Course Search Results

• MATH 3990: CI in Mathematical Sciences

  1.00 Credits

  Clemson University

  
  In consultation with and under the direction of a faculty member, students pursue scholarly activities individually or in teams. These creative inquiry projects may be interdisciplinary. Arrangements with mentors must be established prior to registration. May be repeated for a maximum of three credits. Preq: Consent of faculty member/mentor.
  ShareMATH 3990 - CI in Mathematical Sciences

• MATH 4000: Theory of Probability

  3.00 Credits

  Clemson University

  
  Principal topics include combinatorial theory, probability axioms, random variables, expected values; special discrete and continuous distributions, jointly distributed random variables, correlation, conditional expectation, law of large numbers, central limit theorem. Includes Honors sections. Preq: MATH 2060 with a C or better.
  ShareMATH 4000 - Theory of Probability

• MATH 4020: Stats for Science and Engr II

  3.00 Credits

  Clemson University

  
  Principal topics include simple linear regression, multiple regression and correlation analysis, one-way analysis of variance, multiple comparison, multifactor analysis of variance, experimental design. Computation and interpretation of results are facilitated through use of statistical computer packages. Preq: MATH 3020 with a C or better.
  ShareMATH 4020 - Stats for Science and Engr II

• MATH 4030: Intro to Statistical Theory

  3.00 Credits

  Clemson University

  
  Principal topics include sampling distributions, point and interval estimation, maximum likelihood estimators, method of moments, least squares estimators, tests of hypotheses, likelihood ratio methods, regression and correlation analysis, introduction to analysis of variance. Includes Honors sections. Preq: MATH 4000 with a C or better.
  ShareMATH 4030 - Intro to Statistical Theory

• MATH 4060: Sampling Theory and Methods

  3.00 Credits

  Clemson University

  
  Probability-based treatment of sampling methodology. Theory and application of estimation techniques are treated using simple and stratified random sampling, cluster sampling, and systematic sampling. Preq: MATH 4000; and one of MATH 3020 or STAT 2300 or STAT 3090.
  ShareMATH 4060 - Sampling Theory and Methods

• MATH 4070: Regress & Time-Series Analysis

  3.00 Credits

  Clemson University

  
  Theory and application of the regression and time series. Approaches to empirical model building and data analysis are treated. Computation and interpretation of results are facilitated through the use of interactive statistical packages. Written and oral reports are required for students using this course as part of their capstone. Preq: MATH 3110 and MATH 4000; and one of MATH 3020 or STAT 2300 or STAT 3090.
  ShareMATH 4070 - Regress & Time-Series Analysis

• MATH 4080: Secondary Math Analysis

  3.00 Credits

  Clemson University

  
  In-depth exploration and analysis of important underlying ideas in the secondary mathematics curriculum. An emphasis is placed on reasoning and proof as students investigate topics in algebra, geometry, probability, statistics and calculus. Preq: MATH 2060 and MATH 3080.
  ShareMATH 4080 - Secondary Math Analysis

• MATH 4090: Design Experiment Science Engr

  3.00 Credits

  Clemson University

  
  A thorough treatment on the design and analysis of experiments. Topics include randomization and blocking, one- and higher-way ANOVA, Latin squares, full and fractional factorial designs, and orthogonal arrays. Preq: MATH 4070; or both MATH 3020 and MATH 3110.
  ShareMATH 4090 - Design Experiment Science Engr

• MATH 4100: Number Theory

  3.00 Credits

  Clemson University

  
  Introduction to theory of integers and related number systems. Topics include historical development, principle of mathematical induction, divisibility, primes, congruences, number-theoretic functions, primitive roots, quadratic residues, and diophantine equations. Preq: MATH 3190 with a C or better.
  ShareMATH 4100 - Number Theory

• MATH 4110: Introduction to Combinatorics

  3.00 Credits

  Clemson University

  
  Introductory course in combinatorial analysis. Topics include enumeration, graph theory, posets, and extremal combinatorics. Preq: MATH 3110 and MATH 3190, each with a C or better.
  ShareMATH 4110 - Introduction to Combinatorics