Physics 1 with Python Applications (Highschool)

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Introductory Course of Physics. Which covers the following Topics

Trigonometry (Review)
Vectors and Scalars
Python 101.1 (Basics og=f Python in Physics)
Kinematics
Dynamics
Energy, Work and Power
Physics and Python
Physics and Artificial Intelligence
Physics and Simulations

Contenido del Curso

1. Trigonometry (Review)
This section revisits the fundamental concepts of trigonometry, essential for solving physics problems involving angles, forces, and motion. Topics covered include sine, cosine, and tangent functions, the Pythagorean theorem, and their applications in vector analysis and motion. Also you will solve excercises.

1.1 Trigonometric Functions: Sine, Cosine, and Tangent
Section 1: Basic Trigonometry Concepts
1.2 Pythagorean Theorem and Its Application in Physics
Section 2: Pythagorean Theorem and Applications
1.3 Solving Right and Oblique Triangles

2. Vectors and Scalars
Introduces the distinction between scalar and vector quantities. Scalars have magnitude only (e.g., temperature, mass), while vectors have both magnitude and direction (e.g., velocity, force). Vector operations, including addition, subtraction, and multiplication, are covered.

3. Python 101.1 (Basics of Python in Physics)
Provides an introduction to Python programming with a focus on its applications in physics. Topics include variables, data types, loops, functions, and plotting graphs using libraries like NumPy and Matplotlib for analyzing physical data.

4. Kinematics
Here's an expanded version of your course outline, structured into detailed lessons: --- # Course: Kinematics – The Study of Motion ## Course Description This course explores the motion of objects without considering the forces that cause the motion. Through theoretical concepts and problem-solving exercises, students will develop a deep understanding of how objects move in one and two dimensions. ## Course Objectives By the end of this course, students will be able to: - Describe motion using precise mathematical and graphical representations. - Analyze velocity and acceleration in various motion scenarios. - Differentiate between uniform and accelerated motion. - Apply kinematic equations to solve real-world motion problems.

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Physics 1 with Python Applications (Highschool)

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Contenido del Curso

1.1 Trigonometric Functions: Sine, Cosine, and Tangent

Section 1: Basic Trigonometry Concepts

1.2 Pythagorean Theorem and Its Application in Physics

Section 2: Pythagorean Theorem and Applications

1.3 Solving Right and Oblique Triangles

2. Vectors and Scalars
Introduces the distinction between scalar and vector quantities. Scalars have magnitude only (e.g., temperature, mass), while vectors have both magnitude and direction (e.g., velocity, force). Vector operations, including addition, subtraction, and multiplication, are covered.

1. Scalars vs. Vectors

2. Vector Representation

3. Vector Operations

4. Key Differences Between Scalars and Vectors

3. Python 101.1 (Basics of Python in Physics)
Provides an introduction to Python programming with a focus on its applications in physics. Topics include variables, data types, loops, functions, and plotting graphs using libraries like NumPy and Matplotlib for analyzing physical data.

3.1 Variables and Data Types

3.2 Mathematical Operators and Control Structures

3.3 Functions and Libraries (NumPy & Matplotlib)

3.4 Graphing and Data Analysis in Physics Problems

4.1 Introduction to Kinematics

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Acerca de este curso

Contenido del Curso

1.1 Trigonometric Functions: Sine, Cosine, and Tangent

Section 1: Basic Trigonometry Concepts

1.2 Pythagorean Theorem and Its Application in Physics

Section 2: Pythagorean Theorem and Applications

1.3 Solving Right and Oblique Triangles

1. Scalars vs. Vectors

2. Vector Representation

3. Vector Operations

4. Key Differences Between Scalars and Vectors

3. Python 101.1 (Basics of Python in Physics) Provides an introduction to Python programming with a focus on its applications in physics. Topics include variables, data types, loops, functions, and plotting graphs using libraries like NumPy and Matplotlib for analyzing physical data.

3.1 Variables and Data Types

3.2 Mathematical Operators and Control Structures

3.3 Functions and Libraries (NumPy & Matplotlib)

3.4 Graphing and Data Analysis in Physics Problems

4.1 Introduction to Kinematics

Calificaciones y reseñas de los estudiantes

Support

3. Python 101.1 (Basics of Python in Physics)
Provides an introduction to Python programming with a focus on its applications in physics. Topics include variables, data types, loops, functions, and plotting graphs using libraries like NumPy and Matplotlib for analyzing physical data.