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University of the Sciences in Philadelphia

Misher College of Arts and Sciences

Department of Mathematics, Physics and Computer Science

Special Topics in Computer Science -

CS 490

(Information Flows Analysis)

Spring 2002

 

 

Instructor:

Dr. Anatoly Kurkovsky

Seminars: 

Fridays 10:00 a.m. -13:00 p.m. at McN 102

Telephone: (215) 596 Ė 7615

E-mail: a.kurkov@usip.edu

Course Description:

Prerequisite: permission of instructor.

Simulation modeling, as an instrument of systems analysis, suggests a design of logical and mathematical description of the studied process or object. Such description is a foundation for a simulation model. One of the most important parts of this description is specialized analysis of information flows. The goal of this course is to provide a good background in main techniques and concepts of Information Flow Analysis with introduction to Event Analysis and Object-Flow Diagram. Subjects covered include:

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Principles of Simulation Modeling;

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Input Data Analysis;

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Object Analysis Methods;

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Process Modeling;

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Actual examples of Information Flow Analysis.

Materials:

Required Textbooks: 

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A. "Handbook of Simulation" edited by Jerry Banks. 1998, John Wiley & Sons. ISBN 0-471-13403-1.

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B. "Object-Oriented Methods ĖPragmatic Considerations" by James Martin and James J. Odell. 1996, Prentice Hall. ISBN 0-13-630864-3

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C. "Systems Analysis And Design Methods" by Jeffrey L. Whitten, Lonnie D. Bentley, and Kevin C. Dittman, Fifth Edition, 2001. McGraw-Hill. ISBN 0-07-231593-3.

Methods of Instruction:

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Seminars and discussions

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Take-home assignments

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Final course materialís synopsis or project

Evaluation:

Your performance in this class will be measured by take-home assignments (55%), your class participation (25%), and final course materialís synopsis or project (20%).The types of assignments may include:

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small in-class project discussions,

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take-home (reading) assignments.

Evaluation of your class participation will include:

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attendance,

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understanding of the course material,

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responsibility to answer professorís questions. 

The final grade will be derived from your performance on the assignments, class participation, and final essay as follows:

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A: 90 - 100

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B: 80 - 89

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C: 70 - 79

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D: 60 - 69

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F: below 60

Tentative Schedule:

(These dates may change depending upon the pace of the course.)

#

Starting

Book

Topic

1.

Jan 14

 

Brief Review of Information Flow Analysis Features

2.

Jan 21

A

Principles of Simulation Modeling (p.p. 3-51)

3.

Jan 28

A

Input Data Analysis (p.p. 55-92)

4.

Feb 4

B

Introduction to OO Diagramming Techniques (p.p. 27-38)

5.

Feb 11

B

Object Diagrams (p.p. 39-54)

6.

Feb 18

B

Object Analysis Methods and Event Diagrams (p.p. 55-78)

7.

Feb 25

B

Event Analysis (p.p. 79-100)

8.

Mar 4

B

Object-Flow Diagrams and Object Flow Analysis Method (p.p. 101-130)

9.

Mar 11

 

Spring Recess

10.

Mar 18

B

Systems Analysis: Engineering Tasks (p.p. 435-456

11.

Mar 25

C

Process Modeling (p.p. 306-360)

12.

Apr 1

A

Simulation in Health (p.p. 605-627)

13.

Apr 8

 

Data Collection and Initial Information Flow Analysis for New Drugs Development Process

14.

Apr 15

 

Data Collection and Initial Information Flow Analysis for New Drugs Development Process

15.

Apr 22

 

Data Collection and Initial Information Flow Analysis for New Drugs Development Process

16.

Apr 29

 

Discussion of Student Final Course Materialís Synopsis or Project

 

Attendance policy:

It is required that students attend every seminar. You are allowed to miss up to two seminars without a written excuse. If you miss more than two seminars your grade will be reduced according to the number of missed seminars.

Plagiarism and cheating:

You may work together and share ideas on any take-home assignment; you may seek help from anyone. However, submitting identical final essay will be considered cheating. No cheating in any form will be tolerated.

 

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Last updated: March 05, 2020