Course Search Results

• MATH 4700: Stat Found in Machine Learning

  3.00 Credits

  Clemson University

  
  Combining concepts of statistics and programming, this course explores foundational machine learning methods, including regularized regression, dimension reduction, tree, neural networks. Preq: MATH 4020.
  ShareMATH 4700 - Stat Found in Machine Learning

• MATH 4800: Data Science Capstone

  3.00 Credits

  Clemson University

  
  This course facilitates the design and implementation of a project which makes concrete use of all aspects of data science, including identifying a data source, cleaning and organizing the data, conducting appropriate statistical analysis, and interpreting and reporting the results of the study in a standard scholarly form. Finding an appropriate project and data source with suitable characteristics for a data science-oriented study is an important component of the course. This course is intended to be taken in the final semester of degree progress. Preq: COMM 3130 and CPSC 2120 and MATH 4700.
  ShareMATH 4800 - Data Science Capstone

• MATH 4810: Seminar in Mathematics

  1.00 Credits

  Clemson University

  
  Attention is focused on mathematical areas in which nonroutine problems can be posed with comparative ease. Emphasis is on independent study and student use of previously acquired mathematical skills. Open to students by invitation only for a maximum of three credits. Preq: Consent of instructor.
  ShareMATH 4810 - Seminar in Mathematics

• MATH 4820: Undergraduate Research

  3.00 Credits

  Clemson University

  
  Independent research conducted under the supervision and guidance of a faculty member. May be repeated for a maximum of six credits. Includes Honors sections.
  ShareMATH 4820 - Undergraduate Research

• MATH 4830: Rsrch Exp Visiting Undergrads

  0.00 Credits

  Clemson University

  
  Research students carry out several weeks (the number varies by program) of mentored research under the direction of faculty in the mathematical sciences, and participate in professional development workshops to develop their research careers. Products include a presentation and written report. May be repeated for a maximum of 20 credits. Preq: Acceptance into summer research program in Mathematical Sciences.
  ShareMATH 4830 - Rsrch Exp Visiting Undergrads

• MATH 4910: Independent Study

  3.00 Credits

  Clemson University

  
  Independent study or internship in mathematical sciences under faculty supervision. A written report and oral poster presentation of the results of the independent study or internship are required. May be repeated for a maximum of six credits.
  ShareMATH 4910 - Independent Study

• MATH 4920: Professional Development

  1.00 Credits

  Clemson University

  
  Issues in professional development in the Mathematical Sciences. Individual portfolios are evaluated and critiqued for continued career use. To be taken Pass/No Pass only.
  ShareMATH 4920 - Professional Development

• MATH 4990: 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 4990 - CI in Mathematical Sciences

• MATH 6000: 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. Students are expected to have completed a Multivariable Calculus course before enrolling in this course.
  ShareMATH 6000 - Theory of Probability

• MATH 6020: 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.
  ShareMATH 6020 - Stats for Science and Engr II