ENG EK381: Probability, Statistics, and Data Science for Engineers

Prerequisites

ENG EK103 Computational Linear Algebra.

Description

Provides a strong foundation in probability and an introduction to statistics and machine learning. Includes experience with translating engineering problems into probabilistic models, and working with these models analytically and algorithmically. Prepares students for upper-level electives that use probabilistic reasoning. This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking.

Instructor

Yannis Paschalidis

Syllabus

EK 381 Syllabus – Fall 2018