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Course Description:

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This course provides an introduction to Python programming for learners with little or no prior coding experience. Emphasizing logic, creativity, and practical problem-solving, the course will cover foundational concepts in a supportive, inclusive environment. While not aimed at job placement, learners will gain digital fluency, computational thinking skills, and confidence in using programming as a tool for everyday problem-solving and civic engagement.

 

Course Objectives:

By the end of the course, learners will be able to:

 

• Understand basic programming concepts using Python.

• Write and run simple Python scripts.

• Use Python to solve everyday and community-based problems.

• Recognize ethical considerations in digital tools and automation.

• Build confidence in lifelong digital learning.

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Target Audience:Adult learners and community members seeking digital literacy.

Individuals interested in learning programming for personal growth.

Students exploring STEM in a non-technical track.

 

Duration: 10 weeks (2 hours/week)

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Weekly Breakdown

 

Week 1:

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Introduction to Python and Digital Thinking

• Installing Python and setting up an IDE (e.g., Thonny or Replit)

• Writing your first Python program: print("Hello, world!")

• Understanding errors and how to troubleshoot

• Reflection: Why coding matters in communities

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Week 2: Variables and Data Types

• Variables, integers, floats, and strings

• String formatting and basic input

• Simple calculator activity

• Community discussion: How data is used in daily life

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Week 3: Control Structures (If Statements)

• Logical conditions and Boolean expressions

• if, elif, and else statements

• Writing a simple decision-making program (e.g., voter eligibility checker)

• Case discussion: Ethics of automation in social programs

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Week 4: Loops (While and For)

• Repetition with while loops and for loops

• Loop control (break, continue)

• Practice: Simple quiz or password attempt script

• Group challenge: Budgeting tool simulation

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Week 5: Functions

• Defining and calling functions

• Parameters and return values

• Activity: Writing a function to convert units (e.g., miles to kilometers)

• Discuss: How modular thinking helps in life and programming

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Week 6: Working with Lists

• Creating and using lists

• Looping through lists

• Practice: Grocery list manager or class roster tracker

• Community conversation: Organizing data in daily life

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Week 7: Dictionaries and Real-world Data

• Key-value pairs and basic dictionary operations

• Example: Tracking community survey results

• Reflection: Data storytelling and its impact

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Week 8: File Handling (Optional/Advanced)

• Reading from and writing to text files

• Simple CSV data processing

• Optional Project: Analyze a small dataset (e.g., library records or event sign-ups)

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Week 9: Mini Project Development

• Learners choose a small personal or community-oriented project (e.g., recycling tracker, reading log, local food pantry inventory)

• Instructor and peer feedback

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Week 10: Project Showcase and Ethical Reflection

• Present final projects

• Reflect on programming as a civic tool

• Discuss opportunities for further learning and community engagement

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Assessment:

• Weekly practice tasks and reflection journals

• Final mini project (individual or paired)

• Participation in discussions and group activities

 

Materials Needed:

• Computer or Chromebook with internet access

• Python (installed locally or via Replit)

• Course workbook (provided digitally or in print)

• Community examples for case studies and inspiration

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