Computer-Science Courses

COMP 160. Fundamentals of Computer Science 4 sem hrs

An introduction to the field of Computer Science. The course will include a brief introduction to various topics that make up the computer science discipline. These topics may include, but are not limited to, computer logic, computer architecture, operating systems, and compilers. In addition, topics such as history of computing, careers in computing, and social impact of computing will be covered. Students will work with simplified programming environments to develop the problem-solving skills needed for more advanced study in computer science. This course is intended for students with no previous computer programming experience. Offered every semester.

COMP 161. Introduction to Programming 4 sem hrs

An in-depth introduction to the design, development, and implementation of computer programs. Students will focus on developing modular programs in a procedural style. Topics include primitive and structured data types, data and sequence control mechanisms, subprograms and parameters and recursion. Students experiment with basic concepts during regularly scheduled laboratory sessions. Programming will be done using the Java programming language. Prerequisite: COMP 160. Offered in the spring semester.

COMP 210. Object-Oriented Programming 4 sem hrs

In this course students are introduced to basic and advanced object-oriented programming techniques. Topics include objects, inheritance, reusable code and generic programming. Additionally, students will learn basic exception handling and be introduced to programming Graphical User Interfaces (GUI). Course concepts are discussed during regular class session and explored further during weekly lab sessions. Prerequisite: COMP 161. Offered in the spring semester.

COMP 220. Data Structures 4 sem hrs

Definition, implementation and application of data structures and their operations. Topics include abstract data types, recursion, efficiency analysis, algorithms, sorting and searching. Students will develop the basic tools necessary to compare and contrast algorithms and computer programs in general. Additionally, the nature of the science of computation will be explored. Taking MATH 260 prior to or concurrently with COMP 220 is highly recommended but not required. Prerequisite: COMP 161. Offered in the fall semester.

COMP 230. Computer Architecture and Organization 3 sem hrs

An introduction to the architecture and organization of computer systems emphasizing the standard von Neumann model and moving forward to alternative concepts such as multiprocessor systems. Topics include digital logic, data representation, assembly language, memory systems, I/O interfaces. Prerequisites: COMP 161 and MATH 260. Offered in the spring semester.

COMP 310. Database Theory and Design 3 sem hrs

An introduction to the concepts and techniques of database systems. Includes history and motivation of database systems, data modeling, rational database, SQL, transaction processing, distributed databases. Prerequisites: COMP 220 and MATH 260. Offered every odd spring semester.

COMP 325. Organization of Programming Languages 3 sem hrs

A study of the necessary components of programming languages and of how computers implement programs. Prerequisites: COMP 220 and 230. Offered every odd fall semester.

COMP 335. Software Engineering 3 sem hrs

A look at the field of software engineering and the theories and practices it uses. Topics include system logic, design, modeling and the software process. Students will put software engineering practices to use on a group software project. Prerequisites: COMP 210 and 220. Offered every odd fall semester.

COMP 337. Computer Communications and Networking 3 sem hrs

This course introduces the fundamentals of computer networks. It focuses on the communication protocols used in computer networks, their functionality, specification, verification, implementation, and performance. The course also considers the use of network architectures and protocol hierarchies to provide more complex services. Existing protocols and architectures will be used as the basis of discussion and study. Prerequisite: COMP 220. Offered every even spring semester.

COMP 340. Analysis of Algorithms 3 sem hrs

A study of the design and analysis of computer algorithms. Topics include asymptotic analysis, efficient algorithm design, sorting and order statistics, hashing, binary search trees, graph algorithms, matrix multiplication, and NP completeness. This course begins a more in-depth study in the theory and science of computation. Prerequisites: COMP 220 and MATH 260. Offered every even spring semester.

COMP 343. Artificial Intelligence 3 sem hrs

An introduction to the fundamental issues and problems of computational artificial intelligence with a history of the field and discussion of the social, moral and ethical issues involved in attempting to create intelligent machines. Topics include search-based problem solving, knowledge representation and reasoning, machine learning and uncertainty. Prerequisites: COMP 220 and MATH 260. Offered every odd spring semester.

COMP 345. Operating Systems 3 sem hrs

Topics include dynamic procedure activation, system structure, memory management, process management, and recovery procedures. Prerequisites: COMP 220 and 230. Offered every even fall semester.

COMP 350. Topics in Computer Science 3 sem hrs

Possible topics include theoretical computer science, computer/network security, cryptography, graphics, and general topics within Computer Science not covered in the standard catalog. May be repeated for credit with different topics. Offered annually. Topics determined based on current events and current student interests. Prerequisites vary according to the topic studied. Offered every odd fall semester.

COMP 401. Senior Project: Research 2 sem hrs

COMP 401 is the first of two courses that make up the capstone experience in Computer Science. This course focuses on researching and developing a concrete proposal for an independent or small group project to be implemented in COMP 402 the following spring.
Prerequisite: COMP 220 and senior status. Offered in the fall semester.

COMP 402. Senior Project: Implementation 2 sem hrs

COMP 402 is the second of two courses that make up the capstone experience in Computer Science. This course focuses on the implementation of the research and development proposal completed during the previous fall’s section of COMP401. Prerequisite: COMP 401. Offered in the spring semester.

COMP 420. Independent Study 3 sem hrs

An individual project in computer science undertaken by the student with the guidance of the faculty. Prerequisite: Permission of the instructor.

COMP 450. Internship in Computer Science 3 sem hrs

An experience designed to allow students in the computer science field to apply the concepts and ideas developed during their study in the major. Prerequisite: Senior standing and prior approval of the department.

Kayla Winbigler

Student "Scotlight"

Kayla Winbigler
Major: Accounting and Business

Monmouth gives students tool to learn, rather than the facts