MATH 117. College Algebra

Instructor(s):  Mario Borha

Required text(s):  Axler, Sheldon. Algebra and Trigonometry (packaged with WileyPLUS). 1st ed. ISBN-13: 978-0470470817. Hoboken, NJ: Wiley, 2012. Print.

Textbook notes:  Students are required to have access to WileyPLUS for this course. Students buying used textbooks should arrange to purchase WileyPLUS separately.

Prerequisites:  MATH 100 or Math Diagnostic Test

Course description:  Inverse functions, quadratic functions, complex numbers. Detailed study of polynomial functions including zeros, factor theorem, and graphs. Rational functions, exponential and logarithmic functions and their applications. Systems of equations, inequalities, partial fractions, linear programming, sequences and series. Word problems are emphasized throughout the course.

  

MATH 118. Precalculus

Instructor(s):  William C. Huffman

Required text(s):  Axler, Sheldon. Algebra and Trigonometry (packaged with WileyPLUS). 1st ed. ISBN-13: 978-0470470817. Hoboken, NJ: Wiley, 2012. Print.

Prerequisites:  MATH 117 or Math Diagnostic Test

Course description:  Functions and change with an emphasis on linear, quadratic, exponential, and logarithmic functions and their graphs. Specific geometric topics include concavity and how transformations affect graphs. Topics in trigonometry include radians, sinusoidal functions, identities, sum/difference formulas, double/half angle formulas, and trigonometric equations. Other topics include polar coordinates.

  

MATH 131. Applied Calculus I

Instructor(s):  Christine Haught

Required text(s):  D. Hughes-Hallett, A. Gleason, et al, Applied Calculus with WileyPlus, 4th edition, Wiley (2009), ISBN 978-0-47-057877-3

Textbook notes:  Alternatively, a student may purchase only WileyPlus since an online version of the entire textbook is included. Make sure any online purchase includes WileyPlus. The ISBN number given may not include WileyPlus if you order this book online.

Additional notes:  TI-84 Plus graphing calculator or equivalent is strongly recommended

Prerequisites:  Math 118 (Precalculus) with a grade of "C-" or better, or appropriate score on the Math Diagnostic Test

Course description:  An introduction to differential and integral calculus, with an emphasis on applications. This course is intended for students in the life and social sciences, computer science, and business. Topics include: modeling change using functions including exponential and trigonometric functions, the concept of the derivative, computing the derivative, applications of the derivative to business and life, social, and computer sciences, and an introduction to integration. This course is not a substitute for Math 161

  

MATH 131. Applied Calculus I

Required text(s):  D. Hughes-Hallett, A. Gleason, et al, Applied Calculus with WileyPlus, 4th edition, Wiley (2009), ISBN 978-0-47-057877-3

Textbook notes:  Alternatively, a student may purchase only WileyPlus since an online version of the entire textbook is included. Make sure any online purchase includes WileyPlus. The ISBN number given may not include WileyPlus if you order this book online.

Additional notes:  TI-84 Plus graphing calculator or equivalent is strongly recommended

Prerequisites:  Math 118 (Precalculus) with a grade of "C-" or better, or appropriate score on the Math Diagnostic Test

Course description:  An introduction to differential and integral calculus, with an emphasis on applications. This course is intended for students in the life and social sciences, computer science, and business. Topics include: modeling change using functions including exponential and trigonometric functions, the concept of the derivative, computing the derivative, applications of the derivative to business and life, social, and computer sciences, and an introduction to integration. This course is not a substitute for Math 161

  

MATH 161. Calculus I

Required text(s):  Thomas, George B., Maurice D. Weir, and Joel R. Hass. Thomas' Calculus: Early Transcendentals (Single Variable) (packaged with MyMathLab). 12th ed. ISBN-13: 978-0321705402. Boston: Addison-Wesley, 2009. Print.

Textbook notes:  Students are required to have access to MyMathLab for this course. Students buying used textbooks should arrange to purchase MyMathLab separately.

Prerequisites:  MATH 118 or Math Diagnostic Test

Course description:  A traditional introduction to differential and integral calculus. Functions, limits, continuity, differentiation, intermediate and mean-value theorems, curve sketching, optimization problems, related rates, definite and indefinite integrals, fundamental theorem of calculus, logarithmic and exponential functions. Applications to physics and other disciplines.

  

STAT 103. Fundamentals of Statistics

Instructor(s):  Gregory Blair

Required text(s):  Freedman, David, Robert Pisani, and Roger Purves, Statistics. 4th ed. ISBN-13: 978-0393929720. New York: W. W. Norton & Company, 2007. Print.

Sections 003 and 004 [Dr. Adam Spiegler] will use the following text:

Lock, Robin H. et al. Statistics: Unlocking the Power of Data. ISBN-13: 978-0470601877. Hoboken, NJ: Wiley, 2012.

Prerequisites:  None

Course description:  An introduction to statistical reasoning. Students learn how statistics has helped to solve major problems in economics, education, genetics, medicine, physics, political science, and psychology. Topics include: design of experiments, descriptive statistics, mean and standard deviation, the normal distribution, the binomial distribution, correlation and regression, sampling, estimation, and testing of hypothesis. A TI-83 (or equivalent) calculator is required for this course.

  

STAT 335. Introduction to Biostatistics

Instructor(s):  Bret Longman

Required text(s):  Myra L. Samuels, Jeffrey A. Witmer, and Andrew A. Schaffner, Statistics for the Life Sciences, Prentice Hall, 4th edition Prentice Hall (2012), ISBN: 10: 0-321-65280-0; 13: 978-0-32165280-5

Prerequisites:  Calculus II (Math 162 or 132); Introduction to Biology II (Biol 102)

Course description:  An introduction to statistical methods used in designing biological experiments and in data analysis. Topics include frequency distributions, probability and sampling distribution, design of biological experiments, interval estimation, tests of hypotheses, analysis of variance, correlation and regression. This course will have two quizzes, two exams, regularly assigned homework, a course project, and computer laboratory assignments in MINITAB with biological data.