1.

Contrast cooperative and competitive learning environments. (I)

2.

Use basic social and communication skills in a group setting. (I)

3.

Use peer input to assess growth in positive group behaviors. (I)

4.

Demonstrate selfevaluation of progress through the use of
developmental assessment techniques, such as student learning
journals, checksheets, or portfolios. (I)

5.

Define functions and expressions using a symbolic mathematics package.
(II)

6.

Plot two and threedimensional representations of data and functions
using a symbolic mathematics package. (II)

7.

Perform algebraic manipulations of functions and expressions using a
symbolic mathematics package. (II)

8.

Fit functions to discrete sets of data using a symbolic mathematics
package. (II)

9.

Solve linear and nonlinear equations using a symbolic mathematics
package. (II)

10.

Solve systems of linear and nonlinear equations using a symbolic
mathematics package. (II)

11.

Use programming structures in a symbolic mathematics package to
implement algorithms for computer models. (II)

12.

Develop and refine computer models using a symbolic mathematics
package. (II, III)

13.

Describe the structure of a spreadsheet. (II)

14.

Use cell references to evaluate expressions in a spreadsheet. (II)

15.

Manipulate cells and ranges of cells to construct a spreadsheet. (II)

16.

Use conditional structures in the development of a spreadsheet. (II)

17.

Develop two and threedimensional graphs of data using a spreadsheet.
(II)

18.

Use appropriate graph types to represent different types of data
generated with a spreadsheet. (II)

19.

Use macros in the development of a spreadsheet. (II)

20.

Import and export data to and from other computer applications using a
spreadsheet. (II)

21.

Develop and refine computer models using a spreadsheet. (II, III)

22.

Explain what a computer model is and why engineers use computer
models. (III)

23.

Contrast deterministic and stochastic computer models. (III)

24.

Define heuristic, and explain how heuristics are used in the modeling
process. (III)

25.

Describe a sensitivity analysis, and explain how it relates to the
modeling process. (III)

26.

Build a deterministic computer model. (III)

27.

Build a stochastic computer model. (III)

28.

Explain how probability is used in the development of stochastic
computer models. (III)

29.

Interpret and analyze the results of computer models. (III)

30.

Explain how feasibility constraints are used in the modeling process.
(III)

31.

Present the results of computer models. (III)

