You're a first-year CS student working on your first group programming assignment. Your team of 3 students is building a simple website that lets students rate their professors. As you work on the project, you face some decisions that make you wonder: "What's the right thing to do as a programmer?"

Your Project:

• Students can create accounts and rate professors
• Comments and ratings are visible to other students
• You're learning basic web development and databases
• The project will be graded and possibly shown to other classes

Your teammate says: "We're just beginners. Professional ethics rules don't apply to us yet." Why is this wrong?

You're a data scientist at CityTech Solutions, tasked with developing a predictive algorithm for the city's social services department. The system will help allocate limited resources (housing assistance, job training, healthcare vouchers) to residents who apply for help. You must make critical decisions about data collection, processing methods, and algorithmic approaches.

Project Requirements:

• Predict which applicants are most likely to benefit from different types of assistance
• Process 10,000+ applications monthly with limited caseworker time
• Ensure fair distribution of resources across diverse communities
• Balance accuracy with ethical considerations
• Meet legal compliance requirements while optimizing outcomes

Available Data Sources:

• Application forms (income, family size, employment history, housing status)
• Public records (education level, criminal history, previous service usage)
• Social media data (posts, network connections, activity patterns)
• Credit scores and financial histories
• Geographic data (neighborhood demographics, crime rates, school quality)
• Health records (with consent, for health-related services)

Algorithm Options:

• Decision trees: Transparent rules, easy to audit, but may oversimplify
• Neural networks: High accuracy, but "black box" decision-making
• Ensemble methods: Balanced accuracy and interpretability
• Rule-based systems: Fully transparent, but limited adaptability

What You've Discovered:

• The analytics algorithm incorrectly flags students from certain zip codes as "at-risk" at higher rates
• Your code review reveals that student browsing history (including personal social media) is being collected without explicit consent
• The system stores students' family income data that's being used to predict academic outcomes
• A bug in your code accidentally exposed 200 students' private messages for 3 days before you caught it
• Your mentor says: "Don't worry about it - high school data isn't as sensitive as medical records"

Your Situation:

• Your supervisor praises your "efficiency" in implementing features quickly
• Other interns seem focused on completing tasks without questioning data practices
• You need a strong recommendation for your senior year job search

Stakeholder Context:

• 15,000 high school students across 12 schools will use this system daily
• Teachers rely on the analytics to identify students needing academic support
• Parents expect their children's educational data to be protected
• School administrators use the data for resource allocation and policy decisions

Which ethical principle is most violated by the zip code bias in the analytics algorithm?

What You've Discovered:

• The analytics algorithm incorrectly flags students from certain zip codes as "at-risk" at higher rates
• Your code review reveals that student browsing history (including personal social media) is being collected without explicit consent
• The system stores students' family income data that's being used to predict academic outcomes
• A bug in your code accidentally exposed 200 students' private messages for 3 days before you caught it
• Your mentor says: "Don't worry about it - high school data isn't as sensitive as medical records"

Your Situation:

• Your supervisor praises your "efficiency" in implementing features quickly
• Other interns seem focused on completing tasks without questioning data practices
• You need a strong recommendation for your senior year job search

Stakeholder Context:

• 15,000 high school students across 12 schools will use this system daily
• Teachers rely on the analytics to identify students needing academic support
• Parents expect their children's educational data to be protected
• School administrators use the data for resource allocation and policy decisions

A data scientist discovers that their company's AI model shows significant bias against certain demographic groups in loan approvals. The model is scheduled for deployment next week.

What demonstrates proper professional practice?

A CS capstone team has been developing a web application for 6 weeks. The four members (Emma, David, Lisa, Marcus) are now experiencing significant tensions.

Current Behaviors:

• David openly challenges Emma's React choice: "Vue would be much better for this project"
• Lisa sides with David, creating a 2v2 split with Marcus supporting Emma
• Team members interrupt each other during technical discussions
• Personal criticism emerges: "You always overcomplicate things"
• Subgroups form - David and Lisa meet separately to plan their approach
• Productivity has dropped as members avoid collaboration
• Marcus struggles to maintain authority as project manager
• Everyone has strong opinions but little willingness to compromise

Which stage of Tuckman's team development model does this scenario represent?

You're the project coordinator for a CS senior capstone team developing a mobile app for campus mental health resources. Your team includes: Sam (iOS developer), Maya (backend/API specialist), Jordan (UI/UX designer), and Casey (data analyst). It's week 8 of your 16-week project, and you've been struggling with unclear meeting outcomes and missed deadlines.

Previous Meeting Pattern:

Your team has been meeting weekly with informal discussions that often go off-topic. Last week's 90-minute meeting covered testing strategies, user feedback integration, deployment timeline, and personal stress about upcoming presentations, but no one took notes. This week, team members have different recollections of what was decided and who was supposed to do what.

For this week's critical integration meeting where you need to finalize API endpoints, coordinate UI components, and plan user testing, which agenda structure would be most effective?

You're a computer science student leading your capstone project team developing a web-based task management application. During this week's team meeting, you notice several concerning issues that need to be addressed clearly and directly. Your teammate Jamie has been consistently missing deadlines, but when you've asked general questions like "How's everything going?" they always respond with vague answers like "Fine, just working through some stuff."

Current Challenges:

• Jamie missed the database schema deadline last week
• The frontend integration that Jamie was responsible for is now 3 days overdue
• Jamie's code submissions have decreased from daily commits to once per week
• When you ask open-ended questions, Jamie gives non-specific responses that don't help you understand the real issues

Meeting Context:

It's Tuesday morning, and you're conducting your weekly team standup. You need to get specific information about Jamie's progress, identify exact blockers, and establish clear next steps. The professor expects a working demo in two weeks, and your team's success depends on getting accurate information and commitment from all members.

You're a computer science student working on a group project for your Software Engineering class. Your team of 4 students is developing a mobile app for campus dining services. During today's team meeting, you're presenting your research on user interface design options to help the team choose the best approach for your app.

The Decision-Making Challenge: Your team has reached a critical decision point about which UI framework to use. There are two main options:

Option A (React Native): Your teammate Sam strongly advocates for this because they have some experience with it from a summer internship.

Option B (Flutter): You've researched this extensively and believe it's better for your project's specific requirements, but no one on the team has used it before.

The Conflict: Sam says: "We should definitely go with React Native. I already know it, so I can help everyone learn quickly. We don't have time to learn a completely new framework."

However, your research shows Flutter would be significantly better for your app's performance requirements and cross-platform features. You need to force a decision because the deadline is approaching, but the team seems inclined to go with Sam's familiar option rather than the optimal technical choice.