Nov 23, 2024  
2023-2024 Undergraduate Catalog 
    
2023-2024 Undergraduate Catalog [ARCHIVED CATALOG]

Artificial Intelligence, B.S.


Return to {$returnto_text} Return to: Departments and Programs

Department Website

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. To earn a Bachelor of Science degree in AI students must complete a minimum of 128 credits and meet the following requirements:

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.

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

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


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: Foundation, Exploration, Integration, Writing, U.S. Diversity, and Capstone. For details, refer to the General Education section of the catalog. In order to satisfy both general education and other program requirements, in some of the general education areas students should select from the courses listed below.

Foundations

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

Explorations: One course from each of the seven Explorations areas

  • Arts
  • Language and Culture
  • Global Perspective
  • Literature
  • Natural Science and Technology (Satisfied by an approved science elective with lab; see Mathematics and Sciences)
  • Social Science
  • Western Civilization (Satisfied by PHL 1310 ; see additional major requirements)

Integration:

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

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

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

Depth areas/ Professional track (12 credits)


Select one of the following professional tracks:

E) Augmented/Virtual Reality Track


Professional Electives (6 credits)


Complete 2 credits of the following 2000 level courses:

And: 4 credits from one of these options (A-C):

A) Any class in one of the depth areas not chosen as a primary specialty.
B) Courses at the 5000 level, with instructor approval.
C) Any 3000 or 4000 level class in Engineering, Computer Science, or Mathematics not currently part of the AI curriculum.

 Below are some suggested classes: 

Major Standing


To enroll in 3000- or higher-level courses and to become candidates for the degree of Bachelor of Science in Artificial Intelligence, students must gain a major standing. An application for major standing should be submitted prior to intended enrollment in 3000- or higher-level courses. Forms may be obtained from the SECS Undergraduate Advising Office or from the SECS website.
To gain major standing in Artificial Intelligence, students must:
A) have an average GPA of 2.0 in the following mathematics and science courses: MTH 1554 , MTH 1555 , MTH 2775 , APM 2663 , and STA 2226 .
B) have an average GPA of 2.0 in the following AI core courses:CSI 1420 - Introduction to C Programming and Unix  (4) OR CSI 1320 - Introduction to Python Programming and Unix  (4); CSI 2300 - Object-Oriented Computing  (4); CSI 2310 - Data Structures  (4); CSI 2490 - Introduction to Artificial Intelligence: Representation, Concepts and Problem Solving  (4); CSI 2999 - Sophomore Project  (2)
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. Students may petition to repeat a course a fourth time.
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 requirements 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 sciences, AI core, and professional courses (including required professional subjects, professional electives, and professional track). Within professional courses at most two grades below C are permitted, at most two different courses may be repeated, and a total of three attempts per course is permitted.

Sample AI 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
CSI 1420 - Introduction to C Programming and Unix  (4)
MTH 1554 - Calculus I  (4)
General education (4)
General education (4)

Winter semester – 16 credits
CSI 2300 - Object-Oriented Computing  (4)
MTH 1555 - Calculus II  (4)
Approved science elective with lab (4)
General education (4)


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

Winter semester – 14 credits
CSI 3370 - Software Engineering and Practice  (4)
CSI 2999 - Sophomore Project  (2)
CSI 3610 - Design and Analysis of Algorithms  (4)
General education (4)


Junior year
Fall semester – 16 credits
CSI 3430 - Theory of Computation  (4)
CSI 4130 - Artificial Intelligence  (4)
CSI 4810 - Information Retrieval and Knowledge Discovery  (4)
Math elective (4)

Winter semester – 16 credits
CSI 4140 - Deep Learning and Applications  (4)
CSI 4160 - Integrated Computing Systems  (4)
CSI 4170 - Machine Learning  (4)
CSI 4240 - Cloud Computing  (4)


Senior year
Fall semester – 18 credits
CSI 4180 - Natural Language Processing  (4)
CSI 4150 - AI for IT Operations  (4)
Professional track (4)
Professional elective (2)
Professional elective (4)

Winter semester – 12 credits
CSI 4160 - Integrated Computing Systems  (4)
CSI 4230 - Mobile and Smart Phone Application Development  (4)
CSI 4999 - Senior Capstone Project  (4)

Return to {$returnto_text} Return to: Departments and Programs