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Course Criteria
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3.00 Credits
JOUR 340. On-Line Journalism (Computer Assisted Reporting). 3, (0, 3). A computer skill based course designed to teach database research and reporting and editing for the Internet. Students will create their own websites to work on publishable news stories from secondary data bases and reports from correspondents, staff writers, syndicated columnists, press releases, letters, newspaper websites, blogs and other text messages. (S)
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3.00 Credits
JOUR 360: Magazine/Feature Writing. 3, (0, 3). This course will teach techniques of magazine and newspaper feature writing. The process of selecting feature topics, content research and development, timelines, viewpoints, leads, in depth and investigative writing styles, interviews, profiling, attributions, etc. are discussed. (F)
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1.00 Credits
LS 150. Information Literacy and Technology. 1(1,0). This instructional component is an introduction to information retrieval, evaluation and research skills. Students completing these sessions will be able to locate and evaluate information and to think critically about research strategies. Ultimately, the aim of this library component is to empower individuals to become independent information seekers, users of information and lifelong learners.
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3.00 Credits
M 150. Quantitative Reasoning?Mathematics. 3(3,0). A study of how mathematics is used to formulate problems and solve applications problems within the context of the real-world and other disciplines. Quantitative reasoning skills are developed and experience is gained in applying these skills and the methodology of mathematics to analyze quantitative information to make decisions and predictions. Topics include sets, number properties and theory, arithmetic review, consumer mathematics, estimation, measurement, basic geometry, and elementary statistics and probability. Technology is used and writing is emphasized. Prerequisite: None. (F,S)
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3.00 Credits
M 151. Quantitative Reasoning?Algebra. 3(3,0). A study of how algebra is used to formulate problems and solve applications problems within the context of the real world and other disciplines. Quantitative reasoning skills are developed and experience is gained in applying these skills and the methodology of algebra to analyze quantitative information to make decisions and predictions. Topics include operations with polynomials, solutions of inequalities and linear, quadratic, radical and rational equations, operations with exponents, simplifying expressions and basic concepts of functions. Technology is used and writing is emphasized. Prerequisite: M150. (F,S)
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3.00 Credits
M 152. Quantitative Reasoning?Precalculus. 3(3,0). A study of how precalculus is used to formulate problems and solve applications problems within the context of the real world and other disciplines. Quantitative reasoning skills are developed and experience is gained in applying these skills and the methodology of precalculus to analyze quantitative information to make decisions and predictions. Topics include absolute value and inequalities, polynomial, rational, linear, logarithmic, exponential, and trigonometric functions; polar coordinates, solution of triangles, and the conic sections. Technology is used and writing is emphasized. Prerequisite: M151. (F,S)
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3.00 Credits
M 153. Quantitative Reasoning?Calculus. 3(3,0). A study of how calculus is used to formulate problems and solve applications problems within the context of the real world and other disciplines. Quantitative reasoning skills and the methodology of calculus to analyze quantitative information to make decisions and predictions. Topics include functions, limits, continuity, the derivative, and techniques and applications of differentiation. Technology is used and writing is emphasized. Prerequisite: M152. (F,S)
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3.00 Credits
M 154. Quantitative ReasoningBusiness Calculus. 3(3,0). A study of how calculus is used to formulate problems and solve applications problems within the context of the real world and other disciplines. Quantitative reasoning skills are developed and experience is gained in applying these skills and the methodology of calculus to analyze quantitative information to make decisions and predictions. Topics include functions, limits, continuity, the derivative, antiderivative, and techniques and applications of differentiation and integration with emphasis on business and economics. Technology is used and writing is emphasized. Prerequisite: M152. (F,S)
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3.00 Credits
M 155. Introduction to Mathematical Modeling. 3(3,0). A study of mathematical models and how they are used to analyze quantitative information to make decisions and predictions. Topics include percentage change, formulas, statistics, statistical inference, probability and odds, and linear, exponential, and logarithmic functions. The course emphasizes problem solving by means of numerical or geometrical representations of real world phenomena, determining how to solve a problem, formulating alternatives, and predicting outcomes. Writing assignments and the use of technology are an integral part of the course. A written project using student-generated data is required. Prerequisite: M150. (F,S)
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4.00 Credits
M 158. Calculus I. 4(4,0). A study of how calculus is used to formulate and solve application problems in science and engineering. Topics in this course are as follows: Limits, Differentiation and Related Rates, Differentiation Rules, Maximum/Minimum, Optimization Problems, Definite and Indefinite Integrals, Logarithmic, Exponential and Inverse Trigonometric Functions, Differentiation and Integration of Transcendental Functions, Elementary Differential Equations. Emphasis is on science and engineering applications of calculus.
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