BUAN 4061: Advanced Business Analytics

Schedule and Syllabus

This is the syllabus for the Spring 2022 iteration of the course.

Week Session Date Description Readings Due
1 Jan 24
  • Introduction
Jan 26
  • Python basics (I)
NB. 1
2 Jan 31
  • Python basics (II)
NB. 2
Feb 2
  • Numpy and Pandas (I)
NB. 3
  • Quiz 1
3 Feb 7
  • Numpy and Pandas (II)
NB. 4
Feb 9
  • Numpy and Pandas (III)
NB. 5
4 Feb 14
  • Neural Networks (I)
Ch. 1&2
  • Assignment 1
Feb 16
  • Neural Networks (II)
5 Feb 21
  • Convolutional Neural Networks (I)
Ch. 3
Feb 23
  • Convolutional Neural Networks (II)
  • Quiz 2
6 Feb 28
  • Convolutional Neural Networks (III)
  • Assignment 2
Mar 2
  • Convolutional Neural Networks (IV)
7 Mar 7
  • Midterm Review
Mar 9
  • Midterm Exam
8 Mar 14
  • Spring Break
Mar 16
  • Spring Break
9 Mar 21
  • Using Public Datasets (I)
Ch. 4
Mar 23
  • Using Public Datasets (II)
  • Quiz 3
10 Mar 28
  • Natural Language Processing (I)
Ch. 5
  • Assignment 3
  • Group Formation
Mar 30
  • Natural Language Processing (II)
11 Apr 4
  • Natural Language Processing (III)
Ch. 6
Apr 6
  • Natural Language Processing (IV)
  • Quiz 4
12 Apr 11
  • Recurrent Neural Networks (I)
Ch. 7
  • Assignment 4
  • Group Project Phase I
Apr 13
  • Recurrent Neural Networks (II)
13 Apr 18
  • Easter Break
Apr 20
  • Generative Adversarial Networks
14 Apr 25
  • Human Biases and AI Ethics (I)
Ch. 20
Apr 27
  • Human Biases and AI Ethics (II)
  • Quiz 5
15 May 2
  • Course Wrap-Up
May 4
  • No Class (Group Project Meetings)
16 May 9
  • Project Presentations
  • Group Project Phase II
  • Group Project Presentation
May 11
  • Final Exam(10:30 AM – 12:30 PM; David Straz Hall 465)
Name:Kambiz Saffarizadeh
Office:David Straz Hall, Room 228
Email:kambiz.saffari@marquette.edu
Office Hours:Tuesdays 1 PM to 5 PM or by appointment

BUAN 4061 – Advanced Business Analytics (Spring 2022)

Class (101). Monday and Wednesday, 2:00 PM – 3:15 PM – Location: David Straz Hall 465