Descriptions for electives can be found on the CSCE Undergraduate Courses page.

CSCE 40103-002 - Special Topics: Domain Specific Architectures - Dr. David Andrews

Moore’s Law expanded the use of general-purpose computer components into every niche of our lives. Expansion into new markets reduced component costs and supported a continuous cycle of new architecture enhancements. These enhancements combined with transparent clock frequency increases to provide a periodic cycle of exponential performance increases that characterized the era of Moore’s Law. The ending of Dennard scaling ended the era of exponential performance increases and Moore’s Law continues to slow. The recent rise of computationally demanding machine learning and big data analytics applications combined with the slowdown of performance increases to usher in a new era of domain specific architectures as well as domain specific languages. This course will study both the economic as well as technical changes that are driving a change from general purpose to custom and application specific accelerators. The course will introduce students to domain specific accelerator architectures including but not limited to systolic arrays, array processors, in/near memory, and neuromorphic computing models, NVM analog accelerators, and application driven custom designed accelerators. Materials for this course will be drawn from the literature. Students will be required to make presentations and engage in a semester project.

CSCE 41403 - Data Mining - Dr. Xintao Wu

CSCE 42603 - Advanced Data Structures - TBA

CSCE 44203 - Cryptography - Dr. Qinghua Li

CSCE 45503 - Information Retrieval – Dr. Susan Gauch

CSCE 46203 - Mobile Programming - Dr. Alex Nelson

CSCE 47803 - Cloud Computing and Security - Dr. Miaoqing Huang

 

Fall 2024 Graduate Electives

Descriptions for the following electives can be found on the CSCE Graduate Courses page.

CSCE 50103-001 - Special Topics: Domain Specific Architectures - Dr. David Andrews

Moore’s Law expanded the use of general-purpose computer components into every niche of our lives. Expansion into new markets reduced component costs and supported a continuous cycle of new architecture enhancements. These enhancements combined with transparent clock frequency increases to provide a periodic cycle of exponential performance increases that characterized the era of Moore’s Law. The ending of Dennard scaling ended the era of exponential performance increases and Moore’s Law continues to slow. The recent rise of computationally demanding machine learning and big data analytics applications combined with the slowdown of performance increases to usher in a new era of domain specific architectures as well as domain specific languages. This course will study both the economic as well as technical changes that are driving a change from general purpose to custom and application specific accelerators. The course will introduce students to domain specific accelerator architectures including but not limited to systolic arrays, array processors, in/near memory, and neuromorphic computing models, NVM analog accelerators, and application driven custom designed accelerators. Materials for this course will be drawn from the literature. Students will be required to make presentations and engage in a semester project.

CSCE 52803 - Graph and Combinatorial Algorithms - Dr. Lu Zhang

CSCE 53203 - Computer Security - Dr. Yanjun Pan

CSCE 53303 - Computer Forensics - Dr. Brajendra Panda

CSCE 57003 - Computer Vision - Dr. Thi Hoang Ngan Le

Sponsored by the National Science Foundation and managed by the Arkansas Security Research and Education (ASCENT) Institute, the UofA Scholarship for Service (SFS) program is now accepting applications from eligible undergraduate and graduate students in EECS and INEG at U of A with the goal as developing a superior cybersecurity workforce. This program provides generous scholarships ($25,000 per year for undergraduate students and $34,000 per year for graduate students, plus the full amount of tuition and other educational allowance per year). Each scholarship recipient will need to agree to work at a government agency post-graduation for a period equal to the duration of the scholarship. For more information and application submission, please visit https://ascent.uark.edu/sfs-2/