A proof-aware linear algebra path covering systems, matrices, vector spaces, transformations, orthogonality, eigenvalues, and applications.
Pacing
8 units, 20-30 weeks self-paced
Units
8 unit sequence
Practice
512 checked answers
Support
Self-paced or tutor-guided
Outcomes
Solve linear systems and explain the geometry behind the computation.
Use matrix, vector-space, and transformation language precisely.
Connect eigenvectors, orthogonality, and least squares to real modeling problems.
Course command center
Know what to study, what to repair, and where to jump next
This track is organized as a mastery loop: source study, sequenced checks, Khan report evidence, then tutor handoff only when the data shows a real stuck point.
8
Units
512
Checks
64-64/unit
Range
Mastery loop
01Study
Use linked OER and companion sources before attempting checks.
02Practice
Move through numbered PeerTutor problems without skipping failed gates.
03Mirror
Enter Khan report evidence and let the adaptive plan rank repair units.
04Handoff
Bring exact misses, notes, and one sharp question to a tutor.
The bank is intentionally mixed across facets and difficulty so high scores cannot come from one narrow question style.
Facets
Concept116
Fluency39
Application100
Analysis64
Exam Readiness65
Metacognition128
Difficulty
Foundation208
Developing104
Proficient112
Advanced88
Khan progress mirror
Mirror outside mastery into PeerTutor practice
Khan Academy progress has to be entered from the student or tutor report. Khan does not provide a supported public progress API, so this mirror stores unit status locally and uses it to target PeerTutor checks.
0%
Avg
0
Mastered
8
Review
Khan report mirror
Khan Academy does not provide a supported public progress API or external API keys. PeerTutor stores student-provided report evidence and maps it to original practice instead.
0 repair units and 5 practice units need attention before extension.
Unit 1practiceVectors and linear systems
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Khan 0%64 PeerTutor checks
Unit 2practiceMatrices and elimination
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Khan 0%64 PeerTutor checks
Unit 3practiceVector spaces and subspaces
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Khan 0%64 PeerTutor checks
Unit 4practiceIndependence, basis, and dimension
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Khan 0%64 PeerTutor checks
Unit 5practiceLinear transformations
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Khan 0%64 PeerTutor checks
Unit 1Vectors and linear systemsRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Vectors and linear systems", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Represent systems as equations, vector combinations, and augmented matrices. · Interpret span and solution sets geometrically.
Unit 2Matrices and eliminationRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Matrices and elimination", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Use row operations, echelon form, pivots, rank, and LU factorization. · Detect inconsistent and dependent systems.
Unit 3Vector spaces and subspacesRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Vector spaces and subspaces", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Use subspace tests for column spaces, null spaces, and spans. · Move between set notation, equations, and bases.
Unit 4Independence, basis, and dimensionRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Independence, basis, and dimension", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Test linear independence and construct bases. · Use dimension to reason about coordinates and redundancy.
Unit 5Linear transformationsRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Linear transformations", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Represent transformations with matrices. · Use kernels, images, composition, invertibility, and change of basis.
Unit 6Orthogonality and least squaresRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Orthogonality and least squares", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Use dot products, projections, orthogonal bases, and Gram-Schmidt. · Fit least-squares models and interpret residuals.
Unit 7Determinants and eigenvaluesRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Determinants and eigenvalues", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Compute determinants and eigenvalues. · Use diagonalization to understand repeated transformations.
Unit 8Applications and proof capstoneRepair before advancing
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Applications and proof capstone", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Mapped skills: Apply linear algebra to graphs, Markov chains, data compression, and differential equations. · Write short proofs from definitions.
Loading saved mirror.
Unit sequence
Built for independent progress first, then tutor support where the student gets stuck.
01
Vectors and linear systems
Represent systems as equations, vector combinations, and augmented matrices.
Interpret span and solution sets geometrically.
Practice: Solve a three-equation system and describe the solution as a point, line, plane, or empty set.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Represent systems as equations, vector combinations, and augmented matrices.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Solve a three-equation system and describe the solution as a point, line, plane, or empty set.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Interpret span and solution sets geometrically.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Vectors and linear systems practice set has 12 questions. If 5 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Vectors and linear systems"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Vectors and linear systems" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Vectors and linear systems"?
#6Second targetConceptfoundation
Which second target belongs to "Vectors and linear systems"?
02
Matrices and elimination
Use row operations, echelon form, pivots, rank, and LU factorization.
Detect inconsistent and dependent systems.
Practice: Reduce a matrix by hand, identify pivot columns, and state rank and free variables.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Use row operations, echelon form, pivots, rank, and LU factorization.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Reduce a matrix by hand, identify pivot columns, and state rank and free variables.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Detect inconsistent and dependent systems.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Matrices and elimination practice set has 13 questions. If 6 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Matrices and elimination"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Matrices and elimination" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Matrices and elimination"?
#6Second targetConceptfoundation
Which second target belongs to "Matrices and elimination"?
03
Vector spaces and subspaces
Use subspace tests for column spaces, null spaces, and spans.
Move between set notation, equations, and bases.
Practice: Determine whether three proposed sets are subspaces and justify each conclusion.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Use subspace tests for column spaces, null spaces, and spans.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Determine whether three proposed sets are subspaces and justify each conclusion.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Move between set notation, equations, and bases.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Vector spaces and subspaces practice set has 14 questions. If 7 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Vector spaces and subspaces"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Vector spaces and subspaces" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Vector spaces and subspaces"?
#6Second targetConceptfoundation
Which second target belongs to "Vector spaces and subspaces"?
04
Independence, basis, and dimension
Test linear independence and construct bases.
Use dimension to reason about coordinates and redundancy.
Practice: Find bases for the column space and null space of one matrix and explain the dimensions.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Test linear independence and construct bases.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Find bases for the column space and null space of one matrix and explain the dimensions.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Use dimension to reason about coordinates and redundancy.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Independence, basis, and dimension practice set has 15 questions. If 8 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Independence, basis, and dimension"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Independence, basis, and dimension" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Independence, basis, and dimension"?
#6Second targetConceptfoundation
Which second target belongs to "Independence, basis, and dimension"?
05
Linear transformations
Represent transformations with matrices.
Use kernels, images, composition, invertibility, and change of basis.
Practice: Build a matrix for a geometric transformation and predict what happens to several vectors.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Represent transformations with matrices.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Build a matrix for a geometric transformation and predict what happens to several vectors.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Use kernels, images, composition, invertibility, and change of basis.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Linear transformations practice set has 16 questions. If 9 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Linear transformations"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Linear transformations" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Linear transformations"?
#6Second targetConceptfoundation
Which second target belongs to "Linear transformations"?
06
Orthogonality and least squares
Use dot products, projections, orthogonal bases, and Gram-Schmidt.
Fit least-squares models and interpret residuals.
Practice: Fit a least-squares line from matrix notation and explain why the residual is orthogonal.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Use dot products, projections, orthogonal bases, and Gram-Schmidt.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Fit a least-squares line from matrix notation and explain why the residual is orthogonal.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Fit least-squares models and interpret residuals.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Orthogonality and least squares practice set has 17 questions. If 10 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Orthogonality and least squares"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Orthogonality and least squares" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Orthogonality and least squares"?
#6Second targetConceptfoundation
Which second target belongs to "Orthogonality and least squares"?
07
Determinants and eigenvalues
Compute determinants and eigenvalues.
Use diagonalization to understand repeated transformations.
Practice: Diagonalize a small matrix when possible and use it to compute a matrix power.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Compute determinants and eigenvalues.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Diagonalize a small matrix when possible and use it to compute a matrix power.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Use diagonalization to understand repeated transformations.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Learning analysis
0/64
Tried
0
Correct
0%
Mastery
Weakest facet: Concept
Concept0/15
Fluency0/5
Application0/13
Analysis0/8
Exam Readiness0/7
Metacognition0/16
#1Quantitative warmupApplicationfoundationNext
A Determinants and eigenvalues practice set has 18 questions. If 11 are complete, how many remain?
#2Mathematical reasoningConceptfoundation
Which habit best fits a serious math solution?
#3Unit readinessConceptfoundation
Which target best matches the Linear Algebra unit "Determinants and eigenvalues"?
#4Practice artifactApplicationfoundation
Which practice artifact should you produce for "Determinants and eigenvalues" before asking a tutor for help?
#5Unit targetConceptfoundation
Which target best proves readiness for "Determinants and eigenvalues"?
#6Second targetConceptfoundation
Which second target belongs to "Determinants and eigenvalues"?
08
Applications and proof capstone
Apply linear algebra to graphs, Markov chains, data compression, and differential equations.
Write short proofs from definitions.
Practice: Complete an application brief with the matrix model, assumptions, computation, and interpretation.
Unit work plan
1
Source study
Start with 18.06 Linear Algebra and OpenStax Math. Take notes until you can explain: Apply linear algebra to graphs, Markov chains, data compression, and differential equations.
2
Foundation gate
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
3
Transfer gate
Produce the assignment artifact, then pass the application and analysis checks tied to: Complete an application brief with the matrix model, assumptions, computation, and interpretation.
4
Repair loop
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
5
Tutor handoff
Bring your attempted work, the exact missed check, and one question about: Write short proofs from definitions.
Sequenced original practice checks
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.