MATH 106. Elementary Statistics
A study of the methods of describing and analyzing data and an introduction to statistical inference with applications. Topics include mean and variance, data displays, normal distribution, correlation and regression, and test of significance for means and proportions. (Three credits.) 

COMP 160. Fundamentals of Computer Science. An introduction to the field of computer science with emphasis on programming. Students will be asked to write programs in at least one high level language. In addition to programming, 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 compliers. In addition topics such as history of computing, careers in computing, and social impact of computing will be covered. This course is intended for students with no previous computer programming experience. (Also MISY 160) (Four credits.)

COMP 161. Introduction to Programming
An in-depth introduction to the design, development, and implementation of computer programs. Topics include structured and object oriented programming methodologies, programming language features, primitive and structured data types, data and sequence control mechanisms, subprograms and parameters, recursion. Students experiment with basic concepts during regularly scheduled laboratory sessions. Prerequisite: COMP 160 or equivalent experience. 

COMP 163. Data Structures
Definition, implementation and application of data structures and their operations. Topics include abstract data types, object oriented programming, recursion, efficiency analysis, algorithms, sorting and searching. Students experiment with basic concepts during regularly scheduled laboratory sessions. Prerequisite: COMP 161.

COMP 200. Programming in a Second Language. An introduction to programming in a second high-level language. Students who have already mastered programming in at least one computer language will learn the structure and syntax of the selected language for this course. May be repeated using a different language. Prerequisite: COMP 163. (One credit.)

COMP 230. Computer Architecture and Organization. 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 163 and MATH 260. (Four credits.)

COMP 310. Database Theory and Design. 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 163 and MATH 260. (Also MISY 310) (Three credits.)

COMP 315. Scientific Programming in FORTRAN. A study of the applications of FORTRAN in writing programs for use in the sciences. Prerequisite: COMP 161. (Three credits.)

COMP 320. File Structures. A study of the various organizations and access methods of computer files and file systems. Theory, algorithms, and performance efficiencies are emphasized. Prerequisite: COMP 163. (Three credits.)

COMP 325. Organization of Programming Languages. A study of the necessary components of programming languages and of how computers implement programs. Prerequisites: COMP 163 and 230. (Three credits.)

COMP 335. Systems and Analysis Design. Includes building and describing a logical model of a system, top-down design of modular structures, and database management. Prerequisite: COMP 163. (Also MISY 335) (Three credits.)

COMP 337. Computer Communications and Networking. 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 163 (Three credits.)

COMP 340. Analysis of Algorithms. 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. Prerequisites: COMP 163, Math 260. (Three credits.)

COMP 345. Operating Systems. Topics include dynamic procedure activation, system structure, memory management, process management, and recovery procedures. Prerequisites: COMP 163 and 230. (Three credits.)

COMP 350. Topics in Computer Science. Possible topics include other programming languages and artificial intelligence. May be repeated for credit with different topics. Offered when there is sufficient student interest. Prerequisites vary according to the topic studied. (Three credits.)

COMP 400. Senior Project. A semester long project involving the development of a software and/or hardware system or the theoretical study of an approved topic. These projects will normally be done in groups. Prerequisites: COMP 163, 190, 230, and senior standing. (Also MISY 400) (Three credits.)

COMP 420. Independent Study. An individual project in computer science undertaken by the student with the guidance of the faculty. Prerequisite: Consent of the instructor. (Three credits.)

COMP 450. Internship in Computer Science. 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. (Three credits.)

ACCT 213. Financial Accounting
Introduction to financial accounting; the communication of relevant information to external parties. Includes the development of the accounting model, internal control, measurement processes, data classification and terminology, and the interpretation and use of financial statements. Prerequisite: INTR 101 {Freshman Seminar}. (Three credits.)

IMPORTANT DATES