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Program checklist · What is Artificial Intelligence Methods and Applications?

What is Artificial Intelligence Methods and Applications?

Pennsylvania State University-Penn State Schuylkill · Schuylkill Haven, PA

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
What is Artificial Intelligence Methods and Applications?
Credits (computed from items)
67
Catalog edition
2026
Checklist type
degree-program
Identifiers
IPEDS UNITID
214810
CourseShelf checklist
CK_214810_940d4b9c
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Requirements for the Major

major core · 0 items

    Prescribed Courses

    0 items

      Prescribed Courses: Require a grade of C or better

      9 items
      1. A-I 100
        Artificial Intelligence: Automated Thinking to Augment Human Intellect
        Not resolved to a course
        3
      2. A-I 341W
        Responsible Artificial Intelligence
        Not resolved to a course
        3
      3. A-I 370
        Problem Formulation and Automated Problem Solving
        Not resolved to a course
        3
      4. A-I 375
        Knowledge Representation and Inference
        Not resolved to a course
        3
      5. CMPSC 131
        Programming and Computation I: Fundamentals
        Not resolved to a course
        3
      6. CMPSC 132
        Programming and Computation II: Data Structures
        Not resolved to a course
        3
      7. MATH 140
        Calculus With Analytic Geometry I
        Not resolved to a course
        4
      8. MATH 225
        Mathematical Foundations for Machine Learning
        Not resolved to a course
        4
      9. STAT 401
        Experimental Methods
        Not resolved to a course
        3

      Additional Courses

      0 items

        Additional Courses: Require a grade of C or better

        14 items
        1. Any First-Year Seminar
          Not resolved to a course
          1
        2. CMPSC 360
          Discrete Mathematics for Computer Science
          Not resolved to a course
          or: MATH 311W Concepts of Discrete Mathematics
          3
        3. DS 200
          Introduction to Data Sciences
          Not resolved to a course
          or: STAT 200 Elementary Statistics
          4
        4. Select 3 credits from the following:
          Not resolved to a course
          3
        5. CMPSC 462
          Data Structures
          Not resolved to a course
        6. CMPSC 465
          Data Structures and Algorithms
          Not resolved to a course
        7. DS 305
          Algorithmic Methods and Tools
          Not resolved to a course
        8. Select 3 credits from the following:
          Not resolved to a course
          3
        9. CMPSC 445
          Applied Machine Learning in Data Science
          Not resolved to a course
        10. CMPSC 448
          Machine Learning and Algorithmic AI
          Not resolved to a course
        11. DS 310
          Machine Learning for Data Analytics
          Not resolved to a course
        12. Select 6 credits from the following:
          Not resolved to a course
          6
        13. AIMA 430& AIMA 440
          AI Capstone I: Project Designand AI Capstone II: Project Implementation
          Not resolved to a course
        14. A-I 494
          Research Project
          Not resolved to a course

        Supporting Courses and Related Areas

        0 items

          Supporting Courses and Related Areas: Require a grade of C or better

          2 items
          1. Select 9 credits from the Technical Supporting Course list. At least 3 credits must be at the 400-level.
            Not resolved to a course
            9
          2. Select 9 credits from the Application Supporting Course list. At least 3 credits must be at the 300- or 400-level. Up to 6 credits of ROTC.
            Not resolved to a course
            9
          Source. Pennsylvania State University-Penn State Schuylkill, catalog 2026 — https://bulletins.psu.edu/undergraduate/colleges/information-sciences-technology/artificial-intelligence-methods-applications-bs/. Captured page pages/0797.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.