May 12, 2024  
2020-2021 Academic Catalog 
    
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2020-2021 Academic Catalog [ARCHIVED CATALOG]

Course Descriptions

  

      

Courses by Department  • Courses by Elective Code  • TAP / Gen Ed Elective Choices  

 
 

Biology (BIO)
  

  • BIO* E299 - Independent Study in Biology (1-3 credits)

    Code(s): SCI
    Prerequisite(s): Permission of Instructor
     
    This course is an individualized project allowing the student to independently study an area of interest in Biology under the supervision of a full-time Biology faculty member. Description of the project must be approved by the Math/Science Department, the instructor, and the Academic Dean the semester before taking the course.

    All independent projects must be arranged in the semester prior to registration, with advance departmental approval and with the supervision of a full-time faculty member. For more information, see Independent Study Courses .

Chemistry (CHE)
  

  • CHE* E299 - Independent Study in Chemistry (1-3 credits)

    Code(s): SCI
     
    This course is an individualized project allowing the student to independently study an area of interest in Chemistry under the supervision of a full-time Chemistry faculty member.  Description of the project must be approved by the Math/Science Department Chair and instructor the semester before taking the course.

    Course Outline: CHE 299  

Electives
  

  • Elective (MATH) - Mathematics (3-4 credits)

     
    Mathematics electives are all courses with Elective Code MATH.

Manufacturing Technology (CAD, MFG, QUA)
  

  • CAD* E110 - Introduction to CAD (3 credits)

    Prerequisite(s): Prerequisite(s): Satisfactory test scores in Reading, Writing and Math will be required. See program advisor.
     
    An introduction to the techniques of generating graphic images with computers, using AutoCAD. Topics include: overview of CAD technology, computer technology, hardware descriptions and requirements, file manipulation and management, two- dimensional geometric construction, symbol library creation, dimensioning, scaling, sectioning, plotting, detail and assembly drawing including tolerance studies.

    CAD* E110 is now using SOLIDWORKS®  three-dimensional design software.
  

  • MFG* E105 - Manufacturing Math II (3 credits)

    Prerequisite(s): Satisfactory score on math placement exam, or permission of instructor.
     
    Second course in manufacturing mathematics. A further study of arithmetic and trigonometric operations applied to manufacturing circumstances. The following geometric entities are studied in detail: the circle, regular and irregular polygons, the right triangle and oblique triangles. The application of angular arithmetic including the study of: angle decimal conversion, the Pythagorean Theorem, Sin, Cos, and Tan functions, and the Law of Sines and Law of Cosines.

    Course Outline: MFG 105  
  

  • MFG* E124 - Blueprint Reading I (2 credits)

    Prerequisite(s): Satisfactory test scores in Reading, Writing and Math will be required. See program advisor.
     
    First course in blueprint reading. The study of orthographic projection. Topics include lines and their uses, auxiliary views, sectional views, basic and special dimensioning, dimensioning practices for holes, chamfers, angle, tapers, keyways diameters and radii. Also, geometric tolerancing and dimensioning is covered.

    Course Outline: MFG 124  

Mathematics (MAT)
  

  • MAT* E103 - Mathematics of Finance (3 credits)

    Code(s): MATH
    Prerequisite(s): Satisfactory score on placement test or MAT* E095  or MAT* E095I  with a grade of C or higher, or Permission of department chair based on review of high school transcript, and eligible for ENG* E101 .
     
    An elementary course covering a wide range of mathematics commonly used in business and personal finance. Topics include: simple and compound interest, present value, wages, taxes, insurance, and marketing and retailing mathematics. Course Outline: MAT 103  
  

  • MAT* E104 - Quantitative Reasoning (3 credits)

    Code(s): MATH
    Prerequisite(s): Satisfactory score on placement test or MAT* E095  or MAT* E095I  with a grade of C or higher, or Permission of department chair based on review of high school transcript, and eligible for ENG* E101 .
     
    A survey course to develop the abilities to interpret and reason with information that involves mathematical ideas or numbers. This course will prepare students for the mathematics they will encounter in other college courses and in their career as well as help develop critical thinking and problem-solving skills needed in all areas of life. Topics include principles of reasoning, problem solving techniques, basic statistics, every day mathematical models, and the mathematics involved in personal finance, the arts, careers, and society in general. Course Outline: MAT 104  
  

  • MAT* E137 - Intermediate Algebra (3 credits)

    Code(s): MATH
    Prerequisite(s): Satisfactory score on mathematics placement exam or a grade of C or better in MAT* E095 , MAT* E095I .
     
    This course is a further study of algebra and mathematical modeling of functions and relations represented by tables, graphs, words, and symbols. Polynomial functions and expressions with special attention to linear, quadratic, exponential, rational, and radical functions are studied. There is an emphasis on modeling and applications for all topics. Course Outline: MAT 137  
  

  • MAT* E167 - Principles of Statistics (3 credits)

    Code(s): MATH, QUAX
    Prerequisite(s): Satisfactory score on mathematics placement examination or MAT* E137 , Intermediate Algebra.
    Prerequisite(s) or Parallel(s): ENG* E101  
     
    An introductory course in descriptive and inferential statistical procedures. Topics include graphical displays of data, measures of center and variability, basic probability theory, the normal distribution, sampling distributions, correlation and regression, estimation, and hypothesis testing. Use of the TI-84 calculator or statistical software is required. Course Outline: MAT 167  
  

  • MAT* E172 - College Algebra (3 credits)

    Code(s): MATH, QUAX
    Prerequisite(s): Satisfactory score on mathematics placement exam or a grade of C or higher in MAT* E137  
     
    This course offers numeric, algebraic, and graphic problem-solving techniques to be used in Calculus. Techniques are developed to solve equations and inequalities involving polynomials, radicals and rational expressions. Polynomial, inverse, rational, exponential, and logarithmic functions are studied and their applications are explored both algebraically and graphically.

    Course Outline: MAT 172  
  

  • MAT* E186 - Pre-Calculus (4 credits)

    Code(s): MATH, QUAX
    Prerequisite(s): Satisfactory score on Math placement or MAT* E172  with a grade of C or higher.
     
    This course offers a study of the concepts from algebra and trigonometry that will be used in calculus. The course topics include: trigonometric functions, periodic functions, trigonometric identities and equations, further applications of trigonometry, analytic geometry, and sequence and series.

    Course Outline: MAT 186  
  

  • MAT* E210 - Discrete Math (3 credits)

    Code(s): MATH
    Prerequisite(s): ENG*E101 and MAT*E186 (or higher) with a grade of C or higher, or appropriate placement score. Course Outline: MAT 210  
     
    A course designed to prepare math, computer science and engineering majors for a background in abstraction, notation and critical thinking for the mathematics most directly related to computer science. Topics include: logic, relations, functions, basic set theory, proof techniques, mathematical induction, graph theory, combinatorics, discrete probability, recursion, recurrence relations, elementary number theory and graph theory. 
  

  • MAT* E254 - Calculus I (4 credits)

    Code(s): MATH, QUAX
    Prerequisite(s): Satisfactory score on Math placement or MAT* E186  with a grade of C or higher.
     
    A study of differential calculus, the definition of limits, limit theorems, the tangent and velocity problems, the definition of derivatives, differentiation formulae, implicit differentiation, applications of the derivatives, differentials, maxima and minima problems, concavity, antiderivatives, The Fundamental Theorem of Calculus. Course Outline: MAT 254  
  

  • MAT* E256 - Calculus II (4 credits)

    Code(s): MATH
    Prerequisite(s): MAT* E254  with a grade of C or higher.
     
    A continuation of MAT* E254 . Topics include The Fundamental Theorem of Calculus, finding areas, volume, and curve length using integrals; integration and differentiation of logarithmic, exponential and trigonometric functions as well as techniques of integration and improper integrals, infinite sequences and series. Course Outline: MAT 256  
  

  • MAT* E268 - Calculus III: Multivariable (4 credits)

    Code(s): MATH
    Prerequisite(s): MAT* E256  with a grade of C or higher.
     
    A continuation of MAT* E256 . Topics include vectors and geometry of space, vector-valued functions, functions of several variables, multiple integrals and vector analysis. Course Outline: MAT 268  
  

  • MAT* E285 - Differential Equations (3 credits)

    Code(s): MATH
    Prerequisite(s): Grade of C or better in MAT* E256  
     
    A course in techniques for solving various types of differential equations. Topics include: ordinary differential equations of the first and higher order, operators, successive approximations, interpolation and numerical integration, infinite series, and Laplace transforms. Course Outline: MAT 285  
  

  • MAT* E298 - Special Topics in Mathematics (3 credits)

    Code(s): MATH
    Prerequisite(s): Sophomore standing and departmental approval
     
    An independent study course for those students who wish to obtain credit in a specific course which the College does not generally offer.

Science (SCI)
  

  • SCI* E225 - Special Problems in the Natural Sciences (3 credits)

    Code(s): SCI
    Prerequisite(s): Permission of the instructor
     
    A research-oriented laboratory course under the personal supervision of a member of the science department faculty designed to give an advanced student exposure to problem solving in the natural sciences. Problems may be selected in biology, chemistry, earth sciences, medical and allied health sciences, or Math and Science. For most students, the course will serve as a first real exposure to how research is done in the natural sciences.