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2003-2005 - Special Collections - University of Baltimore

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Applied Statistics (APST)<br />

Applied Statistics courses (APST) are <strong>of</strong>fered<br />

by the Division <strong>of</strong>Applied Psychology and<br />

Qytantitative Methods, Yale Gor(um College<br />

<strong>of</strong>Liberal Arts.<br />

APST 531 Introductory Statistics for the<br />

Behavioral Sciences (3) An introduction<br />

to statistics for behavioral sciences. Provides<br />

a thorough development <strong>of</strong> descriptive statistical<br />

tools for one and two variables, both<br />

numeric and graphic. Students are introduced<br />

to statistical techniques through<br />

computation and a statistical micro-computer<br />

package. Includes the normal distribution,<br />

sampling distributions, the logic <strong>of</strong><br />

hypothesis testing and the t-test. Analysis <strong>of</strong><br />

variance is covered as time permits.<br />

Prerequisite: Microcomputer literacy.<br />

APST 789 <strong>Special</strong> Topics in Applied<br />

Statistics (3) One or more specific applied<br />

statistical topics or techniques may be studied<br />

by advanced students. Topics arise from<br />

mutual interests <strong>of</strong> faculty and students.<br />

May be repeated if the topic differs.<br />

APST 799 Independent Study (1-3)<br />

Independent study <strong>of</strong> particular statistical<br />

topics or techniques in an applications setting.<br />

The topic and number <strong>of</strong> credits will<br />

vary with individual student interest and<br />

the extent <strong>of</strong> the study. Students submit a<br />

written proposal with the consent and<br />

advice <strong>of</strong> a full-time faculty member. The<br />

faculty member approves the proposal and<br />

agrees to supervise the study prior to registration.<br />

146<br />

Computer Science (COSC)<br />

Computer Science courses (COSC) are <strong>of</strong>fered<br />

by the School <strong>of</strong>Information Arts and<br />

Technologies, Yale Gordon College <strong>of</strong>Liberal<br />

Arts.<br />

COSC 789 <strong>Special</strong> Topics in Computer<br />

Science (3) One or more specific topics in<br />

computer science or its applications may be<br />

studied by advanced students. Topics arise<br />

from mutual interests <strong>of</strong> faculty and students.<br />

May be repeated if topic differs.<br />

COSC 799 Independent Study (1-3)<br />

A problem-solving project, a programming<br />

project and/or independent research in some<br />

aspect <strong>of</strong> computer science. The topic and<br />

number <strong>of</strong> credits vary with individual student<br />

interest and the extent <strong>of</strong> study. Prior to<br />

registration, the students submit a written<br />

proposal with the consent and advice <strong>of</strong>a<br />

full-time faculty member, who approves it<br />

and agrees to supervise the study.<br />

Criminal Justice/Law Enforcement<br />

(CRJU)<br />

CriminalJustice courses (CRJu) are <strong>of</strong>fered<br />

by the Division <strong>of</strong>Criminology, Criminal<br />

Justice, and Social Policy, Yale Gordon College<br />

<strong>of</strong>Liberal Arts.<br />

CRJU 602 Research Techniques in<br />

Criminal Justice (3) Provides knowledge<br />

<strong>of</strong> and experience with the methods used in<br />

studying social science problems. Emphasis<br />

is on research, designs and instruments, and<br />

policy implications. Critical and analytical<br />

skills are developed for use in future<br />

research and proposal writing. This course is<br />

a prerequisite for CRJU 603.

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