Directory Academic Home Home  
WebMail Muskie Link Blackboard  
Academics Home Page
Admissions Home Page
About the Department
About the Faculty
About the Students
Courses Descriptions
Math Program
Comp. Sci. Program
Math and CS Tutoring
Current Department Events
After Graduation - Alumni
Awards and Honoraries
Links and Resources
Logo The content below is information specific to this academic department's fields of interest.

Course Descriptions


NOTE: Due to the sequential nature of the study of mathematics, once students have received credit for, or established proficiency at, one level in a sequence of mathematics coursework they are not allowed to receive credit toward graduation for a prior course in a lower sequence. Students with such questions concerning the applicability of sequential coursework should consult the department of Mathematics and Computer Science.

090 Developmental Mathematics (3)

    Presents a review of key elements of Arithmetic, Geometry and Basic Algebra designed to prepare the student for Muskingum College level mathematics. Grade does not count in GPA. Credit does not count in minimal hours toward a degree.

120 Mathematics for Elementary School Teachers (3)

    Includes a study of those topics in algebra and geometry of particular use in the elementary (K-8) curriculum. Prerequisite: 3 years of college preparatory mathematics or 090. Credit can be earned toward graduation for either Math 120 or Math 150 but not both.

140 Statistics (3)

    Presents basic statistical concepts and utilizes the computer. No prior computer experience is needed. Prerequisite: 3 years of college preparatory mathematics or 090

150 Liberal Arts Mathematics (3)

    Contains currently useful topics in mathematics which depend only on elementary concepts; for example, problem solving, logical reasoning, probability, statistics, functions, relations, set theory, matrices, graphs, trees and models. Prerequisite: three years of college preparatory mathematics or 090. Credit can be earned toward graduation for either Math 120 or Math 150 but not both.

170 College Algebra (3)

    Includes topics in algebra, analytic geometry, and logarithmic and exponential functions. Prerequisite: three years of college preparatory mathematics or permission of the department.

175 Trigonometry (1)

    Topics include trigonometric functions along with their graphs, identities, equations and various applications. Selected topics will be useful for the study of calculus. Pre-requisite or Co-requisite: 170

190 Beginning Calculus (4)

    Introduces the concepts of limit, continuity, derivative, integral and applications. It assumes some knowledge of trigonometric functions and equations for lines and conic sections. Prerequisite: 170 and 175 or equivalent, including trigonometry.

200 Intermediate Calculus (4)

    Continues the study of calculus and includes such topics as methods of integration, logarithms, exponentials, indeterminate forms, and infinite series. Prerequisite: 190

225 Discrete Mathematics (4)

    Introduces set theory and probability and deals with relations, digraphs, trees, lattices and Boolean algebras, and their computer application, as well as studying languages and grammar. Prerequisites: 170 or equivalent, Computer Science 110 or 111

230 Linear Algebra and Vectors (3)

    Includes the study of vectors, matrix algebra, vector spaces, linear transformations and determinants. Prerequisite: MATH 190

310 Multivariate Calculus (3)

    Includes the study of the basic concepts of calculus applied functions of more than one variable and related applications. Prerequisite: MATH 200. Corequisite: MATH 230

320 Differential Equations (3)

    Includes the study of first and higher order differential equations, methods for obtaining solutions, and applications. Prerequisites: 200, 230

330 Algebraic Structures (4)

    Includes the study of groups, rings, fields, vector spaces, and other related topics. Prerequisite: 225, 230.

340 Mathematical Statistics (3)

    Includes the basic theory and applications of probability and statistics. Prerequisite: 310

350 Numerical Analysis (3)

    Presents the concepts and methods of numerical solutions for mathematical problems and includes applications using the computer. Prerequisites: 200, 230, Computer Science 111

360 Geometry (3)

    Presents the study of several geometries, including synthetic and metric Euclidean, non-Euclidean, projective, and finite geometries. Prerequisite: 225, 230

370 History of Mathematics (2)

Surveys the history and development of mathematics from ancient times through the present day era. It will also show the contributions made to the field by mathematics from a diversity of ethnic, racial and gender groups. Prerequisite: 190, 225, 230

410 Analysis (4)

    Presents a rigorous devel-opment of the calculus and an introduction to real analysis. Prerequisites: 225, 310

420 Complex Analysis (3)

    An introductory study of the theory of functions of complex variables. Prerequisites: 310, 320

430 Applied Mathematics (3)

    Includes such topics as series solutions of differential equations, Fourier series and integrals, Bessel functions, Laplace transformations, partial differential equations, and vector and tensor analysis. Prerequisite: 310, 320

490 Topics in Mathematics (3)

    An opportunity to study in greater depth topics in the other listed courses. Prerequisite: permission of the instructor.

495 Mathematics Seminar (1)

    Provides a setting for the study and mastery of selected expository papers. Students lecture on the subject of the chosen paper and take an oral examina-tion. Prerequisite: permission of instructor.

Computer Science

100 Introduction to Computer Science (3)

Presents an overview of fundamental computer science topics and an introduction to computer programming. Overview topics include an introduction to computer science and its history, computer hardware, operating systems, digitization of data, computer networks, Internet and the Web, security, privacy, AI, and databases. This course also covers variables, operators, while loops, for loops, if statements, top down design (functional decomposition), use of an IDE, debugging, and arrays.

111 Computer Science I (3)

    Provides more in-depth programming, including software engineering topics such as testing and the use of version control. Basic data structures covered include arrays, lists, sets, maps. Basic algorithm efficiency concepts are covered along with simple searching and sorting. Other techniques such as graphical user interface programming, exceptions, recursion, designing classes (no inheritance), file input/output. Design techniques such as encapsulation and UML diagramming will be covered. Prerequisite: 100.

120 Computer Applications (1)

    Consists of a series of projects to introduce the use of computers in specific areas such as hypermedia and education. Prerequisite: 100

211 Computer Science II (3)

    Provides yet more in depth programming, including software engineering topics such as Model-View-Controller design and more formalized unit testing. Additional data structures covered include stacks, queues, priority queues, trees, graphs, and hash tables. Object oriented programming is introduced, along with associated UML diagramming techniques. Java Generics are covered. Prerequisite: 111.

220 Applied Computer Programming (3)

    Studies with each offering a particular computer programming language (e.g., C ++ , COBOL, Java, LISP) and the applications in which that language is traditionally used. Prerequisite: 111 or permission of instructor.

225 Web Applications Development (3)

Studies and practices the development of dynamic data driven web applications, in the context of the languages and technologies used in typical shared hosting environments. Topics include designing and implementing data models for a web application, developing the server side code necessary to interact with that data model, developing the web pages for the application, and an introduction to the use of dynamic scripting on the client side. Prerequisites: 111, 260.

320 Data Structures (3)

    Examines formal concepts of algorithm efficiency including Big Oh, Theta, and NP theory. Algorithmic techniques studied include: brute force, simulation, divide and conquer, dynamic programming, greedy algorithms, backtracking, branch and bound, and parallel algorithms. Time and space efficiency is analyzed from a practical and theoretical viewpoint throughout this course. Advanced searching and sorting techniques are covered. Classic algorithms and their relevance to real problems are examined. Typical data structures used as examples will include hash tables, trees, and graphs. Parallel programming will be explored. Prerequisites: 211, MATH 225

335 Computer Security (3)

    Covers operating system and network level security topics. Typical application level attacks such as buffer overruns will be analyzed and solutions covered. this course includes basic coverage of TCP/IP and cryptography in the context of network security. Typical network attacks such as denial-of-service, spoofing, etc. are covered, as are systems administration level analysis of possible attacks and intrusions via Linux logs.
    Prerequisite: 230

340 Programming Languages (3)

    Develops the concepts of language structure and uses these as a basis for comparing several lan-guages. Formal language definitions are introduced, and the concepts of syntax, semantics and pragmatics are discussed. Pre-requisite: 320 or permission of the instructor.

345 Mobile Application Development (3)

    Practices the development of mobile applications. Design considerations specific to mobile applications are covered, including: limited resources, battery life, intermittent connectivity, etc. Also covered are the networking concepts needed to connect a mobile applications to a web based server, and to use 3rd party APIs such as Google Maps, location based programming, etc. Projects are done in the context of one or more popular mobile platforms, such as Android and iOS. Prerequisites: 230, 325.

355 Software Engineering (3)

    Formalizes the software engineering topics covered in previous courses, in the context of what would be required in a realworld corporate environment. Typical software development methodologies will be discussed (e.g. waterfall, agile, test-driven design, etc.). UML Diagramming will be covered. Students will work n teams, analyze requirements, participate in code reviews, etc. Human Computer Interaction fundamentals will be covered, along with ethical and social issues related to the business of computing. The

400 Programming Projects (1)

    Enable students to design, implement and test a program of their own choosing. Proposed projects are approved by a faculty member who then meets with the student on a weekly basis. A final report is prepared and presented at the completion of the project. The course can be repeated once for credit. Prerequisite: permission of the instructor.

430 3D Game Programming (3)

    Examines the basic issues in 3D rendering and collision detection and associated algorithms, suitable for programming a 3D game engine. Explore data structures used for 3D games. Basic artificial intelligence techniques used in games are also covered, in the context of a 3D game engine. Prerequisites: 320, MATH 230.

450 Operating Systems (3)

    Examines the major components of several popular operating systems, including UNIX, VMS and MS-DOS. The relationships of operating systems to computer architectures are discussed, and program assignments are used to provide experience with operating system construction. Prerequisites 320, 350

480 Computer Networks (3)

    Computer networks covers the fundamental computer science aspects of telecommunications. Topics include layered network architecture, data link protocols, routing and flow control mechanisms, and transport protocols. Also covered in the course are local area net-works, circuit-switched networks, Internet/Web development, and basic concepts in the modeling and analysis of protocols. Software packages are used to provide a basis for coursework and for configuring and simulating various network designs. Prerequisites: 320, 350.

490 Advanced Topics in Computer Science (3)

    Is a study of a specialized topic in the computing field such as Graphics, Pattern Recognition, Networking, Microcomputers, Software Metrics, Data Analysis Techniques or advanced study of a particular language (such as Java, C ++ , Perl, or VRML). Prerequisite: permission of the instructor.

495 Computer Science Seminar (1)

    Provides a weekly discussion of new advances in the field of computer science and their effect on society. Presentations are given by invited speakers, faculty and students. The course can be repeated once for credit. Prerequisite: permission of the instructor.