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Introduction to AI 10156121

  • 1.00 credits
  • IT - Data

    • Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    10/01/2025
    		Online Required Due Dates Online
    Aug 25 – Oct 1
    -
    Online
    Joshua Stutting
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    Ethics and Implications of AI 10156123

  • 1.00 credits
  • IT - Data

    • Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    11/10/2025 –
    12/17/2025
    		Online Required Due Dates Online
    Nov 10 – Dec 17
    -
    Online
    Joshua Stutting
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    Simulation And Ai 10664117

  • 1.00 credits
  • Automation Systems Technology

    • Explores the Artificial Intelligence available in the world today and discusses how it has helped. We will look at modern A.I. (cell phones, televisions, internet companies, automotive applications and others) to see how it is already a part of everyday life. Autonomous robots will be controlled and reviewed to discover their capabilities. We will then utilize Oculus technology to review training options (fire extinguisher training, Lockout/tagout training). Microsoft Halolens units will be used to create mixed reality scenarios for class work and possible workplace training integration. 3D modeling will be used to develop simulations that will allow students to experience work that might not be conducive to our lab or too dangerous for us to do in the lab setting.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    09/22/2025 –
    10/15/2025
    		In-Person Wausau Main Campus
    Sep 22 – Oct 15
    Monday, Wednesday
    12:00 PM - 02:50 PM
    Wausau Main Campus
    Bryan Schroder
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    Business Applications of AI 10156122

  • 1.00 credits
  • IT - Data

    • Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    10/06/2025 –
    11/05/2025
    		Online Required Due Dates Online
    Oct 6 – Nov 5
    -
    Online
    Joshua Stutting
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    Industry 4.0 Fundamentals 10664112

  • 1.00 credits
  • Automation Systems Technology

    • Introduces the concepts of Industry 4.0 and the key aspects that workers will need to be prepared for in the intelligent factory setting. Robotic automation, smart manufacturing, and Artificial Intelligence (AI) concepts will be explored.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #02 Fall
    Open
    08/26/2025 –
    09/18/2025
    		In-Person Wausau Main Campus
    Aug 26 – Sep 18
    Thursday, Tuesday
    01:00 PM - 03:50 PM
    H146A - Mechatronics Project Lab - H Building
    Benjamin Knospe
    Aug 26 – Sep 18
    Thursday, Tuesday
    01:00 PM - 03:50 PM
    I112 - Classroom - I Building
    Benjamin Knospe
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    Essential Skills For The Business Professional 10196164

  • 3.00 credits
  • Supervision & Leadership Dev

    • Explores skills that are essential for business professionals to succeed in a variety of organizational environments. Learners develop skills related to time management, goal setting, delegation, stress management, assertive communication, emotional intelligence, and training and development.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    John Burgess
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    Revit Residential For Architectural Design 10614127

  • 2.00 credits
  • Architectural Technology

    • Introduces the learner to Building Information Modeling (BIM) by using the latest version of Autodesk's Revit. Revit is a computer modeling program that allows for intelligent, 3D and parametric object-based design. Learners explore the program by the use of tutorials and exercises that start at an introductory level proceeding throughout the semester to create a complete set of residential construction documents.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01AYW Fall
    Open
    08/27/2025 –
    12/17/2025
    		Attend Your Way Online Available Wausau Main Campus
    Aug 27 – Dec 17
    Wednesday
    02:00 PM - 04:50 PM
    F212 - Classroom/Computer Lab - F Building
    Travis Severson
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    Foundations of Data Engineering 10156124

  • 3.00 credits
  • IT - Data

    • Provides a comprehensive introduction to data engineering principles and foundational cloud computing for data. Students will learn to build and maintain scalable data pipelines, process and store large datasets, and implement cloud-based solutions for secure and efficient data management. With a focus on real-world applications, this course explores data ingestion, transformation, and storage strategies using AWS tools. By combining essential cloud computing skills with data engineering techniques, students will develop the expertise needed to support analytics, machine learning, and business intelligence workflows across diverse environments.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    12/17/2025
    		Online Required Due Dates Online
    Aug 25 – Dec 17
    -
    Online
    J.J. Minarcin
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