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MATH 1611: Introductory Discrete Mathematics
3.00 Credits
Seton Hall University
Basic counting rules, permutations, combinations, Pigeonhole principle, inclusion-exclusion, generating functions, recurrence relations, graphs, digraphs, trees and algorithms. Corequisite: MATH 1511. 3 credits
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MATH 2111: Statistics for Science Majors
4.00 Credits
Seton Hall University
Oriented toward direct application to research problems in the sciences. Collecting and organizing data, design of experiments, statistical tests and procedures used in accepting or rejecting a given hypothesis. A discursive treatment of the probability theory necessary to understand statistical tests is included but minimized. Emphasis on statistical inference and developing an awareness of statistical methods in a given situation. Prerequisite: MATH 1401. 4 credits
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MATH 2411: Calculus III
4.00 Credits
Seton Hall University
Elements of solid analytic geometry, parametric equations, vector-valued functions, partial differentiation, multiple integrals, line integrals and surface integrals. Applications using computer software packages. Prerequisite: MATH 1411. 4 credits
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MATH 2411 - Calculus III
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MATH 2511: Honors Calculus III
4.00 Credits
Seton Hall University
Vectors in space, vector-valued functions, partial differentiation, multiple integrals, vector analysis, and line and surface integrals. Applications using computer software packages. Emphasis on theory. Prerequisite: MATH 1511. 4 credits
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MATH 2611: Foundations of Higher Mathematics
3.00 Credits
Seton Hall University
The logical and set-theoretic foundations of mathematics and computer science. Introduction to mathematical logic and proof techniques. Elementary set theory, including numbers, sets, relations, functions, equivalence classes, partial orders, Boolean algebras and cardinality. Prerequisites: MATH 1511 and MATH 1611. 3 credits
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MATH 2813: Linear Algebra
4.00 Credits
Seton Hall University
Matrix algebra, determinants, solutions of systems of linear equations, Rn, abstract vector spaces, linear transformations, inner product spaces and eigenvectors. Prerequisites: MATH 2611. 4 credits
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MATH 2814: Special Topics:Introductory Linear Algebra and Computational Mathematics
3.00 Credits
Seton Hall University
Topics essential for computer science selected from traditional linear algebra and Calculus II. The material is presented in a constructive and algorithmic way to increase relevance for computer science students. The students will implement relevant mathematical algorithms in a programming language taught during the freshman or sophomore year. Students will acquire skills that are essential for designing efficient software applications, needed in industrial and scientific applications of computer science. Prerequisites: MATH 1501 or MATH 1611; and CSAS1114. 3 credits
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MATH 2814 - Special Topics:Introductory Linear Algebra and Computational Mathematics
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MATH 3094: Math Co-op I
3.00 Credits
Seton Hall University
See Co-op Adviser. 3 credits
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MATH 3094 - Math Co-op I
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MATH 3095: Math Co-op II
3.00 Credits
Seton Hall University
See Co-op Adviser. 3 credits
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MATH 3095 - Math Co-op II
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MATH 3096: Math Co-op III
3.00 Credits
Seton Hall University
See Co-op Adviser. 3 credits
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MATH 3096 - Math Co-op III
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