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Web Schedule Summer 2020


MAT-1030-VU02Z - Applied Math Concepts


Synonym: 194486
Location: Winooski
Room: CCV Winooski 208
Credits: 3 (45 hours)
Day/Times: Tuesday & Friday, 09:00A - 12:30P
Semester Dates: 05-26-2020 to 07-07-2020
Last day to drop without a grade: 06-03-2020 - Refund Policy
Last day to withdraw (W grade): 06-20-2020 - Refund Policy
Faculty: Laura Marthaler | View Faculty Credentials
Open Seats/Section Limit: 18/18 (as of 11-05-19 8:15 AM)
This section meets the following General Education Requirement(s):
Mathematics
    Note
  1. Many degree programs have specific general education recommendations. In order to avoid taking unnecessary classes, please consult with additional resources like your program evaluation, your academic program page, and your academic advisor.
  2. Courses may only be used to meet one General Education Requirement.

Course Description:

This course develops students’ ability to think quantitatively and use mathematics as a problem-solving tool in their professional and personal lives. Mathematical applications are selected from a range of business, human services, health and political topics. Concepts include: set theory, visual representation of data, operations in the real number system, geometry, linear and nonlinear equations, linear systems, personal finance, probability and statistics. Students must take a math assessment for placement purposes prior to registration. Prerequisite: Foundations of Algebra or equivalent skills.

Essential Objectives:

1. Apply basic concepts of set theory and use Venn diagrams to solve problems related to surveys and probabilities.
2. Utilize real number system operations (fractions, decimals, percentages, ratios, proportions, and unit conversions) in the interpretation and analysis of problems from a variety of fields.
3. Analyze and interpret linear and nonlinear relationships using graphs and equations, and apply algebraic techniques and models to a variety of problems.
4. Apply geometric concepts including angles, areas, volumes, and the Pythagorean Theorem.
5. Examine and apply the concepts of probabilities using a variety of methods including counting techniques, frequency tables, probability distributions, pie charts, and graphs.
6. Apply basic statistics, using sampling, tables, charts, graphs, means, standard deviation and normal distribution, to interpret and draw conclusions from data.
7. Compute and analyze the impacts of simple and compound interest, and analyze finance applications related to savings, taxes, discounts, loans, and purchases.
8. Select and perform appropriate procedures to solve mathematical problems arising in various disciplines, and demonstrate proficiency in interpreting, evaluating and presenting quantitative data and information.
9. Demonstrate proficiency on the quantitative reasoning graduation assessment.

Textbooks:

Summer 2020 textbook data will be available on April 6. On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be for this course only. Please see this page for more information regarding the purchase of textbooks.

The last day to use a Financial Aid advance to purchase textbooks is the 3rd Tuesday of the semester. See your financial aid counselor at your academic center if you have any questions.

Contact Faculty:

Email: Laura Marthaler
Hiring Coordinator for this course: James Leete

Please note: In order to receive accommodations for disabilities in this course, students must make an appointment to see the Americans with Disabilities Coordinator in their site and bring documentation with them.

Academic Honesty: CCV has a commitment to honesty and excellence in academic work and expects the same from all students. Academic dishonesty, or cheating, can occur whenever you present -as your own work- something that you did not do. You can also be guilty of cheating if you help someone else cheat. Being unaware of what constitutes academic dishonesty (such as knowing what plagiarism is) does not absolve a student of the responsibility to be honest in his/her academic work. Academic dishonesty is taken very seriously and may lead to dismissal from the College.

Course description details subject to change. Please refer to this document frequently.

To check on space availability, choose Search for Classes.


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