2022-23 Academic Courses

Computer Science/Programming (CSCI)

CSCI 100 - Introduction to Programming

Credit(s): 3

This course is an introduction to elementary programming techniques. A wide range of programs will be written by the student and run on a computer. Students learn the techniques of looping, functions and subroutines, arrays, variables and data types, user input/output, file input/output, and appropriate programming practices common to most languages.

CSCI 107 - The Joy and Beauty of Computing

Credit(s): 3

This course examines the computing field and how it impacts the human condition and introduces exciting ideas and influential people. It provides a gentle introduction to computational thinking using the Python programming language.

CSCI 111 - Programming with Java I

Credit(s): 4

This is a foundation course in computer science using the high-level, object-oriented concepts in programming using Java. Topics covered are data types, arrays, basic programming constructs, iteration, decision statements, sequences, methods, exception handling, classes, objects, methods, encapsulation, data hiding, inheritance and polymorphism.

CSCI 113 - Programming with C++ I

Credit(s): 4

This course covers computer programming in C++. Topics covered are data types, arrays, basic programming constructs, iteration, decision statements, sequences, methods, exception handling, pointers, classes, objects, methods, encapsulation, data hiding, inheritance and polymorphism.

CSCI 121 - Programming with Java II

Credit(s): 4

This is a continuation of CSCI 111. Topics include error handling and debugging techniques, recursion, abstract data types, creating programs with multiple files and libraries, and creating straight forward GUI's that involve event driven programming and threaded programs.

CSCI 122 - Game Design Theory

Credit(s): 3

This course provides students with a foundation of the game development process including important historical elements, content creation strategies, production techniques, and future game design. The course covers game development history, platforms, goals and genres, player elements, story and character development, gameplay, levels, interface, audio, development team roles, game development process, and marketing and maintenance.

CSCI 127 - Joy and Beauty of Data

Credit(s): 4

This course provides a gentle introduction to the exciting world of big data and data science. Students expand their ability to solve problems with Python by learning to deploy lists, files, dictionaries and object-oriented programming. Data science libraries are introduced that enable data to be manipulated and displayed.

CSCI 132 - Basic Data Structures and Algorithms

Credit(s): 4

This course is an examination of advanced Java and basic data structures and their application in problem-solving. Data structures include stacks, queues, and lists. It provides an introduction to algorithms and employing the data structures to solve various problems including searching and sorting, and recursion. Students will understand and use Java class libraries and be introduced toBig-O Notation. The laboratory uses Java.

CSCI 203 - Introduction to Hardware Description Language Programming

Credit(s): 4

This course covers programing of Field Programmable Gate Arrays (FPGAs) using a Hardware Description Language such as VHDL (Very High Speed Integrated Circuit Hardware Description Language) to describe combinational and synchronous sequential logic circuits. Functional verification of designs is accomplished using a logic simulator. Students will get hands-on experience implementing digital systems on FPGAs.

CSCI 206 - .NET Applications

Credit(s): 4

This course covers advanced desktop and web application features of the .NET framework. Students will learn Exception Handling, Collections, Linq, Generics, Multithreading, .NET ADO.NET, ADO.NET Entity Framework, ASP.NET Web Forms and MVC, and Object Oriented Programming. Students will use C# language and Microsoft SQL Server for all projects.

CSCI 208 - Game Programming I

Credit(s): 4

This is an introductory course in game programing. The course introduces physics engines, sound engines, graphic engines, creating and editing primitives, textures and meshes, lighting concepts, properties and techniques, and creating terrain and other related topics through the use of the Unreal Gaming Engine or other production platform.

CSCI 209 - Game Programming II

Credit(s): 4

This course builds on skills learned in Game Programming I and covers advanced material construction, working with volumes, applying physics to objects, understanding particle systems, creating user interfaces, introduction to sound, introduction to animation, and creating cinematic sequences. The course will use the Unreal Gaming Engine or another production platform.

CSCI 210 - Web Programming

Credit(s): 4

This course uses PHP to create dynamic data-driven web pages. The emphasis will be on fundamentals of PHP and its syntax for the purpose of linking site pages to databases for queries, data manipulation, and updates. Topics include design and creation of server-side databases for interactive use by web pages; the use of SQL to search, filter, and add data driven by the user; and creation and population of forms and reports with query results.

CSCI 211 - Client Side Programming

Credit(s): 4

This course introduces JavaScript for use in web pages. JavaScript is a popular scripting language that is widely supported in web browsers and other web tools that adds interactive functions to HTML pages. Topics covered are data types and operators, functions and events, the browser object model, form validation, cookie creation, and animation using Dynamic HTML.

CSCI 220 - Virtual/Augmented Reality

Credit(s): 4

This is an introductory class in virtual and augmented reality. The class will examine the basic theories and concepts of virtual and augmented reality, physiological and ergonomics aspects of perception and motion, hardware, interaction, modeling, authoring, and programming. The class will involve projects which may include Google Cardboard, the Unreal Game Platform or other vr/ar platforms and hardware.

CSCI 232 - Data Structures and Algorithms

Credit(s): 4

This course covers advanced data structures and programming techniques and their application. Topics include trees, balanced trees, graphs, dictionaries, hash tables, and heaps. The efficiency and correctness of algorithms are examined. Projects are coded in JAVA.

CSCI 238 - Standards-based Mobile Applications

Credit(s): 4

This is an introductory course in developing mobile applications utilizing industry standard languages, tools, and frameworks. Applications will be created using standards-based HTML 5, Cascading Style Sheets, and JavaScript along with frameworks to assist in the deployment to different mobile platforms. Frameworks such as PhoneGap, Cordova or other suitable platforms will be utilized to gain access to platform devices and sensors.

CSCI 240 - Databases and SQL

Credit(s): 3

This course focuses on the concepts of relational databases. Topics include entity relationship diagrams, design process and normalization, table creation, records and typed fields, primary and foreign keys, and a thorough coverage of Structured Query Language (SQL) to create, query and change a relational database.

CSCI 290 - Undergraduate Research

CSCI 298 - Internship

Credit(s): 3

This course offers a supervised, structured learning experience at an approved business/organization. Students will receive training related to their field of study, enhance their academic learning and gain exposure to the workplace. Prior to placement at an internship site, students will attend an internship orientation to learn the application and internship process.

CSCI 299 - Capstone

Credit(s): 3

This course provides an opportunity for the student to complete special project(s) using knowledge gained in previous coursework. The student can develop an application, mobile app, database or other project(s) related to their major. The end result is a project that can be shared with potential employers. All projects must be approved by the instructor.

Mathematics (M)

M 005 - Co-Requisite Support for M105 Contemporary Mathematics

Credit(s): 1

This course provides support in achieving the M105 learning outcomes. This support will be provided through extra instruction of basic math concepts at the beginning of the semester as well as a more detailed and in depth look at M105 topics throughout the semester.

M 065~ - Prealgebra

Credit(s): 3

This course is designed for those students who need to improve their prealgebra skills. Topics include signed numbers, basic factoring, basic equation solving, an introduction to polynomials, square roots, basic graphing and basic exponent rules.

M 090~ - Introductory Algebra

Credit(s): 4

This course provides an introduction to algebra. The course covers the topics of solving and graphing linear equations, solving systems of linear equations, introductory polynomials and factoring, basic function notation, and graphing and solving basic quadratics. Graphical and algebraic approaches to solving equations and application problems will be used throughout the course.

M 094~ - Quantitative Reasoning

Credit(s): 4

This course is designed for students as the alternative to the traditional algebraic math sequence and to prepare them for college-level math courses emphasizing quantitative methods. Emphasis will be placed on using data and appropriate mathematical models to make decisions, while developing logical reasoning and critical thinking skills. Topics include proportional reasoning, utilizing various graphical representations, linear equations (including systems of linear equations), and basic probability and statistics.

M 095~ - Intermediate Algebra

Credit(s): 4

This course is the second semester of algebra review and provides preparation for pre-calculus.This course concentrates on quadratic, exponential, rational and logarithmic expressions and equations. This course also covers the graphs of functions, inequalities, and solving linear systems of equations.

M 105M - Contemporary Mathematics

Credit(s): 3

This course is an introduction to mathematical ideas and their impact on society. The course is designed to give students the skills required to understand and interpret quantitative information that they encounter, and to make numerically based decisions in their lives. Several math topics will be explored, including basic probability and statistics.

M 114 - Extended Technical Mathematics

Credit(s): 3

This course presents mathematical topics as they are applied in a trades program. Topics covered include use of measuring tools, measurement systems and dimensional analysis, basic algebra topics, scientific notation, applied geometry, right and oblique triangle trigonometry, and exponential and logarithmic formulas. This course is intended for specific programs.

M 115M - Probability and Linear Mathematics

Credit(s): 3

The course will cover systems of linear equations and matrix algebra including linear programming. An introduction to probability with emphasis on models and probabilistic reasoning will be covered. Examples of applications will be demonstrated from a wide variety of fields.

M 120 - Mathematics with Health Care Applications

Credit(s): 3

This course is designed to provide students with a solid mathematical foundation necessary to succeed in a health care profession. This course will review algebra, measurements used in health care fields, dimensional analysis, and graphs and basic statistics.

M 121M - College Algebra

Credit(s): 3

This course is the first semester of a precalculus series. Topics covered include equations, systems of linear equations and methods of solution (including matrices), exponents and radicals, linear and quadratic functions (and their graphs), exponential and logarithmic functions (and their graphs), sequences and series.

M 122M - College Trigonometry

Credit(s): 4

This course is the second semester of a precalculus series. Trigonometric functions are introduced using the circular and angular definitions. Trigonometric graphs, identities, equations and applications are investigated. Polar coordinates, polar graphs and conic sections are also covered.

M 123 - Surveying Mathematics I

Credit(s): 2

This course includes geometry, particularly perimeter, circumference, area and volume, and trigonometry. Trigonometry topics are both right angle and oblique angle triangles.

M 124 - Surveying Mathematics II

Credit(s): 3

This course includes analytical geometry and calculus. The calculus topics are derivatives and integrals of functions of one variable.

M 132M - Number and Operations for K-8 Teachers

Credit(s): 3

This course focuses on the study of numbers and operations for prospective elementary and middle school teachers. Topics include all subsets of the real number system, arithmetic operations and algorithms, numeration systems and problem solving.

M 133M - Geometry and Geometric Measurement for K-8 Teachers

Credit(s): 3

This course focuses on the study of geometry and geometric measurement for prospective elementary and middle school teachers. Topics include synthetic, transformational and coordinate geometry, Euclidean constructions, congruence and similarity, 2D and 3D measurement, and problem solving.

M 140M - College Math for Healthcare

Credit(s): 3

This course will apply mathematical reasoning and problem solvingto the healthcare field. Topics covered include operations in the real number system, linear functions, exponential and logarithmic functions, dimensional analysis, concentration calculations, proportional reasoning, introductory statistics (including basic regression analysis), and introductory probability concepts. This course is intended for students pursuing healthcare programs.

M 153M - Precalculus Trigonometry

Credit(s): 4

M 162M - Applied Calculus

Credit(s): 4

This course is an applications oriented approach to differential and integral calculus. Topics covered are limits, derivatives, applications of derivatives, definite integrals, and applications of the definite integral; these topics are covered for functions of one variable, including exponential, logarithmic and trigonometric functions. Applications of the calculus will be demonstrated through a technology component for the course.

M 171M - Calculus I

Credit(s): 5

This is the first of three standard courses in calculus, the others are M 172and M 273. The course includes limits and continuity, derivatives, applications of derivatives and integration. The types of functions studied include algebraic, trigonometric, exponential, and logarithmic.

M 172M - Calculus II

Credit(s): 5

This is the second of three standard courses in calculus. The course includes transcendental functions, applications and techniques of integration, infinite series, parametrized curves, and polar curves.

M 189 - Typesetting Technical Documents Using LaTeX

Credit(s): 1

LaTeX is a free typesetting system which is widely used for producing scientific and technical papers and presentations. In this course, students will learn how to typeset journal articles, technical reports, and slide presentations. Course topics include typesetting mathematical formulas, generating bibliographies and indexes, displaying tables, matrices and arrays, and importing graphics.

M 221M - Introduction to Linear Algebra

Credit(s): 4

The study of vectors in the plane and space, systems of linear equations, matrices, determinants, linear transformations, eigenvalues, and eigenvectors. Calculators and/or computers are used where appropriate.

M 225M - Introduction to Discrete Mathematics

Credit(s): 4

The study of mathematical elements of computer science including propositional logic, predicate logic, sets, functionsand relations, combinatorics, mathematical induction, recursionand algorithms, matrices, graphs, trees, structures, morphisms, Boolean algebra, and computer logic.

M 234 - Higher Mathematics for K-8 Teachers

Credit(s): 3

This course focuses on the study of algebra, number theory, probability and statistics for prospective elementary and middle school teachers. Topics include proportional reasoning, functions, elementary number theory, statistical modeling and inference, and elementary probability theory.

M 242 - Methods of Proof

Credit(s): 3

Methods of Proof is an introduction to the axiomatic nature of modern mathematics. Emphasis is placed on the different methods of proof that can be used to prove a theorem. Mathematical topics discussed include symbolic logic, methods of proof, specialized types of theorems and proofs.

M 273M - Multivariable Calculus

Credit(s): 5

This is the third semester of a three semester sequence in calculus, intended for students majoring in engineering, mathematics, chemistry, or physics. It includes vectors, vector-valued functions, partial derivatives, multiple integrals, and integration in vector fields.

M 274M - Introduction to Differential Equations

Credit(s): 4

This is a first course in ordinary differential equations. Topics may includelinear and non-linear first order differential equations and systems, existence and uniqueness for initial value problems, series solutions, Laplace Transformations, and linear equations of second and higher order. Applications includeforced oscillation, resonance, electrical circuits, and modeling differential equations.

M 290 - Undergraduate Research

Credit(s): 1

Undergraduate research under the supervision of a full-time faculty member. This course may be repeated for a total of ten credits. Students receiving financial aid or veteran benefits should check with the Financial Aid Office before repeating this course.

Statistics (STAT)

STAT 216M - Introduction to Statistics

Credit(s): 4

Graphical methods, measures of location and dispersion, probability, commonly used distributions, estimation, and tests of hypotheses through analysis of variance are introduced. Five major probability distributions are discussed: the binomial, normal, student's t, chi-square, and the F distribution.