CSCE Undergraduate Special Topics Class and Electives Announced for Spring 2021

CSCE 4013 - Big Data Analytics and Management - Dr. Xintao Wu

Introduction to tools and techniques for distributed data computing and management, big data analytics, scalable machine learning, and real-time streaming data analysis. Prerequisites: CSCE 3193 Programming Paradigms and CSCE 2214 Computer Organization. 

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

CSCE 4433 - Cryptography - Dr. Qinghua Li

CSCE 4613 - Artificial Intelligence - Dr. Thi Hoang Ngan Le

CSCE 4643 - Graphics Processing Units Programming - Dr. Miaoqing Huang

CSCE 4753 - Computer Networks - Dr. Kevin Jin

CSCE 4813 - Computer Graphics - Dr. John Gauch

CSCE 4914 - Advanced Digital Design - Dr. Yarui Peng

CSCE Graduate Special Topics Class and Electives Announced for Spring 2021

CSCE 5013 - Blockchain Technology - Dr. Justin Zhan

This class will prepare students on current and emerging Blockchain technologies and applications.  Topics covered will include: Blockchain core technology, e.g., blockchain architecture, cryptography, consensus algorithms, scalability; Blockchain application development, e.g., smart contracts, DApp, enterprise applications; Ethereum, HyperLedger; Blockchain infrastructure management, e.g, deep learning, big data analytics, cloud service; Blockchain usages in cryptocurrency; Bitcoin, Ethereum, anonymous coins.  Prerequisites: CSCE 3193 Programming Paradigms, INEG 2313 Applied Probability and Statistics for Engineers, or permission of instructor.

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

CSCE 5063 - Machine Learning - Dr. Lu Zhang

CSCE 5263 - Computational Complexity - Dr. Matt Patitz

CSCE 5323 - Computer Security - Dr. Brajendra Panda

CSCE 5423 - Cryptography - Dr. Qinghua Li

CSCE 5613 -  Artificial Intelligence - Dr. Thi Hoang Ngan Le

CSCE 5683 - Image Processing - Dr. Ukash Nakarmi

CSCE 5703 - Computer Vision - Dr. Khoa Luu

CSCE 5753 - Wireless Systems Security - Dr. Dale Thomspon

CSCE 5833 - Computer Architecture Security - Dr. David Andrews

CSCE 5914 - Advanced Digital Design - Dr. Yarui Peng

CSCE 5943 - Computer Arithmitic Circuits - Dr. Jia Di

 

Ryan Renfro, Alumnus and Staff Member, Remembered for Kind Heart

FAYETTEVILLE, Ark. – Ryan Anthony Renfro, 34, a staff member of the Department of Computer Science and Computer Engineering, died Saturday, July 18, 2020, at Fayetteville.

He was born May 21, 1986, in Pine Bluff, the son of Ronald and Donna Telliard Renfro. Ryan grew up in Pine Bluff, graduating from St. Joseph Catholic High School. He earned his bachelor's degree in communications from the U of A.

After graduation from college, Renfro began working for the university as an administrative specialist for the CSCE Department.  Read More

                                    

NSF CyberCorps Scholarship Applications Now Being Accepted for Fall 2020

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 CSCE, INEG, and ELEG at UofA 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/. Applications submitted before September 21st will receive full consideration. 

What is Computer Science?

 

Computer scientists specialize in the software side of computing, focusing on writing new programs that allow computer applications to run faster and more efficiently. You might work for a security company, creating technology that reduces the risks of viruses and hackers, or develop flight simulation exercises that allow airline pilots to practice managing flight problems.

What is Computer Engineering?

Computer engineers deal with both software and hardware. As a computer engineer, you could design entire computer systems and networks, making sure that the hardware, or physical equipment, is capable of running the appropriate software. You might build devices such as retinal scanners that identify people by checking their eyes, or you could design computers that are incorporated into prosthetic devices to aide people with disabilities.

Those who continue onward to obtain a graduate degree in either computer science or computer engineering learn to advance the frontiers of science. With an MS or PhD, you will invent the new technologies that enable the next generation of software and computing devices.

To learn more about Computer Science check out the links below from ComputerScience.org:

Women in Computer Science

Computer Science Programs in Arkansas

Scholarships & Financial Aid

Student News

Computer Science Doctoral Student Wins Best Paper at Cybersecurity Conference

Dr. Brajendra Panda and doctoral student Mohammed Alshehri

From left to right: Brajendra Panda, professor of Computer Science and Computer Engineering, and doctoral student Mohammed Alshehri.

A computer science doctoral student earned a "Best Paper" award at an international cybersecurity conference earlier this year.

Mohammed Alshehri Sr. took home the top honors from the 12th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage in Atlanta.

His advisor is Brajendra Panda, profesor of computer science and computer engineering.

Alshehri was honored for his research into fog node protection.  Fog computing is the name for multiple cloud systems linked together to reduce the response time for users to retrieve data from the cloud. 

Read More.

 

Top Stories

Data Science Professor Receives $1.25 Million from Department of Defense

Oct. 08, 2020

Justin Zhan, University of Arkansas.

FAYETTEVILLE, Ark. - A $1.25 million grant from the Department of Defense will enable data science researcher Justin Zhan to develop novel algorithms to enhance the speed and efficiency of computational software that uses large amounts of streaming data. 

By harnessing big data analytics faster and more efficiently, the algorithms will significantly enhance computational performance of many applications and programs that require massive amounts of streaming data.  This so-called machine-learning approach to big data analytics will improve operational robustness, in addition computational speed and efficiency.  Read More

Researchers Receive NSF Funding to Build a Smarter Insect Trap

Aug. 05, 2020

Professors Koah Luu and Ashley Dowling

FAYETTEVILLE, Ark. – “Build a better mousetrap, and the world will beat a path to your door,” goes the adage.

Ashley Dowling, a professor in the entomology and plant pathology department, and Khoa Luu, an assistant professor in the computer science and computer engineering department, aren’t trying to build a better mouse trap, but they are trying to build a better insect trap. For their efforts, they were recently awarded almost $75,000 as part of a grant from the National Science Foundation’s Small Business Innovation Research program.

Read More

Researchers Receive DARPA Funding to Improve Chip Security

July 28, 2020    

Jia Di, professor of computer science and computer engineering
Jia Di, professor of computer science and computer engineering

FAYETTEVILLE, Ark. – A U of A researcher has received a $600,000 grant to pursue technology that makes digital chips more resilient to security attacks.

Cybersecurity is often associated with protecting data, but hackers are increasingly targeting physical devices, said Jia Di, professor of computer science and computer engineering. Di, who holds the 21st Century Research Leadership Chair, is the principal investigator on the project.

 Read More 

 

facts

The U of A is among universities with the highest level of research activity
Engineering was an early focus of the university
Fayetteville, AR is the fourth best place to live

News

Arkansas Researchers Developing Prediction Models for Coronavirus

Fayetteville, Ark. - Data Science professor Justin Zhan is collaborating with University of Arkansas for Medical Sciences professors David Ussery and Xuming Zhang to develp accurate predictions of genomic variation trends of coronavirus.

Their work will help public health officials monitor the outbreak and adapt to changes.  It could also provide valuable information for the deisgn of the vaccine.

"To control and prevent COVID-19, public officials need highly robust models for predicting how and where the virus will spread," Zhan said.  "This project will assist that effort and lead to better detection and prevention strategies.  We think it could have colassal social and economic impacts."

Zhan's research focuses on big data, blockchain technologies, information assurance, and biomedical informatics.  For this project, he will use a novel, blockchain-based artificial intelligence system, which integrates information on the relationships of biological systems to predict trends and changes as the coronavirus spreads.  The system will be evaluated and tested through various coronavirus benchmark datasets.

Ussery and Zhang will provide expertise in the areas of bioinformatics, microbiology, and immunology.

A blockchain is a growing list of records, called blocks, that are linked using cryptography.  Each block contains a cryptographic of the previous block, and timestamp, and transaction data generally represented as a Merkle tree.  By design, a blockchain is resistant to modification of the data.  It is "an open, distributed ledger that can record transactions efficiently and in a verifiable and permanent way."  As the fundamental component and functional element of blockchains, Merle trees allow for efficient and secure verification of large data structures and potentially boundless data sets.

With a large grant from the Army Research Office, Zhan in building and graphics processing unit at the U of A.  The unit is a computer cluster of big data research and eduction.

Justin Zhan and David Ussery are both Arkansas Research Alliance scholars.

Engineering Professors to Develop Technology Aimed to Fight Breast Cancer

Two University of Arkansas engineering professors received a $19,145 grant from the University of Arkansas Women's Giving Circle to develop technology that could help fight breast cancer.

The award was given to Magda O. El-Shenawee, professor of electrical engineering, and Alexander Nelson, assistant professor of computer science and computer engineering.  Read More

Data Science Professor Is Newest U of A Arkansas Research Alliance Scholar

Justin Zhan, professor of data science in the Department of Computer Science and Computer Engineering, was formally inducted today into the Arkansas Research Alliance Academy during a ceremony with Gov. Asa Hutchinson at the Capitol in Little Rock.  Read More

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