Course descriptions

Principles and techniques for designing and implementing a compiler. Topics include lexical analysis, parsing techniques, syntax-directed translation, intermediate languages, and code generation.

Survey of artificial intelligence techniques. Topics include search, logic, knowledge representation, reasoning with uncertainty, learning, and other AI techniques.

Introduction to digital image processing. Topics include Digital image fundamentals, intensity transformations, and spatial filtering, filtering in frequency domain, Image restoration and reconstruction, Color image processing, Image compression, and Image segmentation.

The senior capstone course provides computer science students the opportunity to employ knowledge gained from courses throughout the curriculum to develop a software solution to a real-world problem from conception to completion. Students work in teams to develop software applications. Advanced methods related to requirements analysis, software design, project management, documentation and testing, programming techniques, and database designs will be applied on an incremental basis since the emphasis is on semester-long capstone team projects.

This course is an in-depth study of software development processes in the context of an actual project. Discussion includes object-oriented processes, such as Rational Unified Process, as well as process management issues such as scheduling, risk-assessment, various metrics, and the selection of appropriate development methodology and tools.

Introduction to computer communications networks. Topics include circuit-switching, packet switching, TCP/IP model layers, and wireless networks.

Design & implementation of operating systems. Topics include basic operating system structure, process and thread management, deadlocks, memory management, file management, input / output management, and distributed systems.

Introduction to computer security and privacy. Topics include security in programs, operating systems, networks and databases.

Topics in Computer Science

Introduction to Academic Research in Computer Science. Topics include: Research techniques and approaches, Computer Science research areas and metrics, literature review, writing a research paper, referencing and citations, and developing an effective workflow.

Practicum in Computer Science prepares students for successful computing related careers. The course aims to train and certify the students with market demanding fields such as computer networks, database systems, computer system/ applications, business and leadership etc.

Introduction to ethics theory and ethical decision making within the computing profession context. Topics include local and global impact of computing solutions, intellectual property, privacy, network security, electronic crimes and computer reliability.