Computer Science

Problem solving methods, object-oriented programming and algorithm development, data abstraction and techniques for representing and processing information. This is an accelerated course that covers programming fundamentals through data structure designs.

Covers advanced topics of software engineering. Topics include the techniques, tools, quality metrics and challenges of the various phases of the software life-cycle. A team oriented term project is included.

A study of theory, techniques and methodologies for developing and maintaining relational databases. A detailed analysis of performance issues of access methods in very large databases. Computer projects are required.

Advanced image processing techniques, the mathematical rationale behind each technique with major applications and limitations. Exposure to various processing strategies for accessing and measuring information of image data. Computer lab work is required.

An in-depth study of methodology and practice utilized in today's advanced web sites. A comprehensive analysis of current trends in software and programming techniques developed especially for Internet applications. Concentration on programming languages that include tools for high level of web site interaction. Managing the full software cycle from web site visual design to server-client programming.

Covers advanced topics of database management systems design and applications. Topics include query evaluation and optimization, transaction management and concurrency control, database tuning, security and authorization, parallel and distributed databases, object-database, data warehousing and decision support, data mining, information retrieval and XML data, and internet applications. Programming work required.

An introduction to current practices and tools for the development of mobile applications. Topics include mobile user interface design, multithreading, messaging and communication, multimedia processing, data services, location awareness, and mobile security. Students are be expected to propose and develop a mobile application.

Theory and applications of statistical, neural and syntactical pattern recognition. Topics include Bayesian decision theory, discriminant functions, parametric and non-parametric techniques, multilayer neural networks, decision trees, algorithm-independent machine learning and unsupervised learning and clustering.

Theory and application of deep learning for machine intelligence. Topics include linear and logistic regression, fully-connected neural networks, convolutional neural networks, object localization/detection, neural style transfer, recurrent neural networks, generative adversarial networks, variational autoencoders, and capsule networks. Students are required to complete multiple programming assignments.

An examination of security and threat models, risk analysis, authentication and authorization, auditing, operating systems security, access control mechanisms, protection mechanisms, distributed systems/network security, security architecture, electronic commerce security mechanisms and security evaluation.

Provides students with the fundamental security, technologies and protocols of network security that are widely used in the real world. Topics include: Internet Protocol Security (IPSec), Transport Layer Security (TLS) , X.509 Certificates, Public Key Infrastructure (PKI), Virtual Private Networks (VPN), SSH, Email security, DNS security, Firewalls, Kerberos, WEP, WPA, and IEEE802.11i Wireless LAN security.

Covers the key concepts, strategies, methods and tools that can be employed to measure and improve the quality of software. Topics include: Software Quality Attributes, Quality Measurement and Metrics, Software Quality Standards and Continuous Software Process Improvement.

A study of techniques and methodologies for developing single and multithreaded distributed application across computer networks. Topics include network programming, synchronization, protocols, distributed objects, and architectures. Team projects are required.

Study of computer networks and data communications technologies. Topics include Local and Wide Area Networks, wireless LAN technology, digital transmission, OSI model, Internet architecture and TCP/IP, transmissions system, modem technology, data encryption, network security and multimedia information.

Principles of network & system penetration, using the same methods as hackers, are explored with the purpose of finding and fixing security vulnerabilities and ensuring the security of information assets. Legal and ethical issues associated with penetration testing are emphasized. The lab-intensive exercises are used to gain practical experiences in areas such as scanning and enumeration, access and exploitation, escalating privileges, malware, buffer overflows, and other relevant topics.

Principles of securing, monitoring and protecting heterogeneous complex distributed computer systems against cyber-attacks.The emphasis is placed on security related activities before, during and after a system security breach. Topics include system monitoring, intrusion detection and evidence collection, incident response, system recovery, and incident prevention.

A study of methods and algorithms that mimic biological systems. A comprehensive foundation of life concepts such as evolution and survival of the fittest, and their computational equivalents. Computational application of evolutionary concepts in science, engineering, mathematics and other areas.

Development of the capstone experience proposal including: introduction, review of literature, statement of the problem, solution methodology, implementation and results. Prerequisite: departmental permission.

Completion of thesis including: products, results, discussion, summary, conclusions and recommendations for future study.

Development of the Special Project including: introduction, review of literature, problem statement, solution methodology, implementation and results.

Independent Study