Radford University  Math & Science Partnership Program
 Class Schedule
Cohorts (20 each) 
Summer 13 
Fall 13 
Spring 14 
Summer 14 
Cohort 1: Richmond 

VCU Math 554 


Cohort 2: All regions 

RU Stat 644 

VCU Math 591 
Cohort 3: All regions 
W&M PerformanceBased Assessment Institute 

RU Math 641 
RU Math 635 
Open to cohorts 
NASA Institute 


W&M PerformanceBased Assessment Institute 
 Class Descriptions

Euclidean and NonEuclidean Geometry
(RU Math 635) 
Applied Statistics for Teachers
(RU Stat 644) 
Linear Algebra for Teachers
(VCU Math 591 (Special Topics Course); transfers for RU Math 630) 
Mathematical Modeling
(RU Math 641) 
Mathematical Modeling
(RU Math 641)
This course addresses a range of Euclidean and NonEuclidean geometries, as summarized in the table below:
Course Topics 
Related Standards 
Euclidean and NonEuclidean geometries, systems of postulates in a comparison of Euclidean and NonEuclidean geometries. Axiomatic systems and their role in problemsolving in mathematics development of Geometry as an axiomatic system 
G1; G6; G7; 
Role of geometry in understanding the world and of how this understanding can be developed in their own classrooms 
G2; G5; G8; G9; G10 
Conceptions of geometry beyond plane figures and their properties 
G13; G14 
Development of geometric topics addressed in high school and discussion of current SOLs and Career Readiness Expectations 
G1; G2; G3; G4; G5; G6; G7; G8; G9; G10; G11; G12 
Other topics may include: structures of transformational, fractal, projective geometry with a brief history of the development of axiomatic systems of geometry, trigonometry. 
G3; G4; G11; G12 
Applied Statistics for Teachers This course explores ways to collect, organize, display, and analyze data and make reasoned decisions based on it. Students use statistical methods based on data, develop and evaluate inferences and predictions about data, and apply probability and distribution theory concepts. The course helps prepare teachers to teach statistical concepts and AP statistics and to critically examine and comprehend data analysis in education literature. Graphing calculators and computer software are incorporated.
Course Topics 
Related Standards 
Probability laws and counting techniques 
AII.12, PS.11, PS.12 
Probability distributions for discrete and continuous random variables 
PS.13, PS.14 
Sampling techniques and experimental designs 
AII.11, PS.8, PS.10, AFDA.3, AFDA.7, AFDA.8 
Analysis of categorical data, review of descriptive statistics 
A.9, A.10, PS.1, PS.2, SP.3, PS.4, PS.7 
Statistical inference, evaluating experimental and descriptive research studies, twosample ttests for independent and dependent samples, correlation analysis 
A.11, PS.5, PS.16, PS.17, PS.18, PS.19, PS.20 
Students use matrices and determinants to solve systems of linear equations. Applications of matrices and matrix inverses are used in solving real world problems, and graphing calculators are used extensively in solving large scale problems using matrix techniques.
Course Topics 
Related Standards 
Linear Equations and Matrices 
A.4(e), MA.14, AII.7(g), AII.7,(h) 
Applications of Linear Equations 
MA.14, A.4(e), AII.7(g), AII.7,(h) 
Determinants 
MA.2, AII.7(g) 
Vectors in 
AFDA.2 
Real Vector Spaces 
A.4(e), MA.2 
Eigenvectors and Eigenvalues 
MA.4 
Linear Transformations and Matrices 
AFDA.2, AII.7(g), MA.2, AII.7, (h) 
This course examines mathematical models of real life phenomena and develops solution strategies for openended problems. Models include extensive algebraic reasoning, calculus and linear algebra. They may include discrete and continuous population growth models, exponential and logistic growth, predatorprey models, diffusion processes such as heat conduction or pollution models, and optimization with several variables. Software such as Excel and Maple, or similar programs, is utilized.
Course Topics 
Related Standards 
Linear and Quadratic Equations 
A.4, MA.14, AII.7 
Applications of Linear Equations 
MA.14, A.4, AII.7(g), AII.7,(h) 
Exponential and Logistic Growth 
A.2, AII.6, MA.9 
Solving and Graphing Equations 
A.5, A.6, A.7, AII.1, AII.5 
Least Squares Data Approximation 
A.9, A.11 
Optimization with Several Variables 
AII.8, AII.9 
Educational Technology (VCU Math 554): This course emphasizes educational technologies appropriate for use in Algebra I, Algebra II, AFDA, and Geometry. The course strengthens teachers' understandings of algebra, data analysis, and geometry by integrating instructional technologies in these areas. Content is aligned with Virginia SOLs and national standards for technology and for Algebra I, Algebra II, AFDA, and NCTM Communication Standard for grades 912. The course emphasizes research, practice, and policy involving current technologies in education and uses mathematics software such as Fathom, GeoGebra, Excel, and Mathematica. Students learn mathematics applications of word processors, databases, spreadsheets, fundamentals of Internet tools, and rudimentary hypermedia tools to create multimedia projects. They discuss what it means to be a responsible and effective technology user in classrooms and how to appropriately assess student learning using technology. Students analyze and synthesize their learning through presentations, group work, reflection papers, computer projects and discussions.