# Course Catalog

Found 12 courses.

## Mathematics

###
Algebra 1A (TuThu 12:20)
Akil Srinivasan, 1st Semester 2019-20
Moon 120 - Science Lab
:
Tue/Thu/Fri 12:20-13:45

MA - Algebra 1A / 0.5

This is the first semester of Algebra I. This course is appropriate for any students who are interested in taking it, regardless of whether they feel confident in math or not. In addition to learning the fundamentals of algebra, we’ll be devoting weekly class time to developing number sense, mathematical inquiry skills, and pattern recognition. Additional support time is available outside of class for students who would like additional help or more advanced challenges.

This class will cover 5 areas:

1. Numbers and Properties

2. Variables and Equations

3. Intro to Functions

4. Linear Functions

5. Linear Functions, Part II

In addition to the mathematics content, students are expected to

- listen with respect to another person’s explanation;
- provide help when asked;
- ask for help when needed;
- play an active role in sustaining a safe and encouraging learning space for one another; and
- treat all materials gently so that they may be reused.

###
Algebra 1A Tue/Thur 8:45am Rm221
Lance Brown, 1st Semester 2019-20
room 221
:
Tue/Thu/Fri 8:45-10:10

MA - Algebra 1A / 0.5

This is the first semester of Algebra I. This course is appropriate for any students who are interested in taking it, regardless of whether they feel confident in math or not. In addition to learning the fundamentals of algebra, we’ll be devoting weekly class time to developing number sense, mathematical inquiry skills, and pattern recognition. Additional support time is available outside of class for students who would like additional help or more advanced challenges.

This class will cover 5 areas:

1. Numbers and Properties

2. Variables and Equations

3. Intro to Functions

4. Linear Functions

5. Linear Functions, Part II

In addition to the mathematics content, students are expected to

- listen with respect to another person’s explanation;
- provide help when asked;
- ask for help when needed;
- play an active role in sustaining a safe and encouraging learning space for one another; and
- treat all materials gently so that they may be reused.

###
Algebra 2A (MWF 12:20)
Akil Srinivasan, 1st Semester 2019-20
120 - The Science Laboratory
:
Mon/Wed/Fri 12:20-13:45

MA - Algebra 2A / 0.5

This is the first of two semesters of Algebra 2. This course is appropriate for any students who are interested in taking it, and have taken geometry; it is the 3rd course in the math sequence at Nova. In addition to reviewing the fundamentals of algebra, we’ll be learning about a host of new functions. **The main focus will be how to use functions in real-life situations!**

Our class will spend time on mathematical inquiry skills, mechanical skills, and how to apply these ideas to real life problems in engineering, science, and student-driven areas of interest.

There will be about 2 hours of homework/studying per week. Be prepared to practice your math skills and collaborate on projects. We will also follow the 8 absence attendance policy, which will help keep you on top of things in this class.

This class will cover the following areas:

- Re-acquainting with linear functions and mathematical thinking
- Quadratics
- Polynomials
- Rational exponents & Radical functions
- Exponential & Logarithmic Functions part 1

In addition to the mathematics content, students are expected to

- Listen with respect to another person’s explanation
- Engage in discussion
- Communicate ideas both informally and formally
- Provide help when asked
- Ask for help when needed;
- Play an active role in sustaining a safe and encouraging learning space for one another
- Treat all materials gently so that they may be reused.

###
Algebra 2A (TuThuF 8:45)
Akil Srinivasan, 1st Semester 2019-20
120 - The Science Laboratory
:
Tue/Thu/Fri 8:45-10:10

MA - Algebra 2A / 0.5

This is the first of two semesters of Algebra 2. This course is appropriate for any students who are interested in taking it, and have taken geometry; it is the 3rd course in the math sequence at Nova. In addition to reviewing the fundamentals of algebra, we’ll be learning about a host of new functions. **The main focus will be how to use functions in real-life situations!**

Our class will spend time on mathematical inquiry skills, mechanical skills, and how to apply these ideas to real life problems in engineering, science, and student-driven areas of interest.

There will be about 2 hours of homework/studying per week. Be prepared to practice your math skills and collaborate on projects. We will also follow the 8 absence attendance policy, which will help keep you on top of things in this class.

This class will cover the following areas:

- Re-acquainting with linear functions and mathematical thinking
- Quadratics
- Polynomials
- Rational exponents & Radical functions
- Exponential & Logarithmic Functions part 1

In addition to the mathematics content, students are expected to

- Listen with respect to another person’s explanation
- Engage in discussion
- Communicate ideas both informally and formally
- Provide help when asked
- Ask for help when needed;
- Play an active role in sustaining a safe and encouraging learning space for one another
- Treat all materials gently so that they may be reused.

###
Calculus A Group Independent
Akil Srinivasan, 1st Semester 2019-20
Moon 120 - Science Lab
:
Mon 14:35-16:00

MA - Calculus A / 0.5

This is the first of two semesters of Calculus. This course is appropriate for any student interested in taking it, but they must have taken precalculus. It is a course in differential and integral calculus. We will focus on both theory (rigorous proofs) and applications. We will treat it as a group independent and learn through textbook readings, discussion, and interesting problems posed by students. Calculus applications are found everywhere, including physics, chemistry, biology, engineering, economics, and practically anything having to do with “change” in the world!

**This is group independent that meets to check in every week on only Monday at 2:35 with Lydia W. and Akil**

**Students must be willing to do most of the learning as an independent outside of the Mon check in time**

###
Competency Recovery
Lydia Wynn, 1st Semester 2019-20
207 - Winnie's Room
:
Mon/Wed 12:20-13:45

MA - Algebra 1A / 0.5; MA - Algebra 1B / 0.5; MA - Algebra 2A / 0.5; MA - Algebra 2B / 0.5; MA - Geometry A / 0.5; MA - Geometry B / 0.5

The objective of Competency Recovery is to satisfy the requirements of missed competencies in prior math classes. This course will be driven by individual student needs. Each student will complete their own portfolio based on the competencies that they need to complete or strengthen to be on track for graduation.

While building content competencies, students will also develop their skills of:

Perseverance

Communication/Relationship

Modeling

Building Connections

###
Financial Algebra T/Th Rm221
Lance Brown, 1st Semester 2019-20
B19 Lance's Room
:
Tue/Thu 8:45-10:10

MA - Algebra 2B / 0.5

In this class we will alternate between the personal and the general. We will learn the everyday skills adults need to establish a budget, bank, save and borrow money, and pay local and national taxes. At the same time, we will be exploring the finances of the country. Just as we look at our own budgets, we will explore the topic of balancing the federal budget and learn about the issues that surround the federal deficit. As we explore the distinction between “wants” and “needs” in our own budgets, we will examine the choices our own country makes in its military spending. As we explore the way taxes are taken out of paychecks (FICA) we will look at the structure and sustainability of Social Security and Medicare. We will explore income tax models comparing fixed-amount taxation to flat/proportional taxes, to the progressive tax model.

This is a math course for students who learn best by doing. It has been designed for those who “think with their hands” and who like to use math in real situations from the get go. We will do many labs and short term projects in this course. In addition to the math, we will be working throughout on problem solving skills, communication skills, and the ability to work on a team, the three attributes employers say are the most important to them.

###
Geometry A (A) MON 10:15 Rm221
Lance Brown, 1st Semester 2019-20
room 221
:
Mon/Wed 10:15-11:40

MA - Geometry A / 0.5

###
Geometry A (B) MON 12:20 Rm 221
Lance Brown, 1st Semester 2019-20
room 221
:
Mon/Wed 12:20-13:45

MA - Geometry A / 0.5

###
Introduction to Programming
Akil Srinivasan, 1st Semester 2019-20
Moon 120 - The Laboratory
:
Mon/Wed/Fri 8:45-10:10

MA - Math Analysis A / 0.5

Interested in coding? Want to make some cool applications and games? This is an introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. We’ll use the Java programming language.

**This is for students completely new or have little experience with programming**

The emphasis is on good programming style, built-in facilities of the Java language, and good software design principles (not your average hack jobs!). No prior programming experience required!

**Important**: You will watch **~45 min lectures** on your own and/or read outside of class. To show evidence of learning the background knowledge, you’ll write brief **reflections**. Time in class will be spent working on coding projects and getting feedback. You have to be ok spending time watching lectures and/or reading on your own!

**Credit**: Competencies will be shown through 6 programming projects and lecture/reading reflections.

**Available for 3rd year math credit or science seminar credit**

We will also follow the 8 absence attendance policy, which will help keep you on top of things in this class.

In addition to the programming content, students are expected to

- Listen with respect to another person’s explanation
- Engage in discussion
- Communicate ideas both informally and formally
- Provide help when asked
- Ask for help when needed;
- Play an active role in sustaining a safe and encouraging learning space for one another
- Treat all materials gently so that they may be reused.

###
Pre Calculus A
Lydia Wynn, 1st Semester 2019-20
207 - Winnie's Room
:
Tue/Thu/Fri 12:20-13:45

MA - Pre-Calculus A / 0.5; MA - Pre-Calculus A H / 0.5

**Pre Calculus Learning Objectives**

A chance to take mathematics to a whole new level. **Using prior mathematics learning (Algebra 1, Geometry, Algebra 2) as a foundation**, we are going to explore how math can apply to your world with an **introductory Calculus lens.** From working with **functions as a descriptor of relationships and change**, to developing **connections between triangles, circles, and functions** (trigonometry). We will open our minds to the language that is used to **describe the patterns of the world** and strengthen your comfort towards working with **mathematical notation, graphical representation, and manipulation.**

Experience in Algebra 1, Geometry, and Algebra 2 is highly encouraged as they represent the foundation of what we do in Pre Calculus. Complete mastery is not necessary, however genuine effort and honest question asking are welcomed! Please come to class with an open mind about where mathematics can take you in the world.

###
Statistics/Quantitative Reasoning A
Lydia Wynn, 1st Semester 2019-20
207 - Winnie's Room
:
Mon/Wed 10:15-11:40

MA - Probability & Statistics A / 0.5

Hello future statisticians!

The goal of this course is to help students build the necessary tools to help them understand the world from an analytical perspective. By building confidence with quantitative reasoning and communication of data, students will explore topics that help people make decision about the status of the world and anything it is. From mean, median, and mode to distribution models, to regression analysis strategies, students will leave this class with a base level understanding of qualitative and quantitative statistical analyses.