BS in Artificial Intelligence

Artificial Intelligence (AI) is increasingly a key driver of the Nation's research and innovation ecosystem, as it holds the potential to power discovery, innovation, and economic growth across every field of science and every sector of the economy. The term "artificial intelligence" refers to systems or machines that mimic human intelligence to perform tasks and can improve over time with use. Specifically, AI refers to a machine-based system that can, for a set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments.
AI is a branch of Computer Science (CS) that deals with enabling machines to find solutions to complex problems in a human-like manner. AI systems use data and inputs from machines and humans to:
- Perceive real and virtual environments,
- Abstract such perceptions into models through analysis in an automated manner, and
- Use model inference to formulate options for information or action.
AI systems can be applied to tasks spanning diverse areas, including planning and optimization (e.g., finding the most efficient route for delivery), perception and vision (e.g., recognizing objects in an image or video feed), modeling and simulation (e.g., predicting weather phenomenon), natural language understanding (e.g., understanding spoken or written language), robotic process automation (e.g., automating repetitive tasks), recommendation (suggesting products to online shoppers), and prediction (estimating evolving scientific concepts). These tasks can be accomplished through statistical inferences extracted from training data, as is the case with Machine Learning (ML), a subset of AI that focuses on enabling machines to learn and improve from experience.
Educational Objectives
The program outcomes of the proposed BSAI are (Graduates of the program will be able to):
- Identify how artificial intelligence can help produce a solution, given a real-world problem.
- Apply both symbolic and numeric models.
- Appy artificial intelligence for needs including decision making and action selection.
- Apply artificial intelligence for multi-agent systems, distributed systems, and man-machine systems.
- Design, analyze, implement, and use state-of-the-art AI and machine learning techniques to handle real-world data, including image, speech, and language data, and data including noise and uncertainty.
- Apply core computer science skills, including data structure and algorithm design, programming, and computing systems integration.
- Apply fundamental mathematical and modeling techniques, including discrete mathematics; logic; probability; statistics; and classification and regression.
Degree Plan
Required Credits: 120
Code | Title | Hours |
---|---|---|
University Core Curriculum | ||
Complete the University Core Curriculum requirements. | 42 | |
Designated Core (All courses required a grade of C or better.) | ||
Introductory Mechanics and Laboratory for PHYS 2320 | ||
Required Courses: | ||
AI 3311 | Fairness and Safety in AI | 3 |
AI 3312 | Data Integration-Processing | 3 |
AI 4310 | Human-Machine Intelligence I | 3 |
AI 4311 | Human-Machine Intelligence II | 3 |
AI 4320 | Artificial Intelligence | 3 |
AI 4361 | Machine Learning | 3 |
AI 4362 | Data Mining | 3 |
CS 1301 | Intro to Computer Science | 3 |
CS 1101 | Intro to Computer Science Lab | 1 |
CS 2401 | Elem. Data Struct./Algorithms | 4 |
CS 2302 | Data Structures | 3 |
CS 3331 | Adv. Object-Oriented Programng | 3 |
CS 3432 | Computer Organization | 4 |
CS 3195 | Junior Professionl Orientation | 1 |
CS 4375 | Operating Systems Concepts | 3 |
EE 2369 | Digital Systems Design I | 3 |
or ECE 2303 | Digital Systems Design I | |
EE 2169 | Laboratory for EE 2369 | 1 |
or ECE 2103 | Lab for ECE 2303 | |
MATH 1411 | Calculus I | 4 |
MATH 1312 | Calculus II | 3 |
MATH 2300 | Discrete Mathematics | 3 |
or CS 2101 & CS 2202 | Discrete Structures I and Discrete Structures II | |
MATH 3323 | Matrix Algebra | 3 |
STAT 3320 | Probability and Statistics | 3 |
Prescribed Elective Courses | 12 | |
Choose 6 hours from the AI courses below. | ||
Deep Learning | ||
Speech/Language Processing | ||
Computer Vision | ||
Special Topics in AI | ||
AI Internship | ||
Sutdents can take up to six hours Computer Science courses from the following: CS 1110, CS 1120, CS 2210, CS 1190, CS 1290, CS 3000 or 4000 level course. No more than three credit hours of CS 1xxx and CS 2xxx can count for technical electives. No more than six credit hours of CS 1xxx, CS 2xxx, CS 4181, CS 4371, CS 4x73, CS 4392 and/or CS 4393 (in any combination) can count for technical electives | 6 | |
Elective Courses | 5 | |
Courses that may be counted towards the free elective requirement are college-level courses (not remedial) offered by the college of Liberal Arts, Business, Science, or Engineering |
University Core Curriculum (A program may recommend specific courses. All courses require a C or better.)
I. Communication (six hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on developing ideas and expressing them clearly, considering the effect of the message, fostering understanding, and building the skills needed to communicate persuasively. Courses involve the command of oral, aural, written, and visual literacy skills that enable people to exchange messages appropriate to the subject, occasion, and audience. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Teamwork, and Personal Responsibility. | ||
Select six hours of the following: | 6 | |
For students whose secondary education was in English: | ||
Written and Oral Communication | ||
Writing About Literature | ||
Rhetoric & Composition I | ||
Rhetoric & Composition 2 | ||
Rhetoric, Composition & Comm | ||
For students whose secondary education was not in English: | ||
Expos Engl Compos-Spkr Esl | ||
Res & Crit Writng Spkr Esl | ||
TOTAL HOURS | 6 |
II. American History (six hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on the consideration of past events and ideas relative to the United States, with the option of including Texas History for a portion of this component area. Courses involve the interaction among individuals, communities, states, the nation, and the world, considering how these interactions have contributed to the development of the United States and its global role. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Social Responsibility, and Personal Responsibility. | ||
HIST 1301 | History of U.S. to 1865 | 3 |
HIST 1302 | History of U.S. Since 1865 | 3 |
TOTAL HOURS | 6 |
III. Language, Philosophy & Culture (three hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on how ideas, values, beliefs, and other aspects of culture express and affect human experience. Courses involve the exploration of ideas that foster aesthetic and intellectual creation in order to understand the human condition across cultures. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Social Responsibility, and Personal Responsibility. | ||
Select one of the following: | 3 | |
ANTH 2325 Language in Culture & Society | ||
Intro-African Amer Studies | ||
Latina/o Presence in the U.S. | ||
English Literature | ||
English Literature | ||
Intro to American Fiction | ||
Intro to American Drama | ||
Intro to American Poetry | ||
ENGL 2325 Language in Culture & Society | ||
Making of the "Other" Americas | ||
World History to 1500 | ||
World History Since 1500 | ||
LING 2325 Language in Culture & Society | ||
Introduction to Philosophy | ||
Ethics | ||
Introduct to Religious Studies | ||
Seeing & Naming: Conversations | ||
Introduction to Womens Studies | ||
Global Feminisms | ||
TOTAL HOURS | 3 |
IV. Mathematics (three hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on quantitative literacy in logic, patterns, and relationships. Courses involve the understanding of key mathematical concepts and the application of appropriate quantitative tools to everyday experience. Course objectives for this component are: Critical Thinking Skills, Communication Skills, and Empirical & Quantitative Skills. | ||
Select one of the following: | 3 | |
College Algebra | ||
Trigonometry and Conics | ||
Math in the Modern World | ||
Math for Social Sciences I | ||
Calculus I | ||
Precalculus | ||
Math for Social Sciences II | ||
Statistical Literacy | ||
Elementary Statistical Methods | ||
TOTAL HOURS | 3 |
V. Life & Physical Sciences (six hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on describing, explaining, and predicting natural phenomena using the scientific method. Courses involve the understanding of interactions among natural phenomena and the implications of scientific principles on the physical world and on experiences. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Empirical & Quantitative Skills, and Teamwork. | ||
Required: Lecture/Lab Sequence plus Additional Lecture | ||
Astronomy Lab I | ||
Elem Astronomy-Solar System | ||
Elem Astr Stars & Galaxies | ||
Introductory Biology Lab | ||
Human Biology Laboratory | ||
Topics in Study of Life I | ||
Organismal Biology Laboratory | ||
Introductory Biology | ||
Human Biology | ||
General Biology | ||
Organismal Biology | ||
Human Anat/Physio Lab I | ||
Human Anat/Physio Lab II | ||
Human Anat/Physiology I | ||
Human Anat/Physiology II | ||
Laboratory for CHEM 1305 | ||
Laboratory for CHEM 1306 | ||
Intro General Chemistry Lab | ||
Intro Organic & Biochem Lab | ||
General Chemistry | ||
General Chemistry | ||
Intro to General Chemistry | ||
Intro Organic & Biochemistry | ||
Environmental Sci. Lab | ||
Non-major Lab for ESCI 1301 | ||
Intro to Environmental Sci | ||
Laboratory for GEOG 1306 | ||
Physical Geography | ||
Lab for GEOL 1313 | ||
Lab for GEOL 1314 | ||
Principles of Earth Sci - Lab | ||
Laboratory for Geology 1212 | ||
Principles of Earth Sciences | ||
Principles of Earth Science | ||
The Blue Planet | ||
Natural Hazards | ||
Intro to Physical Geology | ||
Intro to Historical Geol | ||
Fundamentals of Nutrition | ||
Wellness Dynamics | ||
Microorganisms and Disease | ||
General Physics I | ||
General Physics II | ||
Laboratory for PHYS 2320 | ||
Laboratory for PHYS 2321 | ||
Introductory Mechanics | ||
Introductory Electromagnetism | ||
TOTAL HOURS | 6 |
VI. Political Science (six hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on consideration of the Constitution of the United States and the constitutions of the states, with special emphasis on that of Texas. Courses involve the analysis of governmental institutions, political behavior, civic engagement, and their political and philosophical foundations. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Social Responsibility and Personal Responsibility. | ||
Required Courses: | ||
POLS 2310 | Introduction to Politics | 3 |
POLS 2311 | American Gover & Politics | 3 |
TOTAL HOURS | 6 |
VII. Social & Behavioral Sciences (three hours)
Code | Title | Hours |
---|---|---|
Courses in this category focus on the application of empirical and scientific methods that contribute to the understanding of what makes us human. Courses involve the exploration of behavior and interactions among individuals, groups, institutions, and events, examining their impact on the individual, society, and culture. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Empirical & Quantitative Skills, and Social Responsibility. | ||
Select one of the following: | 3 | |
Intro-Phys Anth/Archeolog | ||
Intro-Cultural Anthropology | ||
Cultural Geography | ||
Introduction to Human Language | ||
Asian American Studies | ||
Econ for Engrs & Scientists | ||
Intro to Chicano Studies | ||
Interpersonal Communication | ||
Mass Media and Society | ||
Principles of Macroeconomics | ||
Principles of Microeconomics | ||
Introduction to Ed Psychology | ||
Action Research in Classrooms | ||
Introduction to Human Language | ||
Cultural Geography | ||
Leadership in Action | ||
Introduction to Human Language | ||
Lang. Inside & Out: Sel Topics | ||
Introduction to Psychology | ||
Introduction to Sociology | ||
Cultural Geography | ||
TOTAL HOURS | 3 |
VIII. Creative Arts
Code | Title | Hours |
---|---|---|
Courses in this category focus on the appreciation and analysis of creative artifacts and works of the human imagination. Courses involve the synthesis and interpretation of artistic expression and enable critical, creative, and innovative communication about works of art. Course objectives for this component are: Critical Thinking Skills, Communication Skills, Teamwork, and Social Responsibility. | ||
Select one of the following: | 3 | |
Art Appreciation | ||
History of Art I | ||
History of Art II | ||
Chicana/o Fine Arts Appreciat | ||
Introduction to Dance | ||
Intro-Art of Motion Pict. | ||
Music Appreciation | ||
Jazz to Rock | ||
Music, Culture, and Society | ||
Introduction to Theatre | ||
TOTAL HOURS | 3 |
IX. Component Area Option (six hours)
Code | Title | Hours |
---|---|---|
a. A minimum of 3 SCH must meet the definition and corresponding Core Objectives specified in one of the foundational component areas. b. As an option for up to 3 semester credit hours of the Component Area Option, an institution may select course(s) that: (i) Meet(s) the definition specified for one or more of the foundational component areas; and (ii) Include(s) a minimum of three Core Objectives, including Critical Thinking Skills, Communication Skills, and one of the remaining Core Objectives of the institution's choice. | ||
ANTH 1312 Science & Society | ||
ANTH 1313 Human Variation | ||
Intro to Global Business | ||
Public Speaking | ||
Business/Profession Comm | ||
Intro-Computational Thinking | ||
Computer Programming Sci/Engr | ||
Eng Innovation and Leadership | ||
Engineering Design Experience | ||
Applied Engineering Analysis | ||
KIN 1301 Physical Activity for Health & Wellness | ||
Introduction to Leadership | ||
Inquiry in Math & Science | ||
SOCI 1312 Science & Society | ||
Comm. Var. Across the Lifespan | ||
Seminar/Critical Inquiry | ||
TOTAL HOURS | 6 |
4-Year Sample Degree Plan
BS in Artificial Intelligence with Calculus
Code | Title | Hours |
---|---|---|
1st Year | ||
Fall | ||
MATH 1411 | Calculus I | 4 |
CS 1301 & CS 1101 | Intro to Computer Science and Intro to Computer Science Lab | 4 |
CS 2101 | Discrete Structures I | 1 |
RWS 1301 | Rhetoric & Composition I | 3 |
UNIV 1301 | Seminar/Critical Inquiry | 3 |
Spring | ||
MATH 1312 | Calculus II | 3 |
CS 2401 | Elem. Data Struct./Algorithms | 4 |
CS 2202 | Discrete Structures II | 2 |
HIST 1301 | History of U.S. to 1865 | 3 |
RWS 1302 | Rhetoric & Composition 2 | 3 |
2nd Year | ||
Fall | ||
CS 2302 | Data Structures | 3 |
EE 2369 | Digital Systems Design I | 3 |
or ECE 2303 | Digital Systems Design I | |
EE 2169 | Laboratory for EE 2369 | 1 |
or ECE 2103 | Lab for ECE 2303 | |
MATH 3323 | Matrix Algebra | 3 |
Component Area Option * | 3 | |
HIST 1302 | History of U.S. Since 1865 | 3 |
Spring | ||
CS 3331 | Adv. Object-Oriented Programng | 3 |
CS 3432 | Computer Organization | 4 |
PHYS 2320 & PHYS 2120 | Introductory Mechanics and Laboratory for PHYS 2320 | 3 |
POLS 2310 | Introduction to Politics | 3 |
3rd Year | ||
Fall | ||
AI 3312 | Data Integration-Processing | 3 |
CS 3195 | Junior Professionl Orientation | 1 |
AI 4362 | Data Mining | 3 |
CS 4375 | Operating Systems Concepts | 3 |
STAT 3320 | Probability and Statistics | 3 |
POLS 2311 | American Gover & Politics | 3 |
Spring | ||
AI 3312 | Data Integration-Processing | 3 |
AI 4361 | Machine Learning | 3 |
AI 4320 | Artificial Intelligence | 3 |
Life & Physical Sciences Lecture * | 3 | |
Creative Arts * | 3 | |
4th Year | ||
Fall | ||
AI 4310 | Human-Machine Intelligence I | 3 |
AI 43XX Artificial Intelligence Elective | 3 | |
AI 43XX Artificial Intelligence Elective | 3 | |
Life & Physical Sciences * | 3 | |
Free x3xx Free Electives | 3 | |
Spring | ||
AI 4311 | Human-Machine Intelligence II | 3 |
CS or AI x3xx Computer Science of Artificial Intelligence Elective | 3 | |
CS or AI x3xx Computer Science of Artificial Intelligence Elective | 3 | |
Social & Behavioral Sciences * | 3 | |
Free x2xx Free Electives | 2 |