Cornell BIOG 1440: Introductory Biology: Comparative Physiology
BIOG 1440 is one of Cornell's introductory majors biology courses, focused on comparative physiology: how animals and plants solve the problems of survival across organ systems, from gas exchange and circulation to osmoregulation and neural signaling. It satisfies part of the intro biology requirement for life-science and pre-health students.
Fennie is independent and not affiliated with Cornell University. This is an unofficial study guide.
What makes it hard
It's not pure memorization: prelims emphasize applying physiological principles to novel scenarios (predict what happens to this system under that condition), which rewards understanding mechanisms over recalling facts. The breadth across organ systems is large, and students who study by re-reading rather than explaining how each system works hit a wall on the application questions.
What you'll cover
- • Principles of physiology and homeostasis
- • Gas exchange and respiration
- • Circulation
- • Osmoregulation and excretion
- • Neural and hormonal signaling
- • Comparative organ systems
The BIOG 1440 study guide
How to study for Cornell BIOG 1440, step by step.
- 1
Learn mechanisms, not just labels
BIOG 1440 prelims ask you to apply physiology to novel scenarios, so memorizing structures isn't enough. For each system, learn what it does, how, and what happens if a step is disrupted.
- 2
Self-quiz with prediction questions
Practice predicting how a system responds to a change (more salt, less oxygen, a blocked vessel) rather than rereading notes. Prediction is exactly the format the application questions take.
- 3
Compare systems across organisms deliberately
The comparative angle means contrasting how different animals solve the same problem. Build comparison tables so the parallels and contrasts the exams probe are explicit, not blurred.
- 4
Use spaced review for the breadth
The organ-system breadth is large and earlier systems resurface in integrative questions. A short weekly pass over earlier material keeps the volume from compounding into a finals-week mountain.
Today
Today's BIOG 1440 plan
What a Fennie Daily Plan looks like for BIOG 1440. Yours is built from your own syllabus and adapts every day to your deadlines and progress.
First plan free, no card required. Fennie is independent and unaffiliated with your school.
FAQ
Is BIOG 1440 at Cornell hard?
It's demanding less for volume than for its application focus: prelims ask you to predict how physiological systems respond to novel conditions rather than recall facts. Students who learn mechanisms and practice prediction do well; rereading-only studiers hit a wall.
How do I study for BIOG 1440 exams?
Learn how each system works and what happens when a step is disrupted, then self-quiz with prediction questions in that format. Build comparison tables across organisms, since the comparative angle is a frequent exam target.
Is BIOG 1440 good for pre-med?
It's a common part of the intro biology requirement for pre-health students, and its physiology foundations connect well to later coursework and the MCAT's biological systems content. Confirm your specific sequence on your degree audit.
More Cornell courses
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.
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.