2019-2020 Catalog 
    
    Sep 22, 2024  
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2019-2020 Catalog [ARCHIVED COPY]

GGC Course Listing

 

Information Technology
  

  • ITEC 4900 - Information Technology Internship

    (3) Credit Hours
    Prerequisite: ITEC 2150 , ITEC 3100 , ITEC 3200 , ITEC 3900  and permission of Internship Coordinator
    Additional Requirement: Windows based laptop or Apple MacBook (see IT Laptop Program @ www.ggc.edu/itlaptop)
    Internships are supervised experiential experiences in an ITEC related field. Upon completion of the course, the student will (1) Acquire real world job experience by successfully completing an internship with a company or organization, (2) Utilize effective oral and written communication with customers, clients, supervisors, and other employees in the working environment, (3) Obtain skills to assist with the transition from academia to the organizational environment, and (4) Demonstrate critical thinking and problem analysis, utilizing various tools and technologies.

Integrated Science
  

  • ISCI 2001 - Integrated Life/Earth Science

    (3) Credit Hours
    Prerequisite: Completion of the Area D Science requirement with grade of C or better in each course
    This course is an integrated science course covering major concepts in the areas of life and earth science. The course will emphasize the nature and skills of science as well as the understanding of major science concepts and principles in these fields. The use of an inquiry based approach throughout the course will enhance the application of these concepts to the teaching of elementary and middle grades students. Upon completion of the course, students will: 1) Demonstrate scientific method and the process of scientific inquiry; 2) Describe the organization of life from the cellular level to the ecosystem; 3) Understand how organisms interact with their environment; 4) Understand the geological processes that shape the earth and their impact on the biosphere; 5) Demonstrate understanding of the components of the solar system; 6) Communicate effectively regarding scientific topics in oral and written form using appropriate scientific terminology; 7) Apply scientific concepts covered in the course to global issues and perspectives including newsworthy scientific stories.
  

  • ISCI 2002 - Integrated Physical Science

    (3) Credit Hours
    Prerequisite: Completion of the Area D Science requirement with grade of C or better in each course
    This course is an integrated science course covering major concepts in the area of physics and chemistry.  The course will emphasize the nature and skills of science as well as the understanding of major science concepts and principles in these fields.  The use of an inquiry based approach throughout the course will enhance the application of these concepts to the teaching of elementary and middle grades students.  Upon completion of the course, students will: 1) explain the importance of curiosity, honesty, openness, and skepticism in science; 2) appropriately use tools and instruments for observing, measuring and manipulating data in scientific activities; 3) demonstrate basic computational and estimation skills necessary for analyzing data and following scientific explanations; 4) use the ideas of system, model, change, and scale in exploring scientific and technological concepts; 5) communicate effectively regarding scientific topics in oral and written form using appropriate scientific terminology; 6) identify fundamental physics concepts related to energy, motion, force, waves, electricity, and magnetic fields as they relate to real work systems; 7) identify fundamental chemistry concepts related to matter, chemical bonds, mixtures, compounds, and chemical reactions as they relate to real world systems.

     

    Students who have successfully completed the course will: 1) describe dose-response relationships; 2) describe absorption, distribution, storage, bio transformation and elimination of toxicants; 3) describe the chemo dynamics of contaminants in the environment including fate and transport; 4) perform risk assessment; 5) describe methods to test and regulate hazardous substance.

  

  • ISCI 2500 - Physics and Earth Sciences

    (2) Credit Hours
    Prerequisite: MATH 1113  with concurrency or (MATH 1111  and ISCI 2002 )
    This course is designed for students in the School of Science and Technology who are majoring in Biology and are seeking certification in Biology Teacher Certification Program or who are majoring in Middle Grades in the School of Education and have selected science as one of their two areas of content concentration.  It does not meet the requirements for other Biology major tracks.  This is an interdisciplinary science course that gives prospective teachers a background in physics and earth science, as required by State certification  standards based on NSTA (National Science Teachers Association) Next Generation Science standards and required by the GaPSC (Georgia Professional Standards Commission) regulations.  Topics to be covered include:  Physics (1-D motion, gravity, Newton’s laws, work, types of energy, conservation of energy, electromagnetism, DC and AC circuits and waves), Astronomy (stars, galaxies and the Solar System), Geology (history and structure of Earth, plate tectonics, water cycle, natural resources and weathering) and Climate (the atmosphere, climate weather forecasting and climate change). Basic algebra is used.  Upon completion of this course students will be able to: 1) Apply the scientific method; 2) Construct and interpret charts, graphs, and tables to drawn conclusions; 3) Use computational and estimation skills to analyze data and compose scientific explanations; 4) Communicate scientific information effectively in oral and written form using appropriate terminology and media.
  

  • ISCI 3800 - Broad Field Science and Chemistry

    (2) Credit Hours
    Prerequisite: CHEM 2211K  , and (PHYS 1112K  or PHYS 2212K  )
    In this course, students will learn how to set up, manage, and execute chemistry experiments appropriate for Grades 6 to 12 while covering major concepts in selected areas of life and earth science.  The course focuses on conveying a specialized set of skills required to teach secondary school science, which include developing technical expertise in creating and preparing chemistry lab experiments, and using inquiry based approaches to emphasize the scientific skills, methods, concepts and principles applicable to chemistry and allied fields.  Specifically, this course will prepare students to: 1) apply the scientific method, the process of scientific inquiry, ad effectively communicate in oral and written form scientific information, 2) safely plan, prepare, facilitate, and clean-up educational laboratory exercises centered around chemical applications to biological, earth, and materials science, and 3) apply scientific concepts to issues in society, business, industry, and health fields.

Leadership
  

  • LEAD 3000 - Essentials of Leadership

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    This course introduces students to the foundations of leadership, necessary to be effective leaders in organizations. The course provides an overview of the major theories of leadership, as well as an understanding of basic leadership principles necessary to effectively lead organizations.
  

  • LEAD 3100 - Leading Organization Change

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    This course investigates processes of planned organizational change with emphasis on organizational change theory, organizational diagnosis, change intervention strategies, overcoming resistance to change and the role of power and influence.
  

  • LEAD 3500 - Leadership in Teams

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    This course introduces students to leadership in teams, emphasizing topics such as interpersonal dynamics, conflict management and negotiation, leadership in diverse organizations and managing diversity, and relevant ethical and social issues. Students will be exposed to discussion on questions including how to inspire others, how to mobilize people and harness difference, how to thrive in a team, how to lead change, how to overcome adversity and failure, etc. This course emphasizes the foundations of leadership necessary to be effective leaders in organizations and provides an overview of the major theories of leadership, as well as an understanding of basic leadership principles necessary to effectively lead organizations.
  

  • LEAD 3700 - Decision Making and Creative Problem Solving

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    This course focuses on making decisions and developing creative solutions to difficult problems within an organizational context. Students will have the opportunity to learn about various decision making models, including the process of creative problem solving. To achieve this goal students will gain substantial hands on experience with creative problem solving and problem solving techniques that are applied to a number of domains (i.e. leadership, change, entrepreneurship, conflict management etc.) and will also be exposed to the concept of situational constraints on decision making. This course also introduces heuristics for the application of various decision making models to help students understand when various techniques are appropriate.
  

  • LEAD 4100 - Global Leadership

    (3) Credit Hours
    Prerequisite: LEAD 3000 ; BUSA 3200 ; or Consent of Instructor
    This course examines the traits, skills and behaviors needed to be an effective leader in a global context. Leadership theory, organizational building, social change and interdisciplinary approaches to complex global issues will be the main components of this course.
  

  • LEAD 4750 - Leadership Practicum

    (3) Credit Hours
    Prerequisite: MGMT 4350 ; Senior standing or permission of the instructor
    This course gives students an opportunity to identify, plan, implement and evaluate a leadership project within the context of a community-based organization. Students will work as part of a team to identify a project, in collaboration with the organization’s leaders, that will benefit the organization and will allow the students to further develop their leadership skills. The project will be carried out under the guidance of the course faculty member and a designated member of the organization.

Mathematics
  

  • MATH 0997A - Support to Quantitative Reasoning ACCESS

    (3) Credit Hours
    Co-requisite: MATH 1001  
    This Learning Support course provides co-requisite support in mathematics for students enrolled in MATH 1001 - Quantitative Reasoning.  Topics will parallel topics being studied in MATH 1001 and the course will provide support for the essential quantitative skills needed to be successful in MATH 1001.  Taken with MATH 1001, topics to be covered will include logic, basic probability, data analysis and modeling from data.
  

  • MATH 0997B - Support for Quantitative Reasoning - Access Reasoning

    (2) Credit Hours
    Co-requisite: MATH 1001  
    This Learning Support course provides co-requisite support in mathematics for students enrolled in MATH 1001 - Quantitative Reasoning.  Topics will parallel topics being studied in MATH 1001 and the course will provide support for the essential quantitative skills needed to be successful in MATH 1001.  Taken with MATH 1001, topics to be covered will include logic, basic probability, data analysis and modeling from data.
  

  • MATH 0998A - Introduction to Mathematical Modeling Support

    (3) Credit Hours
    Co-requisite: MATH 1101*  
    MATH 0998A: This 3 credit hour course is designed to support a student takingMATH 1101*  with just in time assistance.  Topics will be parallel topics being studied in MATH 1101*  as well as the essential algebraic skills needed to be successful in MATH 1101*  .

    Students who have successfully completed this course will:

    1) Model situations from a variety of settings in mathematical forms by extracting quantitative data from a given situation, translating the data into information in various modes, evaluating the information , abstracting essential information, making logical deductions, and arriving at reasonable conclusions; 2) Manipulate mathematical information, concepts, and thoughts in verbal, numeric, graphical and symbolic form while solving a variety of problems; 3) Solve multiple-step problems through different (inductive, deductive and symbolic ) modes of reasoning;  4) Express mathematical information , concepts, and thoughts in verbal, numeric, graphical and symbolic form while solving a variety of problems; 5) Shift among the verbal, numeric, graphical and symbolic modes of considering relationships; 6) Use appropriate technology in the evaluation, analysis, and synthesis of information in problem-solving situations.

  

  • MATH 1001 - Quantitative Skills and Reasoning

    (3) Credit Hours
    Prerequisite: HSGPA >=3.2 or ACT MATH=17 or SAT MATH >=400 or ACCM >=67 or ACCNGM>=258 AND ACT ENGL >=17 or SAT CR READ >=430 or (ACCR >=61 and ACCW >=4) or (ACCNGR>=237 and ACCW>=4) or ENGL 1101, ENGL 1101H, ENGL 1101*, ENGL 1101^ concurrently
    This course emphasizes quantitative reasoning skills needed for informed citizens to understand the world around them. Topics include logic, basic probability, data analysis, and modeling from data. After successfully completing this course, students will be able to: 1. Interpret and use precise mathematical language appropriately, including (but not limited to) the areas of set theory, logic, probability and statistics. 2. Use appropriate technology in the evaluation, analysis, and synthesis of information in problem-solving situations. 3. Use logical connectors appropriately to form compound statements and apply them to ap0plications such as searching databases. 4. Read, interpret, and present data in multiple representations, especially graphical and numerical. 5. Create and analyze combinatorial arguments using tools such as permutations and combinations. Note: This course is an alternative in Area A of the Core curriculum and is not intended to supply algebraic background for students who intend to take Pre-Calculus or the Calculus sequences for mathematics and science majors.
  

  • MATH 1101* - Introduction to Mathematical Modeling

    (3) Credit Hours
    Prerequisite: HSGPA < 3.0 or ACT MATH <17 or SAT MATH <400 or ACCM <67 or ACCNGM<266 AND HSGPA 3.1 or ACT ENGL >=17 or SAT Cr. Reading >=430 or (ACCR >=61 and ACCW >=4) or (ACCNGR>=237 and ACCW>=4) or ENGL 1101  or ENGL 1101* or ENGL 1101^ or ENGL 1101H  
    Co-requisite: MATH 0998A
    This course is an introduction to mathematical modeling using graphical, numerical, symbolic, and verbal techniques to describe and explore real-world data and phenomena. Emphasis is on the use of elementary functions to investigate and analyze applied problems and questions, supported by the use of appropriate technology, and on effective communication of quantitative concepts and results.

    Students who have successfully completed this course will: 1) Model situations from a variety of settings in mathematical forms by extracting quantitative data from a given situation, translating the data into information in various modes, evaluating the information , abstracting essential information, making logical deductions, and arriving at reasonable conclusions;  2) Manipulate mathematical information, concepts, and thoughts in verbal, numeric, graphical and symbolic form while solving a variety of problems; 3) Solve multiple-step problems through different (inductive, deductive and symbolic ) modes of reasoning;  4) Express mathematical information , concepts, and thoughts in verbal, numeric, graphical and symbolic form while solving a variety of problems; 5) Shift among the verbal, numeric, graphical and symbolic modes of considering relationships; 6) Use appropriate technology in the evaluation, analysis, and synthesis of information in problem-solving situations.

  

  • MATH 1111 - College Algebra

    (3) Credit Hours
    Prerequisite: HSGPA>= 3.4 or ACT MATH >=20 or SAT MATH >=470 or ACCM >=79 or ACCNGM>=266 or MATH 1001, 1101*, 1001* with a C or better AND ACT ENGL >=17 or SAT CR READ >=430 or (ACCR>=61 and ACCW >=4) or (ACCNGR>=237 and ACCW>=4) or ENGL 1101, 1101*, 1101^, 1101H concurrently.
    This course provides an in-depth study of the properties of algebraic, exponential and logarithmic functions as needed for calculus. Emphasis is on using algebraic and graphical techniques for solving problems involving linear, quadratic, piece-wise defined, rational, polynomial, exponential, and logarithmic functions. Upon completion of this course a student will be able to: 1. Express and analyze relationships using functions in multiple ways (graphical, numerical, symbolic and verbal); 2. Model situations using appropriate functions (linear, quadratic, higher-degree polynomial, exponential and logarithmic); 3. Demonstrate mathematical creativity and critical thinking by applying problem-solving strategies to solve multiple-step problems involving polynomial, exponential and logarithmic equations and inequalities and systems of linear equations; 4. Manipulate mathematical information and concepts to solve problems using multiple representations of polynomial, exponential and logarithmic functions; 5. Use mathematical language appropriately; 6. Use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.
  

  • MATH 1113 - Pre-calculus

    (4) Credit Hours
    Prerequisite: SAT MATH ≥550, ACT MATH score ≥24, ACLM <=60 or MATH 1111 ;  ENGL 0999  
    This course is designed to prepare students for calculus, physics and related technical subjects. Upon completion of this course a student will be able to: (1) express and analyze relationships using functions in multiple ways (graphical, numerical, symbolic and verbal); (2) model situations using appropriate functions (linear, quadratic, higher-degree polynomial, exponential, logarithmic, rational and trigonometric); (3) demonstrate mathematical creativity and critical thinking in applying appropriate functions to solve a variety of mathematical problems; (4) manipulate mathematical information and concepts to solve problems using multiple representations of polynomial, exponential, logarithmic, rational and trigonometric functions; (5) demonstrate advanced algebraic manipulation skills; (6) interpret and use precise mathematical language appropriately; (7) use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.
  

  • MATH 1113H - Pre-Calculus Honors

    (4) Credit Hours
    Prerequisite: SAT math ≥550, ACT math score ≥24 OR MATH 1111 ; ENGL 0999  
    Co-requisite: Enrollment in the GGC First Year Honors Experience or Honors Program; or, permission of the Dean of the School of Science and Technology and the Director of the GGC Honors Programs.
    This course is designed to prepare students for calculus, physics and related technical subjects. Upon completion of this course a student will be able to: (1) express and analyze relationships using functions in multiple ways (graphical, numerical, symbolic and verbal); (2) model situations using appropriate functions (linear, quadratic, higher-degree polynomial, exponential, logarithmic, rational and trigonometric); (3) demonstrate mathematical creativity and critical thinking in applying appropriate functions to solve a variety of mathematical problems; (4) manipulate mathematical information and concepts to solve problems using multiple representations of polynomial, exponential, logarithmic, rational and trigonometric functions; (5) demonstrate advanced algebraic manipulation skills; (6) interpret and use precise mathematical language appropriately; (7) use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations. The instructor will assign Honors projects as part of the course. This course offers an integrated educational experience providing you with opportunities where applicable to explore the meanings of and develop abilities related to the four core values espoused by the college and our Honors Programs: leadership, creativity, service, and scholarship. In part, this means that Math 1113-H consistently will challenge you and offer you learning opportunities that fully support the College’s Vision and Mission via the promotion of a dynamic learning community.
  

  • MATH 2000 - Statistics

    (3) Credit Hours
    Prerequisite: MATH 1111  or MATH 1001  
    A non-calculus introduction to descriptive and inferential hypothesis testing, linear regression and correlation, the normal distribution and estimation. Upon completion of the course students will be able to: (1) see statistical analysis as a practical and useful tool in today’s society; (2) understand that variability is natural, predictable and quantifiable; (3) know the parts of the process through which statistics works to answer questions; (4) choose the appropriate graph and analysis technique(s) to address research questions; (5) communicate the results of a statistical study in the context of the given scenario, including scope of inference and causality; (6) use statistical language appropriately; (7) use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.
  

  • MATH 2008 - Foundations of Numbers and Operations

    (3) Credit Hours
    Prerequisite: MATH 1001  or MATH 1111  or MATH 1113  
    This course is an Area F introductory mathematics course for Elementary Education majors. This course will emphasize the understanding and use of the major concepts of numbers and operations. Additional topics may include geometry, data analysis and probability, problem solving, logic, statistics and measurement. As a general theme, strategies of problem solving will be used and discussed in the context of various topics. Upon completion of this course, elementary education students will be able to: (1) Solve problems using multiple strategies, manipulative and technological tools; interpret solutions; and determine the reasonableness of answers and efficiency of methods (IEE 2, IEE 3); (2) Communicate using precise mathematical terminology (IEE 1); (3) Construct and justify arguments as well as interpret solutions; and determine reasonableness of answers and efficiency of methods; (4) Understand numbers, ways of representing numbers, relationships among numbers and number systems; (5) Understand meanings of operations and how they relate to one another.
  

  • MATH 2200 - Calculus I

    (4) Credit Hours
    Prerequisite: MATH 1113  or MATH 1113H  
    An introduction to differential calculus. Upon completion of this course a student will be able to: (1) interpret and use precise mathematical language and be able to construct and follow mathematical proofs; (2) use a complete catalog of the tools of calculus (e.g., limits, continuity, differentiation and integration); (3) demonstrate mathematical creativity and critical thinking by applying problem-solving strategies to solve multiple-step calculus problems; (4) demonstrate an understanding of the interconnectedness between the major topics in the course from various perspectives (i.e. graphical, numerical, symbolic and verbal); (5) Use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.
  

  • MATH 2200H - Calculus I Honors

    (4) Credit Hours
    Prerequisite: MATH 1113  or MATH 1113H  
    Co-requisite: Enrollment in the GGC First Year Honors Experience or Honors Program; or, permission of the Dean of the School of Science and Technology and the Director of the GGC Honors Programs.
    An introduction to differential calculus. Upon completion of this course a student will be able to: (1) interpret and use precise mathematical language and be able to construct and follow mathematical proofs; (2) use a complete catalog of the tools of calculus (e.g., limits, continuity, differentiation and integration); (3) demonstrate mathematical creativity and critical thinking by applying problem-solving strategies to solve multiple-step calculus problems; (4) demonstrate an understanding of the interconnectedness between the major topics in the course from various perspectives (i.e. graphical, numerical, symbolic and verbal); (5) Use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations. The instructor will assign Honors projects as part of the course. This course offers an integrated educational experience providing you with opportunities where applicable to explore the meanings of and develop abilities related to the four core values espoused by the college and our Honors Programs: leadership, creativity, service, and scholarship. In part, this means that Math 2200-H consistently will challenge you and offer you learning opportunities that fully support the College’s Vision and Mission via the promotion of a dynamic learning community.
  

  • MATH 2210 - Calculus II

    (4) Credit Hours
    Prerequisite: MATH 2200  or MATH 2200H  
    A continuation of Calculus I. Topics include application of definite integrals; derivatives and integrals with inverse trigonometric functions; indeterminate forms and l’Hopital’s rule; techniques of integration; polar coordinates; infinite sequences and series. Upon completion of this course a student will be able to: (1) interpret precise mathematical language and be able construct and follow mathematical proofs; (2) use a complete catalog of the tools of calculus (e.g., limits, continuity, differentiation and integration0; (3) demonstrate mathematical creativity and critical thinking by applying problem-solving strategies to solve multiple-step calculus problems; (4) demonstrate an understanding of the interconnectedness between the major topics in the course from various perspectives (i.e. graphical, numerical, symbolic and verbal); (5) use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.
  

  • MATH 2220 - Calculus III

    (3) Credit Hours
    Prerequisite: MATH 2210  
    In this course, the concepts of single variable calculus are extended to functions of more than one variable and vector valued functions. Topics from vector analysis and multivariate calculus will include vector calculus, directional and partial differentiation, gradients, differential calculus of vector valued functions, multiple, iterated, line and surface integrals and applications of these concepts. Upon completion of this course a student will be able to: (1) interpret and use precise mathematical language and be able to construct and follow mathematical proofs involving the calculus of vector-valued functions and functions of several variables; (2) analyze functions of several independent variables using differential calculus, algebraically and geometrically in Cartesian or other coordinate systems: (3) use multivariate calculus to solve optimization problems involving functions of several variables, including constrained problems, and be able to identify and interpret critical points of such functions; (4) use integral calculus of multivariable functions to solve physical and geometrical problems in Cartesian cylindrical, and spherical coordinate systems; (5) use a complete catalog of the tool of multivariable differential and integral calculus (e.g., limits multivariable functions, vector fields, derivatives and integrals of vector fields); (6) demonstrate mathematical creativity and critical thinking by applying problem-solving strategies to solve multiple-step problems involving the differential and integral calculus of vector fields and multivariable functions; (7) Use appropriate technology in the evaluation, analysis, and synthesis of information in problem-solving situations involving the calculus of vector fields and multivariable functions.
  

  • MATH 2300 - Discrete Math

    (3) Credit Hours
    Prerequisite: MATH 1111  
    The study of objects and ideas that can be divided into separate or discontinuous parts. Upon completion of this course students will be able to: (1) Reason mathematically and use mathematical language appropriately to demonstrate an understanding of comprehending and constructing mathematical arguments; (2) perform combinatorial analysis to solve counting problems and analyze algorithms; (3) demonstrate an understanding of discrete structures including sets, permutations, relations, graphs and trees; (4) demonstrate algorithmic thinking using mathematical creativity and critical thinking by specifying algorithms, verifying that algorithms work and analyzing the time required to perform specific algorithms; (5) use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.
  

  • MATH 2450 - Linear Algebra

    (3) Credit Hours
    Prerequisite: MATH 2200  
    Upon successful completion of the Linear Algebra I course, the students should be able to: (1) Perform computations involving vectors, matrices and systems of linear equations, both by-hand and using appropriate technology; (2) Identify real-world applications which can be modeled using systems of linear equations, and develop linear models for these problems (e.g., linear regression models for statistics problems); (3) Use appropriate technology to solve large-scale systems of linear equations; (4) State the rules (axioms) which vector spaces/subspaces must obey, and check whether a given nonempty set of objects is a vector space/subspace; (5) Recognize linear transformations from one vector space into another vector space and identify special sets of vectors including the kernel and the range; and (6) Determine eigenvector and eigenvalue pairs, and use them to analyze problems (e.g., the long-term behavior of a dynamical system).
  

  • MATH 2500 - Foundations of Mathematics

    (3) Credit Hours
    Prerequisite: MATH 2210  
    An introduction to the language and tools used in upper level mathematics courses. After completing this course, students should be able to: (1) Construct a rigorous mathematical proof using a variety of techniques including induction, contradiction, and contrapositive; (2) Determine whether a mathematical argument is valid given the appropriate content background, and identify the flaws in an invalid mathematical argument; (3) Use the tools of naïve set theory;(4) Demonstrate a knowledge of and ability to use various foundational mathematical concepts such as functions, relations, ordering and cardinality.
  

  • MATH 2600 - Mathematical Modeling

    (3) Credit Hours
    Prerequisite: MATH 2200  
    This course is an introduction to the application of mathematical models to real systems in areas including chemistry, biology, physics and economics. Upon completion of this course, students will be able to (1) Identify the salient characteristics of a mathematical model; (2) Apply a mathematical modeling process to translate real-world problems into models; (3) Evaluate and apply mathematical methods, including estimation, optimization, simulation, and sensitivity analysis; (4) Evaluate different technologies and apply them to the development and analysis of mathematical models; (5) Classify and apply discrete or continuous, probabilistic or deterministic, and empirical or theoretical models; (6) Collaborate as members of a team throughout the development and analysis of mathematical models; (7) Communicate aspects of a mathematical model including the development, results, and conclusions in both oral and written forms.
  

  • MATH 3000 - Applied Statistics

    (3) Credit Hours
    Prerequisite: MATH 2000  
    Applied Statistics is designed to prepare students to use a variety of statistical packages to solve real-world problems. The course will cover and expand on the statistical concepts covered in MATH 2000 , including descriptive statistics, probability distributions, regression, one and two -sample tests, and ANOVA. Upon successful completion of the Applied Statistics course, the students should be able to: 1) Calculate and interpret statistical measures of a dataset. 2) Develop and apply graphical representations of univariate and multivariate data. 3) Perform simulations to generate data in order to solve applied problems. 4) Analyze data through a series of inferential methods such as hypothesis tests, confidence intervals, and regression. 5) Demonstrate proficiency using major statistical packages.
  

  • MATH 3008 - Numeracy

    (3) Credit Hours
    Prerequisite: Admission to Teacher Education
    The course is part of the Special Education major and is designed to help teachers adapt instruction for students with exceptionalities in mathematics. Course content includes assessing the nature and level of students’ P-12 mathematics using a model of mathematical learning and designing developmentally appropriate instruction based on the results of such assessments. Course Outcome Goals: This course focuses on preparing special education majors to: (1)Identify students who have a mathematical learning disability by knowing and applying the various criteria for mathematical learning disabilities. (2)Use models of mathematical learning to identify the nature or type of a mathematical learning disability. (3)Use models of mathematical learning to develop instruction that allows students with mathematical learning disabilities to achieve required numeracy standards.
  

  • MATH 3011 - Geometry for Teachers

    (3) Credit Hours
    Prerequisite: MATH 2008  
    Math 3011 is designed to prepare students to teach geometry up to grade level 6. MATH 3011 is a content course that gives prospective teachers a deeper understanding of geometry and measurement. This course may not be used to satisfy degree requirements for students majoring in Mathematics. Upon complete of this course students will be prepared to teach geometry by being able to: (1) Demonstrate mathematical creativity and critical thinking by applying geometric understanding to solve a variety of mathematical problems using multiple representations. (2) Interpret and use mathematical language appropriately. (3) Use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations. (4) Use geometric applications and procedures to present methods, results and conclusions both in written and oral form. (5) Analyze characteristics and properties of two- and three-dimensional geometric shapes and develop mathematical arguments about geometric relationships. (6) Specify locations and describe spatial relationships using coordinate geometry and other representational systems. (7) Apply transformations and use symmetry to analyze mathematical situations. (8) Use visualization, spatial reasoning and geometric modeling to solve problems.
  

  • MATH 3021 - Geometry

    (3) Credit Hours
    Prerequisite: MATH 1113   and Admission to the Educator Preparation Program or Permission of Instructor
    Designed to prepare prospective middle grades and high school teachers to become effective facilitators in teaching geometry, this course develops geometry as an axiomatic mathematical system and approaches it from multiple perspectives (including higher dimensions), including transformational and algebraic treatments.  In addition to an in-depth study of Euclidean geometry, an exposure to various non-Euclidean geometries (e.g. projective, taxi-cab, hyperbolic) is given.   Students are exposed to diverse models of teaching and learning, including but not limited to:  Direct Instruction, Technology-Driven Labs, Synthetic Explorations and Inquiry-Based Learning.
    After successfully completing this course, students will be prepared to teach a middle grades or high school geometry course by being able to:1) Analyze and summarize the axiomatic foundations of Euclidean geometry. 2).Construct proofs of theorems and solve problems in two and three-dimensional Euclidean geometry through synthetic and/or transformational approaches. 3) Demonstrate familiarity and conceptual fluency in the skills explicitly expressed in state and national mathematics standards for Geometry (NCTM, GACE, GASOE).
    4) Organize and prepare content-relevant lessons integrating multiple appropriate modes of instruction  (e.g. direct instruction, inquiry-based experiences, physical and technological laboratories). 5) Show skill with appropriate software as a tool to facilitate both problem solving and instruction.
     
  

  • MATH 3100 - Differential Equations I

    (3) Credit Hours
    Prerequisite: MATH 2210 , MATH 2450  
    Math 3100 provides students with a foundation modeling with and solving differential equations. The course will include coverage of solution methods, existence and uniqueness of solutions and approximation methods. Applicability of differential equations to a variety of physical phenomena will be explored. After completing this course, students should be able to (1) Identify and classify various types of differential equations. (2) Find general and particular solutions of first-order linear differential equations by various methods, including integrating factors, separation of variables and Bernoulli methods. (3) Find general and particular solutions of second-order linear differential equations by various methods, including reduction of order, undetermined coefficients, variation of parameters and solution by series. (4) Use Laplace transforms to solve differential equations. (5) Use differential equations to model physical phenomena. (6) Solve systems of first-order linear equations using various methods, including finding eigenvalues and eigenvectors. (7) Use technology to analytically and numerically solve differential equations.
  

  • MATH 3111 - Algebra and Problem Solving

    (3) Credit Hours
    Prerequisite: MATH 2008  
    MATH 3111 is designed to prepare students to teach algebra up to grade 6. MATH 3111 is a content course that gives prospective teachers a deeper understanding of algebra and problem-solving. The course may not be used to satisfy requirements for mathematics major. Course outcome goals: After successfully completing this course, students will be prepared to teach algebra by being able to (1) Demonstrate knowledge of the content necessary for teaching algebra. (2)Demonstrate mathematical creativity and critical thinking by applying algebraic methods to solve a variety of mathematical problems using multiple representations. (3)Interpret and use mathematical language appropriately. (4)Use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations. (5)Use algebraic applications and procedures to present methods, results and conclusions both in written and oral form. (6)Use mathematical models to represent and understand quantitative relationships (7) Understand patterns, relations and functions.(8)Represent and analyze mathematical situations using algebraic symbols (9)Analyze change in various contexts.
  

  • MATH 3300 - Mathematical Statistics I

    (3) Credit Hours
    Prerequisite/Co-Requisite: MATH 2220  
    Mathematical Statistics I is designed to prepare students to use calculus theory for solving problems involving probability and statistics. The course will include coverage of various statistical concepts including probability distributions, sampling distributions, moment generating functions, expectation and independence. Upon successful completion of the Mathematical Statistics I course, the students should be able to: (1) Compute probabilities involving derivatives and integrals, both by hand and using appropriate technology. (2) Identify real-world situations which can be modeled using probability distributions. (3) State the rules that probability distributions must obey and use these rules for solving calculus problems. (4) State mathematical properties governing statistical independence and use these properties to solve calculus problems and to make statistical calculations (e.g., covariance). (5) Determine the appropriate probability distribution to describe a given situation and use this probability distribution to analyze problems. (6). Model and solve applied problems using discrete and continuous probability distributions using calculus.
  

  • MATH 3311 - Probability, Statistics and Problem Solving

    (3) Credit Hours
    Prerequisite: MATH 2008  
    This course is designed to prepare early education pre-service teachers to provide instruction of basic concepts in probability and statistics. The course will include coverage of various probability and statistical concepts described in the National Council of Teachers of Mathematics (NCTM). Some of these topics include measures of development of a research question, collecting data to address research questions and the multicultural development of probability and statistics. Upon successful completion of the Probability, Statistics and Problem Solving course, the students should be able to: (1) Formulate questions that can be addressed with data and collect, organize and display relevant data to answer them. (2)Select and use appropriate statistical methods to analyze data. (3) Develop and evaluate inferences and predictions that are based on data. (4) Understand and apply basic concepts of probability. (5) Collect data using observations, surveys and experiments. (6) Represent data using tables and graphs such as line plots, bar graphs and line graphs. (7) Recognize the differences in representing categorical and numerical data. (8) Demonstrate knowledge of the historical development of statistics and probability including contributions from diverse cultures.
  

  • MATH 3350 - Applied Mathematics

    (3) Credit Hours
    Prerequisite: MATH 2600  and MATH 3100  
    This course will focus on theories and applications of mathematical modeling techniques such as partial differential equations for a variety of problems in the natural sciences. Technology will be used to numerically and graphically interpret result of real-world problems. Students will: Utilize partial differential equations and boundary value problems in solving application problems. Apply a mathematical modeling process to translate real-world problems into relevant representations. Utilize dimensional analysis and scaling techniques to develop and analyze mathematical models. Evaluate and apply mathematical methods, including estimation, optimization, simulation and sensitivity analysis. Apply mathematics to problems in discipline specific areas such as Biology, Finance, Physics, etc in terms of differential equations.
  

  • MATH 3400 - Applied Linear Algebra

    (3) Credit Hours
    Prerequisite: MATH 2450  
    This course covers advanced topics in Linear Algebra including but not limited to: eigenvectors and eigenvalues, real vector spaces and their subspaces, symmetric and positive definite matrices, orthogonality and least squares, orthonormal bases, the Gram-Schmidt process and inner product spaces. Upon successful completion of the Applied Linear Algebra course, the students should be able to: 1. Perform computations involving matrices that are symmetric, positive definite, and similar, both by hand and using appropriate technology. 2. Identify real-world applications which can be modeled using eigenvalues, eigenvectors, and matrices of general transformations between finite dimensional vector spaces in addition to other topics. 3. Formulate and use appropriate technology to solve Least Squares Problems. 4. Define, identify, and solve problems involving orthonormal bases, in particular, problems involving the Gram-Schmidt Process. 5. Define, and identify real vector spaces, inner product spaces, and their corresponding subspaces.
  

  • MATH 3450 - Numerical Methods I

    (3) Credit Hours
    Prerequisite: MATH 3100  
    Computational simulations are used in many fields. This course introduces the development and mathematical analysis of practical algorithms for the basic areas of numerical analysis. Students will study methods and implement algorithms to obtain numerical results accurately and efficiently. After completing this course, students should be able to: (1)Quantify the effects of finite precision arithmetic on numerical algorithms using basic error analysis. (2)Utilize methods of interpolation and approximation to fit functions to available data. (3)Use direct and iterative methods to solve linear algebraic systems. (4)Apply numerical differentiation and quadrature techniques to approximate derivatives and integrals. (5) Obtain numerical approximations to solutions of systems differential equations. (6) Develop computer algorithms and apply them to problem solving. (7) Apply numerical methods to mathematical problems in diverse fields.
  

  • MATH 3500 - Abstract Algebra I

    (3) Credit Hours
    Prerequisite: MATH 2450 ; MATH 2500  
    This course is an axiomatic introduction to groups, rings and fields and their properties. The four main components of this course are: groups and subgroups, normal subgroups and quotient groups, homomorphisms and isomorphisms and rings and fields. After successfully completing this course, students will be able to: (1) Prove properties of an algebraic system working from basic axioms in each of the four components. (2) Use theorems and techniques to solve problems in each of the four components. (3) Solve problems involving a standard set of examples in each of the four components. (4) Identify real-world applications of abstract algebra and solve problems related to those applications.
  

  • MATH 3550 - History of Mathematics

    (3) Credit Hours
    Prerequisite: MATH 2500  
    In this course students will be exposed to and learn from the historical development of various areas in mathematics and important figures in mathematics from ancient through modern times. Upon completion of this course a student will, (1) explore the utility of mathematics from a historical and cultural perspective including but not limited to the historical content standards recommended by NCTM and CAEP; (2) solve problems of historical significance; (3) develop sensitivity to the diversity of cultures contributing to the development of mathematics and to the unique perspectives of students for groups underrepresented in the mathematical sciences; (4) develop and share curricular materials and teaching strategies to promote knowledge and appreciation for historical and cultural foundations of mathematics; (5) explicitly address the designated NCTM Content Standards.
  

  • MATH 3600 - Mathematics Content Methods

    (3) Credit Hours
    Prerequisite: Admission to the Educator Preparation Program and successful completion ofMGED 3300  and MGED 3350  or EDUC 3300  and EDUC 3350  
    This course will focus on methods for implementing student-centered instruction in mathematics. Special emphasis will be placed on the particular ways of knowing associated with mathematics and incorporating these ways of knowing into learning activities for secondary students. Candidates will design, implement and assess learning activities for secondary students. A field component accompanies this course.
  

  • MATH 3700 - Real Analysis I

    (3) Credit Hours
    Prerequisite: MATH 2500  
    This course introduces students to the fundamentals of mathematical analysis at an adequate level of rigor. The core components of the course are sets and the real line, metric spaces, sequences and series of functions and the theory of differentiation and integration. After completing this course, students should be able to: (1) Explain and restate theorems and definitions in different contexts and as they apply to special cases in each of the four core components of the course. (2)Identify which theorems and definitions apply to various situations in each of the four core components of the course (3) Construct proofs in each of the four core components of the course. Use the theorems and techniques to solve problems in each of the four core components of the course. (4)Use the theorems and techniques to solve problems in each of the four core components of the course. The course is intended to provide students with a fuller understanding of the calculus, as well as prepare them for graduate school in mathematics and other disciplines requiring analytical and numerical solution of equations arising from mathematical modeling.
  

  • MATH 4100 - Differential Equations II

    (3) Credit Hours
    Prerequisite: MATH 3100  and MATH 2220  
    This course provides students with a foundation modeling with and solving differential equations. The course will include coverage of solution methods, existence and uniqueness of solutions and approximation methods. Applicability of differential equations to a variety of physical phenomena will be explored. After completing this course, students should be able to: Identify and classify PDEs as elliptic, parabolic or hyperbolic; Used the method of characteristics, separation of variables, eigenfunction expansion, Fourier analysis and Green’s function techniques to solve PDEs where applicable; Use Laplace, heat and wave equations to model physical phenomena; Use technology to analytically and numerically solve differential equations on bounded domains.
  

  • MATH 4150 - Complex Analysis

    (3) Credit Hours
    Prerequisite: MATH 2500  
    This course provides students with a foundation in the theory and applications of complex analysis. The four core components covered in the course are (i) complex numbers and elementary functions of a complex variable (ii) limits, continuity and analyticity (iii) the Cauchy integral formula, power series and Laurent series and (iv) the Residue theorem and its applications. After completing the course, student should be able to: explain and restate theorems and definitions in different contexts and as they apply to special cases in each of the four core components of the course; identify with theorems and definitions apply to various situations in each of the four core components of the course; construct proofs in each of the four core components of the course; use the theorems and techniques to solve problems in each of the four core components of the course.
  

  • MATH 4200 - Special Topics in Mathematics

    (3) Credit Hours
    Prerequisite: Instructor consent
    This course provides an in-depth look at a topic not covered by the existing mathematics courses. The course may be repeated if topics are different.
  

  • MATH 4250 - Topology

    (3) Credit Hours
    Prerequisite: MATH 2500  and MATH 2220  
    This course introduces students to the fundamentals of topology at an adequate level of rigor. The three core components covered in the course are (i) Sets and Topologies, (ii) Properties of Topological Spaces and (iii) Functions between Topological Spaces. After completing this course, students should be able to: 1. Explain and restate theorems and definitions in different contexts and as they apply to special cases in each of the three components of the course.2. Identify which theorems and definitions apply to various situations in each of the three core components of the course. 3. Construct proofs in each of the three core components of the course. 4. Use the theorems and techniques to solve problems in each of the three core components of the course. This course is intended to provide students with an introduction to topology, as well as prepare them for graduate school in mathematics and other disciplines.
  

  • MATH 4300 - Mathematical Statistics II

    (3) Credit Hours
    Prerequisite: MATH 3300  
    Mathematical Statistics II is designed to prepare students to use calculus theory for the development of probability and statistical models. The course will include coverage of various statistical concepts including probability distributions for functions of random variables, sampling distributions, properties of estimators, order statistics and hypothesis testing. After completing this course, students should be able to: 1. Determine probability distributions of functions of random variables; 2. Develop probability models of real world situations and analyze the results; 3. Develop models for sampling distributions; 4. Evaluate the quality (e.g., bias, mean square error, sufficiency, consistency) of statistical estimators; 5. Determine functions for statistical estimators using the method of moments and maximum likelihood estimation; 6. Use computer technology to simulate probability distributions, sampling distributions and estimators; 7. Model and solve applied problems by synthesizing the components of the course (probability distributions, sampling distributions and statistical estimators); and 8. Apply methods for conducting statistical hypothesis testing to reach conclusions for research questions.
  

  • MATH 4500 - Abstract Algebra II

    (3) Credit Hours
    Prerequisite: MATH 3500  
    This course is a continuation of MATH 3500 , Abstract Algebra I. The first four main components of this course are an axiomatic continuation and a more in-depth study of the components of Abstract Algebra I: (i) groups; (ii) homomorphism and isomorphisms; (iii) rings; and (iv) fields, with concentration on the latter two. The fifth component is special topics (chosen by the instructor) that may include Sylow Theorems, Finite Simple Groups, Generators and Relations, Frieze Groups and Crystallographic Groups and Algebraic Coding Theory. After successfully completing this course, students will be able to: (1) Prove properties of an algebraic system working from basic axioms in each of the five components. (2) Use theorems and techniques to solve problems in each of the five components. (3) Solve problems involving a standard set of examples in each of the five components. (4) Identify real-world applications of abstract algebra and solve problems related to those applications.
  

  • MATH 4600 - Advanced Mathematical Modeling

    (3) Credit Hours
    Prerequisite: MATH 2600  and MATH 3450  
    This course is a continuation of MATH 2600 : Mathematical Modeling and involves a more in-depth study of components including estimation, optimization, simulation and sensitivity analysis. Additional topics covered may include partial differential equations, variational calculus, stochastic processes and finite elements. After successfully completing is course, students will be able to: (1) Identify the salient characteristics of a mathematical model. (2) Apply a mathematical modeling process to translate real-world problems into models. (3) Evaluate and apply mathematical methods, including estimation, optimization, simulation and sensitivity analysis. (4) Evaluate different technologies and apply them to the development and analysis of mathematical models. (5) Classify and apply discrete or continuous, probabilistic or deterministic and empirical or theoretical models. (6) Collaborate as members of a team throughout the development and analysis of mathematical models. (7) Communicate aspects of a mathematical model including the development, results and conclusions in both oral and written forms.
  

  • MATH 4700 - Real Analysis II

    (3) Credit Hours
    Prerequisite: MATH 3700   and MATH 2220  
    This course introduces students to the fundamentals of mathematical analysis at an adequate level of rigor. The four core components covered in the course are (i) multi-dimensional spaces with a focus on three-dimensions as a metric space, (ii) elements of point set topology in 3-space (iii) the classical theory of differentiation and integration in 3-space (iv) curves and surfaces in 3-space. After completing this course, students should be able to: (1)Explain and restate theorems and definitions in different contexts and as they apply to special cases in each of the four core components of the course.(2)Identify which theorems and definitions apply to various situations in each of the four core components of the course. (3)Construct proofs in each of the four core components of the course. (4)Use the theorems and techniques to solve problems in each of the four core components of the course (5)Use the theorems and techniques to solve problems in each of the four core components of the course.
  

  • MATH 4900 - Mathematics Capstone

    (3) Credit Hours
    Prerequisite: MATH 4500  or MATH 4600  or MATH 4700  
    This course is the culminating experience for the mathematics major. The course serves to synthesize information that the mathematics major has learned throughout the program of study. During the course, the student will participate in a research project, provide outreach and interpret research articles. Upon successful completion of the Mathematics Capstone course, the students should be able to: 1. Locate, select, organize and present mathematical information in an appropriate manner. 2. Use appropriate mathematical language and reasoning in written and oral form. 3. Evaluate, analyze and synthesize information to solve applications both individually and as a team. 4. Use technology as a tool to help solve real-world applications and/or non-trivial theoretical problems. 5. Contribute to the mathematics community and the community at large in a service capacity.

Management
  

  • MGMT 3000 - Principles of Management

    (3) Credit Hours
    Prerequisite: (BUSA 2105 ; BUSA 2106 ) or ITEC 2201 ; or consent of instructor
    An introduction to the management process, emphasizing planning and strategy, organizational theory and structure, organizational behavior, ethical leadership, motivation, communication, and team building.
  

  • MGMT 3040 - Human Resource Management

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    A study of modern personnel functions. Topics may include: staffing, human resource development, compensation and benefits, and employee relations.
  

  • MGMT 3150 - Management Science

    (3) Credit Hours
    Prerequisite: BUSA 3100 ; BUSA 2000  
    Additional Requirement:

     
    Quantitative approaches for management problem solving and decision-making in various business areas. It focuses on linear programming, the fundamental concepts, and algorithms, including formulation, solution, analysis, and interpretation of spreadsheet-based models for common business decision-making situation. It will cover a variety of applications of management science in the areas of finance, marketing, and production such as capital budgeting, optimal resources and sales allocation, and scheduling the distribution.

    Students may not receive credit for both MGMT 3150 and MGMT 4600.

     

  

  • MGMT 3250 - Management of Non-Profit Organizations

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    The course will focus on those management issues that are pertinent for effective management of nonprofit organizations. Topics covered include the scope of the nonprofit sector, management issues as they pertain to nonprofits, fundraising, financial management, accountability, volunteer management issues, strategic planning, marketing, governance, and leadership.
  

  • MGMT 3400 - Ethics and Corporate Social Responsibility

    (3) Credit Hours
    Prerequisite: MGMT 3000  
    A study of the issues, philosophies and ethical implications which face businesses in an increasingly complex global society. Covers methods for analyzing and applying personal values, recognizing organizational, cultural and social influences on ethical behavior and recognizing ethical issues and dilemmas in the corporate setting. Also explores the business and society relationship, stakeholder management, and corporate social responsibility.
  

  • MGMT 4100 - Organizational Behavior

    (3) Credit Hours
    Prerequisite: MGMT 3000  or permission of instructor
    A study of individual and group behaviors and their influence and interrelationships in an organizational environment.
  

  • MGMT 4101 - International Management

    (3) Credit Hours
    Prerequisite: MGMT 3000 ; BUSA 3200  
    This course focuses on the challenges and opportunities associated with organizational management and business strategy in the global environment. The major areas and themes covered by this course are the following: the environment of international management, the role of culture, international strategic management, and international human resource management.
  

  • MGMT 4105 - Theories of Motivation

    (3) Credit Hours
    Prerequisite: MGMT 4100  
    This course examines topics of motivation and leadership in the workplace by addressing theoretical formulations, major research findings and real-world applications of the various theories of motivation. Issues related to these topics will include gender, job attitudes, cross-cultural influences, and organizational reward systems.
  

  • MGMT 4200 - Organizations and Technology

    (3) Credit Hours
    Prerequisite: MGMT 3000 ; BUSA 3100  
    This course focuses on how managers use technology to assist with business functions and achieve organizational goals. The relationship of technology to other processes within organizations is examined.
  

  • MGMT 4220 - Project Management

    (3) Credit Hours
    Prerequisite: (BUSA 3100  and MGMT 3000 ) or ITEC 2201  
    This course uses established project management principles and examines the use of systematic processes for maximizing resources for work within optimum cost and time parameters. The methodology includes: identification of individual tasks, time implications and costs of each task; logical work flows and bottlenecks; analysis of corrective actions; balancing cost parameters against time impacts; and utilization of appropriate software to analyze projected scenarios to create optimization.
  

  • MGMT 4300 - Entrepreneurship and New Ventures

    (3) Credit Hours
    Prerequisite: MGMT 3000 ; MKTG 3000  
    Cross-listed with: MKTG 4301  
    This course studies new ventures and businesses, the characteristics of successful entrepreneurs, the process of starting a new business and the determinants of new venture performance. Students will be required to prepare a business plan for a prospective new venture.
  

  • MGMT 4350 - Leadership in 21st Century Organizations

    (3) Credit Hours
    Prerequisite: MGMT 3000  ; MGMT 4100  recommended
    This course examines the traits, skills and behaviors of effective leaders. The role of leaders in sustaining profitability, productivity and excellent customer service in 21st century organizations will be emphasized. An overview of the research literature on leadership will be included. Students will gain insights into how to enhance their own leadership skills.
  

  • MGMT 4400 - Negotiations

    (3) Credit Hours
    Prerequisite: MGMT 3000 ; MGMT 4100  recommended
    In this course, students learn how to become effective negotiators in managerial settings. The course is largely experiential, where students learn by doing. Simulated negotiations are also utilized as a means to enhance learning.
  

  • MGMT 4600 - Operations Management

    (3) Credit Hours
    Prerequisite: MGMT 3000 ; ITEC 1001 ; BUSA 2000  
    This course provides a frame of reference for using quantitative models in support of business decision making. Topics include model components, simulation, optimization, time series and causal forecasting, decision analysis, Monte Carlo simulation, linear programming, quality management and other techniques for project and operations management. The course emphasizes the value of these approaches in a wide variety of functional settings.
  

  • MGMT 4620 - Systems Analysis and Design for Managers

    (3) Credit Hours
    Prerequisite: BUSA 3100  or ITEC 2201 ; ITEC 2120  or ITEC 2140 ; ITEC 3200 ; MGMT 4220  
    Includes the concepts, methodologies and techniques involved in information systems design and analysis. Presents an overview of information systems and the systems development life cycle for the systems analyst/manager. Course emphasis focuses on tools and techniques used to document information systems. Presents students with real-world system analysis skills and techniques within the framework of the systems development life cycle (SDLC). Examples and cases are drawn from actual systems projects that enable students to learn in the context of solving problems, much like the ones they will encounter on the job.
  

  • MGMT 4650 - International Management of IT

    (3) Credit Hours
    Prerequisite: (BUSA 3100  and MGMT 3000 )or ITEC 2201  or ITEC 1201
    Discussion and in-depth analysis of contemporary information systems topics with emphasis on the economic and technological impact of computer information systems on the business environment. Coverage includes a discussion of the international considerations of the adoption of information technology innovations, international considerations for software development, challenges of cross-border communications, international human resource considerations and international monetary considerations
  

Marketing
  

  • MKTG 3000 - Principles of Marketing

    (3) Credit Hours
    Prerequisite: BUSA 2105 ; BUSA 2106  
    An introduction to the basic principles of marketing and the marketing environment. Topics include consumer markets, channels of distribution, product and pricing policies, promotion, and ethical planning
  

  • MKTG 3050 - Consumer Behavior

    (3) Credit Hours
    Prerequisite: MKTG 3000  
    A study of the social, economic and cultural influences and expectations which affect attitude formation and decision-making processes of consumers.
  

  • MKTG 3200 - Business to Business Marketing

    (3) Credit Hours
    Prerequisite: MKTG 3000  
    Explores special problems and considerations of marketing products and services to organizational buyers. The course examines organizational buyer behavior, business to business promotion, pricing and development of industrial products.
  

  • MKTG 3400 - Professional Selling

    (3) Credit Hours
    Prerequisite: MKTG 3000  
    This course helps students develop an understanding of the personal selling process and its role within an organization’s promotional mix. Customer relationship management (CRM), negotiating skills, as well as other personal selling skills are examined.
  

  • MKTG 3550 - Social Media Marketing

    (3) Credit Hours
    Prerequisite: MKTG 3000  
    This course provides an in-depth examination of techniques for the development and application of strategies for effective use of social media in marketing.  Students will study a framework for understanding and utilizing social media to achieve organizational objectives.  Further, the course explores methods for tracking the impact of social media marketing strategies.
  

  • MKTG 4025 - Marketing Research

    (3) Credit Hours
    Prerequisite: MKTG 3000 ; BUSA 2000  
    A study of the methods and procedures designed to provide management with information on which to base decisions, including developing and evaluating marketing strategies. Topics include the gathering and use of marketing information from primary and secondary sources, quantitative and qualitative research methodologies.
  

  • MKTG 4100 - Marketing Management

    (3) Credit Hours
    Prerequisite: MKTG 3000 , MGMT 3000  
    Study at an advanced level of the major issues and problem areas facing marketing executives. Development of complete marketing programs; discussion of major marketing problems; analysis of cases.
  

  • MKTG 4200 - Promotion

    (3) Credit Hours
    Prerequisite: MKTG 3000  
    A study of the principles, concepts and practices relating to the different kinds of communications employed in the dissemination of information about products and services to potential buyers. Aspects of messages and media will be explored.
  

  • MKTG 4300 - Advertising

    (3) Credit Hours
    Prerequisite: MKTG 3000  
    A focus on the formulation of advertising strategy. Includes the use of research to develop and evaluate advertising, as well as creative strategy and media planning. Ethical aspects of advertising are also discussed.
  

  • MKTG 4301 - Entrepreneurship & New Venture

    (3) Credit Hours
    Prerequisite: MGMT 3000 ; MKTG 3000  
    Cross-listed with: MGMT 4300 
    This course studies new ventures and businesses, the characteristics of successful entrepreneurs, the process of starting a new business and the determinants of new venture performance. Students will be required to prepare a business plan for a prospective new venture.
  

  • MKTG 4400 - International Marketing

    (3) Credit Hours
    Prerequisite: MKTG 3000 ; BUSA 3200  
    An examination of the major marketing issues and opportunities facing business managers in an international setting. Primary emphasis is on the study of developing and adjusting strategies in light of home and host countries’ incentives and restrictions.
  

  • MKTG 4450 - Digital Marketing in a Global Context

    (3) Credit Hours
    Prerequisite: MKTG 3000 ; BUSA 3200  
    The course focuses on global marketing in the internet age and examines the characteristics of e-commerce that are likely to apply in the international area. It focuses on the intersection of the international environment, e-commerce and marketing with particular attention to the impact of internet technology on marketing strategy and practices and the marketing mix. The course also describes the importance of cultural dynamics and business customs on effective internet marketing. The e-commerce environment is examined in countries located in Europe, Latin America and the Far East.
  

  • MKTG 4500 - Studies Abroad

    (3 or 6) Credit Hours
    Prerequisite: Consent of Instructor
    Cross-listed with: BUSA 4500  
    Analysis of the role and impact of cultural, economic, social, political and legal factors on business through travel to a foreign country or countries. Includes lectures, discussions and facilities tours. Direct costs such as airfare, hotels, etc., are added to normal tuition charges.
  

  • MKTG 4700 - Special Topics in Marketing

    (3) Credit Hours
    Prerequisite: Consent of Instructor
    Study of current topics in Marketing and/or related disciplines. May be repeated for credit when topic varies.
  

  • MKTG 4751 - Business Internship/Experiential Learning

    (3) Credit Hours
    Prerequisite: MKTG 3000  and Permission of Instructor
    Individually designed learning opportunity in which the student is involved in the normal operations of an organization in the private or public sector. A minimum of 120 internship hours is required for 3 hours credit.

Middle Grades Education
  

  • MGED 3300 - Middle Grades Learners

    3 Credit Hours
    Prerequisite: Admission to Eduator Preparation Program
    This course presents a comprehensive examination of the cognitive, physical, socio-emotional, socio-economic, cultural, racial, linguistic, and gender characteristics of middle grades learners with exceptionalities.  This course will provide a comprehensive overview of the historical, social, political, economic, cultural and legal foundations of special education and services to students with exceptionalities. Candidates will explore the characteristics of effective learning environments and identify classroom management strategies that promote a classroom setting that is ethical, respectful, welcoming, safe, rigorous, relevant, and adapted for a variety of learners.  Field experiences will focus on students in the context of the classroom and will include focused observations, studies of diverse learners, and the development of a classroom management portfolio.  Candidates will be introduced to classroom technologies for use in a digital learning environment.
  

  • MGED 3350 - Teaching and Learning in Middle Grades

    4 Credit Hours
    Prerequisite: Admission to Educator Preparation Program
    This course provides an overview of teaching and learning in the context of the contemporary American middle school.  Using an inquiry approach, candidates will build a comprehensive understanding of the interaction among the school, the curriculum and the student in an effective middle school.  Candidates will explore national, state and local content standards as well as other educational trends and policies that impact teaching in their respective content areas.  Particular emphasis will be placed on four philosophical approaches to teaching  (social, information-processing, personal and behavioral), each of which has a strong history of research and development.  Through classroom activities and field-based inquiry, candidates will explore selected teaching models that are representative of these four approaches, including the curricular orientations behind these models and their application in middle school content areas.  Candidates will observe a variety of classroom management approaches and will begin to develop a philosophy of classroom management based on knowledge about motivation and learning.  This course includes an embedded field experience in a grades 4-8 classroom.
  

  • MGED 4600A - Instructional Adaptation in Middle Grades

    3 Credit Hours
    Prerequisite: Admission to the Educator Preparation Program;MGED 3300  , MGED 3350  and Content Methods Course
    This course is an advanced teaching methods course focusing on using formal and informal classroom assessment data to differentiate instruction to meet the individual needs of middle grades students.  Special methods for teaching exceptional children and English language learners will be a focus as candidates select instructional approaches that adapt to learners’ needs.  Candidates will develop, implement, and assess the effectiveness of teaching plans for the needs of the whole class as well as individual students with identified needs.
  

  • MGED 4600B - Educational Assessment in Middle Grades

    3 Credit Hours
    Prerequisite: Admission to Educator Preparation Program; MGED 3300  ; MGED 3350  content area methods
    Co-requisite: MGED 4600A  ; MGED 4600C
    This course is a survey of the principles and methods of educational measurement and test construction with an emphasis on evaluation, interpretation and diagnosis in school settings, including standardized (group and individual) and teacher designed instruments.  Coordination of learning objectives, item development and analysis, and utilizing assessment to improve instruction and achievement outcomes is included.
  

  • MGED 4600C - Middle Grades Practicum

    2 Credit Hours
    Prerequisite: Admission to the Educator Preparation Program; MGED 3300  , MGED 3350  Content Methods Courses
    Co-requisite: MGED 4600A  , and MGED 4600B  
    This is one of 3 linked courses for students pursuing a degree in teacher education.  It is designed to be taken along with MGED 4600A  . Instructional Adaptation in Middle Grades and MGED 4600B  , Educational Assessment in Middle Grades.  This course is a semester-long student teaching experience in a school setting, under the supervision of a qualified classroom teacher and college faculty.  Candidates will transition from collaborative planning and teaching to full-time teaching responsibility.  Candidates will be expected to demonstrate professionalism, and effective use of instructional strategies, as well as provision of a positive and academically challenging learning environment for all students.  Candidates will examine student permanent records and live data systems as well as develop, implement and assess the effectiveness of teaching plan for specific students, in conjunction with cooperating teachers at field experience sites.

Military Science and Leadership
  

  • MSL 1010 - Leadership and Personal Development I

    (2) Credit Hours
    Prerequisite: Freshman or Sophomore status and US Citizenship
    Co-requisite: MSL 1010L  
    Introduces students to issues and competencies that are central to a commissioned officer’s responsibilities. Established framework for understanding officer ship, leadership and Army values followed are “life skills” such as physical fitness and time management.
  

  • MSL 1010L - Leadership and Personal Development I Lab

    (1) Credit Hours
    Co-requisite: MSL 1010  
    Introduction to the fundamental components of service as an officer in the Army. Overview of the purpose and scope of Army ROTC with emphasis on the role of today’s Army, officer ship, leadership and values. Basic skills include rappelling, familiarization with military weapons and unit organization.
  

  • MSL 1020 - Leadership and Personal Development II

    (2) Credit Hours
    Prerequisite: Freshman or sophomore status and US Citizenship
    Co-requisite: MSL 1020L  
    Establishes foundation of basic leadership fundamentals such as problem solving, communications, briefings and effective writing, goal setting, techniques for improving listening and speaking skills and an introduction to counseling.
  

  • MSL 1020L - Leadership and Personal Development II Lab

    (1) Credit Hours
    Co-requisite: MSL 1020  
    Establishes foundation of basic leadership fundamentals such as problem solving, communications, briefings and effective writing, goal setting, techniques for improving listening and speaking skills and an introduction to counseling.
  

  • MSL 2010 - Foundations of Leadership

    (2) Credit Hours
    Prerequisite: Completion of Student Success Courses (Math, and English) if required for admissions to GGC and Freshman or Sophomore status and US Citizenship
    Co-requisite: MSL 2010
    Students identify successful leadership strategies and styles by examining team dynamics and leadership theories that form the basis of the Army leadership framework. Students also study historical case studies and engage in interactive exercises. Students practice aspects of personal motivation and team building in the context of planning, executing and assessing team exercises.
  

  • MSL 2010L - Foundations of Leadership Lab

    (1) Credit Hours
    Co-requisite: MSL 2010  
    Students examine how to build successful teams, various methods for influencing action, effective communication in setting and achieving goals, the importance of timing the decision, creativity in the problem solving process and obtaining team buy in through immediate feedback.
  

  • MSL 2020 - Foundations of Tactical Leadership

    (2) Credit Hours
    Prerequisite: Completion of Student Success Courses (Math and English) if required for admissions to GGC and Freshman or Sophomore status and US Citizenship
    Co-requisite: MSL 2020L  
    The course examines the challenges of leading tactical teams in the complex contemporary operating environment (COE). This course highlights dimensions of terrain analysis, patrolling and operation orders. Further study of the theoretical bass of the army Leadership Requirement Model explores the dynamics of adaptive leadership in the context of military operations. The course provide smooth transition into MSL 3010 . Cadets develop greater self-awareness as they assess their own leadership styles and practice communication and team-building skills. COE case studies give insight into the importance and practice of teamwork and tactics in real-world scenarios.
  

  • MSL 2020L - Foundations of Tactical Leadership Lab

    (1) Credit Hours
    Co-requisite: MSL 2020  
    Students examine how to build successful teams, various methods for influencing action, effective communication in setting and achieving goals, the importance of timing the decision, creativity in the problem solving process and obtaining team buy in through immediate feedback.
  

  • MSL 3010 - Adaptive Team Leadership

    (3) Credit Hours
    Prerequisite: MSL 1010 , MSL 1020 , MSL 2010 , MSL 2020  with grade of C or higher or completed ROTC basic camp, or military service equivalent
    Students conduct self-assessment of leadership style, develop personal fitness regimen and learn to plan and conduct individual/small unit tactical training while testing reasoning and problem solving techniques. Students receive direct feedback on leadership abilities.
  

  • MSL 3010L - Adaptive Team Leadership Lab

    (1) Credit Hours
    Prerequisite: MSL 1010 , MSL 1020 , MSL 2010 , MSL 2020  with grade of C or higher or completed ROTC basic camp, or military service equivalent
    Students conduct self-assessment of leadership style, develop personal fitness regimen and learn to plan and conduct individual/small unit tactical training while testing reasoning and problem solving techniques. Students receive direct feedback on leadership abilities.
 

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