**COURSE DESCRIPTION: **This course will meet three times a week for combined lecture/lab sessions to intro-duce the basic concepts and methods of biostatistics. Concepts include: fundamentals of probability; foundations of statistical inference, confidence intervals, hypothesis tests, and sample size and power calculations. Students will also be introduced to the freely-available and powerful statistical software, R, for data exploration and analysis.

**REQUIRED MATERIALS**: No Textbook Required; Computer with R freeware installed

**RECOMMENDED MATERIALS**: Principles of Biostatistics (Second edition) by Marcello Pagano and Kimberlee Gauvreau, ISBN-13: 978-0534229023, ISBN-10: 0534229026.

**PREREQUISITES:** N/A

**STUDENT PREPARATION: **No specific background preparation needed. All students are expected to have a working knowledge of basic computers and college mathematics.

**SUITABLE FOR 1ST YEAR STUDENTS: **Yes. Required for all 1st year PhD and MSTP students, and 1st year PREP scholars.

**UNIQUE TRAINING OFFERED IN THIS COURSE: **Students will learn the fundamental concepts of biostatistics and gain proficiency in the R programming language. No overlap with existing courses.

**STUDENT ASSESSMENTS: **One take-home exam (80%) and web-based homework (20%).

**CREDIT HOURS:** 1.0