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Start Here: A Practical Student Computing Workflow
Begin with one working-log entry, then add four practical computing practices when they support a current need.
term
Documentation
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Find the Original Source Behind a Research Summary
Locate one original source and identify the section needed to investigate a research question.
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Extract Deadlines and Hard Rules from a Syllabus or LMS
Turn course information from a syllabus or LMS into a source-linked plain-text register of milestones, hard rules, open questions, and verification states.
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Emergency Triage for Broken Assignments and Files
A calm, evidence-first protocol for protecting files, assessing damage, and choosing the next recovery step when student work breaks near a deadline.
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Start a Working Log Before You Change Anything
Create a chronological record that makes setup, troubleshooting, and AI-assisted work easier to understand and verify.
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Verify a Citation Before You Use It
Resolve one reference to a matching work, record the version, and distinguish identity from content verification.
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Handle LMS Course Changes Before They Become Surprises
Use LMS alerts, clarify conflicting dates or instructions, and preserve simple evidence when a surprise course change causes a problem.
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Organize LMS Downloads and Lecture Notes into a Clean Course Workspace
Route one course's downloads, notes, assignments, and source files into a small workspace without losing context or creating duplicate copies.
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Write a Personal System Charter Before Choosing Tools
Define outcomes, constraints, non-goals, ownership, and evidence before selecting applications or configurations.
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Does This Source Actually Support Your Sentence?
Revise one overbroad sentence and attach a precise source location and remaining limitation.
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Build a Course Dashboard in Markdown
Create a small Markdown index for one course that connects source files, milestones, current status, open questions, and the next action.
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Communicating with Instructors During a Technical Crisis
Write a short, honest, evidence-backed message when a technical problem may affect an assignment, deadline, or submission.
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Keep Research Notes Connected to Their Sources
Reopen one source passage from a saved note and identify which text is quotation, paraphrase, or personal inference.
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Build a Reproducible Linux Setup
Create and test a secret-free Ubuntu 26.04 LTS setup repository with a curated package manifest, selected configuration, bootstrap steps, and read-only verification.
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Markdown in 30 Minutes
Learn the small set of Markdown syntax needed to write and verify a useful first README.
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Rebuild a Student Windows PC from Documentation
Rehearse Windows recovery safely with backups, manifests, setup documentation, and project repositories before any destructive reset.
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Find AI Information Through Builders, Not Just Influencers
Use interpreters to discover questions, builders to find firsthand context, and primary evidence to reach a bounded conclusion about an AI claim.
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Use a Chatbot to Complete a Complicated Template
Turn a long template into a guided chatbot interview, answer one question at a time, and export a complete record without invented information.
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Build a Reproducible Windows Setup
Record Windows packages, configuration, setup steps, and verification in a versioned, secret-free environment repository.
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Files, Folders, Paths, and Extensions Without the Mystery
Build a clear filesystem model by locating the same file in a graphical file manager and a terminal.
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A College Folder Structure That Can Survive Four Years
Create a simple academic folder structure organized by year, term, and course without adding unnecessary complexity.
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Stop Naming Files “Final-Final-2”
Build a predictable filename convention and know when filenames, document history, or Git should manage revisions.
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Learn to Ask a Command for Help
Use a command-discovery checklist to find local help, read usage notation, and verify unfamiliar options.
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How to Make a Useful Commit
Create a small verified Git checkpoint with one logical change and a descriptive message.
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A Project README That Lets Someone Else Succeed
Write a project README that explains purpose, requirements, installation, running, testing, and verification.
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Before You Ask AI, Write Down What You Know
Use a known–unknown–attempt record to preserve independent reasoning and ask AI a focused, verifiable question.
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AI Can Be Confident and Wrong
Recognize invented citations and APIs, sample-only code, hidden assumptions, and unnecessary complexity in AI output.
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Don’t Let a Useful AI Conversation Disappear
Capture a successful AI-assisted task as a durable record of the problem, reasoning, commands, risks, and verification.
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Use `AGENTS.md` to Teach an AI About a Repository
Record durable repository conventions, commands, scope, and review expectations while keeping one-time requests in the prompt.
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A Project Structure That Encourages Good Habits
Organize source, tests, documentation, scripts, and examples in a small project skeleton that makes expected work easy to find.
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Write a Reproducible Bug Report
Give a classmate, instructor, maintainer, or AI enough safe evidence to reproduce and investigate a failure.
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Build a Small Portfolio with Depth
Present a few projects through their problems, decisions, implementation, tests, evidence, credits, and honest reflection.
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The Semester-End Technical Review
Archive course work, test recovery, review tools, update setup documentation, preserve repeated work, and select portfolio evidence.