BUAN 4061: Advanced Business Analytics

Schedule and Syllabus

This is the syllabus for the Spring 2023 iteration of the course.

Session Date

Description

Readings

Task (see D2L for deadlines)

Jan 18

  • Introduction
  

Jan 23

  • Python basics (I)

NB. 1

 

Jan 25

  • Python basics (II)

NB. 2

  • Quiz 1

Jan 30

  • Numpy

NB. 3

 

Feb 1

  • Group Formation
  

Feb 6

  • Pandas (I)

NB. 4

 

Feb 8

  • Pandas (II)

NB. 5

  • Assignment 1

Feb 13

  • Neural Networks (I)

Ch. 1

 

Feb 15

  • Neural Networks (II)
 
  • Assignment 2

Feb 20

  • Image Classification (I)

Ch. 2

 

Feb 22

  • Image Classification (II)
  

Feb 27

  • Convolutional Neural Networks (I)

Ch. 3

 

Mar 1

  • Convolutional Neural Networks (II)
 
  • Quiz 2

Mar 6

  • Exam I review
  

Mar 8

  • Exam I
  

Mar 13

  • Spring Break
  

Mar 15

  • Spring Break
  

Mar 20

  • Using Public Datasets (I)

Ch. 4

 

Mar 22

  • Using Public Datasets (II)
 
  • Quiz 3
  • Assignment 3

Mar 27

  • Natural Language Processing (I)

Ch. 5

  • Group Project Phase I

Mar 29

  • Natural Language Processing (II)
  

Apr 3

  • Natural Language Processing (III)

Ch. 6

 

Apr 5

  • Natural Language Processing (IV)
  

Apr 10

  • Easter Break
  

Apr 12

  • Recurrent Neural Networks (I)

Ch. 7

 

Apr 17

  • Recurrent Neural Networks (II)
 
  • Quiz 4
  • Assignment 4

Apr 19

  • Exam II review
  

Apr 24

  • Exam II
  

Apr 26

  • Human Biases and AI Ethics (I)

Ch. 20

  • Quiz 5

May 1

  • Human Biases and AI Ethics (II)
 
  • Quiz 6

May 3

  • Project Presentations
 
  • Group Project Phase II
  • Group Project Presentation
 
  • This course does not have a final exam
  



Name:Kambiz Saffarizadeh
Office:O’Brien Hall, 448H
Email:kambiz.saffari@marquette.edu
Office Hours:Mondays and Wednesdays, 12:30 to 1:30 PM or by appointment

BUAN 4061 – Advanced Business Analytics (Spring 2023)

Class (101). Monday and Wednesday, 2:00 PM – 3:15 PM – Location: O’Brien Hall 224