Course information provided by the 2026-2027 Catalog.
Introduction to linear algebra, probability, and Markov chains that develops the parts of the theory most relevant for applications. Topics include equations of lines, the method of least squares, solutions of linear systems, matrices; basic concepts of probability, permutations, combinations, binomial distribution, mean and variance, and the normal approximation to the binomial distribution. Examples from biology and the social sciences are used.
Distribution Requirements (MQL-AG, OPHLS-AG), (SMR-AS)
Last 4 Terms Offered 2026SP, 2024FA, 2023FA, 2022FA
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials
required, for this section. Additional information may be found on the syllabus provided by your professor.
For the most current information about textbooks, including the timing and options for purchase, see the
Cornell Store.
Additional Information
Instruction Mode: In Person
Syllabi:
none
Regular Academic Session.
Credits and Grading Basis
3 Credits
Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
15849MATH 1105 LEC 002
Meeting Pattern
TR
Jan 25 - May 11, 2027
Instructors
Staff
To be determined. There are currently no textbooks/materials listed, or no textbooks/materials
required, for this section. Additional information may be found on the syllabus provided by your professor.
For the most current information about textbooks, including the timing and options for purchase, see the
Cornell Store.