Skip to main content

MATH 461 — ADVANCED CALCULUS I

CIM Verified
Mathematics
3
Objectives
7
Matches
0
Reviewed
4
Occupations
Your experience with this course
Top occupation matches for this course
35.6% Operations Research Analysts 2t
35.0% Mathematicians 2t
36.8% Bioinformatics Scientists 1t
40.6% Financial Quantitative Analysts 1t

Learning Objectives & Matches

LO1 CIM

Prove the chain rule for the composition of differentiable vector valued functions of several variables

0 O*NET task matches
Batch:
No O*NET task matches for this objective.
LO2 CIM

Apply iterative methods for solving systems of equations of at least two non-linear equations

7 O*NET task matches
Batch:
Financial Quantitative Analyst 3.5/5
41% ok

Devise or apply independent models or tools to help verify results of analytical systems.

Bioinformatics Scientists 4.2/5
37% ok

Create novel computational approaches and analytical tools as required by research goals.

Operations Research Analysts 3.7/5
36% ok

Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.

Mathematicians 3.2/5
35% ok

Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.

Mathematicians 3.9/5
35% ok

Perform computations and apply methods of numerical analysis to data.

Operations Research Analysts 4.4/5
33% ok

Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

Financial Quantitative Analyst 3.5/5
31% ok

Devise or apply independent models or tools to help verify results of analytical systems.

LO3 CIM

Apply the implicit function theorem to determine the matrix of partial derivatives of a solution to a system of at least two non-linear equations

0 O*NET task matches
Batch:
No O*NET task matches for this objective.
Source: Course learning outcomes from EWU's official Course Inventory Management (CIM) system. O*NET task matches are computed by comparing each learning outcome statement against every O*NET task statement using sentence-embedding similarity; faculty review confirms which matches count as preparation evidence.