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No Cost Textbook/Resources Courses

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Course Planning by Program

2024-25

Essential Objectives

Course Syllabus


Revision Date: 15-Dec-23
 

Spring 2024 | MAT-1030-VA01 - 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: St. Albans
Credits: 3 (45 hours)
Day/Times: Thursday, 06:00P - 08:45P
Semester Dates: 01-25-2024 to 05-02-2024
Last day to drop without a grade: 02-11-2024 - Refund Policy
Last day to withdraw (W grade): 03-24-2024 - Refund Policy
This course has started, please contact the offering academic center about registration

Faculty

Zach Gervais
View Faculty Credentials
View Faculty Statement
Hiring Coordinator for this course: Nick Molander

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 course uses one or more textbooks/books/simulations.

Spring 2024 textbook details will be available on 2023-11-06. On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be specific to this class. Please see this page for more information regarding the purchase of textbooks/books.

MAT-1030-VA01 Link to Textbooks for this course in eCampus.

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


Methods

• Lecture/Class Discussion

• Textbook assignments

• Individual assignments during class

• Project (w/ formal presentation)

• Small group activities, including games and simulations

• Scheduled Quizzes

• Mid-Term and Final Exams


Evaluation Criteria

Mid-Term Exam 20%

Final Exam 20%

Scheduled Quizzes 20%

Personal Finance Project/Presentation 10%

Textbook Homework 15%

Attendance/Class Participation 15%


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

~ Introductions

~ Chap. 1 – Thinking Critically

    
 

2

~ Quiz # 1 (Thinking Critically)

~ Chap. 2 – Appr. to Problem Solving

    
 

3

~ Chap. 2 – Appr. to Problem Solving

    
 

4

~ Quiz # 2 (Appr. To Problem Solving)

~ Chap. 3 – Numbers in the Real World

    
 

5

~ Chap. 3 – Numbers in the Real World

    
 

6

~ Chap. 3 – Numbers in the Real World

    
 

7

~ Mid-Term Exam

    
 

8

~ Chap. 4 – Managing Money

    
 

9

~ Chap. 4 – Managing Money

    
 

10

~ Quiz # 3 (Managing Money)

~ Chap. 5 – Statistical Reasoning

    
 

11

~ Chap. 5 – Statistical Reasoning

*Personal Finance Presentations/Projects Due

    
 

12

~ Quiz # 4 (Statistical Reasoning)

~ Chap. 6 – Putting Statistics to Work

    
 

13

~ Chap. 6 – Putting Statistics to Work

    
 

14

~ Quiz # 5 (Putting Statistics to Work)

~ Chap. 7 - Probability

    
 

15

~ 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.


Participation Expectations

Participation Expectations:

  1. I encourage all students to actively participate during class activities in a courteous and respectful manner toward other students and myself.
  2. During team activities, I expect full participation by all team members (as compared to one or two team members doing all the work) to ensure that everyone is learning and actively engaged in the activity.
  3. Professional/Academic language is expected. No slang, curse words, etc. is allowed either during verbal classroom discussion or in written assignments.
  4. When writing, please write in full sentences, so that your message is clear and fully understood.

Artificial Intelligence (AI) Statement: The use of generative Artificial Intelligence (AI) is not allowed in this course, with the exception of spell check, grammar check and similar tools. This course rests in the value of students engaging in the learning process without relying on AI-generated content. Students will develop critical thinking and problem-solving skills independently, owning their learning journey from start to finish. If you use these tools, your actions would be considered academically dishonest and a violation of CCV’s Academic Integrity Policy.



Missing & Late Work Policy

Late Policy:

Assignments are due by the due date. In the event that you need to pass in an assignment late, then a penalty of 10 points per day will be applied to the late assignment. If you experience an extenuating circumstance that prevents you from meeting a due date, please contact me.


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.