# Data Architecture

## ENGR-6220

Students design and deploy analytical systems that serve as the basis for the analysis, processing, storage, and interface of the machine learing process. Students choose learning models appropriate to the result desired using decision tree, Bayesian, neural net, and vector machine approaches. Students use multiple statistical approaches to evaluate results that lead to best results.

3 credits
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |

2026

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 0/25

2025

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 5/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 7/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 9/25

2024

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 4/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 4/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 10/25

2023

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 1/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 3/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 5/25

2022

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 6/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 4/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 3/20

2021

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 5/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 2/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 4/20

2020

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 3/20

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 3/25

Data Architecture (3c)

- Jan P. Olausson

Seats Taken: 5/20

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