Technical Studies, Degree (TS23)  Degree

Weekly Contact Hours: Lecture - 3 Lab 2 - 0 Lab 3 - 0 Pre-requisite(s): Degree Level Reading and Writing Scores Co-requisite(s): None Explores the analysis of literature and articles about issues in the humanities and in society. Students practice various modes of writing, ranging from exposition to argumentation and persuasion. The course includes a review of standard grammatical and stylistic usage in proofreading and editing. An introduction to library resources lays the foundation for research. Topics include writing analysis and practice, revision, and research. Students write a research paper using library resources and using a formatting and documentation style appropriate to the purpose and audience.

Weekly Contact Hours: Lecture - 3 Lab 2 - 0 Lab 3 - 0 Pre-requisite(s): Degree Level Math Scores Co-requisite(s): None Emphasizes algebra, statistics, and mathematics of finance. Topics include fundamental operations of algebra, sets and logic, probability and statistics, geometry, mathematics of voting and districting, and mathematics of finance.

Weekly Contact Hours: Lecture - 3 Lab 2 - 0 Lab 3 - 0 Pre-requisite(s): Degree Level Math Scores Co-requisite(s): None Emphasizes functions using real-world applications as models. Topics include fundamental concepts of algebra; functions and graphs; linear, quadratic, polynomial, exponential, and logarithmic functions and models; systems of equations; and optional topics in algebra.

Weekly Contact Hours: Lecture - 3 Lab 2 - 0 Lab 3 - 0 Pre-requisite(s): Degree Level Math Scores Co-requisite(s): None Emphasizes techniques of problem solving using algebraic concepts. Topics include fundamental concepts of algebra, equations and inequalities, functions and graphs, and systems of equations; optional topics include sequences, series, and probability or analytic geometry.

Weekly Contact Hours: Lecture - 3 Lab 2 - 0 Lab 3 - 0 Pre-requisite(s): Degree Level Math Scores Co-requisite(s): None This course focuses on quantitative skills and reasoning in the context of experiences that students will be likely to encounter. The course emphasizes processing information in context from a variety of representations, understanding of both the information and the processing, and understanding which conclusions can be reasonably determined. Students will use appropriate technology to enhance mathematical thinking and understanding. Topics covered in this course include: sets and set operations, logic, basic probability, data analysis, linear models, quadratic models, exponential and logarithmic models, geometry, and financial management.