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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

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Available courses

This unit describes the competencies required to facilitate training on how to apply calculus. It involves determining derivatives of functions, applying differentiation and partial differentiation, determining integrals of functions and applying integration.

The course requirements typically include:

  1. Prerequisite Knowledge:

    • Algebra: Proficiency in manipulating algebraic expressions, solving equations and inequalities, and understanding functions.
    • Geometry: Understanding geometric shapes, properties, and theorems, particularly those related to coordinate geometry.
    • Trigonometry: Familiarity with trigonometric functions, identities, and equations, as well as their applications in various contexts.
    • Pre-Calculus: Mastery of topics such as polynomial, rational, exponential, logarithmic, and trigonometric functions, and their graphs.
  2. Core Calculus Concepts:

    • Limits: Understanding the concept of a limit, calculating limits, and applying limits to understand the behavior of functions.
    • Derivatives: Mastery of differentiation techniques, interpreting derivatives as rates of change, and applying derivatives to real-world problems.
    • Integrals: Understanding integration, calculating definite and indefinite integrals, and applying integration to compute areas, and volumes, and solve other practical problems.
    • Fundamental Theorem of Calculus: Grasping the relationship between differentiation and integration.
  3. Online Assessments:

    • Interactive quizzes and assignments are administered through learning management systems, allowing for automated grading and instant feedback.
  4. The following are your course facilitators:Mr. Emmanuel Indeche, 0713923505, indecheemmanuel5@gmail.com 

This unit describes the competencies required to facilitate training on how to apply Trigonometry, hyperbolic functions, and Complex Numbers. This includes applying trigonometric ratios, applying trigonometric rules, solving trigonometric equations, applying hyperbolic functions, performing complex numbers operations, and applying De Moivre’s Theorem.

To study trigonometry effectively, students should have a solid understanding of the following prerequisite knowledge:

1. Basic Algebra

Arithmetic Operations: Addition, subtraction, multiplication, and division.

Solving Equations: Techniques for solving linear equations and simple quadratic equations.

Understanding Variables: Grasp of variables and their manipulation.

Functions: Basic concept of a function, function notation, and evaluating functions.

2. Geometry

Basic Geometric Shapes: Familiarity with basic shapes such as triangles, circles, and polygons.

Properties of Triangles: Knowledge of different types of triangles (equilateral, isosceles, and scalene) and their properties.

Pythagorean Theorem: Understanding the relationship between the sides of a right triangle.

Angles: Types of angles (acute, obtuse, right), complementary and supplementary angles, and angle relationships.

3. Number Theory

Prime Numbers: Basic properties and identification of prime numbers.

Divisibility Rules: Understanding basic divisibility rules.

Factors and Multiples: Concept of factors, multiples, and greatest common divisors.

4. Coordinate Geometry

Cartesian Plane: Understanding of the x-y coordinate system.

Plotting Points: Ability to plot points on the Cartesian plane.

Distance and Midpoint Formulas: Knowledge of formulas to calculate the distance between two points and the midpoint of a segment.

5. Ratios and Proportions

Ratios: Understanding the concept of ratios and how to simplify them.

Proportions: Solving proportional relationships.

6. Measurement

Units of Measurement: Familiarity with different units of measurement (length, area, volume, angles).

Conversion Between Units: Ability to convert between different units.

7. Logical Reasoning and Problem-Solving Skills

Logical Thinking: Ability to approach problems methodically and think logically.

Pattern Recognition: Identifying patterns and relationships between different mathematical concepts.

 

This unit describes the competencies required to facilitate training on how to apply vector and linear algebra. This includes Performing vector algebra, determining Vector derivatives, directional derivatives, applying Coplanar vectors, areas, and volumes, performing multiple integrations, using Green’s theorem, Stokes’s theorem, applying Gauss’s theorem and Conservative vector fields, and determining line and surface integrals.

To effectively study linear and vector algebra, students should have a solid understanding of the following prerequisite knowledge:

1. Basic Algebra

  • Arithmetic Operations: Proficiency in addition, subtraction, multiplication, and division.
  • Solving Equations: Techniques for solving linear equations and simple quadratic equations.
  • Understanding Variables: Grasp of variables and their manipulation.
  • Functions: Basic concept of a function, function notation, and evaluating functions.

2. Geometry

  • Basic Geometric Shapes: Familiarity with basic shapes such as lines, planes, triangles, and polygons.
  • Properties of Shapes: Understanding properties and relationships of geometric figures.
  • Vectors in Geometry: Understanding vectors as directed line segments, including magnitude and direction.

3. Number Theory

  • Prime Numbers: Basic properties and identification of prime numbers.
  • Divisibility Rules: Understanding basic divisibility rules.
  • Factors and Multiples: Concept of factors, multiples, and greatest common divisors.

4. Coordinate Geometry

  • Cartesian Plane: Understanding of the x-y coordinate system.
  • Plotting Points: Ability to plot points on the Cartesian plane.
  • Distance and Midpoint Formulas: Knowledge of formulas to calculate the distance between two points and the midpoint of a segment.
  • Lines and Slopes: Understanding the slope of a line and equations of lines.

5. Logical Reasoning and Problem-Solving Skills

  • Logical Thinking: Ability to approach problems methodically and think logically.
  • Pattern Recognition: Identifying patterns and relationships between different mathematical concepts.
  • Proofs: Basic understanding of mathematical proofs and logical argumentation.

6. Basic Set Theory

  • Sets and Subsets: Understanding sets, subsets, and operations on sets (union, intersection, difference).
  • Relations and Functions: Understanding relations and functions, including domain, range, and types of functions (one-to-one, onto).

7. Elementary Linear Algebra Concepts

  • Scalars and Vectors: Understanding the difference between scalars and vectors.
  • Vector Operations: Basic operations with vectors, such as addition, subtraction, and scalar multiplication.
  • Linear Combinations: Understanding linear combinations of vectors and their significance.
  • Matrices: Introduction to matrices, including basic matrix operations (addition, subtraction, and multiplication).

Application in Linear and Vector Algebra

This foundational knowledge will support the understanding and application of key concepts in linear and vector algebra, such as:

  • Vector Spaces: Understanding vector spaces, subspaces, basis, and dimension.
  • Linear Transformations: Grasping the concept of linear transformations and their properties.
  • Matrix Theory: Working with matrices, including determinants, inverses, and eigenvalues/eigenvectors.
  • Systems of Linear Equations: Solving systems of linear equations using methods like Gaussian elimination and matrix operations.
  • Dot Product and Cross Product: Calculating and interpreting dot products and cross products in vector algebra.
  • Orthogonality: Understanding orthogonal vectors and orthogonal projections.
  • Eigenvalues and Eigenvectors: Calculating and applying eigenvalues and eigenvectors.