Oct 03, 2024  
2024-2025 Undergraduate Catalog 
    
2024-2025 Undergraduate Catalog

Artificial Intelligence, B.S.


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The Bachelor of Artificial Intelligence degree provides students the opportunity to gain cutting-edge AI knowledge and skills with a solid theoretical foundation as well as a good understanding of different application areas. This bachelor program prepares students for a productive career in industry, lifelong learning, and for graduate study in AI. The BS in AI is strategically designed to build on the strengths of existing computing programs on campus and produce well-rounded students with a balance between strong theoretical foundations as well as practical and hands-on technical skills. The program also includes a strong professional component for the development of skills in technical communication, ethics, and teamwork. The program was designed to satisfy the local and national industry needs and student learning perspectives.

Specific offerings for each semester may be found in the Schedule of Classes.

Program educational objectives

  • Understand representations, algorithms and techniques used across works in Artificial Intelligence and be able to apply and evaluate them in applications as well as develop their own.
  • Understand and apply machine-learning techniques, in particular to draw inferences from data and help automate the development of AI systems and components.
  • Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether it is to improve overall integrated system performance, improve AI performance or influence human performance and learning.
  • Understand the ethical concerns in developing responsible AI technologies.
  • Implement AI systems, model human behavior, and evaluate their performance.

Requirements for the major in Artificial Intelligence, B.S.


To earn the Bachelor of Science degree with a major in artificial intelligence students must complete a minimum of 128 credits and meet the following requirements:

General Education requirements


In order to graduate on-schedule without taking additional courses, it is highly recommended that students meet with an Undergraduate Academic Adviser concerning the selection of all of their general education courses.

Each candidate for an Oakland University baccalaureate will need to satisfactorily complete approved courses in each of the following areas: Foundations, Explorations, and Integration. For details, refer to the General Education Requirements section of the catalog.

Foundation

  • Writing Foundations (WRT 1060)
  • Formal Reasoning (Satisfied by MTH 1554; see Mathematics and Statistics)

Explorations

One course from each of the seven Explorations areas Arts

  • Language and Culture
  • Global Perspective
  • Literature
  • Natural Science and Technology
  • Social Science
  • Western Civilization (Satisfied by PHL 1310; see additional major requirements)

Integration

  • Knowledge Applications (Satisfied by MTH 1555; see Mathematics and Statistics)

U.S. Diversity

  • May be met by an approved course in the Explorations area.

Writing Intensive and Capstone

  • Capstone (Satisfied by CSI 4999; see Required professional subjects)
  • Writing Intensive in the Major (Satisfied by CSI 4999; see Required professional subjects)
  • Writing Intensive in General Education (may be met by an approved course in the Explorations area)

Additional Major Requirements

All students must complete the following requirement.

  • Professional Ethics: PHL 1310 - Introduction to Ethics in Science and Engineering

Professional track


Artificial Intelligence students must complete three professional track courses from the following areas and can choose courses from multiple tracks to customize their education. Those interested in gaining expertise in a specific area should select courses accordingly.

Augmented/Virtual Reality Track


Professional Electives


Students must complete a minimum of 6 additional credits in professional electives. Professional elective courses can be chosen from 3000-level or higher courses in CSI, BE, ECE, ISE, ME, APM, MOR, MTH, STA, BIO, CHM, or PHY, or from the approved courses listed below. No more than 2 credits of CSI 4950 (Internship) can be used to fulfill the professional electives requirement. Additionally, courses at the 5000-level require approval from the instructor.

Approved professional electives courses:

Major Standing


To enroll in 3000- or higher level courses and to become candidates for the degree of Bachelor of Science with a major in Artificial Intelligence, students must gain major standing. An application for major standing should be submitted prior to intended enrollment in 3000- or higher level courses. Students can obtain the major standing form from the SECS Undergraduate Advising Website. When the application for major standing is approved, students with majors of Pre-Artificial Intelligence will have their major changed to Artificial Intelligence. Approval of both a major standing application and change of major to Artificial Intelligence is required prior to enrolling in any 3000- or higher-level courses.

To gain major standing in Artificial Intelligence, students must:

A) have an average GPA of 2.0 in the following mathematics and statistics courses: MTH 1554 , MTH 1555 , APM 2663 , and STA 2226 .

B) have an average GPA of 2.0 in the following AI core courses: CSI 1420  or CSI 1320 , CSI 2300 , CSI 2310 , CSI 2490 , and CSI 2999 .

C) have no more than two grades below C in the courses listed in A and B above.

D) have not attempted any course listed in A and B above more than three times; and

E) have not repeated more than three different courses listed in A and B. Courses in which a W (withdrawal) grade is recorded will not be counted.

Conditional major standing may be granted in the semester in which the student will complete the courses listed in A and B above.

Performance requirements


Satisfactory completion of the program requires an average grade of at least 2.0 within each group: mathematics and statistics, artificial intelligence core, and professional courses (including required professional subjects, professional electives, and professional track). Within the professional courses at most two different courses may be repeated, a total of three attempts per course is permitted, and at most two grades below C are permitted. A grade of C or better in CSI 4999 (Senior Capstone Project) must be received.

Sample artificial intelligence schedule


Students entering the School of Engineering and Computer Science with the required background may follow a schedule such as the one indicated below. However, students will need additional time to complete the program if they do not have the required background upon entrance to the program.

Freshman year
Fall semester – 16 credits
MTH 1554  -  Calculus I (4)  
CSI 1320  -  Introduction to Python Programming and Unix (4)  or CSI 1420  -  Introduction to C Programming and Unix (4)  
General education (4)
General education (4)

Winter semester – 16 credits
MTH 1555  -  Calculus II (4)  
CSI 2300  -  Object-Oriented Computing (4)  
STA 2226  -  Applied Probability and Statistics (4)  
General education (4)

Sophomore year
Fall semester – 16 credits
APM 2663  -  Discrete Mathematics (4)  
CSI 2310  -  Data Structures (4)  
CSI 2490  -  Introduction to Artificial Intelligence: Representation, Concepts and Problem Solving (4)  
General education (4)

Winter semester – 18 credits
MTH 2775  -  Linear Algebra (4)  
CSI 2999  -  Sophomore Project (2)  
General education (4)
General education (4)
General education (4)

Junior year
Fall semester – 16 credits
CSI 3370  -  Software Engineering and Practice (4)  
CSI 3610  -  Design and Analysis of Algorithms (4)  
CSI 4100  -  Ethics and Bias in AI (4)  
General education (4)

Winter semester – 16 credits
CSI 4130  -  Artificial Intelligence (4)  
CSI 4140  -  Deep Learning and Applications (4)  
CSI 4150  -  AI for IT Operations (4)  
Professional track (4)

Senior year
Fall semester – 16 credits
CSI 4170  -  Machine Learning (4)  
CSI 4180  -  Natural Language Processing (4)  
Professional elective (4)
Professional track (4)

Winter semester – 14 credits
CSI 4810  -  Information Retrieval and Knowledge Discovery (4)  
CSI 4999  -  Senior Capstone Project (4)  
Professional elective (2)
Professional track (4)

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