Kambiz Saffarizadeh > Courses > BUAN4061 > Advanced Business Analytics – Spring 2022

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
1	Jan 26	Python basics (I)	NB. 1
2	Jan 31	Python basics (II)	NB. 2
2	Feb 2	Numpy and Pandas (I)	NB. 3	Quiz 1
3	Feb 7	Numpy and Pandas (II)	NB. 4
3	Feb 9	Numpy and Pandas (III)	NB. 5
4	Feb 14	Neural Networks (I)	Ch. 1&2	Assignment 1
4	Feb 16	Neural Networks (II)
5	Feb 21	Convolutional Neural Networks (I)	Ch. 3
5	Feb 23	Convolutional Neural Networks (II)		Quiz 2
6	Feb 28	Convolutional Neural Networks (III)		Assignment 2
6	Mar 2	Convolutional Neural Networks (IV)
7	Mar 7	Midterm Review
7	Mar 9	Midterm Exam
8	Mar 14	Spring Break
8	Mar 16	Spring Break
9	Mar 21	Using Public Datasets (I)	Ch. 4
9	Mar 23	Using Public Datasets (II)		Quiz 3
10	Mar 28	Natural Language Processing (I)	Ch. 5	Assignment 3 Group Formation
10	Mar 30	Natural Language Processing (II)
11	Apr 4	Natural Language Processing (III)	Ch. 6
11	Apr 6	Natural Language Processing (IV)		Quiz 4
12	Apr 11	Recurrent Neural Networks (I)	Ch. 7	Assignment 4 Group Project Phase I
12	Apr 13	Recurrent Neural Networks (II)
13	Apr 18	Easter Break
13	Apr 20	Generative Adversarial Networks
14	Apr 25	Human Biases and AI Ethics (I)	Ch. 20
14	Apr 27	Human Biases and AI Ethics (II)		Quiz 5
15	May 2	Course Wrap-Up
15	May 4	No Class (Group Project Meetings)
16	May 9	Project Presentations		Group Project Phase II Group Project Presentation
16	May 11	Final Exam(10:30 AM – 12:30 PM; David Straz Hall 465)

Instructor

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

Course

BUAN 4061 – Advanced Business Analytics (Spring 2022)

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