SIME 5000 - Analytics for Sys Mgmt

Institution:

University of Utah

Subject:

Description:

This course provides a broad overview of analytics with a focus on using quantitative tools to better manage systems. The first third of the course focuses on developing introductory and basic python programming skills to read, store and graphically represent data. The topics covered include: arrays, loops, data structures and visualizing data. The second third of the class focuses on statistical analysis of data. The topics covered include: f and t hypothesis testing, confidence intervals, regression and clustering. The final third of the course presents how to use computers to generate improved or optimal solutions. The topics covered include neighborhood search, hill climbing or simulated annealing heuristic, linear programming and integer programming. The homeworks, projects and tests will draw data from a wide range of systems where analytic tools will identify better solutions for improved systems management. Prerequisites: 'C' or better in (ME EN 1010 OR CS 1400 OR CS 1420 OR CH EN 1703 OR MSE 2001) AND (ME EN 2550 OR MATH 3070 OR CH EN 2550 OR CS 3130 OR ECE 3530) AND Full Major status in the College of Engineering or College of Mines

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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