Graduate Academic Learning Compacts

Year: 2007-2008
College: Arts and Sciences
Department: Mathematics & Statistics
Major: Mathematical Science
Concentration:  

Mission Statement:

The mission of the graduate program of the Department of Mathematics and Statistics is to provide an excellent education for students in mathematics and statistics, to focus scholarly efforts on expanding our knowledge of those two disciplines, and to participate in activities that promote mathematics and statistics in relevant ways. Our programs prepare students for high-level quantitative careers and for discipline-related Ph.D. programs. Our courses are designed to immerse students in graduate-level mathematics and statistics and to promote independent thinking in students. We strive to instill in students who interact with us an appreciation for the power of mathematics and statistics and a desire to be lifelong learners and practitioners in mathematics or statistics. Graduate Faculty are to engage in research projects that yield new results in their areas of expertise or that apply their knowledge to solve problems of interest to scholars in other disciplines. Graduate Faculty are also to be involved in meaningful professional service to the university and the disciplines regionally, nationally, and internationally. All of our endeavors will be subject to self-reflection designed to maximize their effectiveness.
Student Learning Outcomes:

    
Outcome:   


(Mathematics) Recognize and apply principles of abstract mathematics to solve complex problems and to compose coherent and correct proofs in a variety of areas such as linear algebra and probability.



    
Outcome:   


(Mathematics) Recognize and apply principles of applied mathematics to solve complex problems in a variety of areas such as numerical analysis and scientific computing.



    
Outcome:   


(Mathematics) Recognize connections within mathematics in order to create and use mathematical models and to solve complex problems in one area of mathematics using techniques from other areas of mathematics.



    
Outcome:   


(Mathematics) Recognize and apply mathematical techniques to statistics problems.



    
Outcome:   


(Mathematics) Recognize and apply statistics principles to theoretical and applied statistics problems.



    
Outcome:   


(Mathematics) Present mathematics arising from coursework and independent investigations that extend course content or illuminate areas that are new to the student.



    
Outcome:   


(Statistics) Recognize and apply principles of theoretical statistics to solve and present solutions to complex problems in a variety of areas such as probability and mathematical statistics.



    
Outcome:   


(Statistics) Recognize and apply principles of applied statistics such as analysis of variance, linear regression, and correlation and to analyze and present data in a variety of ways.



    
Outcome:   


(Statistics) Use software such as SAS to analyze data and perform simulations.



    
Outcome:   


(Statistics) Choose, implement and interpret appropriate statistical inferences with tools such as likelihood ratio tests and unbiased estimators.



    
Outcome:   


(Statistics) Recognize and apply mathematical techniques to statistics problems.



    
Outcome:   


(Statistics) Recognize and apply mathematics principles to pure and applied mathematics problems.



    
Outcome:   


(Statistics) Present statistics arising from coursework and independent investigations that extend course content or illuminate areas that are new to the student.


Curriculum Map:

Assessment Approaches:

Students who complete all of their graduate mathematics and statistics courses with a satisfactory individual and overall G.P.A. undergo a penultimate assessment that consists of either a thesis and thesis defense or a comprehensive exam and presentation. The final assessment of our graduates is done externally. That is, are they able to continue their education or pursue a desirable career. Mathematics Track: The direct assessment of the ability of students to solve pure and applied problems, create proofs, and construct and utilize mathematical models will be carried out by using embedded assessment in core and elective courses. The direct assessment of the ability of students to complete independent investigations that extend course content or illuminate areas that are new to the student will be carried out by using a rubric to grade student presentations and student papers. Embedded assessment in core courses and electives will also be used to do this whenever possible. Statistics Track: The direct assessment of the ability of students to solve pure and applied problems, analyze and present data, and implement and interpret appropriate statistical inferences will be carried out by using embedded assessment in core and elective courses. The direct assessment of the ability of students to complete independent investigations that extend course content or illuminate areas that are new to the student will be carried out by using a rubric to grade student presentations and student papers. Embedded assessment in core courses and electives will also be used to do this whenever possible.