EECS researchers work with interdisciplinary collaborators to develop computational capabilities enabling research in a variety of scientific disciplines including computational medicine, electronic circuit design, and climate science. Central to this effort is the development of algorithms of all types: numerical, non-numerical, sequential, and parallel. A variety of paradigms are exploited, including artificial intelligence for use with image processing, computer vision, and robotics as well as visualization which is now widely recognized as an integral part of the scientific discovery process, not just a method for displaying final results.

Associated Disciplines


Explore: Disciplines

Associated Programs

Associated Faculty

Arvin Agah
Professor, Dean of Engineering
1C Eaton Hall

Primary Research Interests

  • Intelligent Systems
  • Robotics
  • Medical Applications of Artificial Intelligence
  • Software Engineering
Jerzy Grzymala-Busse
Professor Emeritus
3014 Eaton Hall

Primary Research Interests

  • Knowledge Discovery
  • Data Mining
  • Machine Learning
  • Expert Systems
  • Reasoning Under Uncertainty
Man Kong
Associate Professor Emeritus

Primary Research Interests

  • Algorithm Design and Analysis
  • Combinatorial Optimizations
  • Graph Algorithms
Bo Luo
2044 Eaton Hall

Primary Research Interests

  • Information security and privacy, database security
  • Information retrieval, Web and online social networks
  • Security and privacy issues in smart grid systems
  • XML and conventional database systems, data management
James Miller
Associate Professor Emeritus
2036 Eaton Hall

Primary Research Interests

  • Computer Graphics
  • Visualization
  • Geometric Modeling
  • Technology in Education
Matthew Moore
Assistant Professor

Primary Research Interests

  • Foundational Computer Science
  • The Constraint Satisfaction Problem
  • Universal Algebra
  • Complexity Theory
Suzanne Shontz
3016 Eaton Hall

Primary Research Interests

  • High Performance Scientific Computing Algorithms
  • Parallel Unstructured Mesh and Optimization Algorithms
  • Model Order Reduction
  • Computational Medicine
  • Image Processing
Assistant Professor
2024 Eaton

Primary Research Interests

  • High-Performance Computing 
  • Cloud/Edge Computing
  • Computational Data Science
  • Resource Scheduling
  • Fault Tolerance
Roy A. Roberts Distinguished Professor, Provost, Executive Vice Chancellor

Primary Research Interests

  • Efficient Algorithms For External Memory
  • Compressed Text Indexes and Data Structures
  • Data Compression
  • Database Access and Data Mining
  • Machine Learning and Prediction
Assistant Professor
2048 Eaton

Primary Research Interests

  • Data Mining
  • Health Informatics
  • Mobile Intelligence
  • Natural Language Processing

Associated Facilities

Advanced Computing Facility cluster with over 350 nodes and 6000 CPU cores connected to 125TB of on-line storage. Some GPUs and phi co-processors are also available as part of the ACF cluster.

Program Objectives

  • Understand the design and analysis of numerical algorithms.
  • Understand the design and analysis of non-numerical algorithms.
  • Understand how to develop algorithms capable of artificial intelligence.
  • Understand how to develop algorithms for use in image processing and visualizations of scientific data.
  • Understand how to apply the various types of algorithms described above to provide efficient and numerically reliable solutions to real-world problems.
  • Have the ability to effectively communicate to impact technological decisions.

Core Coursework (MS)

Note: Select two of the three 600-level core courses listed above.

Elective Coursework (MS)

Explore: EECS Courses

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