MCCCD Program Description

Major: 3891 Catalog Year: 2023-2024 Effective Term: 2021 Spring Last Admit Term: 2022 Summer Award: AAS Total Credits: 60-73 CIP Code: 11.0102	Primary College: Initiating College: Estrella Mountain Community College Program Availability: Not Found Program Availability: Shared Program Availability: CG EM Field of Interest: Science, Technology, Engineering and Mathematics Instructional Council: Occupational Administrators (53) GPA: 3.0
SOC Code: Upon completion of this degree, students may pursue a career as: 15-1211.00 Computer Systems Analysts Upon completion of a bachelor`s degree, students may pursue a career as: 15-1251.00 Computer Programmers 15-1132.00 Software Developers, Applications 15-1299.00 Computer Occupations, All Other 15-1221.00 Computer and Information Research Scientists

Description: The Associate in Applied Science (AAS) in Artificial Intelligence and Machine Learning 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.

Learning Outcomes
1. 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]) 2. 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) 3. 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]) 4. 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) 5. 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]) 6. 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]) 7. 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])

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

Required Courses

AIM100 Introduction to Artificial Intelligence 3
+ AIM110 Introduction to Machine Learning 3
+ AIM210 Natural Language Processing 3
+ AIM220 Artificial Intelligence for Computer Vision 3
+ AIM230 Artificial Intelligence for Business Solutions 3
+ AIM240 Artificial Intelligence Capstone Project 3

CIS105 Survey of Computer Information Systems (3) OR
May be waived by permission of the Program Director 0-3

+ CIS119DO Introduction to Oracle: SQL (3) OR
+ CIS276DA MySQL Database (3) OR
+ CIS276DB SQL Server Database (3) 3

+ CIS156 Python Programming: Level I 3
+ ECE102 Engineering Analysis Tools and Techniques 2
+ ECE103 Engineering Problem Solving and Design 2
+ MAT206 Elements of Statistics 3
+ MAT225 Elementary Linear Algebra 3

Credits: 34-37

Restricted Electives
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: + CIS150 Programming Fundamentals 3 + CIS150AB Object-Oriented Programming Fundamentals 3 + CIS159 Visual Basic Programming I 3 + CIS162++ Any C Programming: Level I course 3 + CIS163AA Java Programming: Level I 3 + CIS165++ Any Mobile Application Development course 3 + CSC100++ Introduction to Computer Science (C++) 3-4 + CSC110++ Introduction to Computer Science (Java) 3-4	Credits: 0-3

General Electives
	Credits:

General Education Requirements

General Education Requirement	Credits: 23-36

General Education Core	Credits: 13-26

First-Year Composition	Credits: 6
+ ENG101 First-Year Composition (3) OR + ENG107 First-Year Composition for ESL (3) 3 + ENG102 First-Year Composition (3) OR + ENG108 First-Year Composition for ESL (3) 3

Oral Communication	Credits: 3
COM100 Introduction to Human Communication (3) OR COM110 Interpersonal Communication (3) OR + COM225 Public Speaking (3) OR COM230 Small Group Communication (3) OR Any approved general education course from the Oral Communication area 3

Critical Reading	Credits: 0-3
+ CRE101 College Critical Reading and Critical Thinking (3) OR Equivalent as indicated by assessment (0) 0-3

Mathematics	Credits: 4-14
Any approved general education course in the Mathematical Applications [MA] area (that serves as a prerequisite for) MAT22+. 0-9 + MAT220 Calculus with Analytic Geometry I (5) OR + MAT221 Calculus with Analytic Geometry I (4) 4-5

General Education Distribution	Credits: 10

Humanities, Arts and Design	Credits: 3
Any approved general education course in the Humanities, Arts and Design area. 3

Social-Behavioral Sciences	Credits: 3
Any approved general education course in the Social-Behavioral Sciences area. 3 Recommend PSY101 or SOC101.

Natural Sciences	Credits: 4
Any approved general education course in the Natural Sciences area. 4

+ indicates course has prerequisites and/or corequisites.
++ indicates that any suffixed course may be selected.

MCCCD Governing Board Approval Date: August 25, 2020

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.