MISY - 670 - Introduction to Generative AI

Zee Archive: 2024-2025 GRADUATE - New Course Proposal

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Course Information
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  • READ BEFORE YOU BEGIN

    • Before proposing a new course, it is suggested that the course be first taught as an experimental (course number x67) course. Developing and teaching an experimental course only requires the approval of a department’s curriculum committee. As an experimental course, the faculty member teaching the course can “work the bugs out”. Perhaps, after teaching it once or twice, the faculty member may revise the content, which could affect the course title or course description found in the catalog and in UDSIS. Teaching as an experimental course is not a university requirement, however it is strongly suggested as this can save catalog revisions later and improve the final course.  It is understood that there will be times that new course must be taught before it is offered in an experimental form.  In this case, the explanation for why the course needs to be created as a permanent course without having first been offered in an experimental version should be included in the form.  After having offered a course in its experimental form twice, it is recommended that the course should be proposed and be sent through the official course creation process.
    • All action on a crosslisted course must be taken by the course owner. If a course is adding a crosslisting, it MAY NOT be crosslisted with an existing course. Attach support letter(s) from the cross-listing department(s) by clicking the PAPERCLIP icon. Proposals that do not have a support letter from corresponding departments will not be crosslisted.

    INSTRUCTIONS

    1. Complete all sections of this proposal form. You will not be able to launch the proposal without completing required fields as indicated by an asterisk.
    2. To submit the proposal and send it to the next step, click "Validate and Launch Approval Process" at the top or bottom of the screen.

    For questions about this form, contact curriculog@udel.edu.


  • Department:*
  • Course Type:*
    Select the rubric/subject area of the course. This should match the Prefix below.
  • Prefix:*
    Code:*
    670
    670
  • Course Title:*
    Introduction to Generative AI
    Introduction to Generative AI
  • Justification of course creation:*

    Our curriculum does not currently contain a foundational course that teaches students about Generative AI and how to apply GenAI technologies to solve business problems.

    The integration of GenAI into various business processes has significantly transformed various industries via technologies such as automatic text generation, AI chatbots, and image/video generations.

    This course will open new career paths for students and prepare them for Generative AI adoption and applications in many modern companies. 

    Justify the need for this course.
  • Identify the main emphasis of the course along with major topics covered:*

    The main emphasis is on teaching students the key concepts and models behind Generative AI and how to apply GenAI technologies to solve business problems. The key topics include a historical overview of the GenAI, introduction to Large Language Models (LLMs) and Diffusion Models, prompt engineering for business, LLMs fine-tuning and AI Agents, and Responsible AI. This course also provides students hands-on projects to put GenAI technologies into practice.

  • Identify and justify any effect on other courses in your department or in another department:

    None

    Specifically list other departments chairpersons and/ or faculty consulted and summarize results of discussion.
  • Instructor reference:
    Enter the faculty name to whom questions may be directed.
  • Additional comments about this course:

    None

    These comments are for approver reference only and will not be stored in UDSIS.
Catalog Data
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  • SHORT TITLE: (UPPERCASE)*
    INTROTOGENERATIVEAI
    INTROTOGENERATIVEAI
    Please limit to 30 UPPERCASE characters.
  • Credit(s) for Catalog Display:*
    3
    3
    For variable credits hyphenate, ex: 1-6
  • Min Credits:*
    3
    3
    Max Credits:*
    3
    3
  • Can this be taken more than once per term?*
  • Can this be repeated for credit?*
  • Total Allowed Credits (see help text):*
    3
    3
    Total Allowed Credits is the number of credits a student can take and count towards graduation. Must be a multiple of the credit (or the Min of a variable credit course). Example: Three credit course can be repeated once for credit; Total Allowed Credits = 6. Example: Three credit course cannot be repeated for credit Max Repeatable Credits = 3.
  • Grading Basis:*
    Student Option defaults to Standard Grading. Student Option is the mechanism that allows for P/F, auditing and listening.

  • Instructional Format

    Select the Primary Instructional Format for the course.  For an explanation of the format options, click here.

    If Lecture is a component, it must be the primary.​​​​​​​

  • Instructional Format:*

  • Contact Hours & Additional Components

    To add a secondary Instructional format, add contact hours to another component. Courses typically do not have more than two formats.

  • Clinical contact hours:
    Discussion contact hours:
  • Field Studies contact hours:
    Independent Study contact hours:
  • Internship contact hours:
    Laboratory contact hours:
  • Lecture contact hours
    3
    3
    Practicum contact hours:
  • Research contact hours
    Studio contact hours:
  • Course Typically Offered:*
  • Description (please limit to 50-75 words):*

    This course will focus on teaching students how GenAI can be integrated into various business processes with examples across various industries. Course will demonstrate and teach the use of transformational technologies such as automatic text generation, AI chatbots, and image/video generations.

  • Crosslisting (only complete if applicable):
    Two pre-existing courses may not be cross-listed with each other. Please email curriculog@udel.edu for questions about course number availability for cross-listing purposes.

  • Requisites & Restrictions

    Only specific UD courses can be coded as requisites in UDSIS and enforced for enrollment purposes.  Non-course restrictions will be included in course descriptions but are not system-enforced.

    Contact grading-registration@udel.edu with questions about requisites and restrictions.

    Prerequisites

    These are course(s) or conditions that must be met before a student can register. In this context, “conditions” refer to non-course requirements such as a minimum score on the Math placement exam.

    Examples: 

    • FREN 211 and one 300-level French class.
    • Grade of C- or better in MMSC 428
    • NTDT 400 or NTDT611
  • Prerequisite(s) (only complete if applicable):

  • Corequisites

    These are courses that must be enrolled concurrently or may be satisfied by previously earned credit.

    Examples:

    • MATH 117 or MATH 231 or MATH 241
    • NURS 358 and NURS 359
  • Corequisite(s) (only complete if applicable):
    A corequisite operates as a prerequisite if a student has already earned credit in the course.

  • Antirequisites

    When a department offers different courses that have similar content, they can prevent students from registering in a course if they have earned credit in a similar course

    Examples:

    • Students who have received credit in ECON 101 or ECON 103 are not eligible to take this course without permission.
    • Students who have received credit in CISC465, CPEG465, ELEG465, MISY465, CISC 665, CPEG665, or MISY665 are not eligible to take this course without permission
  • Antirequisite(s) (only complete if applicable):

  • Restrictions

    Restrictions are used to convey information that students should be aware of prior to enrolling in the course.  These are included in the course description but are not enforceable as specific enrollment restrictions in UDSIS.

    Examples:

    • Knowledge of probability and statistics recommended.
    • Laboratory requires some out of class time for hands-on experience

    Please note:

    No requisite information (minimum grades, completion of specific courses, etc.) should be included as restrictions. That information should be in the appropriate requisite section above.

    Enrollment restrictions that are not based on specific courses may be enforced on individual class sections as Reserve Capacities.

    Contact grading-registration@udel.edu with questions about requisites and restrictions

  • Restriction(s) (only complete if applicable):
Routing
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  • Which College Approval Routing needs to be utilized?*
    Select the proper College or Program in order to ensure proposal is on the correct track. Ignore any symbols, they are used on the back end of the form so the number of routing questions could be limited.
  • Departmental Committee Routing*
    If your department is not listed, select 'Other'.
Attachments
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  • Attachments can be added using the paperclip icon to the right.

    1. Provide a syllabus/precise description of content.
    2. Provide support letter(s) from any cross-listing department(s).

    Supporting documentation, e.g., letters of support, syllabi, etc., does not constitute the "approved" language that will be imported into the Catalog.

  • Attached: Documentation*
Administrative Fields (DO NOT EDIT)
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  • User Tracking

    Help: Show Original: This option displays the proposal as it appeared at launch. No markup will be visible on the form. There will be no differentiation between fields that contain imported content and content that was created or selected by the originator by hand.

    Help: Show Current: This option displays the proposal as it appears currently. No markup will be visible on the form. There will be no differentiation between fields that contain imported content and content that was created or selected by the originator by hand.

    Help: Show Current with Markup: This option displays the proposal with all of its current content marked to show different editors. Text fields that include imported content are indicated by a blue highlight, and may also include additional changes within, indicated by each editor’s unique color. Fields containing selects, checkboxes, radio buttons, or widgets (such as the curriculum) provide an activity log above the field, indicating each editor’s selection and unique color.

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