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MASTER SYLLABUS |
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MATH 1130 (formerly MTH 1010) |
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Class Hours: 3.0
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Credit Hours:
3.0
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Laboratory Hours:
0.0
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Date Revised:
Spring 03
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Catalog Course
Description:
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College algebra for
students who are not in university parallel/transfer programs of science,
mathematics, engineering or computer science. Topics include linear,
polynomial, rational, exponential and logarithmic functions, their graphs
and applications; linear, and nonlinear regression models.
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Entry Level Standards:
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Students must be
able to read at the college level.
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Prerequisites:
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High school algebra
I and algebra II and ACT math score of at least 19; or DSPM 0850 or equivalent
math placement score
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Textbook(s) and
Other Reference Materials Basic to the Course:
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Sulivan, Michael,
and Michael Sullivan III. College Algebra: Enhanced with Graphing
Utilities, 3rd Ed. Prentice Hall, Upper Saddle River, NJ, 2003.
Bittinger, Marvin L., Judith A. Beecher, David Ellenbogen, and Judith A. Penna. College Algebra: Graphs and Models., 2nd Ed. Addison-Wesley, Reading, MA, 2001. Larson, Roland E., Robert P. Hostetler, and Bruce Edwards. College Algebra: A Graphing Approach, 3rd Ed. D. C. Heath and Company, Lexington, MA, 2001. Rockswold, Gary. College Algebra through Modeling and Visualization. Addison-Wesley, Reading, MA, 2002. Technology Requirement: A non-symbolic graphing calculator is required; the TI-83 or TI-83 Plus is preferred. |
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I. Week/Unit/Topic
Basis:
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Included in the topics
listed below are projects which students may be asked to complete individually
or in groups. Some instructors may use other projects, and the selection,
timing, and manner of presentation of the projects is to be determined
by the instructor.
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Week
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Topic
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1
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Introduction and
Review; Rectangular Coordinates, Graphing Utilities 1.1; Introduction to
Graphing Equations, 1.2; Solving Equations Using Graphing Utility, Linear
Equations, 1.3
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2
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Quadratic Equations,
1.3; Setting Up Equations, Applications, 1.4; Radical Equations, Equations
Quadratics in Form, Absolute Value Equations, 1.5
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3
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Solving Inequalities,
1.6; Lines, 1.7
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4
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Review; Chapter 1
Test; Functions, 2.1
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5
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Linear Functions
and Models, 2.2; Quadratic Functions, 2.3; Quadratic Models, 2.4
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6
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Review; Chapter 2
Test; Symmetry, Graphing Key Equations, 3.1
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7
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Properties of Functions,
3.2; Library of Functions, Piecewise-Defined Functions, 3.3; Graphing Techniques,
Transformations, 3.4
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8
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Operations on Functions,
Composite Function, 3.5; Review
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9
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Chapter 3 Test; Power
Functions and Models, 4.1; Polynomial Functions and Models, 4.2
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10
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Polynomial Models,
4.2; Rational Functions I, 4.3; Rational Functions II, 4.4
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11
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Polynomial and Rational
Inequalities, 4.5; Chapter 4 Review; Chapter 4 Test
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12
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One-to-One Functions;
Inverse Functions, 6.1; Exponential Functions, 6.2; Logarithmic Functions,
6.3
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13
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Logarithmic Functions,
cont, 6.3; Properties of Logarithms, 6.4; Logarithmic and Exponential Equations,
6.5
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14
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Compound Interest,
6.6; Growth and Decay, 6.7; Chapter 6 Review
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15
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Chapter 6 Test; Review
for Final Exam
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16
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Final Exam
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II. Course Objectives*:
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A.
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Find appropriate
regression equations to model real data using statistical analysis. VI.1-5
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B.
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Master the use of
a graphing utility to solve problems and to check solutions. VI.1-5
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C.
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Construct and analyze
graphs of linear, quadratic, polynomial, rational, radical, exponential,
and logarithmic functions. VI.1-5
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D.
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Construct appropriate
mathematical models to solve applications. VI.1-5
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E.
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Interpret and apply
functional notation and concepts. VI.1-5
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F.
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Analyze and explore
linear, quadratic, polynomial, piecewise, rational, radical, exponential,
and logarithmic functions and their applications. VI.1-5
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G.
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Solve and check the
solutions of linear, absolute value, piecewise, quadratic, polynomial,
rational, radical, exponential and logarithmic equations analytically.
VI.1-5
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*Roman numerals after
course objectives reference goals of the university parallel program.
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III. Instructional
Processes*:
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Students will:
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1.
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Use a graphing utility
to analyze properties of functions, solve equations, and check solutions.
Technological Literacy Outcome, Numerical Literacy Outcome, Active Learning
Strategy
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2.
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Engage in collaborative
activities, e.g. modeling projects, group work, and/or other activities
that use mathematics to solve real world applications. Problem Solving
and Decision Making Outcome, Numerical Literacy Outcome, Communication
Outcome, Transitional Strategy, Active Learning Strategy
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3.
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Demonstrate personal
integrity and ethical behavior by being punctual, dependable, considerate,
and cooperative. Personal Development Outcome
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4.
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Use multiple approaches-physical,
symbolic, graphical and verbal-to solve application problems in business,
finance, and the sciences. Numerical Literacy Outcome, Transitional
Strategy
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*Strategies and outcomes
listed after instructional processes reference Pellissippi State’s goals
for strengthening general education knowledge and skills, connecting coursework
to experiences beyond the classroom, and encouraging students to take active
and responsible roles in the educational process.
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IV. Expectations
for Student Performance*:
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Upon successful completion
of this course, the student should be able to:
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1.
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Determine the slope
of a line and explain its meaning numerically, graphically and analytically.
A, C, F
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2.
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Determine the equations
of horizontal and vertical lines numerically, graphically and analytically.
C, F
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3.
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Determine the equations
of parallel and perpendicular lines numerically, graphically and analytically.
C, F
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4.
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Determine equations
of lines using the point-slope equation. F
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5.
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Determine if a relation
is a function. C, E
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6.
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Work with functional
notation; find and simplify the difference quotient for a polynomial function
of degree one, two, or three. E
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7.
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Sketch careful graphs
of functions by hand: linear, absolute value, piecewise, quadratic,
radical, rational, exponential, and logarithmic. C
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8.
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Find suitable windows
to create comprehensive graphs of functions on a graphing utility; linear,
absolute value, piecewise, quadratic, polynomial, radical, rational, exponential,
and logarithmic. B
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9.
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Find the real zeros
of functions analytically and graphically. B, C, E
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10.
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Analytically and
graphically analyze graphs of linear, absolute value, piecewise, quadratic,
polynomial, rational, radical exponential, and logarithmic functions:
determine domain, range, intercepts, extrema, increasing/decreasing intervals,
continuity, end behavior, and asymptotes. B, C
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11.
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Use linear, piecewise,
quadratic, polynomial, rational, exponential and logarithmic models to
solve applications. D
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12.
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Use transformations
to build new functions from basic functions; determine domain and range
of new functions. B, C, E
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13.
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Use statistical regression
on a graphing utility to find linear, quadratic, cubic, quartic, exponential,
and logarithmic models and use them to make meaningful predictions.
A, B, D
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14.
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Use the quadratic
formula to get exact solutions to quadratic equations. F
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15.
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Use the discriminant
to determine number and nature of roots of a quadratic equation.
F
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16.
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Optimize quadratic
functions. B, F
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17.
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Make a reasonable
sketch of a polynomial function based on its degree, leading coefficient,
and zeroes. C
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18.
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Determine the real
zeros and their multiplicities for a polynomial function. E
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19.
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Write a polynomial
function given its real zeros and their multiplicities. E
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20.
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Find the equations
of the horizontal and vertical asymptotes of rational functions.
C
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21.
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Solve linear, quadratic,
polynomial, and rational inequalities analytically and graphically.
B, C
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22.
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Use the zeros of
a function and its graphs to solve related inequalities. B, C
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23.
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Determine if a function
is one-to-one and find formulas for inverses of one-to-one functions.
E
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24.
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Use the graph of
a one-to-one function to draw the graph of its inverse function.
C
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25.
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Convert between exponential
and logarithmic notation. E
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26.
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Find common and natural
logarithms on a graphing utility. B
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27.
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Use the change of
base formula to evaluate logarithms. B
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28.
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Use the properties
of logarithms to rewrite and simplify expressions. E
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29.
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Solve equations analytically:
linear, absolute value, quadratic, rational, radical, special polynomials,
exponential, and logarithmic. G
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30.
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Solve equations on
a graphing utility using the intersection of graphs method. B
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31.
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Solve exponential
growth and decay applications analytically using statistical regression
or algebraic methods. B, D
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*Letters after performance
expectations reference the course objectives listed above.
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V. Evaluation:
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A. Testing Procedures:
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Students are evaluated
primarily on the basis of tests, projects, homework, quizzes, and a comprehensive
final exam. A minimum of four major exams is recommended.
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B. Laboratory Expectations:
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As assigned by instructor
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C. Field Work:
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As assigned by instructor
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D. Other Evaluation
Methods:
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As assigned by instructor
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E. Grading Scale:
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93-100%
A
88-92 B+ 83-87 B 78-82 C+ 70-77 C 60-69 D Below 60 F |
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VI. Policies:
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A. Attendance Policy:
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Regular attendance
is essential for the successful completion of this course, and absences
will be recorded daily. Pellissippi State Technical Community College
expects students to attend all scheduled instructional activities.
As a minimum, students in all courses must be present for at least 75 percent
of their scheduled class and laboratory meetings in order to receive credit
for the course. Individual departments / programs / disciplines, with the
approval of the Vice President of Academic and Student Affairs, may have
requirements that are more stringent.
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B. Academic Dishonesty:
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Academic dishonesty
in any form is prohibited and will be dealt with severely. Penalties
range for an F or a zero for the specific project or examination to automatic
failure for the course for all students involved. Individual instructors
must distribute their policy on academic dishonesty during the first week
of class.
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