Probability and Statistics for ISP (383-0-20)

Instructors

Thomas A Severini
847.467.1254
2006 Sheridan Road/Room 305/Department of Statistics

Meeting Info

ISP Sem Rm 203 - 616 Noyes St: Mon, Wed, Fri 1:00PM - 1:50PM

Overview of class

An introduction to probability and statistics, emphasizing scientific examples and applications. Topics covered include probability functions, random variables, expectation and variance, basic limit theorems, parameter estimation, confidence intervals, hypothesis tests, linear and non-linear regression.

Registration Requirements

Ordinarily taken only by students in ISP; special permission required otherwise. Prerequisites: MATH 281-1,2,3; PHYSICS 125-1,2,3 Students may not receive credit for both 383 and any of 320-1; MATH 310-1, 383, 385; or EECS 302.

Learning Objectives

The basics of probability theory, statistical inference, and data analysis.

Evaluation Method

Grades will be based on weekly homework assignments, two in-class exams, and a take-home final assignment.

Class Materials (Required)

Course notes, which will be provided.

Class Attributes

Formal Studies Distro Area

Enrollment Requirements

Enrollment Requirements: ISP Majors

Associated Classes

DIS - ISP Sem Rm 203 - 616 Noyes St: Tues 1:00PM - 1:50PM