INTRODUCTION TO PROBABILITY II Syllabus
Course Learning ObjectivesUpon successful completion of this course, students will be able to: 1) state, prove, and apply the basic results of probability theory; 2) develop probability models for experiments; 3) apply asymptotic results to important statistical problems.
Introduces probability theory, including basic concepts in measure theory and probability; random variables and their distributions; moments of random variables and probability inequalities; moment-generating and characteristic functions; convergence concepts and limit theorems; transformation and order statistics.
Methods of Assessment
Grading Policy: Student evaluation based on homework and one exam per term.
Grading Restrictions: Letter grade
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: email@example.com, 410-955-3034, or 2017 E. Monument Street.