NEW COURSE
| Effective: | Fall 2000 | If adding a Graduate component to an existing course, check here ___ |
| Course Number: * | 765-445 | Cross Listed Number: | |||
| Course Title: | Computer Modeling | ||||
| 15 Character Abbreviation: | Comp. Modeling |
| 25 Character Abbreviation: | Computer Modeling |
| Sponsors: | Jonathan Kane &
Robert Siemann |
E-mail Address: | kanej@mail.uww.edu
siemannb@mail.uww.edu |
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| Department: | Mathematical & Computer Sciences | College: | Letters & Sciences | ||
| Co-sponsor: | E-mail Address: | ||||
| Department: | College: | ||||
| * You MUST verify course numbers with Registrar's Office prior to submitting (x1211) | |||||
| Other Programs Affected: |
| Check if course is to meet any of the following requirements: | |||||
| X None | __ Writing | __ Computer | __ Diversity | __ General Ed and Area | |
| Credit/Contact Hours: (per semester) | ||||
| Total lab hours: | 0 | Total lecture hours: | 48 | |
| Number of credits: | 3 | Total contact hours: | 48 | |
| Check if course is repeatable: | X No | _ Yes | (if yes, answer the following questions) | |||
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No of credits in major | |||||
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No of credits in degree | |||||
| Enter the appropriate titles if the course is required in any of the following: | |
| Major Title(s) | Applied Mathematics & Computer Science Broadfield |
| Minor Title(s) | |
| Emphasis Title(s) | |
Course justification:
The newly proposed Applied Mathematics and Computer Science Broadfield
major will require some courses specifically designed to teach students
how to apply computers to practical research problems which arise in mathematics
and the sciences. Computer modeling is one of those areas one would expect
majors in such a discipline to have. It teaches them to use some standard
techniques to identify mathematical models which apply to solutions of
real world problems. This course will set students from this program apart
from those in other Computer Science majors in that it will give them a
very practical view of how to solve real world problems rather than just
giving them the ability to write a computer program already designed to
solve a particular research problem.
Relationship to program assessment objectives:
This course being of an applied nature satisfies assessment objectives
for mathematical and computer application courses. In particular, it meets
the objectives of recognizing and applying mathematical models to the real
world, developing problem solving strategies and skills, and applying technology
to the solution of problems.
Budgetary impact:
There are already faculty in the Department of Mathematical and Computer
Sciences with the skills to teach this course. To be able to offer this
course on a regular basis will require that one extra section be taught
each two years. Currently the department is searching for three new faculty
with Computer Science expertise. With the filling of these positions, the
new section of the course can be staffed. The new emphases in Computer
Science will require adequate Computer Science laboratory facilities, but
there are now plans for a new Computer Science laboratory in Hyer Hall
which will be adequate to meet these needs.
Course description:
This course will introduce students to analytical techniques used to
develop models of systems, and to techniques and tools of applied mathematics
and computing used to solve such models. Though the topics are introductory
the student will see fundamental problems and appreciate the creative and
innovative methods used to solve these problems . Models discussed will
be chosen from Physics, Biology, Ecology, Economics, Cognitive Studies,
Manufacturing, and Engineering.
Course requisites:
Prerequisite: 760-355 and either 765-372 or 950-231
Course objectives and tentative course syllabus:
This course will introduce the student to 1) some of the analytical
techniques used to develop valid models of systems, processes, and entities
and 2) some of the techniques and tools of applied mathematics and applied
computing used to find solutions of such models. The topics are presented
at an introductory level however the student should be able to understand
some of the fundamental problems and appreciate the creative and innovative
methods used to solve these problems. The models discussed and developed
will be chosen from a broad list of fields such as Physics, Biology, Ecology,
Economics, Cognitive Studies, Manufacturing, and Engineering.
Students must have access to a package such as Mathematica on a very fast machine.
General Course Outline: