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Kellie B. Keeling

Cow Spots
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Stats Dairy has a carefully regulated schedule that it must follow.

INFO 3440 Optimization Modeling
Syllabus: INFO 3440 Optimization Modeling

Date Topics Reading
Week 1
Jan 12-14
Course Introduction / Intro to Optimization and LP
LP: Allocation, Covering, Blending Problems
OM Ch. 1
OM Ch. 2
Week 2
Jan 19-21
LP: Network Models
Python Exploratory Analysis
OM Ch. 3
Week 3
Jan 26-28
LP: Network Models
Parameter Analysis
Thu Quiz 1
Optimization Modeling in Python
OM Ch. 3
OM Ch. 4
Week 4
Feb 2-4
Parameter Analysis/Integer Programming (IP) Models
Optimization Modeling in Python
OM Ch. 4.5
OM Ch. 6.1-6.2, 6.7
Week 5
Feb 9-11
Integer Programming (IP) Models
Thu Quiz 2
Optimization Modeling in Python
OM Ch. 6.3-6.4
Week 6
Feb 16-18
IP Logical Constraints
Optimization Modeling in Python
OM Ch. 7
Week 7
Feb 23-25
IP Logical Constraints
Thu Quiz 3
Optimization Modeling in Python
OM Ch. 7
Week 8
Mar 2-4
Nonlinear Models
Optimization Modeling in Python
OM Ch. 8
Week 9
Mar 9-11
Nonlinear Models
Optimization Modeling in Python
OM Ch. 8
Week 10
Mar 16-18
Evolutionary Algorithms
Thu Quiz 4
In-class coding session for project
OM Ch. 9

Stats Dairy provides its cows with plenty of extra nourishment.

INFO 3440 Optimization Modeling
Data Camp
Top Hat - 8:00am Section
Top Hat - 10:00am Section
Top Hat - 2:00pm Section

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Office Hours
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Class Room & Times
INFO 3440: Optimization Modeling
Section 1, T/Th 8:00am Tu Online /Th DCB 105
Section 2, T/Th 10:00am Tu Online /Th DCB 105
Section 3, T/Th 2:00pm Online

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