Page 171 of Boston College 2005-2006 University Catalog by Boston College University

MT 101 Calculus II (Fall/Spring: 4) Prerequisite: MT 100 Satisfies Mathematics Core Requirement MT 101 is not open to students who have completed MT 103 or MT 105. Students contemplating majors in Chemistry, Computer Science/B.S., Geology/Geophysics, Mathematics, or Physics should enroll in either MT 103 Calculus II for Math and Science Majors (Spring) or MT 105 Calculus II-AP for Math and Science Majors (Fall), rather than MT 101. MT 101 is a second course in the calculus of one variable intended for biology, computer science, economics, management, and premedical students. It is open to others who are qualified and desire a more rigorous mathematics course at the core level. Topics include an overview of integration, basic techniques for integration, a variety of applications of integration, and an introduction to (systems of) differential equations. MT 102 Calculus I (Mathematics/Science Majors) (Fall: 4) Prerequisite: Trigonometry Satisfies Mathematics Core Requirement Not open to students who have completed a calculus course at the college level. MT 102 is a first course in the calculus of one variable intended for Chemistry, Computer Science/B.S., Geology/Geophysics, Mathematics, and Physics majors. It is open to others who are qualified and desire a more rigorous calculus course than MT 100. Topics covered include the algebraic and analytic properties of the real number system, functions, limits, derivatives, and an introduction to integration. MT 103 Calculus II (Mathematics/Science Majors) (Spring: 4) Prerequisite: MT 102 Satisfies Mathematics Core Requirement Not open to a student who has completed MT 105. MT 103 is a continuation of MT 102. Topics covered in the course include several algebraic techniques of integration, many applications of integration, and infinite sequences and series. MT 105 Calculus II-AP (Math/Science Majors) (Fall: 3) Not open to students who have completed MT 103. MT 105 is a second course in the calculus of one variable intended for Chemistry, Computer Science/B.S., Geology/Geophysics, Mathematics, and Physics majors. It is designed for students who have completed either MT 101 or a year of Calculus in high school at either the AB or BC curriculum level, but who are not yet prepared to advance to MT 202 Multivariable Calculus. The course first reviews the primary techniques and interesting applications of integration. The remainder of the course provides an introduction to the topics of infinite sequences and series. Other topics may be introduced as time permits. MT 190 Fundamentals of Mathematics I (Fall/Spring: 3) Satisfies Mathematics Core Requirement Restricted to Lynch School of Education students MT 190-191 is a course sequence designed for those who plan to teach mathematics in grades K-9. The emphasis is on the content of mathematics in the emerging K-9 curriculum and its interface with current major issues in mathematics education problem solving and technology. Topics to be covered include the real number system with motivational activities and applications, functions and their graphs, problem solving with calculators and computers, and elements of probability and statistics. MT 191 Fundamentals of Mathematics II (Spring: 3) Prerequisite: MT 190 Satisfies Mathematics Core Requirement Restricted to Lynch School of Education students This course is a continuation of MT 190. MT 202 Multivariable Calculus (Fall/Spring: 4) Prerequisites: MT 103 or MT 105 or permission of instructor Satisfies Mathematics Core Requirement This course is for students majoring in Chemistry, Computer Science/B.S., Geology-Geophysics, Geophysics, Mathematics, and Physics, as well as other students who have completed integral Calculus. Topics in this course include vectors in two and three dimensions, analytic geometry of three dimensions, parametric curves, partial derivatives, the gradient, optimization in several variables, multiple integration with change of variables across different coordinate systems, line integrals, and Greens Theorem. MT 210 Linear Algebra (Fall/Spring: 3) This course is an introduction to the techniques of linear algebra in Euclidean space. Topics covered include matrices, determinants, systems of linear equations, vectors in n-dimensional space, complex numbers, and eigenvalues. The course is required of mathematics majors, but is also suitable for students in the social sciences, natural sciences, and management. MT 216 Introduction to Abstract Mathematics (Fall/Spring: 3) This course is designed to develop the students ability to do abstract mathematics through the presentation and development of the basic notions of logic and proof. Topics include elementary set theory, mappings, integers, rings, complex numbers, and polynomials. MT 226 Probability for Bioinformatics (Spring: 3) Prerequisite: Calculus through Integration (e.g., MT 101, MT 103, or MT 105) This course is designed for students majoring in Biology, Computer Science, and Mathematics who intend to pursue a concentration in Bioinformatics. It will cover topics from probability and stochastic processes theory. Examples will be taken when possible from biology and applications to bioinformatics will be stressed. The main goal will be to explain the probabilistic basis of popular techniques and algorithms used in bioinformatics, such as pairwise and multiple alignment of DNA or amino acid sequences. The course begins with introductory topics: axioms of probability, conditional probability, independence, Bayes Rule, random variables, moments, probability density functions, cumulative distribution functions, discrete and continuous distributions, moment generating functions, and entropy. Several stochastic processes will be studied including Poisson processes, random walks, Markov chains, higher Markov processes, and hidden Markov models. Daniel Chambers MT 235 Mathematics for Management Science (Fall/Spring: 3) Prerequisite: MT 100 or equivalent, CS 021 (formerly MC 021), and EC 151 (EC 151 may be taken concurrently). Topics include linear and integer programming, decision analysis, non-linear optimization, and computer solutions using Excel. 168 The Boston College Catalog 2005-2006 ARTS AND SCIENCES

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