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  1. Programs
  3. Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Linear Algebra

Imperial College London

Micro-CredentialCIP: 27.0102

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

Learn about linear algebra necessary for machine learning.

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Program Pathways

Credentials this program stacks toward

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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

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Scholarships

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Locations

Where this program is offered

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Related Programs

Programs related to this one

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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

Auto-populated·from Scorecard + DOL
Completion Rate
7%
Placement Rate
55%