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Tom Edgar Professor of Mathematics he/him/his Phone: 253-535-7238 Email: edgartj@plu.edu Office Location: Morken Center for Learning & Technology - 256 Curriculum Vitae: View my CV Professional Biography Additional Titles/Roles Editor of Math Horizons magazine Education Ph.D., Mathematics, University of Notre Dame, 2009 M.S., Mathematics, Colorado State University, 2004 B.S., Mathematics, Dickinson College, 2002 Areas of Emphasis or Expertise Abstract Algebra (Group Theory) Algebraic
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, graphing and the solving of triangles. Appropriate as preparation for Math 123, 128 and 140. Prerequisite: PLU math placement exam and two years of high school algebra. (4) MATH 123 : Modern Elementary Mathematics I: Number Sense and Algebraic Sense - QR Numeration systems and concepts underlying traditional computations. Field axioms, number theory, set theory. Patterns and variables, functions, proportionality, linear versus exponential growth. Emphasis on conceptual understanding of mathematics
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, identities, graphing and solution of triangle. Appropriate as preparation for Math 123, 128 and 140. Prerequisite: PLU math placement exam and two years of high school algebra. (4) MATH 123 : Modern Elementary Mathematics I: Number Sense and Algebraic Sense - MR, NS Numeration systems and concepts underlying traditional computations. Field axioms, number theory, set theory. Patterns and variables, functions, proportionality, linear versus exponential growth. Emphasis on conceptual understanding of
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Kenneth Blaha Professor of Computer Science he/him/his Phone: 253-535-8702 Email: blahakd@plu.edu Status:Phased Retirement Website: https://cs.plu.edu/~blahakd/ Professional Education Ph.D., University of Oregon, 1989 M.S., Computer Science, University of Oregon, 1984 M.S., Mathematics, University of Oregon, 1981 B.A., University of Minnesota, Morris, 1978 Areas of Emphasis or Expertise Computational Complexity Algebraic Algorithms Computer Science Education
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Course Title CSCI 115 Solve It With the Computer - QR CSCI 120 Computerized Information Systems - QR CSCI 144 Introduction to Computer Science - QR MATH 105 Mathematics of Personal Finance - QR MATH 107 Mathematical Explorations - QR MATH 115 College Algebra and Trigonometry - QR MATH 123 Modern Elementary Mathematics I: Number Sense and Algebraic Sense - QR MATH 124 Modern Elementary Mathematics II: Measurement, Geometric Sense, Statistics and Probability - QR MATH 128 Linear Models and
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review of algebra emphasizing problem solving skills. The notion of function is introduced via examples from polynomial, rational, trigonometric, logarithmic and exponential functions. We also explore inverse trigonometric functions, identities, graphing and the solving of triangles. Appropriate as preparation for Math 123, 128 and 140. Prerequisite: PLU math placement exam and two years of high school algebra. (4) MATH 123 : Modern Elementary Mathematics I: Number Sense and Algebraic Sense - QR
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following courses: DATA 133: Introduction to Data Science I (4) CSCI 144: Introduction to Computer Science (4) MATH 123: Modern Elementary Mathematics I: Number Sense and Algebraic Sense (4) MATH 145: Statistics for Biologists (4) MATH 151: Calculus I (4) MATH 152: Calculus II (4) MATH 242: Introduction to Mathematical Statistics (4) MATH 321: Geometry (4) MATH/EDUC 446: Mathematics in the Secondary School (4)
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mathematics, conduct evening help sessions, grade mathematics homework assignments, and coach/tutor public school students in the Mathlete Coaching Program.How do I Become a Statistician?To become a statistician, you must first develop a strong background in the field of mathematics. Once you have a thorough grounding in topics such as calculus and linear algebra, you may begin courses in probability theory, statistical analysis, regression analysis, and even combinatorics. These classes will vary between
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and physics from Pomona College. Subsequently, he earned an M.S. and a Ph.D. in mathematics from the real UW — the University of Wisconsin at Madison. His mathematics research interests lie at the intersection of graph theory, matrix theory and combinatorics. In addition, he has published work in optimization, statistics and finance. His finance interests include financial asset valuation modeling and the unintended consequences of management and regulatory policy. He has authored more than
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2018 Mathematics Capstone SymposiumMay 4th and May 5th Join the Mathematics Department to hear the senior capstone presentations. Student presentations will take place Friday and Saturday. Talks are scheduled in Morken 214 and 216. Friday, May 4th3:00pm – The Combinatorial Design of Kirkman’s Schoolgirls Megan Hall This paper addresses the “Kirkman’s Schoolgirls” combinatorics problem: “Fifteen young ladies of a school walk out three abreast for seven days in succession: it is required to
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