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Textbook assignments for fall 2021, spring 2022, and summer 2022 are listed below. The Cornell Store offers a wide variety of options for purchase or rental (new books, used books, and e-books) both in store and through their web site.
Thanks to the Cornell Mathematics Library, free versions of textbooks are available (and linked below) for many upper-level and graduate courses in mathematics.
MATH 1002 - PSSP Calculus Preparation and Quantitative Methods // summer 2022
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 2022
Lial, Greenwell, and Ritchey, Finite Mathematics, 11th edition, Pearson Education, 2016 (ISBN: 978-0-321-97943-8).
MATH 1101 - Calculus Preparation // fall 2021
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 2021
Lial, Greenwell, and Ritchey, Finite Mathematics, 11th edition, Pearson Education, 2016 (ISBN: 978-0-321-97943-8) — Instant Access through Canvas
(optional) Lial, Greenwell, and Ritchey, Student's Solutions Manual for Finite Mathematics, 11th edition, Pearson Education, 2016 (ISBN: 978-0-321-99742-5).
MATH 1106 - Modeling with Calculus for the Life Sciences // spring 2022
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 // fall 2021, spring 2022, summer 2022
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 2021, spring 2022
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 1300 - Mathematical Explorations // fall 2021
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 1340 - Strategy, Cooperation, and Conflict // spring 2022
Taylor and Pacelli, Mathematics and Politics, 2nd edition, Springer-Verlag, 2009 (ISBN: 0-387-77643-9) — free e-book available through the Cornell Math Library
MATH 1710 - Statistical Theory and Application in the Real World // fall 2021, spring 2022
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 // fall 2021, spring 2022, summer 2022
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 // fall 2021, spring 2022, summer 2022
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 2130 - Calculus III // spring 2022
Shimamoto, Don, Multivariable Calculus, 2019 (ISBN: 978-1-7082-4699-0).
MATH 2210 - Linear Algebra // fall 2021, spring 2022
W. Keith Nicholson, Linear Algebra with Applications, Version 2021 Revision A (Open Edition)
MATH 2220 - Multivariable Calculus // fall 2021
Marsden and Tromba, Vector Calculus, 6th edition, W. H. Freeman, 2013 (ISBN: 1-4292-1508-9) — Instant Access through Canvas
MATH 2220 - Multivariable Calculus // spring 2022
Shimamoto, Don, Multivariable Calculus, 2019 (ISBN: 978-1-7082-4699-0).
MATH 2230 - Theoretical Linear Algebra and Calculus // fall 2021
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 2022
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 with Applications // fall 2021
Strang, Gilbert, Introduction to Linear Algebra, 5th edition, Wellesley-Cambridge Press, 2016 (ISBN: 978-0-9802327-7-6).
MATH 2930 - Differential Equations for Engineers // summer 2022
Boyce, DiPrima, and Meade, Elementary Differential Equations and Boundary Value Problems, 12th edition, John Wiley & Sons, 2021 (ISBN: 978-1-119-77769-4) — Instant Access through Canvas
MATH 2930 - Differential Equations for Engineers // fall 2021, spring 2022
Boyce, DiPrima, and Meade, Elementary Differential Equations and Boundary Value Problems, 11th edition, John Wiley & Sons, 2017 (ePub ISBN: 978-1-119-38164-8) — Instant Access through Canvas
MATH 2940 - Linear Algebra for Engineers // fall 2021, spring 2022, summer 2022
Lay, Lay, and McDonald, Linear Algebra and its Applications, 5th edition, Pearson Education, 2016 (ISBN: 978-0-321-98238-4) — Instant Access through Canvas
MATH 3040 - Prove It! // fall 2021, spring 2022
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 2022
Abbott, Stephen, Understanding Analysis, 2nd edition, Springer-Verlag, 2002 (ISBN: 978-1-4939-2711-1) — free e-book through the Cornell Math Library
MATH 3110 - Introduction to Analysis // fall 2021
Mattuck, Arthur, Introduction to Analysis, CreateSpace Independent Publishing, 2013 (ISBN: 978-148484116) — first three chapters available here
MATH 3210 - Manifolds and Differential Forms // fall 2021
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 3230 - Introduction to Differential Equations // fall 2021
Braun, Martin, Differential Equations and Their Applications, 3rd edition, Springer, 1983 (ISBN: 387-90806-4) — free e-book through the Cornell Math Library
Olver, Peter, Introduction to Partial Differential Equations, Springer, 2014 (ISBN: 978-3-319-02098-3) — free e-book through the Cornell Math Library
MATH 3320 - Introduction to Number Theory // fall 2021, spring 2022
Weissman, Martin, An Illustrated theory of Numbers, American Mathematical Society, 2017 (ISBN: 978-1-4704-3493-9).
MATH 3340 - Abstract Algebra // spring 2022
Beachy and Blair, Abstract Algebra, 4th edition, Waveland Press, Inc., 2019 (ISBN: 978-1-4786-3869-8) — Instant Access through Canvas
MATH 3360 - Applicable Algebra // spring 2022
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
MATH 3610 - Mathematical Modeling // fall 2021
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 4030 - History of Mathematics // spring 2022
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 4130 - Honors Introduction to Analysis I // spring 2022
Edwards, C. H. Jr., Advanced Calculus of Several Variables, Dover Publications, 1995 (ISBN: 978-0-486-68336-2).
MATH 4130 - Honors Introduction to Analysis I // fall 2021
Strichartz, Robert, The Way of Analysis (revised edition), Jones & Bartlett Publishers, 2000 (ISBN: 0-7637-1497-6).
MATH 4140 - Honors Introduction to Analysis II // spring 2022
Strichartz, Robert, The Way of Analysis (revised edition), Jones & Bartlett Publishers, 2000 (ISBN: 0-7637-1497-6).
MATH 4180 – Complex Analysis // spring 2022
Marsden and Hoffman, Basic Complex Analysis, 3rd edition, W.H. Freeman, 1998 (ISBN: 978-1-4641-5219-1).
MATH 4200 - Differential Equations and Dynamical Systems // fall 2021
Hirsch, Smale, and Devaney, Differential Equations, Dynamical Systems, and an Introduction to Chaos, 3rd edition, Elsevier Science & Technology Books, 2012 (ISBN: 978-0-12-382010-5) — free e-book through the Cornell Math Library
MATH 4210 - Nonlinear Dynamics and Chaos // spring 2022
Strogatz, Steven H., Nonlinear Dynamics and Chaos with applications to Physics, Biology, Chemistry, and Engineering, 2nd edition, Westview Press, 2014 (ISBN: 978-0-8133-4910-7)
MATH 4220 - Applied Complex Analysis // fall 2021
Saff and Snider, Fundamentals of Complex Analysis with Applications to Engineering, Science, and Mathematics, 3rd edition, Prentice Hall PTR, 2003 (ISBN: 978-0-13-907874-3) — Instant Access through Canvas
MATH 4250 - Numerical Analysis and Differential Equations // fall 2021
Kincaid and Cheney, Numerical Analysis: Mathematics of Scientific Computing, 3rd edition (revised), American Mathematical Society, 2009 (ISBN: 978-0-8218-4788-6).
(optional) Moler, Cleve, Numerical Computing with MATLAB, SIAM, 2004 (ISBN: 0-89871-560-1) — free through MathWorks
MATH 4280 - Introduction to Partial Differential Equations // spring 2022
Strauss, Walter, Partial Differential Equations: An Introduction, 2nd edition, John Wiley & Sons, 2007 (ISBN: 0-470-05456-5) — Instant Access through Canvas
MATH 4310 - Linear Algebra // fall 2021, spring 2022
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 2021
Dummit and Foote, Abstract Algebra, 3rd edition, John Wiley & Sons, 2004 (ISBN: 0-471-43334-9).
MATH 4340 - Honors Introduction to Algebra // spring 2022
Dummit and Foote, Abstract Algebra, 3rd edition, John Wiley & Sons, 2004 (ISBN: 0-471-43334-9).
MATH 4370 - Computational Algebra // fall 2021
Cox, Little, and O'Shea, Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 4th edition, Springer, 2015 (ISBN: 978-3-319-16720-6) — free e-book through the Cornell Math Library
MATH 4410 - Introduction to Combinatorics I // fall 2021
Brualdi, Richard, Introductory Combinatorics (Classic Version), 5th edition, Pearson Education, 2010 (ISBN: 978-0-13-468961-6).
MATH 4420 - Introduction to Combinatorics II // spring 2022
Stanley, Richard P., Algebraic Combinatorics: Walks, Trees, Tableaux, and More, Springer, 2018 (ISBN: 978-1-4899-9285-7) — free e-book through the Cornell Math Library
MATH 4500 - Matrix Groups // spring 2022
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 2021
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 4530 - Introduction to Topology // fall 2021
Bredon, Glen, Topology and Geometry, Springer, 1993 (ISBN: 978-0-387-97926-7) — free e-book through the Cornell Math Library
MATH 4540 - Introduction to Differential Geometry // spring 2022
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 // fall 2021, spring 2022
Anderson, Seppalainen, and Valko, Introduction to Probability, Cambridge University Press, 2017 (ISBN: 978-1-108-41585-9) — Instant Access through Canvas
MATH 4720 - Statistics // spring 2022
DeGroot and Schervish, Probability and Statistics, 4th edition, Pearson Education, 2010 (ISBN: 978-0-321-50046-5) — Instant Access through Canvas
MATH 4740 - Stochastic Processes // spring 2022
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 5250 - Numerical Analysis and Differential Equations // fall 2021
Kincaid and Cheney, Numerical Analysis: Mathematics of Scientific Computing, 3rd edition (revised), American Mathematical Society, 2009 (ISBN: 978-0-8218-4788-6).
(optional) Moler, Cleve, Numerical Computing with MATLAB, SIAM, 2004 (ISBN: 0-89871-560-1) — free through MathWorks
MATH 5410 - Introduction to Combinatorics I // fall 2021
Brualdi, Richard, Introductory Combinatorics (Classic Version), 5th edition, Pearson Education, 2010 (ISBN: 978-0-13-468961-6).
MATH 5420 - Introduction to Combinatorics II // spring 2022
Stanley, Richard P., Algebraic Combinatorics: Walks, Trees, Tableaux, and More, Springer, 2018 (ISBN: 978-1-4899-9285-7) — free e-book through the Cornell Math Library
MATH 6110 - Real Analysis // fall 2021
Stein and Shakarchi, Real Analysis: Measure Theory, Integration, and Hilbert Spaces, Princeton University Press, 2005 (ISBN: 0-691-11386-6).
Stein and Shakarchi, Functional Analysis: Introduction to Further Topics in Analysis, Princeton University Press, 2011 (ISBN: 978-0-691-11387-6).
Stein and Shakarchi, Fourier Analysis: An Introduction, Princeton University Press, 2003 (ISBN: 0-691-11384-X).
MATH 6120 - Complex Analysis // spring 2022
Gamelin, Theodore W., Complex Analysis, Springer, 2000 (ISBN: 0-387-95069-9) — free e-book through the Cornell Math Library
MATH 6150 - Partial Differential Equations // spring 2022
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 2021
Bartle, Robert, The Elements of Integration and Lebesgue Measure, John Wiley & Sons, 1966 (ISBN: 0-471-04222-6) — free e-book through the Cornell Math Library
MATH 6220 - Applied Functional Analysis // spring 2022
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6310 - Algebra // fall 2021
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6320 - Algebra // spring 2022
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6340 - Commutative Algebra with Applications in Algebraic Geometry // fall 2021
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6350 - Homological Algebra // spring 2022
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6370 - Algebraic Number Theory // spring 2022
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6410 - Enumerative Combinatorics // spring 2022
Stanley, Richard, Enumerative Combinatorics, Vol. I, 2nd edition, Cambridge University Press, 2011 (ISBN: 1-107-60262-9).
MATH 6510 - Algebraic Topology // spring 2022
Hatcher, Allen, Algebraic Topology, Cambridge University Press, 2001 (0-521-79540-0).
MATH 6520 - Differentiable Manifolds // fall 2021
Lee, John M., Introduction to Smooth Manifolds, 2nd edition, Springer, 2012 (ISBN: 978-1-4419-9981-8) — free e-book through the Cornell Math Library
MATH 6540 - Homotopy Theory // spring 2022
No required textbook. The instructor may provide notes, references, or links to on-line resources.
MATH 6640 - Hyperbolic Geometry // fall 2021
Martelli, Bruno, An Introduction to Geometric Topology, CreateSpace Independent Publishing, 2016 (ISBN: 978-1-5395-8023-2).
MATH 6670 - Algebraic Geometry // spring 2022
Shafarevich, Igor R., Basic Algebraic Geometry, Vol 1: Varieties in Projective Space, 3rd edition, Springer-Verlag, 2013 (978-3-642-42726-8) — free e-book through the Cornell Math Library
(optional) Harris, Joe, Algebraic Geometry: A First Course, Springer, 1992 (978-1-4419-3099-6) — free e-book through the Cornell Math Library
MATH 6710 - Probability Theory I // fall 2021
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 2022
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 6740 - Mathematical Statistics II // fall 2021
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 6830 - Model Theory // spring 2022
Tent and Ziegler, A Course in Model Theory, Cambridge University Press, 2012 (ISBN: 978-0-521-76324-0) — free e-book through the Cornell Math Library
MATH 6840 - Recursion Theory // fall 2021
Soare, Robert I., Turing Computability: Theory and Applications, Springer, 2016 (ISBN: 978-3-642-31932-7) — free e-book through the Cornell Math Library
MATH 7710 - Topics in Probability // spring 2022
Lyons and Peres, Probability on Trees and Networks, Cambridge University Press, 2016 (ISBN: 978-1-107-16015-6).