Free Course Image Tensors for Beginners: Learn Tensor Calculus Fundamentals

Free online courseTensors for Beginners: Learn Tensor Calculus Fundamentals

Duration of the online course: 3 hours and 6 minutes

New

Free beginner course on tensor calculus: vectors, covectors, linear maps, metric tensor, tensor products, and raising/lowering indices.

In this free course, learn about

  • Getting Oriented: Why Tensors and What They Are
  • Vectors, Bases, and Transformation Rules
  • Covectors and Dual Spaces
  • Linear Maps and How They Transform
  • Metrics and Bilinear Forms
  • Building Higher-Order Tensors
  • Index Gymnastics: Raising and Lowering

Course Description

Build a solid, beginner-friendly understanding of tensor calculus with this free online course in Basic Education focused on Calculus. It starts from the motivation behind tensors and carefully develops the core language needed to work confidently with coordinates and transformations.

You will move from clear definitions of vectors and their transformation rules to the dual viewpoint through covectors, including how components behave under a change of basis. From there, the course connects these ideas to linear maps and the rules that keep calculations consistent across coordinate systems.

As the foundations settle, you will explore the metric tensor and how it enables precise geometric measurement, along with bilinear forms and how they relate to combinations of covectors. The course then unifies the framework by showing how tensors can be built from general mixtures of vectors and covectors, and how tensor product spaces formalize these constructions.

To complete the toolkit, you will learn how index notation reflects the underlying structure, including raising and lowering indices and the intuition behind sharp and flat operators. Along the way, you will also clarify the difference between the tensor product and the Kronecker product, helping you avoid common confusion when moving between abstract definitions and matrix representations.

Course content

  • Video class: Tensors For Beginners (-1): Motivation 06m
  • Exercise: Which mathematical topic is presented as the main motivation for studying tensors?
  • Video class: Tensors for Beginners 0: Tensor Definition 09m
  • Exercise: Which statement best matches the “coordinate definition” of a tensor?
  • Video class: Tensors for Beginners 1: Forward and Backward Transformations (REMAKE) 11m
  • Exercise: What is the relationship between the forward transformation matrix F and the backward transformation matrix B?
  • Video class: Tensors for Beginners 2: Vector definition 09m
  • Video class: Tensors for Beginners 3: Vector Transformation Rules 05m
  • Exercise: If the basis vectors are scaled up by a factor of 2, how do the components of a fixed vector change in the new basis?
  • Video class: Tensors for Beginners 4: What are Covectors? 14m
  • Exercise: Which statement best describes a covector?
  • Video class: Tensors for Beginners 5: Covector Components (Contains diagram error; see description) 08m
  • Exercise: What does applying the dual basis covector \(\varepsilon^i\) to a vector \(v\) return?
  • Video class: Tensors for Beginners 6: Covector Transformation Rules 06m
  • Exercise: Which transformation is used to express the new dual basis covectors in terms of the old dual basis covectors?
  • Video class: Tensors for Beginners 7: Linear Maps 12m
  • Video class: Tensors for Beginners 8: Linear Map Transformation Rules 11m
  • Exercise: How do the components of a linear map (a (1,1)-tensor) transform when changing from an old basis to a new basis?
  • Video class: Tensors for Beginners 9: The Metric Tensor 16m
  • Exercise: In a non-orthonormal coordinate system, which object lets you correctly compute the squared length of a vector using its components and basis dot products?
  • Video class: Tensors for Beginners 10: Bilinear Forms 09m
  • Exercise: Which additional properties make a bilinear form a valid metric tensor (beyond being a (0,2)-tensor)?
  • Video class: Tensors for Beginners 11: Linear maps are Vector-Covector Pairs 12m
  • Exercise: What distinguishes a pure matrix (pure linear map) from an impure one in terms of its columns?
  • Video class: Tensors for Beginners 12: Bilinear Forms are Covector-Covector pairs 07m
  • Exercise: Why are covector–covector pairs a natural building block for bilinear forms?
  • Video class: Tensors for Beginners 13: Tensor Product vs Kronecker Product 04m
  • Exercise: Which statement best distinguishes the tensor product from the Kronecker product?
  • Video class: Tensors for Beginners 14: Tensors are general vector/covector combinations 08m
  • Exercise: Why is the expression Q(D) considered ambiguous for higher-type tensors?
  • Video class: Tensors for Beginners 15: Tensor Product Spaces 15m
  • Exercise: What does it mean to say a tensor (viewed as a function) is a multilinear map?
  • Video class: Tensors for Beginners 16: Raising/Lowering Indexes (with motivation, sharp flat operators) 15m
  • Exercise: Which object is used to lower indexes (convert a vector’s components from upstairs to downstairs)?

This free course includes:

3 hours and 6 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

100% free, from content to certificate

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