Cornell CS 1110: Introduction to Computing: A Design and Development Perspective
CS 1110 is Cornell's Python-based first programming course, covering variables and types, functions, conditionals and loops, objects and classes, recursion, and testing. It's taken by intended CS majors and a large non-major population alike, and it leads into CS 2110 for those continuing in the major.
Fennie is independent and not affiliated with Cornell University. This is an unofficial study guide.
What makes it hard
Python's friendliness makes the early weeks feel easy, then objects, recursion, and the design-discipline emphasis (testing, invariants, function specifications) separate students who built real problem-solving skill from those who copied patterns. The evening prelims require writing and tracing code by hand without an interpreter, which exposes anyone who passed assignments through trial-and-error running.
What you'll cover
- • Python types, variables, and expressions
- • Functions and specifications
- • Conditionals and iteration
- • Objects and classes
- • Recursion
- • Testing and debugging discipline
The CS 1110 study guide
How to study for Cornell CS 1110, step by step.
- 1
Code in Python every day from week one
CS 1110's concepts stack and the gentle start is a trap. Twenty to thirty minutes of daily writing and running keeps each week's material load-bearing for the next, before objects and recursion arrive.
- 2
Take the design discipline seriously
Function specifications, testing, and invariants are graded skills the prelims test directly, not busywork. Write the spec and a test before the body of every function until it becomes a habit.
- 3
Practice writing and tracing code on paper
Evening prelims happen without an interpreter. Produce functions by hand and predict the output of code you didn't write. Both are skills distinct from typing in an editor, and both appear on exams.
- 4
Build a real mental model of recursion
Trust the recursive call to handle the smaller case while you reason about one frame. Students who trace every call of every example burn out; the inductive view is the breakthrough that makes the prelim questions tractable.
- 5
Rebuild assignments from a blank file
After an assignment is graded, rewrite its core logic from scratch. If you can't reproduce it without your old code, the prelim will discover that before you do.
Today's CS 1110 plan
What a Fennie Daily Plan looks like for CS 1110. Yours is built from your syllabus and adapts every day to your deadlines and progress.
- Review: RecursionReview · 25 min
Work back through the CS 1110 material on recursion. In the app, Fennie builds this from your own notes and syllabus.
- Practice: Testing and debugging disciplinePractice · 20 min
Targeted problems on testing and debugging discipline, the kind CS 1110 actually tests.
- Quick quiz: Python types, variables, and expressionsQuiz · 10 min
Five generated questions to expose weak spots on python types, variables, and expressions before the exam does.
- Preview: Functions and specificationsPreview · 10 min
A first pass over functions and specifications so the next session starts from familiar ground.
First plan free, no card required. Fennie is independent and unaffiliated with your school.
FAQ
Is CS 1110 at Cornell hard?
It's approachable for beginners but a real course: the start is gentle, then objects, recursion, and design discipline raise the bar, and evening prelims require writing code by hand. Daily practice from week one keeps the difficulty curve manageable.
Do I need programming experience for CS 1110?
No. It assumes none, and many students arrive with zero background. But it moves at a steady pace, so true beginners should budget consistent daily practice rather than relying on the early weeks feeling easy.
Should I take CS 1110 or CS 1112?
CS 1110 (Python) is the standard track for most majors; CS 1112 (MATLAB) is the engineering-oriented variant. Both satisfy the intro requirement and lead to CS 2110, so check which your program lists; they're treated as equivalent prerequisites.
More Cornell courses
CS 2110: Object-Oriented Programming and Data Structures
CS 2110 is Cornell's second programming course, taught in Java and cross-listed as ENGRD 2110. It covers object-oriented design, data structures (lists, trees, hash tables, graphs), recursion, and an introduction to algorithmic analysis. It's the gateway most CS and engineering students name as the major's first real workload jump.
CS 2800: Discrete Structures
CS 2800 is Cornell's discrete mathematics course for CS majors, covering logic and proof, induction, sets, functions and relations, combinatorics, graph theory, basic probability, and finite-state machines. It's the bridge from coding to the mathematical reasoning the upper-level theory courses assume.
CS 3110: Data Structures and Functional Programming
CS 3110 is Cornell's famous functional-programming and data-structures course, taught in OCaml. It covers immutability, recursion, higher-order functions, modules and functors, formal specification and verification, and reasoning about correctness and complexity. It's a required CS core course and a notorious pace step-up after CS 2110.
CS 4820: Introduction to Analysis of Algorithms
CS 4820 is Cornell's upper-level algorithms course, covering greedy algorithms, divide and conquer, dynamic programming, network flow, and NP-completeness and reductions, with a heavy emphasis on proving correctness and analyzing complexity. It's a required CS core course and a capstone of the theory sequence.