Textbook assignments for spring 2024, summer 2024, and fall 2024 are listed below. Thanks to the Cornell Mathematics Library, free e-versions of textbooks are available (and linked below) for many upper-level and graduate courses in mathematics.
The Cornell Academic Materials Program provides undergraduate students taking undergraduate courses at Cornell with access to their required textbooks and coursepacks for a single flat-rate cost. All materials in this program are provided in a digital format within Canvas and become available for students to access no later than the first day of classes. Optional, out-of-print, and hard-to-find titles are not included in the program and will not be stocked at The Cornell Store.
MATH 1002 - PSSP Calculus Preparation and Quantitative Methods // summer 2024
Lial, Greenwell, and Ritchey, Calculus with Applications, 11th edition, Pearson Education, 2016 (ISBN: 978-0-321-97942-1).
MATH 1003 - PSSP Statistics Preparation and Quantitative Methods // summer 2024
Lial, Greenwell, and Ritchey, Finite Mathematics, 11th edition, Pearson Education, 2016 (ISBN: 978-0-321-97943-8).
MATH 1101 - Calculus Preparation // fall 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 1105 - Finite Mathematics for the Life and Social Sciences // fall 2024
Lial, Greenwell, and Ritchey, Finite Mathematics, 12th edition, Pearson Education, 2022 (ISBN: 978-0-13-588262-7)
MATH 1106 - Modeling with Calculus for the Life Sciences // spring 2024
Garfinkel, Shevtsov, and Guo, Modeling Life: The Mathematics of Biological Systems, Springer, 2017 (ISBN: 978-3-319-59730-0) — free e-book through the Cornell Math Library
MATH 1110 - Calculus I // spring 2024, fall 2024
Boelkins, Matthew, Active Calculus 2018, CreateSpace Independent Publishing, 2018 (ISBN: 978-1724458322).
MATH 1110 - Calculus I //summer 2024
Hass, Heil, and Weir, Thomas’ Calculus: Early Transcendentals, Single Variable, 14th edition, Pearson Education, 2018 (ISBN: 978-0-13-443941-9) — Instant Access through Canvas
MATH 1120 - Calculus II // fall 2024
Boelkins, Matthew, Active Calculus 2018, CreateSpace Independent Publishing, 2018 (ISBN: 978-1724458322).
Hass, Heil, and Weir, Thomas’ Calculus: Early Transcendentals, Single Variable, 14th edition, Pearson Education, 2018 (ISBN: 978-0-13-443941-9)
MATH 1120 - Calculus II // spring 2024
Boelkins, Matthew, Active Calculus 2018, CreateSpace Independent Publishing, 2018 (ISBN: 978-1724458322).
MATH 1300 - Mathematical Explorations // fall 2024
Kalman, Forgoston, and Goetz, Elementary Mathematical Models: An Accessible Development without Calculus, 2nd edition, American Mathematical Society, 2019 (ISBN: 978-1-4704-5001-4).
MATH 1340 - Strategy, Cooperation, and Conflict // spring 2024
Prisner, Erich, Game Theory Through Examples, Mathematical Association of America, 2014 (ISBN: 978-1-61444-115-1) — free e-book through the Cornell Math Library
Kolokoltsov and Malafeyev, Understanding Game Theory: Introduction to the Analysis of Many Agent Systems with Competition and Cooperation, 2010 – full text available for free through ResearchGate
MATH 1710 - Statistical Theory and Application in the Real World // spring 2024, fall 2024
Diez, Barr, and Çetinkaya-Rundel, OpenIntro Statistics, 3rd edition, OpenIntro, Inc., 2015 (Edition: 3; ISBN: 978-1-943450-03-9) — available through Canvas
MATH 1910 - Calculus For Engineers // spring 2024, summer 2024, fall 2024
Rogawski, Adams, and Franzosa, Calculus, 4th edition, W. H. Freeman, 2019 (ISBN: 978-1-319-05073-3) — Instant Access through Canvas
MATH 1920 - Multivariable Calculus For Engineers // spring 2024, summer 2024, fall 2024
Rogawski, Adams, and Franzosa, Calculus, 4th edition, W. H. Freeman, 2019 (ISBN: 978-1-319-05073-3) — Instant Access through Canvas
ALTERNATIVE for students who do not need access to material covered in MATH 1910: Rogawski, Adams, and Franzosa, Calculus: Late Transcendentals Multivariable, W. H. Freeman, 2019 (ISBN: 978-1-319-05578-3).
MATH 2210 - Linear Algebra // spring 2024, fall 2024
W. Keith Nicholson, Linear Algebra with Applications, Version 2021 Revision A (Open Edition)
MATH 2220 - Multivariable Calculus // spring 2024, fall 2024
Shimamoto, Don, Multivariable Calculus, 2019 (ISBN: 978-1-7082-4699-0).
MATH 2230 - Theoretical Linear Algebra and Calculus // fall 2024
Hubbard and Hubbard, Vector Calculus, Linear Algebra and Differential Forms: A Unified Approach, 5th edition, Matrix Editions, 2015 (ISBN: 978-0-9715766-8-1).
(optional) Hubbard and Hubbard, Vector Calculus, Linear Algebra and Differential Forms: A Unified Approach, 5th edition, Student Solutions Manual, Matrix Editions, 2015 (ISBN: 978-0-9715766-9-8).
MATH 2240 - Theoretical Linear Algebra and Calculus // spring 2024
Hubbard and Hubbard, Vector Calculus, Linear Algebra and Differential Forms: A Unified Approach, 5th edition, Matrix Editions, 2015 (ISBN: 978-0-9715766-8-1).
MATH 2310 - Linear Algebra for Data Science // fall 2024
Strang, Gilbert, Linear Algebra and Learning from Data, Wellesley-Cambridge Press, 2019 (ISBN: 978-0-692-19638-0).
MATH 2930 - Differential Equations for Engineers // spring 2024, summer 2024, fall 2024
Boyce, DiPrima, and Meade, Elementary Differential Equations and Boundary Value Problems, 12th edition, John Wiley & Sons, 2021 (ISBN: 978-1-119-77769-4).
MATH 2940 - Linear Algebra for Engineers // spring 2024, summer 2024, fall 2024
Lay, Lay, and McDonald, Linear Algebra and its Applications, 6th edition, Pearson Education, 2020 (ISBN: 978-0-13-684748-9).
MATH 3040 - Prove It! // spring 2024, fall 2024
Beck and Geoghegan, The Art of Proof: Basic Training for Deeper Mathematics, Springer (ISBN: 978-1-4419-7022-0) — free e-book through the Cornell Math Library
MATH 3110 - Introduction to Analysis // spring 2024, fall 2024
Abbott, Stephen, Understanding Analysis, 2nd edition, Springer-Verlag, 2002 (ISBN: 978-1-4939-2711-1) — free e-book through the Cornell Math Library
MATH 3210 - Manifolds and Differential Forms // fall 2024
Reyer Sjamaar, Manifolds and Differential Forms
MATH 3270 - Introduction to Ordinary Differential Equations // fall 2024
Ahmad and Ambrosetti, A Textbook on Ordinary Differential Equations, 2nd edition, Springer, 2015 (ISBN: 978-3-319-16407-6) — free e-book through the Cornell Math Library
MATH 3320 - Introduction to Number Theory // fall 2024
Jones and Jones, Elementary Number Theory, Springer, 1998 (ISBN: 978-3-540-76197-6) — free e-book through the Cornell Math Library
MATH 3320 - Introduction to Number Theory // spring 2024
Jones and Jones, Elementary Number Theory, Springer, 1998 (ISBN: 978-3-540-76197-6) — free e-book through the Cornell Math Library
Weissman, Martin, An Illustrated theory of Numbers, American Mathematical Society, 2017 (ISBN: 978-1-4704-3493-9)
MATH 3340 - Abstract Algebra // spring 2024
Beachy and Blair, Abstract Algebra, 4th edition, Waveland Press, Inc., 2019 (ISBN: 978-1-4786-3869-8)
MATH 3360 - Applicable Algebra // spring 2024
(optional) Childs, Lindsay N., A Concrete Introduction to Higher Algebra, 3rd edition, Springer-Verlag, 2009 (ISBN: 0-387-74527-5) — free e-book through the Cornell Math Library
(optional) Aigner, Martin, Discrete Mathematics, American Mathematical Society, 2007 (ISBN: 978-0-8218-4151-8)
MATH 3610 - Mathematical Modeling // fall 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 4030 - History of Mathematics // spring 2024
Katz, Victor, A History of Mathematics: an introduction, 3rd edition, Addison Wesley, 2009 (ISBN: 978-0-321-65674-2)
MATH 4130 - Honors Introduction to Analysis I // fall 2024
Strichartz, Robert, The Way of Analysis (revised edition), Jones & Bartlett Publishers, 2000 (ISBN: 0-7637-1497-6).
MATH 4130 - Honors Introduction to Analysis I // spring 2024
Rosenlicht, Maxwell, Introduction to Analysis, Dover Publications, 1986 (ISBN: 978-0-486-65038-8)
MATH 4140 - Honors Introduction to Analysis II // spring 2024
Strichartz, Robert, The Way of Analysis (revised edition), Jones & Bartlett Publishers, 2000 (ISBN: 0-7637-1497-6).
MATH 4180 – Complex Analysis // spring 2024
Gamelin, Theodore W., Complex Analysis, Springer-Verlag, 2000 (ISBN: 0-387-95069-9) — free e-book through the Cornell Math Library
MATH 4210 - Nonlinear Dynamics and Chaos // fall 2024
Strogatz, Steven H., Nonlinear Dynamics and Chaos with Applications to Physics, Biology, Chemistry, and Engineering, 3nd edition, CRC Press LLC, 2024 (ISBN: 978-1-032-70789-1)
MATH 4220 - Applied Complex Analysis // fall 2024
Asmar and Grafakos, Complex Analysis with Applications, Springer, 2018 (ISBN: 978-3-030-06788-5) — free e-book through the Cornell Math Library
MATH 4250 - Numerical Analysis and Differential Equations // fall 2024
Süli and Mayers, An Introduction to Numerical Analysis, Cambridge University Press, 2003 (ISBN: 978-0-521-81026-5) — free e-book through the Cornell Math Library
MATH 4280 - Introduction to Partial Differential Equations // spring 2024
Strauss, Walter, Partial Differential Equations: An Introduction, 2nd edition, John Wiley & Sons, 2007 (ISBN: 0-470-05456-5)
MATH 4310 - Linear Algebra // fall 2024
Axler, Sheldon, Linear Algebra Done Right, 3rd edition, Springer, 2015 (ISBN: 978-3-319-11079-0) — free e-book through the Cornell Math Library
Dillon, Meighan, Linear Algebra: Vector Spaces and Linear Transformations, American Mathematical Society, 2023 (ISBN: 978-1-4704-6986-3)
MATH 4310 - Linear Algebra // spring 2024
Axler, Sheldon, Linear Algebra Done Right, 3rd edition, Springer, 2015 (ISBN: 978-3-319-11079-0) — free e-book through the Cornell Math Library
MATH 4330 - Honors Linear Algebra // fall 2024
Roman, Steven, Advanced Linear Algebra, 3rd edition, Springer, 2007 (ISBN: 978-0-387-72828-5) — free e-book through the Cornell Math Library
MATH 4340 - Honors Introduction to Algebra // spring 2024
Silverman, Joseph H., Abstract Algebra: An Integrated Approach, American Mathematical Society, 2022 (ISBN: 978-1-4704-6860-6).
MATH 4370 - Computational Algebra // fall 2024
Cox, Little, and O'Shea, Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 4th edition, Springer-Verlag, 2015 (ISBN: 978-3-319-16720-6) — free e-book through the Cornell Math Library
MATH 4410 - Introduction to Combinatorics I // fall 2024
Aigner and Ziegler, Proofs from the Book, 6th edition, Springer, 2018 (ISBN: 978-3-662-57264-1) — free e-book through the Cornell Math Library
Sagan, Bruce E., Combinatorics: The Art of Counting, American Mathematical Society, 2020 (ISBN: 978-1-4704-6032-7) — free e-book through the Cornell Math Library
MATH 4420 - Introduction to Combinatorics II // spring 2024
Oxley, J. G., Matroids, 2nd edition, Oxford University Press, 2011 (ISBN: 978-0-19-856694-6) — free e-book through the Cornell Math Library
MATH 4500 - Matrix Groups // spring 2024
Tapp, Kristopher, Matrix Groups for Undergraduates, 2nd edition, American Mathematical Society, 2016 (ISBN: 978-1-470-42722-1) — free e-book through the Cornell Math Library
Stillwell, John, Naive Lie Theory, Springer-Verlag, 2008 (ISBN: 978-0-387-78214-0) — free e-book through the Cornell Math Library
MATH 4520 - Classical Geometries // fall 2023
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 4530 - Introduction to Topology // fall 2024
Munkres, James, Topology, 2nd edition, Prentice Hall PTR, 2000 (ISBN: 0-13-181629-2).
MATH 4540 - Introduction to Differential Geometry // spring 2024
Pressley, Andrew, Elementary Differential Geometry, 2nd edition, Springer-Verlag, 2010 (ISBN: 978-1-84882-890-2) — free e-book through the Cornell Math Library
MATH 4710 - Basic Probability // spring 2024, fall 2024
Anderson, Seppalainen, and Valko, Introduction to Probability, Cambridge University Press, 2017 (ISBN: 978-1-108-41585-9)
MATH 4720 - Statistics // spring 2024
Rice, John A., Mathematical Statistics and Data Analysis, 3rd edition, Brooks/Cole, 2007 (ISBN: 0-534-39942-8)
MATH 4740 - Stochastic Processes // spring 2024
Durrett, Richard, Essentials of Stochastic Processes, 3rd edition, Springer, 2016 (ISBN: 978-3-3194-5613-3) — free e-book through the Cornell Math Library
MATH 4810 - Mathematical Logic // fall 2024
Enderton, Herbert, A Mathematical Introduction to Logic, 2nd edition, Elsevier Science & Technology Books, 2000 (ISBN: 0-12-238452-0).
MATH 5220 - Applied Complex Analysis // fall 2024
Asmar and Grafakos, Complex Analysis with Applications, Springer, 2018 (ISBN: 978-3-030-06788-5) — free e-book through the Cornell Math Library
MATH 5250 - Numerical Analysis and Differential Equations // fall 2024
Süli and Mayers, An Introduction to Numerical Analysis, Cambridge University Press, 2003 (ISBN: 978-0-521-81026-5) — free e-book through the Cornell Math Library
MATH 5410 - Introduction to Combinatorics I // fall 2024
Aigner and Ziegler, Proofs from the Book, 6th edition, Springer, 2018 (ISBN: 978-3-662-57264-1) — free e-book through the Cornell Math Library
Sagan, Bruce E., Combinatorics: The Art of Counting, American Mathematical Society, 2020 (ISBN: 978-1-4704-6032-7) — free e-book through the Cornell Math Library
MATH 5420 - Introduction to Combinatorics II // spring 2024
Oxley, J. G., Matroids, 2nd edition, Oxford University Press, 2011 (ISBN: 978-0-19-856694-6) — free e-book through the Cornell Math Library
MATH 6110 - Real Analysis // fall 2024
Stein and Shakarchi, Real Analysis: Measure Theory, Integration, and Hilbert Spaces, Princeton University Press, 2005 (ISBN: 0-691-11386-6).
MATH 6120 - Complex Analysis // spring 2024
Zakeri, Saeed, A Course in Complex Analysis, Princeton University Press, 2021 (ISBN: 978-0-691-20758-2)
MATH 6160 - Partial Differential Equations // spring 2024
Evans, Lawrence, Partial Differential Equations, 2nd edition, American Mathematical Society, 2010 (ISBN: 978-0-8218-4974-3)
MATH 6210 - Measure Theory and Lebesgue Integration // fall 2024
Axler, Sheldon, Measure, Integration, and Real Analysis, Springer, 2020 (ISBN: 978-3-030-33142-9) — free e-book through the Cornell Math Library
MATH 6220 - Applied Functional Analysis // spring 2024
Zeidler, Eberhard, Applied Functional Analysis: applications to mathematical physics, Springer-Verlag, 1995 (ISBN: 0-387-94442-7) — free e-book through the Cornell Math Library
MATH 6230 - Differential Games and Optimal Control // fall 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6260 - Dynamical Systems // fall 2024
Milnor, John, Dynamics in One Complex Variable, 3rd edition, Princeton University Press, 2006 (ISBN: 0-691-12488-4) — free e-book through the Cornell Math Library
Hubbard, John, Teichmüller Theory and Applications to Geometry, Topology, and Dynamics; Volume 1: Teichmüller Theory, Matrix Editions, 2006 (ISBN: 978-0-9715766-2-9)
Hubbard, John, Teichmüller Theory and Applications to Geometry, Topology, and Dynamics; Volume 2: Surface Homeomorphisms and Rational Functions, Matrix Editions, 2006 (ISBN: 978-1-943863-00-6)
MATH 6310 - Algebra // fall 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6320 - Algebra // spring 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6350 - Homological Algebra // spring 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6390 - Lie Groups and Lie Algebras // fall 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6510 - Algebraic Topology // spring 2024
Hatcher, Allen, Algebraic Topology, Cambridge University Press, 2001 (ISBN: 0-521-79540-0).
MATH 6520 - Differentiable Manifolds // fall 2024
Lee, John M., Introduction to Smooth Manifolds, 2nd edition, Springer, 2012 (ISBN: 978-1-4419-9981-9) — free e-book through the Cornell Math Library
MATH 6540 - Homotopy Theory // fall 2024
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6630 - Symplectic Geometry // spring 2024
Cannas da Silva, Ana, Lectures on Symplectic Geometry, Springer, 2001 (ISBN: 978-3-540-42195-5) — free e-book through the Cornell Math Library
McDuff and Salamon, Introduction to Symplectic Topology, 3rd edition, Oxford University Press (ISBN: 978-0-19-879490-5) — free e-book through the Cornell Math Library
MATH 6710 - Probability Theory I // fall 2024
Durrett, Rick, Probability: Theory and Examples, 5th edition, Cambridge University Press, 2019 (ISBN: 978-1-108-47368-2) — free e-book through the Cornell Math Library
MATH 6720 - Probability Theory II // spring 2024
Durrett, Rick, Probability: Theory and Examples, 5th edition, Cambridge University Press, 2019 (ISBN: 978-1-108-47368-2) — free e-book through the Cornell Math Library
Le Gall, Jean-François, Brownian Motion, Martingales, and Stochastic Calculus, Springer, 2016 (ISBN: 978-3-319-31088-6) — free e-book through the Cornell Math Library
Williams, David, Probability with Martingales, Cambridge University Press, 1991, (ISBN: 978-0-521-40605-5)
MATH 6740 - Mathematical Statistics II // fall 2024
Korostelev and Korosteleva, Mathematical Statistics: Asymptotic Minimax Theory, American Mathematical Society, 2011 (ISBN: 978-0-8218-5283-5) — free e-book through the Cornell Math Library
MATH 6870 - Set Theory // fall 2024
Kechris, Alexander, Classical Descriptive Set Theory, Springer, 1995 (ISBN: 978-0-387-94374-9) — free e-book through the Cornell Math Library
MATH 7390 - Topics in Lie Groups and Lie Algebras // spring 2024
Bump, Daniel, Automorphic Forms and Representations, Cambridge University Press, 1998 (ISBN: 0-521-65818-7) — free e-book through the Cornell Math Library
Berstein, Gelbart, et al, An Introduction to the Langlands Program, Birkhauser Boston, 2004 (ISBN: 978-0-8176-3211-3) — free e-book through the Cornell Math Library
MATH 7670 - Topics in Algebraic Geometry // spring 2024
Lazarsfeld, Robert, Positivity in Algebraic Geometry I, Springer-Verlag, 2004 (ISBN: 978-3-540-22533-1) — free e-book through the Cornell Math Library
Lazarsfeld, Robert, Positivity in Algebraic Geometry II: Positivity for Vector Bundles and Multiplier Ideals, Springer-Verlag, 2004 (ISBN: 978-3-540-22533-1) — free e-book through the Cornell Math Library
MATH 7710 - Topics in Probability Theory // fall 2024
Bishop, Christopher, Deep Learning: Foundations and Concepts
Murphy, Kevin, Probabilistic Machine Learning
MATH 7710 - Topics in Probability Theory // spring 2024
Fukushima, Oshima, and Takeda, Dirichlet Forms and Symmetric Markov Processes, 2nd edition, De Gruyter, 2011 (ISBN: 978-3-11-021808-4) — free e-book through the Cornell Math Library