logo

Probability and Statistics for Science and Engineering (MATH 2700)

This course explores the mathematical theory of probability and statistics and is intended for students in Science, Engineering, Computer Science and Business degree programs. Students are introduced to the concepts of descriptive statistics, laws of probability, probability distributions for discrete, continuous and jointly distributed random variables, laws of expectation, estimation, hypothesis testing, correlation and regression.

Pre-requisites: MATH 1200 with a C- or equivalent.

course outline


* Note: The CRNs listed below could be restricted to specific program areas.

CRN Fee Campus - Room Day(s) Time Date Instructor
44980
BWY-B  - TBATo Be Assigned
WFM-Monday, T-Tuesday,
W-Wednesday, R-Thursday,
F-Friday, S-Saturday,
U-Sunday

0830 - 1029
02-Jan-2019
to 18-Apr-2019
Karunanayaka, Ruwan

To register for this course, check the information for your program: