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WMUx is Your Resource for Artificial Intelligence (AI) Information

WMUx is Your Resource for AI Information

WMUx, in partnership with a number of Western Michigan University experts, can help you learn more about recent developments in Generative Artificial Intelligence (AI) that are impacting how we teach and research in higher education.

Just beginning to learn about AI? Consult our Quick Start AI Guide that provides an overview, information on prompting, citation, ethics, and syllabus statements.

Get Started

Concerned about academic integrity? Instructors are encouraged to remind learners of the institution’s policies on academic honesty and to direct their questions about the process that WMU has in place to resolve issues of academic honesty to the Office of Student Rights and Responsibilities. For information on communicating your AI policies or working with your students to develop a policy, you can consult this resource: Establishing AI Policies for Your Classroom.

Factoring AI as you prepare for teaching, research, or creative activity? Consult our Teaching with AI articles, resources, events, and discussion groups or contact us for a one-on-one consultation.

Interested in understanding what courses will be offered to students related to AI? Check out our Spotlight section to see a list of the planned courses for the upcoming semester.

Teaching with AI

When considering the many new and ever-changing AI tools, their ubiquitous and exponential nature can make it difficult to know where to start and how they might be best used in the classroom. One way to approach Large Language Model (LLM) AIs like ChatGPT and Claude 2 is to think of them as assistants or thought partners. Explore articles on teaching with AI.


Upcoming Events

WMUx hosts several AI @ WMU workshops and speaker events. For full event descriptions, visit our WMUx Events page for details.


Recently Featured Events

  • Advanced Uses of AI in Foundational Courses, recording and event landing page. (Jan 30)
  • Mentoring Graduate Student Writing in the Era of Generative AI recording and landing page. (Mar 12)
  • Looking Through a Policy Window with Tinted Glasses: Agenda-Setting Dynamics in U.S. AI Policy. (Apr 11)

Past Events

Did you miss an AI @ WMU event? No problem! Access all session materials and event recordings in our WMUx event archive.


Further Reading

WMUx has curated a list of resources on Generative AI that will be updated weekly. We invite you to explore our resource list to learn more. 

AI @ WMU Resource List

Discussion Groups

WMU faculty, part-time instructors, staff, and graduate instructors are invited to get involved in two discussion groups that will be sponsored by WMUx in Fall 2023: an AI Ethics & Bias Discussion Group that is open to all categories, and an AI Teaching Discussion Group open to instructors who are using AI in their courses.

AI Ethics & Bias        AI Teaching

Spotlight on AI @ WMU

In Spring 2024, many Western Michigan University departments will offer courses that focus on various aspects of Artificial Intelligence. For more information, consult the instructors listed with each offering.

College of Arts and Sciences

  • ENGL 2980: AI Promoting for Real-World Applications

    3 credit hours, in person
    MW 12:30 to 1:45 p.m., CRN 15782
    Dr. Brian Gogan

     AI Prompting for Real-World Applications

    Generative AI platforms are changing how humans write and what humans write. These AI platforms assist us as we draft documents, graphics, and code. We need to know how best to construct inputs, called “prompts,” so that we can get good outputs from these Generative AI tools. Regardless of your major, this class helps you apply prompting strategies to real-world contexts that matter to you, your passions, and your career. Think of this class like a maker’s lab: Your assignments will be exploratory and experimental.

  • PHIL 3140: Ethical/Social Issues with AI

    3 credit hours, in person and online
    TR 9:30 to 10:45 a.m., CRN 15417, in person (Sec 1)
    Asynchronous online, CRN 15416 (Sec 2)
    Professor David Paul (Sec 1), Professor Jonathan Milgrim (Sec 2)

    Advances in artificial intelligence represent some of the most transformative technological innovations of our time. In this course, students will explore the evolution of AI and its expanding capabilities in areas like language processing, computer vision, robotics, and more. The course provides an accessible introduction to core AI concepts while focusing on real-world implications and ethical considerations. Students will examine existing and emerging uses of AI in fields like business, politics, medicine, education, and the arts. Case studies will illustrate how AI can be used for benefit or harm, highlighting concerns around bias, automation, disinformation and other risks. This course will equip students to critically analyze and engage in informed debates about managing one of the most consequential technologies of our era.

  • COM 3050: Introduction to User Experience (UX)

    3 credit hours, online
    Asynchronous online, CRN 14496
    Dr. Autumn Edwards

    A foundational course that not only introduces students to the core principles and practices of User Experience (UX), but also highlights the growing influence of Artificial Intelligence (AI) in shaping modern user experiences across diverse domains. This course invites students to explore the dynamic and evolving landscape of user experiences, from the virtual realms of gaming and immersive realities to the ever-connected world of social media and the exciting frontiers of human-robot interaction and human-machine communication, all while considering the impact of AI. This course empowers students to explore the science of user experience, embracing a human-centered and ethical approach to design and evaluation. Additionally, students will explore how our technologies, tools, and products both shape and are shaped by human behavior and needs, creating a dynamic and symbiotic relationship that is fundamental to contemporary UX design and development.

  • COM 3710: Human-Machine Communication

    3 credit hours, in person
    TR 12:30 to 1:45 p.m., CRN 13481
    Dr. Autumn Edwards

    An introduction to human-machine communication, this course focuses on the theory and practice of interpersonal interactions with digital interlocutors in the form of artificial conversation entities, artificially intelligent (AI) software agents (chatbots), embodied machine communicators (robots), and technologically augmented persons, as well as interpersonal communication in the context of virtual and augmented spaces. Through experiential learning opportunities and assignments, students are encouraged to (1) increase their awareness of the personal, relational, and social implications of communication between humans and machines, in historical, present-day, and anticipatory contexts, and (2) further develop competencies in communicating with and about machine partners.

  • COM 4710: AI and Interaction

    3 credit hours, in person
    MW 3:30 to 4:45 p.m., CRN 14365
    Dr. Chad Edwards

    This course focuses on Artificial Intelligence (AI) and interaction in society from a theoretical and application standpoint. Students will learn critical AI questions, issues, and debates that influence the development and deployment of AI. The basics of building an AI interaction system and the best practices will be discussed.

  • COM 6700: AI and Social Media

    3 credit hours, hybrid
    M 6 to 8:30 p.m., in person (1/8, 1/15, 4/15) and online, CRN 15537
    Dr. Chad Edwards

    In the era of rapid technological advancements, the influence of artificial intelligence (AI) on social media communication has become more pronounced than ever. This graduate-level course, "AI and Social Media Communication," explores the intersection of AI technologies and their impact on how individuals, businesses, and society engage, connect, and communicate digitally. Students will delve into the theoretical foundations and practical applications of AI in the context of social media platforms, gaining a comprehensive understanding.

Additionally, the School of Communication within the College of Arts and Sciences offers a minor in User Experience/Human-Computer Interaction (UX/HCI). Learn more.




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Haworth College of Business

  • CIS 3640: Visual Analytics

    3 hours, in person
    Section 1: MW 9:30 to 10:45 a.m., CRN 12068
    Section 2: TR 2 to 3:15 p.m., CRN 12462
    Dr. Muhammad Razi

    This course is designed to give students with foundational analytics experience comprehensive skills and in-depth knowledge in analytical problem solving through business examples with particular focus on visualizing analyses. Students will learn visual representation techniques to transform data into insights. Tools, techniques, and theories within the realm of business intelligence and data visualization will be explored, utilizing both productivity and specialized software.

  • CIS 4640: Business Data Mining

    3 credit hours, in person
    Section 1: MW 5 to 6:15 p.m., CRN 12463
    Section 2: MW 3:30 to 4:45 p.m., CRN 11975
    Dr. KC Chen

    This course focuses on the theoretical understanding and practical applications of data mining as a decision support tool. Specifically, it covers several types of modeling techniques and tools such as prediction, classification, segmentation and association detection algorithms. Students are introduced to the state-of-the-art data mining applications software such as SAS Enterprise Miner or SPSS Clementine for their class assignments and term project.

  • CIS 5550: Artificial Intelligence in Business

    3 credit hours, in person
    R 6:30 to 9 p.m., CRN 15630
    Dr. KC Chen

    This course is designed to introduce students to various forms of AI used to address business problems. Natural language processing (NLP), machine learning, generative AI, fraud detection, topic modeling, predictive maintenance, human-AI symbiosis, formal AI tests, user generated contents (e.g., product reviews) / electronic word-of-mouth (eWOM), societal impacts and many other topics will be covered. Students will also learn to analyze structured/unstructured data, big data, and specific forms of data (small and wide data). There will be readings, theoretical introductions, and hands-on exercises using existing software packages.

  • CIS 6500: Visual Analytics

    3 credit hours, online (partially synchronous)
    F 6 to 9 p.m., CRN 14549
    Dr. Reza Mousavi

    This course introduces data visualization, exploratory data analysis, and visualization theories. Students will learn visualization techniques to analyze real-time and/or off-line data, create high-impact visualizations, and build interactive dashboards to uncover critical business insights. Students will also learn to design data stories with effective visuals to communicate analytics findings to the intended audiences.

  • MKTG 5980: ReGenerative AI for Marketing

    Tuesdays at 7 p.m., CRN 15357
    Sunny Yurasek (guest lecturer)

    ReGenerative AI for Marketing

    This course explores the transformative landscape of Artificial Intelligence (AI) in the realm of marketing, specifically in the Food and Beverage industry. Students will delve into the core concepts of AI, including Machine Learning, Deep Learning, Generative AI, and the groundbreaking field of Regenerative AI. Guest lecturer and data scientist, Sunny Yurasek, will guide students through a comprehensive exploration of common AI modeling techniques specific to the Food and Beverage industry, demonstrating how these technologies can accelerate and differentiate organizations within this sector. The course will also cover essential AI data fundamentals, exposing students to the tools to master assortment modeling in the context of marketing. Students will examine the positive and negative impacts of AI on marketing strategies and will discuss the topics of ethical AI and customer privacy in order to develop a well-rounded perspective on the responsible application of these technologies in marketing.