Learning Objectives by Chapter
- Page ID
- 67077
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)The objectives below are drawn from the MBU AI Fundamentals course plan's Weekly Learning Objectives for the corresponding week, and are reproduced here (adapted from CompTIA AI Fundamentals V1) as a study guide for each chapter.
Chapter 1: What is Artificial Intelligence?
- Identify how AI is used in everyday tools and workplaces.
- Define artificial intelligence, machine learning, and generative AI, and explain how the three relate.
- Distinguish generative AI from traditional software and web search.
- Identify major AI tools and models and match them to appropriate academic, personal, and workplace tasks.
- Classify common tasks as good or poor candidates for AI support.
- Distinguish lower-risk from higher-risk ways of using AI.
- Recognize how AI is changing work across industries and how roles, skills, and tasks are shifting.
Chapter 2: The Art of the Prompt
- Identify the components of an effective prompt.
- Construct role–task–context–format (RTCF) prompts for a range of tasks.
- Compare weak and strong prompts by the quality of the output each produces.
- Distinguish zero-shot, one-shot, and few-shot prompting, and select the appropriate approach for a given task.
- Describe how temperature, top-k, and top-p settings shape the variability of AI output.
- Define context files and explain how supplied context changes AI output.
- Select safe, relevant context sources and avoid oversharing sensitive information.
- Configure simple context-aware AI interactions in common tools.
Chapter 3: AI Reasoning
- Treat AI interactions as multi-turn conversations rather than single requests.
- Use follow-up prompts to refine, correct, and deepen an initial output.
- Maintain focus and coherence across an extended AI session.
- Explain how step-by-step (chain-of-reasoning) prompting improves performance on multi-step problems.
- Select among direct-answer, step-by-step, and self-critique approaches based on task complexity and cost of error.
- Recognize the limits of step-by-step prompting, including that it cannot repair missing or incorrect information.
Chapter 4: Responsible AI Use
- Identify key AI risks, including bias, hallucination, privacy exposure, and intellectual property concerns.
- Analyze the potential impact of ethical concerns in AI use on individuals, communities, and the broader world.
- Apply basic privacy and security practices when working with AI tools.
- Recognize situations that require disclosure of AI use or additional caution.
- Identify common AI errors and hallucinations in generated content.
- Detect bias and low-quality or shallow output.
- Select and apply appropriate verification methods for a given level of task risk.
- Execute a repeatable verification workflow from claim identification through documented confirmation.
Chapter 5: Creating and Learning with AI
- Use AI to overcome creative blocks, generate initial ideas, and draft and revise communications.
- Select prompts appropriate to different audiences, tones, and formats.
- Identify safe and ethical uses of AI-generated media.
- Use AI to critique and improve their own work.
- Use AI to explain concepts at an appropriate level of difficulty.
- Generate practice materials and study aids using AI templates.
- Distinguish acceptable AI-supported studying from academic misconduct.
Chapter 6: Analysis, Automation, and Agents
- Use AI as a thought partner in simple decision scenarios.
- Evaluate AI-suggested options for plausibility and risk.
- Explain decisions that combine AI output with human judgment.
- Identify everyday tasks suitable for basic AI-enabled automation.
- Describe common AI-supported workflow patterns.
- Identify the core components of an AI agent.
- Explain human-in-the-loop oversight for AI agents and automation, and place approval checkpoints appropriately.
Chapter 7: AI and Your Career
- Identify when and how to disclose AI use in academic and professional work.
- Recognize roles in AI-augmented team workflows, including prompter, verifier, and editor.
- Select clear, nontechnical explanations of AI use and its limitations for a non-expert audience.
- Describe how AI and related technologies are reshaping work across industries.
- Identify AI-related skills, both explicit and implicit, in job descriptions.
- Apply AI ethically to career preparation, including resumes, cover letters, and interview practice.