Computer Science

COMP 141 Computer Science I: Programming Fundamentals

An introduction to the fundamental concepts and practices of procedural programming. Topics include data types, control structures,functions, arrays, files, and the mechanics of running, testing, and debugging. Emphasis is placed on program design and problemsolving techniques. The course also includes an introduction to the historical and social context of computing and an overview of computer science as a discipline.

COMP 142 Computer Science II: Object-Oriented Programming

An introduction to the fundamental concepts and practices of object-oriented programming. The object-oriented programming paradigm
is introduced, with a focus on the definition and use of classes as a basis for fundamental object-oriented program design. Other topics
include an overview of programming language principles, simple analysis of algorithms, basic searching and sorting techniques, and an
introduction to software engineering issues.

COMP 172 Discrete Structures for Computer Science

An introduction to and survey of the mathematics used in computer science including functions, relations, sets, counting, logic, Boolean
algebra, proof techniques, induction, recursion, computational complexity, and computability. Other topics may be included as time

COMP 231 Introduction to Computer Organization

A bottom-up exploration of the interaction between computer hardware and software. Topics begin with an introduction to digital logic,
and continue through elementary processor design, to assembly language, machine data representation, and computer arithmetic. Other
topics in contemporary computer architecture such as multicore processors and GPGPU’s may be discussed as time allows. Projects
include hardware and simulated digital circuits as well as programs in assembly language.

COMP 241 Computer Science III: Data Structures and Algorithms

An introduction to the fundamental concepts of data structures and the algorithms that arise from them, using the object-oriented design
paradigm. Data structures covered include stacks, queues, linked lists, hash tables, trees, and graphs. Other topics include an introduction
to iterative and recursive algorithmic strategies and basic algorithm analysis.

Co-requisite: COMP 172 (unless already taken)

COMP 265 Computer Science Professional Development

This course is designed to help students prepare for meaningful computer science-related internships and careers. Key areas of focus are: (1) How to network effectively using such tools as LinkedIn; (2)Preparing for computer science interviews; (3) How to use Rhodes resources for career planning; (4) Creating effective resumes; (5) How to leverage internships for career development. Enrollment by permission of the instructor.

COMP 315 Computer Networks

An introduction to the structure and components of computer networks, packet switching, layered architectures, loosely coupled computer communication, network services and protocols, as well as the analysis of generic network models. Topics include: network topologies, router architectures, network-aware applications, content dissemination systems, network security, and performance issues.

COMP 320 Computer Graphics

Coverage of the basic concepts of 2D and 3D graphics, including an overview of graphics hardware, use of a graphics application programming interface, user interface design, techniques for computer animation, and graphical algorithms such as geometric transformations, clipping, windowing, hidden surface removal, and raster graphics techniques for the representation of curves, surfaces, and solids.


COMP 330 Operating Systems

An introduction to the fundamentals of operating systems design and implementation. Topics include the process model and
implementation of processes, an overview of the major components of a modern operating system, mutual exclusion and interprocess
synchronization, a survey of scheduling algorithms, memory management techniques, and file systems.