Classtimes
Class-time will be coordinated
Course Type
Description
Step into the realm of text data analysis with Python! Throughout this engaging course, you’ll discover how to harness Python’s capabilities to delve into Shakespeare’s complete works, analyzing word frequencies with precision. From becoming skilled in the art of processing text files to identifying and excluding common filler words, you’ll unravel the secrets of Shakespeare’s most frequently used language. By the end, you’ll not only enhance your Python skills but also gain a deeper appreciation for the intersection of literature and computational analysis.
State Standards
HS-ETS1-2 Engineering Design:
Break a complex real-world problem into smaller, more manageable problems that each can be solved using scientific and engineering principles.
HS-ETS1-4 Engineering Design:
Use a computer simulation to model the impact of a proposed solution to a complex real-world problem that has numerous criteria and constraints on the interactions within and between systems relevant to the problem.
Supports Available to Students
Tier 1 (Supports provided to ALL students)
- OMME ESL StudySync adaptation
- OMME-ESL Curriculum
- SLIFE/Newcomers – Secondary Vista Get Ready
Tier 2 (Supports provided to targeted SMALLER groups of students)
- ELD small groups
- Utilize tiered supports provided within the CPM(Collaboration, Problem-Based Learning, and Mixed Spaced Practice) curricula
- Imagine Learning
Tier 3 (Intensive supports provided to SMALL groups or INDIVIDUAL students)
- 1:1 or Small Group
- Develop individualized plans that provide additional 1-1 or small group support that addresses the specific skills needed to access the CPM (Collaboration, Problem-Based Learning, and Mixed Spaced Practice)
Skills-learned
- Read contents of a text file using Python
- Use a Python dictionary data structure to count word frequency
- Use Python to analyze word frequency of a text
