Technology Studies: Artificial Intelligence, AS
Program code: ARIN-AS-COT
Locations: Capital, Northwestern
Program Description
The Technology Studies Artificial Intelligence Option associate degree program prepares students to develop and apply artificial intelligence (AI) solutions to problems in the fields of predictive analytics, natural language processing, and computer vision. The program develops students’ knowledge and skills in computer programming, machine learning, mathematics and statistics, and enables students to use AI to enhance human capabilities in the fields of business. The program prepares students to transfer to a baccalaureate program in computer science or data science, or to acquire an entry level position in fields that utilize artificial intelligence, such as business, technology, healthcare, industrial and manufacturing industries.
Tech Studies Learning Outcomes
- Apply mathematical, scientific and technological principles and concepts to identify and formulate solutions to technical problems.
- Apply critical thinking and problem-solving skills to solve technical problems.
- Demonstrate the ability to function on teams.
- Recognize the need to engage in life-long learning.
Artificial Intelligence Specialization Learning Outcomes
- Transition seamlessly into a Bachelor of Science Degree Program in Computer Science, Artificial Intelligence, or Technology Management.
- Apply appropriate mathematical and scientific principles to Artificial Intelligence applications.
- Demonstrate proficiency in developing and applying machine learning principles and algorithms to solve problems in business applications.
- Apply knowledge and skills to develop, interpret, and apply natural language processing and computer vision algorithms.
- Demonstrate the ability to assist in research, development, design, production, testing and various other functions associated with Artificial Intelligence.
- Demonstrate a good understanding of Artificial Intelligence principles/concepts.
- Demonstrate a good understanding of mathematical and computer programming concepts.
- Demonstrate the ability to think through a problem in a logical manner.
- Organize and carry through to conclusion the solution to a problem.
- Demonstrate good communication skills.
- Demonstrate teamwork skills.
Degree Requirements
| Code | Title | Credits |
|---|---|---|
| Technology Studies General Education Core | ||
| ENG 1010 | Composition | 3 |
| MATH 1610 | Precalculus | 4 |
| ART Elective (course vetted for ARHX) | 3 | |
| CHEM 1110 | Concepts of Chemistry | 4 |
| or CHEM 1210 | General Chemistry I | |
| Elective HISX - Historical Knowledge Course or Elective SBSX course in ECON | 3 | |
| ENG 1080 | Composition II: Technical Writing | 3 |
| or COMM 1301 | Public Speaking | |
| CCS 1001 | College and Career Success | 3 |
| Technology Studies Program Core | ||
| PHYS 1201 | General Physics I | 4 |
| or PHYS 2201 | Calculus-Based Physics I | |
| Elective BHEL - Behavioral Science Elective - choose an ANTH, PSY or SOC course | 3 | |
| MATH 1200 | Statistics I | 3-4 |
| or MATH 1201 | Statistics I with Computer Applications | |
| Artificial Intelligence Courses | ||
| CSC 1203 | Python Fundamentals | 3 |
| DTS 2205 | Introduction to Artificial Intelligence | 3 |
| DTS 2220 | Introduction to Machine Learning | 3 |
| MATH 2500 | Calculus for Business and Social Science | 3-4 |
| or MATH 2600 | Calculus I | |
| DTS 2230 | Natural Language Processing | 3 |
| DTS 2240 | Artificial Intelligence for Computer Vision | 3 |
| DTS 2290 | Capstone Research | 3 |
| CIS, CSC, CST, or CYS Elective | 3 | |
| Specialization Elective | 3 | |
| Total Credits | 60-62 | |