Computer Science and Computer Engineering | Computer Science and Computer Engineering

4013/5013 – Cloud Computing and Security – Dr. Miaoqing Huang

Cloud computing has entered the mainstream of information technology, providing highly
elastic scalability in delivery of enterprise applications and services.  In this
course, we will focus on the architecture of today’s cloud computing tools, and the
security risks and managment in the cloud.  Prerequisites: CSCE 3613 Operating Systems or instructor consent or Graduate Standing

5013 – Deep Learning – Dr. Thi Hoang Ngan Le

This course aims at understanding the fundamentals of Deep Learning and its applicaiton
in computer vision, natural language understanding, and game theory.  The course starts
with basic multi-layer perception and then moves to other complicated models such
as CNN’s, RNN’s, Attention, and GAN’s models.  The course will end with Deep Reinforcement
Learning.  The course provides the required steps for building deep learning models. 
Students are also encouraged to learn independently with original ideas through group
projects.  Teams of 2-3 members per project.

4013/5013 – Electronic Design Automation – Dr. Yarui Peng

This course studies physical design, analysis, and optimization of VLSI circuits and
systems with empahsis on computational realizations and optimization.  We start with
some related topics such as graph algorithms and discuss various well-known algorithms
and methodologies in the design process of VLSI circuits, including design partitioning,
logic synthesis, floorplanning, routing, static timing analysis, and performance-driven
layout.  It requires a basic knowledge of digital circuit design, data structure,
and object-oriented programming.  Prerequisites: CSCE 3953 System Synthesis and Modeling (C or higher) and CSCE 3193 Programming Paradigms
( C or higher)

4013/5013 – Wearable and Ubiquitous Computing – Dr. Alexander Nelson

Technological miniaturization and advances in radio frequency technology have created
a computing environment that has enabled growth in the number and variety of non-traditional
computing systems.  Machine-to-machine communication and the Internet of Things (IoT)
represent a movement of computation away from single-user systems tethered to physical
locations.  This course will introduce wearable and ubiquitous computing paradigms
with emphasis on the engineering and development.  Three key themes that will be taught
during this course; the systems and infrastructures which compose IoT and wearable
systems, the devices and techniques for gathering data a communicating with the user,
and the applications of these technologies including the user experience.  Prerequisites:  CSCE 3193 Programming Paradigms

Sponsored by the National Science Foundation and managed by the Arkansas Security
Research and Education (ASCENT) Institute, the U of A Scholarship for Service (SFS)
program is now accepting application from eligible undergraduate and graduate students
with the goal of developing a superior cybersecurity workforce.  This program provides
gnerous scholarships ($25,000 per year for undergraduate students and $34,000 per
year for graduate students, plus up to $6,000 educational allowance per year).  Each
scholarship recipient will need to agree to work wit the government 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/  Deadline for applications is March 30, 2020.