M442: Assessment Report 2016-2017
M 442: Numerical Solution and Differential Equations
Assessment Coordinator: Jing Qin
According to the below description of Applied Mathematics Program Learning Outcomes and Assessment, 4 students were assessed for Outcomes 1 and 2 in M442. (These outcomes were assessed in M 442 this year, rather than across both M 441 and M 442 as indicated in the schedule below.
Outcome 1
Use rigorous mathematical reasoning or computations to establish fundamental applied mathematics concepts.
Outcome 2
Set up mathematical models and critically interpret their results.
Evaluation
There were a total of 17 students in the Spring 2017 M442 class. Four of those students were majoring in Mathematics - Applied Mathematics option. Problems 1 and 5 in the final exam were used as the assessment tool. More specifically, Problem 1 was designed to test the basic understanding of numerical methods. Problem 5 was designed to test the ability of implementing fundamental numerical methods to solve differential equations. Two (2) students achieved the level of Excellent performance, and two (2) student achieved the level of Acceptable performance.
Recommendation
I have no program recommendations at this time. In future years, both courses should be assessed.
Program Learning Outcomes
LO# | Students should demonstrate the ability to: |
---|---|
1. | Derive numerical methods for approximating the solution of problems of continuous mathematics (M 441, M 442). |
2. | Implement a variety of numerical algorithms using appropriate technology (M 441, M 442). |
3. | Set up mathematical models and critically interpret their results (M 450, M451). |
4. | Select and implement an appropriate mathematical technique needed to analyze and validate mathematical models (M 450, M 451). |
Curriculum Map and Assessment Schedule
Course | LO 1 | LO 2 | LO 3 | LO 4 | Assessment Schedule |
---|---|---|---|---|---|
M441 | X | X | Even fall semesters | ||
M442 | X | X | Odd spring semesters | ||
M450 | X | X | Odd fall semesters | ||
M451 | X | X | Even spring semesters |
Rubric
LO | Unacceptable | Marginal | Acceptable | Excellent |
---|---|---|---|---|
1 |
The work is not correct |
The work is not correct and complete because one or two significant ideas are missing, but the terms are properly defined and the work shows a type of organization that might well work if the right ideas were inserted in the proper places. Also, the work is "marginal" if most of the work is leading toward a correct argument, but a false statement is inserted. |
The work is almost correct with relevant concepts used and ideas that could work, but not well‐ organized, for example, with some steps out of order, or with something relatively minor incomplete. |
The work is fully correct and complete, with the relevant concepts properly employed and ideas that work, and the steps well‐organized into a proper sequence |
2 | If the work is not correct and complete because either there are fundamental gaps in understanding of the underlying scientific principles or in the understanding of the appropriate technique and its implementation. |
The work is not correct and complete because one or two significant ideas are missing, but the majority of the ingredients are present. |
The work is almost correct with relevant scientific concepts and mathematical techniques that could work, but not well‐organized, with a minor omission, misunderstanding, or inadequate choice of mathematical technique. |
The work is fully correct and complete, with the complete understanding of the scientific principles of the modeled problem and with employment of the appropriate mathematical techniques. |
3 | The work is not correct and complete because either there are fundamental gaps in understanding of the underlying mathematical assumptions or in the understanding of the appropriate technique and its implementation. |
The work is not correct and complete because one or two significant components of the analysis or of the implementation are missing, but the majority of the ingredients are present. |
The work is almost correct with relevant assumptions addressed and the correct algorithm chosen with an implementation that could work, but is implemented with a minor misunderstanding of a technique or a minor error in other elements of the computations. |
The work is fully correct and complete, with a full under- standing of the under- lying mathematical assumptions that deem a particular mathematical technique applicable to a given model and with an appropriate knowledge of the main principles and techniques related to the implementation of a particular form of analysis, mathematical or numerical. |
4 | If less than half of the criteria are completed. |
If at least half of the criteria are completed. |
If three of the above are adequately addressed. |
If all four criteria are adequately addressed |
Threshold
At least half of the majors in each of the courses are assessed as "excellent" or "acceptable" for all the learning outcomes.