Unit: Financial Economics & Institutions
Program: Financial Engineering (MS)
Degree: Master's
Date: Fri Oct 29, 2010 - 4:04:00 pm

1) Below are the program student learning outcomes submitted last year. Please add/delete/modify as needed.

1: Graduates will be able to analyze complex problems in financial mathematics. Assessed in

FIN 651, FIN 654, FIN 657

Rubrics:

0 = No understanding of financial mathematics or complex problems.

1 = Partial development of mathematical approaches.

2 = Ability to analyze complex problems and apply a suitable financial mathematical process.

2: Graduates will be able to evaluate and correlate stochastic processes. Assessed in FIN 655

Rubrics:

0 = No understanding of stochastic processes.

1 = Understands what a stochastic process is but is not able to evaluate and correlate a

stochastic process.

2 = Is able to evaluate and correlate stochastic processes.

3: Graduates will be able to forecast stochastic events in finance and related fields as weather

(hurricanes, floods, volcanoes) Assessed in FIN 655, FIN 658

Rubrics:

0 = Does not understand and is unable to forecast stochastic events in finance and related fields.

1 = Understands but is unable to forecast stochastic events in finance and related fields.

2 = Is able to forecast stochastic events in finance and related fields by distinguishing what

approach can be used to forecast the particular stochastic event.

4: Graduates will have the computational skills to program complex stochastic processes in

finance and related fields. Assessed in FIN 652, FIN 659

Rubrics:

0 = Lack in understanding how to program or create a program of a complex stochastic process.

1 = Programming skill is adequate but is unable to program complex stochastic processes.

2 = Is able to program and program a financial process in finance or a related field.

5: Graduates will be able to apply their knowledge in the insurance, risk‐management, and

investment banking industry as well as in related fields. Assessed in FIN 653, FIN 656, FIN 661

Rubrics:

0 = Students are unable to identify and apply processes in the insurance, risk management, and

investment banking industry as well as related fields.

1 = Students are able to identify processes but do not have an understanding of the various

processes in the insurance, risk‐management, and investment banking industry as well as in

related fields.

2 = Students have a clear understanding of the process of the insurance, risk‐management, and

investment banking industry as well as in related fields

2) As of last year, your program's SLOs were published as follows. Please update as needed.

Department Website URL:
Student Handbook. URL, if available online:
Information Sheet, Flyer, or Brochure URL, if available online:
UHM Catalog. Page Number:
Course Syllabi. URL, if available online:
Other:
Other:

3) Below is the link to your program's curriculum map (if submitted in 2009). If it has changed or if we do not have your program's curriculum map, please upload it as a PDF.

No map submitted.

4) The percentage of courses in 2009 that had course SLOs explicitly stated on the syllabus, a website, or other publicly available document is indicated below. Please update as needed.

0%
1-50%
51-80%
81-99%
100%

5) State the assessment question(s) and/or goals of the assessment activity. Include the SLOs that were targeted, if applicable.

The MFE program was not assessed during the 2009-2010 academic year

6) State the type(s) of evidence gathered.

7) Who interpreted or analyzed the evidence that was collected?

Course instructor(s)
Faculty committee
Ad hoc faculty group
Department chairperson
Persons or organization outside the university
Faculty advisor
Advisors (in student support services)
Students (graduate or undergraduate)
Dean/Director
Other:

8) How did they evaluate, analyze, or interpret the evidence?

Used a rubric or scoring guide
Scored exams/tests/quizzes
Used professional judgment (no rubric or scoring guide used)
Compiled survey results
Used qualitative methods on interview, focus group, open-ended response data
External organization/person analyzed data (e.g., external organization administered and scored the nursing licensing exam)
Other:

9) State how many persons submitted evidence that was evaluated.
If applicable, please include the sampling technique used.

10) Summarize the actual results.

11) How did your program use the results? --or-- Explain planned use of results.
Please be specific.

12) Beyond the results, were there additional conclusions or discoveries? This can include insights about assessment procedures, teaching and learning, program aspects and so on.

13) Other important information: