## Friday, November 07, 2008

### Stats Courses at Metro

For the benefit of anyone who might enjoy browsing course listings at various colleges and universities, I present the complete selection of statistics courses offered at my school, the Metropolitan State College of Denver:

MTH 1210-4 Introduction to Statistics (4 + 0)
Prerequisites: two years of high school algebra or equivalent and an appropriate score on the mathematics preassessment test
This course is an introduction to the principles and techniques of descriptive statistics, probability, regression analysis, and statistical inference (estimation and tests of hypotheses). Students will work with data on problems related to their own interest or field of study. Credit will not be given for both MTH 1210 and MTH 1230. (General Studies—Level I, Mathematics) (GT—MA1)

MTH 1230-2 Introduction to Probability and Descriptive Statistics (2 + 0)
This course introduces the principles and techniques of probability, descriptive statistics and probability distributions. Students will learn collecting, analyzing, and drawing conclusions from data in their chosen field and using statistical software. This course will not count toward graduation if MTH 1210 is also taken.

MTH 3210-4 Probability and Statistics (4 + 0)
Prerequisites: MTH 2410 with a grade of “C” or better, or permission of instructor
This is a course in the application and theory of the principles of probability and statistics in the sciences and engineering. It includes random variables, probability distributions, sampling, estimation, tests of hypotheses, and regression analysis.

MTH 3220-4 Design of Experiments (4 + 0)
Prerequisites: MTH 3210 and either MTH 2140 or MTH 3140, all with grades of “C” or better, or permission of instructor
This is a course in the application and theory of statistical methods in the sciences and engineering. It includes analysis of variance, factorial experiments, and regression analysis.

MTH 3240-4 Environmental Statistics(4 + 0)
Prerequisites: MTH 1110 and MTH 1210 with grades of “C” or better, or permission of instructor
This is a course in inferential statistics, sampling techniques, and quality control as they relate to environmental issues. Students will work with data and problems related to the environmental science field of study. This course does not count towards a major or minor in mathematics.

MTH 4210-4 Probability Theory (4 + 0)
Prerequisites: MTH 3210 with a grade of “C” or better and senior standing, or permission of instructor
This is a course in the theory of discrete and continuous probability with applications in the sciences and engineering. It includes sample spaces, combinatorial probability, random variables, sets of random variables and random sequences, conditional probability, expectation, and special distributions. It also includes beginning analysis of Markov chains. (Senior Experience)

MTH 4220-4 Stochastic Processes (4 + 0)
Prerequisites: MTH 4210 with a grade of “C” or better, or permission of instructor
This course is an introduction to random processes with applications in the sciences and engineering. It includes examples and properties of stochastic processes, specifically, it includes discrete and continuous Markov processes, the exponential distribution and Poisson process, and other processes including queuing theory.

MTH 4230-4 Applied and Computational Statistics (4 + 0)
Prerequisites: MTH 3220 with a grade of “C” or better, or permission of instructor
This course will cover advanced methods in statistics, including regression and multivariate analysis. Additional topics will be chosen from time series, survival analysis, sampling, bootstrap methods, Taguchi designs, or others chosen by the instructor. The students will use statistical computer packages.

MTH 4290-1 Senior Statistics Project (1 + 0)
Prerequisites: MTH 3210, MTH 3220, MTH 4210, and permission of instructor
In this course, students will apply the statistical techniques covered in previous course work to a real-world situation. The students will write a report containing a description of the problem, statistical tools used, design of experiments, analysis, and results of the study.
I am currently taking 3210, and I have also taken 1210 (required for my previous major). I would love to take Probability Theory (4210).

#### 1 comment:

Sally said...

The disconnect between course titles and content is funny. My 'Introduction to Probability and Statistics' content is the same as your 'Probability and Statistics' content.

My 'Probability and Statistics' content, the second course in the sequence ... I don't know because it doesn't sound very different from the other one. I guess I'll let you know next spring.

The Design of Experiments one is obviously fun-sounding. How is ANOVA like regression?