphs, limits and continuity,
derivatives and applications of derivatives, and introduction to the
integral.
Math 122
Calculus II (4)
Prerequisite: grade of at least C- in Math 116 or 121.
Integration; exponential, logarithmic, and trigonometric functions;
techniques of integration; mean value theorem; Taylor’s Theorem and
Taylor series; and infinite series.
Math 123 Statistics for Scientists (4)
Prerequisite: Math 121 or permission of instructor. The objective of this course is to provide a practical overview of the statistical methods and models most likely to be encountered by scientists in practical research applications. Students will learn statistical concepts by generating and analyzing stochastic datasets using the Minitab software package. Specific topics that will be covered in this course include discrete and continuous distributions, sampling methods and descriptive statistics, the Central Limit Theorem and its applications, estimation methods, confidence intervals, hypothesis testing, linear regression, and Analysis of Variance.
Math 131
Consolidated Calculus (4)
Prerequisite: a score of 3 or higher on the AB or BC Calculus
AP test or permission of the Mathematics department undergraduate
coordinator. A combined course in Calculus I and II for students
with a background in Calculus I. Students receive credit for both this
course and 121 if they receive a B- or higher. Students may not receive
credit for both 131 and 122.
| Mathematics
Department Tulane University 6823 St. Charles Ave New Orleans, LA 70118 phone: (504) 865-5727 fax: (504) 865-5063 |
Last Updated:
February 20, 2008
|
 |