CS 1110: Introduction to Computing: A Design and Development Perspective

CS 1110 is Cornell's entry point to computer programming, taught in Python. You'll learn to write clean, modular code — working with variables, conditionals, loops, and functions before moving on to recursion, string processing, and object-oriented design.…

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Common aliases: CS 1110

Resources 7
Types Midterms, Finals, Study Guides
Years 2012 – 2020
University Cornell University
Course Overview

Study Resources for Introduction to Computing: A Design and Development Perspective

Assessment Inventory for CS 1110 (7 Documents)
Assessment inventory for CS 1110 at Cornell University
Document Format Year Access
Midterm (Exam 1) 2020 Midterm 2020 Illustrative Archive
Midterm (Exam 1) 2019 Midterm 2019 Illustrative Archive
Midterm (Exam 1) 2016 Midterm 2016 Illustrative Archive
Midterm (Exam 2) 2015 Midterm 2015 Illustrative Archive
Midterm (Exam 1) 2014 Midterm 2014 Illustrative Archive
Final Exam 2012 Final 2012 Illustrative Archive
Study Guide 7 Study Guide — Illustrative Archive

Complete inventory of all 7 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.

Course Overview & Exam Syllabus

Course Description

CS 1110 is Cornell's entry point to computer programming, taught in Python. You'll learn to write clean, modular code — working with variables, conditionals, loops, and functions before moving on to recursion, string processing, and object-oriented design. Hands-on lab exercises and automated testing reinforce each concept along the way.

This archive catalogs 7 free educational resources and past exams for CS 1110 (Introduction to Computing: A Design and Development Perspective) at Cornell University, containing 5 midterm papers, 1 final examination, and 1 study guide. Dated documents represent 6 distinct academic years between 2012 and 2020.

Core Exam Topics & Learning Objectives

  • Variables, types, conditionals, loops, and writing modular functions in Python
  • String manipulation, list operations, and how Python handles references and scope
  • Recursive problem-solving and basic search/sort algorithms
  • Classes, inheritance, encapsulation, and designing small OOP hierarchies
  • Writing and interpreting unit tests and debugging strategies
  • Tracing code execution through memory models (stack frames and the heap)

Frequently Asked Questions

Which assessment formats are cataloged in this CS 1110 archive?

This collection for CS 1110 at Cornell University catalogs 7 total resources across the following formats: Midterms, Finals, Study Guides. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.

What academic years are covered in this CS 1110 collection?

Dated materials in this archive span from 2012 to 2020, representing 6 distinct academic years. Coverage varies by the records currently cataloged for this course.

How can students access these free CS 1110 past exams?

All cataloged CS 1110 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the Cornell University course syllabus.

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