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Essential Objectives

Course Syllabus


Revision Date: 26-Aug-24
 

Fall 2024 | MAT-1030-VG01 - Applied Math Concepts


In Person Class

Standard courses meet in person at CCV centers, typically once each week for the duration of the semester.

Location: Bennington
Credits: 3 (45 hours)
Day/Times: Wednesday, 12:15P - 03:00P
Semester Dates: 09-04-2024 to 12-11-2024
Last day to drop without a grade: 09-16-2024 - Refund Policy
Last day to withdraw (W grade): 11-04-2024 - Refund Policy
This course has started, please contact the offering academic center about registration

Faculty

Jesse Herbert
View Faculty Credentials
View Faculty Statement
Hiring Coordinator for this course: Deb Grant

General Education Requirements


This section meets the following CCV General Education Requirement(s) for the current catalog year:
VSCS 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 catalog year 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: Math & Algebra for College 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, written summaries, 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.
10. Apply quantitative reasoning to analyze social justice problems in a variety of different contexts and consider whether these approaches are just and equitable.


Required Technology

More information on general computer and internet recommendations is available on the CCV IT Support page. https://support.ccv.edu/general/computer-recommendations/

Please see CCV's Digital Equity Statement (pg. 45) to learn more about CCV's commitment to supporting all students access the technology they need to successfully finish their courses.


Required Textbooks and Resources


*** This is a no cost textbook or resource class. ***

This course only uses free Open Educational Resources (OER) and/or library materials. For details, see the Canvas Site for this class.


Artificial Intelligence(AI) Policy Statement

CCV recognizes that artificial intelligence (AI) and generative AI tools are widely available and becoming embedded in many online writing and creative applications.

Allowed: This course's generative AI policy acknowledges technology, including generative AI, plays a supportive role in learning and feedback. During our class, we may use AI writing tools such as ChatGPT in certain specific cases. You will be informed as to when, where, and how these tools are permitted to be used, along with guidance for attribution. Any use outside of these specific cases constitutes a violation of CCV's Academic Integrity Policy.


Methods

Instructional methods will include online lecture videos, sample problems, and guided practice. Some group work may be utilized via discussion boards, and a final presentation serves as an in depth learning experience and chance to share something you value with your peers.


Evaluation Criteria

A final average of 60% or higher is needed to Pass. Note that I simply keep a running average of your graded performance throughout the semester, as follows:

· Homework Quizzes 50%

· Exams 35%

· Final Presentation (Real Application of Mathematics or RAM) 15%

Note: Late work earns 80% credit.

Homework: First, always check answers to assigned/suggested exercises in the back of the free Openstax e-textbook (in the Answer Key section) of any performed work before our next class to know if you understood the material (and which questions you may need to ask about at the start of class). Beginning Week 2, evidence of homework comprehension/proficiency is checked with a short (several question, multiple choice, ample time limit) quiz, taken outside of class time via our Canvas page. Two attempts are allowed, with the best of either recorded.

Tests: Two tests (20 questions, two attempts, multiple choice/online/90 minutes) are given per semester (a midterm and a final), taken during class time. Emergencies are handled on a case-by-case basis, but missing one of these two exams without prior arrangements generally requires documentation of a medical emergency. Two attempts are allowed for each exam, with the best of either recorded.

Final Project (RAM): The final project, a 5-7 minute presentation, is given live at the semester's end. No submission = zero*. Late final presentations will may be accepted with documented need*. Details on these projects are in our Canvas modules section (same document in both week 2 and week 14). Ultimately, keep this low stress. While a rubric is provided, it is graded generously. This is new territory for many. Students have complete freedom to select a topic of interest, assuming one shows clearly how math is related to the subject (and it must go beyond simple "accounting" type math, i.e. solely costs associated with a vacation, or simple sporting statistics would not be sufficient).

Attendance: See "Attendance Policy"

· *As emergencies arise, serious setbacks are discussed case-by-case.


Grading Criteria

CCV Letter Grades as outlined in the Evaluation System Policy are assigned according to the following chart:

 HighLow
A+10098
A Less than 9893
A-Less than 9390
B+Less than 9088
B Less than 8883
B-Less than 8380
C+Less than 8078
C Less than 7873
C-Less than 7370
D+Less than 7068
D Less than 6863
D-Less than 6360
FLess than 60 
P10060
NPLess than 600


Weekly Schedule


Week/ModuleTopic  Readings  Assignments
 

1

Week 1: Introduction and Review of the Quantitative Reasoning Assessment (QRA)

    
 

2

Week 2: Number Theory Part A

    
 

3

Week 3: Number Theory Part B

    
 

4

Week 4: Linear and Nonlinear Problem-Solving

    
 

5

Week 5: Number Theory and Geometry

    
 

6

Week 6: Linear and Nonlinear Problem-Solving Continued

    
 

7

Week 7: Exam #1 and QRA Practice

    
 

8

Week 8: Statistics

    
 

9

Week 9: Probability

    
 

10

Week 10: Probability and Statistics Application Problems

    
 

11

Week 11: QRA Practice

    
 

12

Week 12: Consumer Math

    
 

13

Week 13: Set Theory

    
 

14

Week 14: Review for the Final Exam

    
 

15

Week 15: Finish Line--Presentations Part 2 & Final Exam

    
 

Attendance Policy

Regular attendance and participation in classes are essential for success in and are completion requirements for courses at CCV. A student's failure to meet attendance requirements as specified in course descriptions will normally result in a non-satisfactory grade.

  • In general, missing more than 20% of a course due to absences, lateness or early departures may jeopardize a student's ability to earn a satisfactory final grade.
  • Attending an on-ground or synchronous course means a student appeared in the live classroom for at least a meaningful portion of a given class meeting. Attending an online course means a student posted a discussion forum response, completed a quiz or attempted some other academically required activity. Simply viewing a course item or module does not count as attendance.
  • Meeting the minimum attendance requirement for a course does not mean a student has satisfied the academic requirements for participation, which require students to go above and beyond simply attending a portion of the class. Faculty members will individually determine what constitutes participation in each course they teach and explain in their course descriptions how participation factors into a student's final grade.


Missing & Late Work Policy

Late work earns 80% of full credit.


Accessibility Services for Students with Disabilities:


CCV strives to mitigate barriers to course access for students with documented disabilities. To request accommodations, please
  1. Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/discover-resources/students-with-disabilities/
  2. Request an appointment to meet with accessibility coordinator to discuss your request and create an accommodation plan.
  3. Once created, students will share the accommodation plan with faculty. Please note, faculty cannot make disability accommodations outside of this process.


Academic Integrity


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.