Ph.D., M.S., University of Minnesota
B.A., Carleton College
My current academic interests are applied statistics, computer applications in experimental science, and STEM teacher preparation. In addition, I was the first Program Director for the new Statistics major at UST, fall 2009 to summer 2011.
Course  Section  Title  Days  Time  Location  

STAT 220  04  Statistics I  M  W  F    0935  1040  OEC 206  
Description of course Genetics B/ Lab: 
CRN: 41142
4 Credit Hours
Instructor: Mark E. Werness
Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chisquare, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201
Schedule Details


STAT 220  05  Statistics I  M  W  F    1055  1200  OEC 206  
Description of course Genetics B/ Lab: 
CRN: 41143
4 Credit Hours
Instructor: Mark E. Werness
Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chisquare, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201
Schedule Details

Course  Section  Title  Days  Time  Location 

Course  Section  Title  Days  Time  Location  

CISC 120  01  Computers in Elementary Educ  M  W  F    1335  1440  OSS 428  
Description of course Genetics B/ Lab: 
CRN: 20720
4 Credit Hours
Instructor: Mark E. Werness
(Formerly QMCS 120) This course is intended for elementary education majors. Topics include the role of the computer in elementary and middleschool education, computer applications in science and mathematics, data analysis, software packages for use in elementary and middleschool classrooms, ComputerAssistedInstruction (CAI), multimedia, electronic portfolios, telecommunication and software creation using tools such as MicroWorlds, Scratch, and HTML. This course fulfills the third course in the Natural Science and Mathematical and Quantative Reasoning. Prerequisite: Elementary Education or SMEE major
Schedule Details


CISC 230  02  Object Oriented Design & Prog  See Details  *  *  
Description of course Genetics B/ Lab: 
CRN: 22351
4 Credit Hours
Instructor: Mark E. Werness
(Formerly QMCS 281) Programming and problem solving using an objectoriented approach. Builds on the procedural language foundation developed in CISC 130 or 131. Topics include: how procedural design differs from objectoriented design, algorithms, modeling, design requirements and representation, Uniform Modeling Language specification, implementation of objectoriented models, testing, and verification, and elementary design patterns. Lab included
Prerequisites: A minimum grade of C in CISC 130 or 131
Schedule Details


SMEE 359  01  Integrated Studies/SciMath   T  R     1525  1700  OSS 415  
Description of course Genetics B/ Lab: 
CRN: 20357
4 Credit Hours
Instructor: John F. Koser, Mark E. Werness
The capstone course in the SMEE interdisciplinary major. A number of currently important science and mathematics related topics will be studied in depth, and will emphasize the integration of the natural sciences and mathematics. Consideration will be given to the relevance of the topics to modern society and their potential use of the elementary classroom. Prerequisites: BIOL 101, CHEM 100, CISC 120, GEOL 111 (or 110 or 113 or 114 or 115), MATH 100 and 121, PHYS 101 (in certain cases, permission of the SMEE Director may allow a substitution).
Schedule Details
