LER.me

Make All Learning Count.

Get Connected

  • What is a LER?
  • FAQs (opens in new tab)
  • Partner with Us
  • Visit EBSCOed (opens in new tab)

View our Policies

  • Accessibility (opens in new tab)
  • Standards (opens in new tab)
  • Terms of Use (opens in new tab)
  • Privacy Policy (opens in new tab)
  • Opt out (opens in new tab)

Get the app

Get it on Google PlayDownload on the App Store

© 2026 All rights reserved.

Powered by EBSCOed

Skip to main contentSkip to footer
  • Live Data
My LER
My LER
  1. Programs
  3. Linear Algebra for Machine Learning

Linear Algebra for Machine Learning

University of Colorado Boulder

Micro-CredentialCIP: 27.0102

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

Learn the foundational linear algebra needed for machine learning and artificial intelligence.

Loading Skills & Competencies
Program Pathways

Credentials this program stacks toward

No program pathways.

Loading What You'll Learn
Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

Visit Program Website
Locations

Where this program is offered

  • Boulder, Colorado

    Regent Drive at Broadway, Boulder, Colorado, 80309-0017

Loading Student Outcomes
Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1022.00

Skills

Reading ComprehensionCritical ThinkingSpeakingActive ListeningComplex Problem SolvingWritingMathematicsMonitoringJudgment and Decision MakingScienceInstructingLearning StrategiesActive LearningTime ManagementCoordinationSocial Perceptiveness

Knowledge

English LanguageComputers and ElectronicsMathematicsEducation and TrainingPhysicsAdministrativeEngineering and TechnologyDesignCustomer and Personal ServiceMedicine and DentistryBiologyAdministration and Management

Abilities

Oral ExpressionOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningSpeech ClarityInformation OrderingProblem SensitivityMathematical ReasoningNumber FacilityNear VisionCategory FlexibilitySpeech Recognition

Tasks

  • Compile, administer, and grade examinations, or assign this work to others.
  • Evaluate and grade students' class work, assignments, and papers.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra,
  • Hire adjunct faculty.
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians,
  • Develop new principles and new relationships between existing mathematical principles to advance mat
  • Perform hydrologic, hydraulic, or water quality modeling.
  • Analyze storm water systems to identify opportunities for water resource improvements.
  • Conduct, or oversee the conduct of, investigations on matters such as water storage, wastewater disc
  • Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols.
  • Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performi
  • Assess eligibility of potential subjects through methods such as screening interviews, reviews of me
  • Hire, supervise, or evaluate engineers, technicians, researchers, or other staff.
  • Design or coordinate successive phases of problem analysis, solution proposals, or testing.
  • Plan or direct research, development, or production activities.

Technology

Data base user interface and query softwareAnalytical or scientific softwareGraphics or photo imaging softwareGeographic information systemComputer based training softwareCalendar and scheduling softwareWord processing softwareOperating system softwareContent workflow softwareDevelopment environment softwareComputer aided design CAD softwareCustomer relationship management CRM softwareAccounting softwareCategorization or classification softwareVideo conferencing softwareDocument management softwareSpreadsheet software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersConference telephonesDesktop computersDigital calculatorsDigital video camerasDigital video disk DVD playersHandheld microphonesInteractive whiteboard controllersInteractive whiteboardsLaptop computersLaser facsimile machinesGraphing calculatorsOptical disk drivesPersonal computersSupercomputersUniversal serial bus USB flash drivesAutomated water sampling equipmentBinocular light compound microscopesChlorine testersDigital pH metersDissolved oxygen indicatorsGlobal positioning system GPS receiversGrab samplersGravitational field indicatorsMobile radiosMulti-line telephone systems

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Mathematical Science Teachers, Postsecondary25-1022.00
  • Mathematicians15-2021.00
  • Water Resource Specialists11-9121.02
  • Clinical Research Coordinators11-9121.01
  • Natural Sciences Managers11-9121.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: emerging (Level 1)(based on Micro-Credential)

  • Undergraduate course lectures — prepare and deliver introductory presentations on topics such as calculus or linear algebra under the guidance of a supervising faculty mentor in a university classroom setting.
  • Examination materials — compile and administer assessments for lower-division mathematics courses using departmentally approved templates and rubrics under faculty supervision.
  • Student work — evaluate and grade routine homework assignments and quizzes using provided answer keys and grading guidelines in a postsecondary instructional context.
  • Course syllabi and handouts — prepare standard course materials by adapting existing departmental templates for use in an introductory undergraduate mathematics course.
  • Student attendance and grade records — maintain accurate logs using university learning management systems under the procedural guidance of senior faculty.
  • Classroom discussions — initiate and facilitate structured student exchanges on foundational mathematical concepts by following discussion protocols established by the course coordinator.
  • Office hours — maintain regularly scheduled sessions to provide academic guidance to undergraduate students in a university mathematics department.
  • Mathematical reasoning problems — apply deductive and inductive reasoning to explain standard proof techniques to students encountering formal mathematics for the first time.
  • Analytical software tools — use course-approved platforms such as MATLAB or Mathematica to demonstrate mathematical concepts during scheduled laboratory or recitation sessions.
  • Active listening and social awareness — observe student comprehension signals during lectures and adjust pacing or examples in response, under the mentorship of experienced instructors.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported