version: 28 February 2010

MAJOR IN APPLIED COMPUTING TECHNOLOGY

Colorado State University

Concentration in Computing and Human Factors

effective Fall semester 2010

This concentration is designed to meet the demand for experts in human factors in computing and interface design, and provide an academic program for students interested in the interdisciplinary study of cognitive science, and artificial intelligence applied to human-computer interaction.
The program combines computer science courses leading to expertise in artificial intelligence and graphics with cognitive psychology courses and specialized courses in human-computer interaction. This program aims to produce an understanding of human psychological abilities and relate them to computer use and the ergonomics of computational services.
Potential Occupations
This program prepares students for work in computer interface design and organizations evaluating human factors in computer software design. Graduates of this program will go on to become:

User Interface Designers and Architects
Human Factors Engineers/Interaction Designers.
User Trial Engineers/Researchers
Computer Interface Programmers
Computer Ergonomics Consultants

Notes

Graduation requirements are subject to change. A student can be held for any changes in requirements in years not completed except if such changes would extend the time normally required to complete the degree (this applies only if a student is full-time and making normal progress towards degree completion).
Special study or practicum courses may not be used to meet any requirements other than total credits toward graduation. Such courses may apply toward the University upper division credit requirements.
No transfer credit from another institution will be given for a course in which a grade of D or less was received.
Students are discouraged from taking an overload. Only students with sophomore or above status, who have an overall 3.5 GPA or better, and a 3.5 GPA or better in computer science courses, will be permitted to take an overload. This rule applies to graduating seniors.
A waiver mechanism exists to permit acceptance of equivalent courses to meet requirements, and to recognize other exceptional circumstances. Students should consult the key advisor before taking a substitute course if they believe waivers are appropriate.
A C or better is needed in required CS classes in order to satisfy prerequisites; earning less than a C (including a C-) is the same as not having taken the course for prerequisite purposes.

Suggested Sequence of Courses

120 credits required for graduation

*Freshman Year:*:		*Sophomore Year:*
Course	Credits	Course	Credits
CO150	3	CS200	4
CS160	4	CS270	4
CS161	4	CS253	4
MATH160	4	PSY250	4
Natural Sciences	4	PSY252	3
PSY100	3	MATH161	4
Arts and Humanities	3	MATH229	2
Electives	5	STATISTICS	3-6
		Electives	2-0
Total Credits	30	Total Credits	30-31

*Junior Year:*		*Senior Year:*
Course	Credits	Course	Credits
Advanced Psychology	3	PSY354	3
Advanced Psychology Lab	2	CS410	4
Advanced Psychology	3	CS440	4
CT310	4	Historical Perspectives	3
CS320	3	Arts and Humanities	3
Global and Cultural Awareness	3	Natural Sciences	3
Additional Communications	3	Electives	10-9
Electives	9
Total Credits	30	Total Credits	30-29

Course Requirements for a B.S. Degree in Applied Computing Technology: Computing and Human Factors Concentration

Approved Courses for the categories of the All University Core Curriculum can be seen at All University Core Curriculum

All University Core Curriculum (Eff. Fall 2008)
									CR
I Basic Competencies	
A. CO150 College Composition
	(Composition Placement Exam score of 3 to 6
	or CO192 or  CO130						3
									   
B. Mathematics,  MATH160 Calculus for Physical Sciences I 	
	     (MATH126, concurrent registration in MATH124)  		4
II. Core Competencies
A.  Advanced Writing					                3

III Foundations and Perspectives (choose from AUCC lists)

A. Natural Sciences							7
B. Arts and Humanities							6
C. Social and Behavioral Sciences (PSY100 required)			3
D. Historical Perspectives						3
E. Global and Cultural Awareness					3
																			
(AUCC requirements total						32)

Major Requirements

Computer Technology Core (35 credits):

	All of:
CS160 : Foundations in Programming (MATH118)				4
CS161 : Object-oriented Problem Solving (CS160; MATH124)		4
CS200 : Algorithms and Data Structures (CS161, MATH141 or 155 or 160)	4
CS253 : Problem Solving in C++ (CS200; CS270)				4
CS270 : Computer Organization  (CS161, MATH124; concurrent 
	registration in CS200)						4
CS320 :	Algorithms: Theory and Practice (CS200; MATH161; MATH229)	3
CT310 : Web Development (CS200)						4
CS410 : Computer Graphics (CS253, MATH229)				4
CS440 : Artificial Intelligence (CS320, CS253)				4(AUCC Cat. 4A,C)


Cognitive Psychology Core (18 credits)
																				All Of:
PSY250 : Research Methods (PSY100)					4
PSY252 : Mind, Brain & Behavior	 (PSY100)				3
PSY354 : Human-Computer Interfaces 	                        	3(AUCC Cat. 4B,C)

Two of the following:
PSY452 : Cognitive Psychology (PSY250)					3
PSY454 : Physiological Psychology (PSY250)				3
PSY456 : Sensation and Perception  (PSY250)				3
							 
One of the following:
PSY453 : Cognitive Psychology Lab (PSY452 or concurrent)		2
PSY455 : Physiological Psychology Lab (PSY454 or concurrent)		2
PSY457 : Sensing and Perception Lab (PSY456 or concurrent)		2


Mathematics and Statistics (9-12 credits):

MATH161 : Calculus for Physical Scientists II (MATH160; MATH124)	4
MATH229 : Matrices and Linear Equations (MATH141 or 155 or 160)		2

(STAT311 : Statistics for Behavioral Sciences I (MATH118)		3
	and
STAT312 : Statistics for Behavioral Sciences II (STAT311) 		3)
	or
STAT301 : Introduction to Statistical Methods (MATH118)			3	
	or
STAT307 : Introduction to Biostatistics (MATH117)			3
	or
STAT315 : Statistics for Engineers and Scientists (MATH161 or 155)	3

(TOTAL Major requirements						63-66)

TOTAL required 								95-98

Upper division required							29-32
Free Electives (must include at least 13 upper division credits)	26-23

TOTAL:									120