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• MATH 214: Probability and Statistics for Business Majors

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Designed to introduce the study of probability theory, discrete random variables and probability distributions, empirical frequency distributions, theoretical frequency distributions, statistical investigations and sampling, and sampling distributions.
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• MATH 216: Probability and Statistics for Natural Sciences

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Frequency distributions; graphical representations of data; measures of entral tendency and variation; correlation and regression; probability; probability distributions; sampling distributions. Inferential statistics including confidence intervals and parmetric and nonparametric tests of hypotheses. Emphasis will be on applications in the natural sciences using graphing calculators and statistical software. Prerequisite:    MATH 121 or 125
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• MATH 217: Probability and Statistics

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  An applied statistics course that uses basic statistical methodologies to explore data and answer research questions. Summarization, analysis and interpretation of data from the social sciences and other related areas. Topics include frequency distributions, graphical summaries, elementary probability, estimation, testing hypotheses, and correlation and regression. Emphasis upon applications using appropriate technology, as opposed to theoretical development of topics.
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• MATH 225: Calculus III for Physics, Chemistry, and Mathematics

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  The third of a three semester sequence for math and science majors. Topics covering the calculus of functions of several variables include: vector functions and space curves arc length, curvature, partial derivatives, gradients, areas and volumes in various coordinate systems, Lagrange multipliers, line integrals, Green's Theorem, and applications of multiple integrals. (Trigonometric, exponential and logarithmic functions are included throughout the course.) Prerequisite:    MATH 126 or the equivalent
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• MATH 271: Introduction to Mathematical Proofs I

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Gives student basic ideas of necessary to prove results in mathematics. Includes but is not limited to logic of mathematics, basic methods of proof, algebra of sets, equivalence relations and partitions of sets, functions, and mathematical induction. Prerequisite:    MATH 121 or 125; 171
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• MATH 272: Introduction to Mathematical Proofs II

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  A further study of the basic ideas of contemporary mathematics. Topics include but are not limited to mathematical induction, cardinality of sets, relations, methods of proof in number theory, analysis, and algebra. Prerequisite:    MATH 126 and 271 with a grade of C or better
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• MATH 281: Special Topics

  1.00 - 4.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Special Topic courses are offered on an experimental or temporary basis to explore topics that are not included in the established curriculum. A given topic may be offered under any special topic identity no more than three times. Special topics numbered 281 are offered primarily for lower-level undergraduate students.
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• MATH 309: Discrete Mathematics

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Topics include set algebra, mappings, relations, semigroups, groups, directed andundirected graphs, Boolean algebra, and propositional logic, with examples andapplications of these various areas of computer science. Emphasizes developing an intuitiveunderstanding of basic structures rather than formal theories and influence of these topicson theory and practice of computing. Prerequisite:    COSC 110 and MATH 121 or 125
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• MATH 316: Data Science Fundamentals

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Introduces the field of data science by covering the methodology in which data-intensive problems are identified, defined, and solved. Investigates data analysis and data mining techniques for finding patterns in data that emphasize using data models, data gathering and storage, selection and preparing of data, model building and testing, and interpreting and validating results. Utilizes hands-on experiences with data science tools and techniques, specific topics include map-reduce and mining data streams. Includes techniques for visualizing patterns in data, including interactive visualization. Prerequisite:    COSC 341 and one of MATH 214 or MATH 216 or MATH 217
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• MATH 317: Probability and Statistics for Mathematics Instruction

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Introduces students to concepts of probability and statistics by exploring and discovering key ideas related to data analysis and making predictions. Appropriate technology is incorporated. Explores curricular materials, resources, and activities relevant to teaching diverse groups at the middle and secondary levels.
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