MATH 4544/6544, Biol 4744/6744 – Learning Outcomes

Title: Biostatistics

  • Students will be able to use descriptive statistics to analyze categorical and continuous data.
  • Students will have the ability to use a popular statistical analysis software package, such as SAS, Excel.
  • Students will understand measures of validity of medical test results including sensitivity, specificity, predictive value and others in practice.
  • Students will understand the basic concept of probability theory.
  • Students will understand the most commonly used discrete and continuous probability distributions.
  • Students will understand how to design randomized clinical trials.
  • Students will be able to construct confidence intervals for population proportions, means and variances.
  • Students will be able to interpret and draw conclusions from the results of hypothesis testing.
  • Students will be able to make comparisons by using two-sample inference.
  • Students will understand real problems and then appropriately use data analysis, statistical methods and computer software in solving the problems.
  • Students will be able to appreciate the role of statistics in medicine and biological science.
  • Students will know when and how to apply basic biostatistical methods.

Assessment of Learning Outcomes

Assessment of Student Learning will be accomplished by utilizing assessment tools such as Quizzes, Homework Assignments, Written Exams, and Computer project.

  • Quizzes are used to assess students’ understanding of newly presented topics and previously covered material.
  • Homework Assignments serve as both learning and assessment tools for understanding and getting familiar with the materials covered in class.
  • Written Exams will be taken to evaluate the effectiveness of students learning. The exams provide opportunities for students to apply the statistical methods learned in class in the fields of medicine and biological science.
  • Computer project is designed for students to assess the ability to define a problem and determine appropriate use of data mining and statistical methods for solving the problem.