Using Artificial Intelligence at Iowa State

Firefly generated graphic representing AI.

AI Tools

  • Microsoft Copilot

    For: Students, faculty and staff

    Safety: Security-approved

  • Google Gemini

    For: Students, faculty and staff

    Safety: Avoid uploading confidential information

  • NotebookLM

    For: Students, faculty and staff

    Safety: Avoid uploading confidential information

  • Adobe Firefly

    For: Faculty and staff

    Safety: Avoid uploading confidential information

  • Box AI

    For: Students, faculty and staff

    Safety: Must be logged in to Cybox to use

  • Grammarly

    For: Students, faculty and staff

    Safety: Must be logged in to Grammarly to use

  • Microsoft Copilot 365

    For: Faculty and staff

    Safety: Security-approved

Compare AI tools

FeatureMicrosoft
Copilot web
Microsoft
Copilot 365
Google
Gemini
Google
NotebookLM
Adobe
Firefly
BoxAIGrammarly
Stand-alone toolyesnoyesyesyesnono
Exists within an appnoyesnononoyesyes
Can search the internet yesyesyesnononono
Interacts with uploaded filesyesyesyesyesyesyesyes
Generates imagesyesyesnonoyesnono
Drafts written contentyesyesyesyesnoyesyes
Provides citation for AI usenonononononoyes
IT-approved for sensitive datayesyesnonononono

Academics: Teaching and Instruction

Center for Learning and Excellence in Teaching

This course for instructors explores the fundamental principles behind machine and human learning, what generative AI’s capabilities are, and how can they impact teaching and learning.

The webpage sections for Syllabus Statements and Artificial Intelligence address AI topics and guidance for instructors.

Academics: Courses and programs

Broad introduction to AI, focusing on its applications and impact across different fields and industries. Provides an overview of AI concepts, terminology, and real-world examples, allowing students to understand how AI is transforming various domains. Basic introduction of societal implications, ethical considerations, and potential challenges associated with AI. Opportunities to collaborate and use AI to address real-world challenges. 

Course catalog description

Real-world examples of ethical challenges posed by artificial intelligence (AI) technologies. How artificial intelligence affects users, the public, and society, domestically and globally. Responsibilities of AI designers, as well as public and private institutions, to those affected. Course is open to students from any major.

Course catalog description

Basic principles, techniques, and applications of artificial intelligence. Specification, design, implementation, and applications of intelligent agents. Computational models of intelligent behavior, including problem solving, knowledge representation and reasoning, planning, decision making, learning, perception, and communication. Artificial intelligence programming. Term project and written report for graduate credit. 

Course catalog description

Risk assessment and mitigation mechanisms of various stages of machine learning/data science lifecycles with the emphasis on the early stages: study design, data acquisition, exploratory data analysis, feature engineering, modeling and training, and model evaluation. Case studies of machine learning/data science lifecycles used in application domains along with methods for risk assessment and mitigation. DS 2020 recommended.

Course catalog description

Selected topics in probabilistic graphical models, causal inference, semantic web, information retrieval, natural language processing, knowledge representation and reasoning, deep learning, embedding, distributed learning, incremental learning, multi-task learning, multi-strategy learning, multi-relational learning, modeling the internet and the web, automated scientific discovery, neural and cognitive modeling. Advanced applications of artificial intelligence in bioinformatics, distributed systems, natural language, multimedia data, decision making, robotics, and more. 

Course catalog description

Structured query language (SQL), power BI/Tableau BI, R/Python, machine learning, and artificial intelligence (AI) to analyze exercise and health data. Data analytics applications and health systems, data mining and visualization, predictive modeling for health outcomes.

Course catalog description

Introduction to artificial intelligence (AI) and writing. Students will learn how to find and use AI technologies such as ChatGPT to write for specific purposes, genres, and media; create effective AI prompts and search for accurate information; and navigate the ethical issues of integrating AI-generated and processed content into authored works.

Course catalog description

This course covers advanced artificial intelligence tools and methodologies to design compelling stories about the solutions they have created in other classes/studios aimed at specific audiences to create an effective narrative. The course will utilize digital/social platforms to not only analyze the current trends but also create content.

Course catalog description

Applied Artificial Intelligence (undergraduate)

Artificial Intelligence (graduate)

Artificial Intelligence, M.S.

Student Code of Conduct

The Office of Student Conduct provides "Know the Code" resources for students, faculty and staff.