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  CORONAVIRUS (COVID-19):

Fall 2020 Update:

  • Due to the escalation of COVID-19 cases, our in-person instruction and services plans may be modified to continue to protect the health and safety of our communities.
  • Fall classes start August 24. Go to the LearnSafe website for additional information.
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  • Please follow these guidelines to report COVID-19 Diagnosis or Exposure.

 

Artificial Intelligence

The Associate in Applied Science (AAS) in Artificial Intelligence focuses on building machine learning models that can be used for predicting, making decisions and enhancing human capabilities. The program prepares students for entry level positions in a variety of fields using artificial intelligence, including the information technology, automotive, healthcare, aerospace, industrial, and manufacturing industries. Program content includes an introduction to artificial intelligence and machine learning, natural language processing, computer vision, and artificial intelligence for business solutions and other applications. The curriculum also includes coursework in computer programming, math, engineering, and statistics.

Details

Details iconImportant information you’ll need when applying for admission:
Field of Interest: 
Science, Technology, Engineering and Mathematics
Type: 
Associate Degree
Academic Plan Code: 
3891
Total credits required: 
60-73
Effective term: 
2020 Fall
Award notes

Students must earn a grade of C or better for all courses required within the program.

Academic Plan: 
Artificial Intelligence (DEG)
Required courses
Course #Course TitleCredits
Credits:34-37
AIM100Introduction to Artificial Intelligence3
AIM110Introduction to Machine Learning3
AIM210Natural Language Processing3
AIM220Artificial Intelligence for Computer Vision3
AIM230Artificial Intelligence for Business Solutions3
AIM240Artificial Intelligence Capstone Project3
 
CIS105Survey of Computer Information Systems (3) OR
May be waived by permission of the Program Director0-3
 
CIS119DOIntroduction to Oracle: SQL (3) OR
CIS276DAMySQL Database (3) OR
CIS276DBSQL Server Database (3)3
 
CIS156Python Programming: Level I3
ECE102Engineering Analysis Tools and Techniques2
ECE103Engineering Problem Solving and Design2
MAT206Elements of Statistics3
MAT225Elementary Linear Algebra3
Restricted Electives
Course #Course TitleCredits
Credits:0-3
Select a programming language from below that best aligns with academic and professional goals (to equal a minimum of 60 credits as needed) in one of the following areas:
 
CIS150Programming Fundamentals3
CIS150ABObject-Oriented Programming Fundamentals3
CIS159Visual Basic Programming I3
CIS162++Any C Programming: Level I course3
CIS163AAJava Programming: Level I3
CIS165++Any Mobile Application Development course3
CSC100++Introduction to Computer Science (C++)3-4
CSC110++Introduction to Computer Science (Java)3-4
General education requirements
General Education RequirementCredits: 23-36
 
General Education CoreCredits: 13-26
 
First-Year CompositionCredits: 6
ENG101First-Year Composition (3) OR
ENG107First-Year Composition for ESL (3)3
 
ENG102First-Year Composition (3) OR
ENG108First-Year Composition for ESL (3)3
 
Oral CommunicationCredits: 3
COM100Introduction to Human Communication (3) OR
COM110Interpersonal Communication (3) OR
COM225Public Speaking (3) OR
COM230Small Group Communication (3) OR
Any approved general education course from the Oral Communication area3
 
Critical ReadingCredits: 0-3
CRE101College Critical Reading and Critical Thinking (3) OR
Equivalent as indicated by assessment (0)0-3
 
MathematicsCredits: 4-14
Any approved general education course in the Mathematical Applications [MA] area (that serves as a prerequisite for) MAT22+.0-9
 
MAT220Calculus with Analytic Geometry I (5) OR
MAT221Calculus with Analytic Geometry I (4)4-5
 
General Education DistributionCredits: 10
 
Humanities and Fine ArtsCredits: 3
Any approved general education course in the Humanities, Arts and Design area.3
 
Social and Behavioral SciencesCredits: 3
Any approved general education course in the Social-Behavioral Sciences area.3
 
Recommend PSY101 or SOC101.
 
Natural SciencesCredits: 4
Any approved general education course in the Natural Sciences area.4
Competencies
  • Apply common artificial intelligence (AI) concepts and methodologies, including neural networks/Deep Learning, machine learning, Natural Language Processing, Computer Vision, and data science, for analysis and decision making. (AIM100, AIM110, AIM210, AIM220, AIM230, AIM240, CIS105, CIS119DO, CIS156, CIS276DA, CIS276DB, MAT206, MAT225, CIS150, CIS150AB, CIS159, CIS162++, CIS163AA, CIS165++, CSC100++, CSC110++, MAT220, MAT221, [SG], [SQ])
  • Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems. (AIM100, AIM110, AIM210, AIM220, AIM230, AIM240, ECE103)
  • Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions. (AIM100, AIM110, AIM210, AIM220, AIM230, AIM240, CIS105, CIS119DO, CIS156, CIS276DA, CIS276DB, ECE102, ECE103, MAT206, MAT225, CIS150, CIS150AB, CIS159, CIS162++, CIS163AA, CIS165++, CSC100++, CSC110++, MAT220, MAT221, [SG], [SQ])
  • Use appropriate programming languages to implement artificial intelligence (AI) solutions. (AIM100, AIM110, AIM210, AIM220, AIM230, AIM240, CIS105, CIS119DO, CIS156, CIS276DA, CIS276DB, ECE102, MAT206, MAT225, CIS150, CIS150AB, CIS159, CIS162++, CIS163AA, CIS165++, CSC100++, CSC110++, MAT220, MAT221)
  • Communicate in varied settings, orally and visually and in writing, in a culturally responsive manner. (AIM110, AIM210, AIM220, AIM230, AIM240, ECE103, (COM), [FYC], [HU], [SB])
  • Collaborate with diverse individuals and teams to design and implement artificial intelligence and machine learning solutions. (AIM110, AIM210, AIM220, AIM230, AIM240, ECE103, MAT206, MAT225, MAT220, MAT221, (COM), [FYC], [HU], [SB], [SG], [SQ])
  • Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning. (AIM100, AIM110, AIM210, AIM220, AIM230, AIM240, (COM), [FYC], [HU], [SB])

At Maricopa, we strive to provide you with accurate and current information about our degree and certificate offerings. Due to the dynamic nature of the curriculum process, course and program information is subject to change. As a result, the course list associated with this degree or certificate on this site does not represent a contract, nor does it guarantee course availability. If you are interested in pursuing this degree or certificate, we encourage you to meet with an advisor to discuss the requirements at your college for the appropriate catalog year.