Imron Rosyadi
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  • Capaian Pembelajaran Lulusan (CPL) Program Studi
  • Capaian Pembelajaran Mata Kuliah
  • Bahan Kajian
  • Referensi
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  • Referensi Bebas Terbuka
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  • Pekan-1
  • Pekan-2
  • Pekan-3

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  1. Course

MK Matematika Teknik

  • Kode: TKE191113

  • SKS: 3

  • Jadwal:

    • TKE191113 Matematika Teknik A KAMIS 07:00 - 09:30 GEDUNG TEKNIK C 101 - 65 mhs

    • TKE191113 Matematika Teknik B KAMIS 09:30 - 12:00 GEDUNG TEKNIK C 101 - 44 mhs

Capaian Pembelajaran Lulusan (CPL) Program Studi

  • Pengetahuan-PU01 : menguasai pengetahuan matematika lanjut meliputi kalkulus integral­diferensial, persamaan diferensial, aljabar linier, variable kompleks, probabilitas dan statistik, dan matematika diskret serta penerapan mereka di bidang teknik elektro;

Capaian Pembelajaran Mata Kuliah

  • Menguasai metode penyelesaian persamaan linear secara analitis dan numeris

  • Menguasai operasi terhadap matriks dan penerapannya

  • Menguasai konsep eigenvalue dan eigenvektor dan penerapannya

  • Menguasai konsep vektor dan ruang vektor serta penerapannya

  • Menguasai konsep transformasi linear dan penerapannya

Bahan Kajian

  • Sistem Persamaan Linear

  • Matriks dan Operasi Matriks

  • Eigenvalue dan Eigenvektor

  • Dekomposisi LU

  • Diagonalisasi dan Bentuk Kuadrat (tambahan)

  • Ruang Vektor Euklid

  • Ruang Vektor Umum

  • Transformasi Linear

  • Aplikasi Aljabar Linear di bidang Teknik Elektro

Referensi

Referensi Berbayar

Referensi Bebas Terbuka

Kuliah Online

Youtube

Software

PC

Android

Kuliah

Pekan-1

  • Topik:

    • Pendahuluan

    • Sistem Persamaan Linear

  • Buku Pendukung:

Pekan-2

  • Topik:

    • Matriks : Operasi

Pekan-3

  • Topik:

    • Matriks : Invers dan Dekomposisi LU

  • Catatan :

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Last updated 2 years ago

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or its public beta version of

.

and

–open source software, fast, simple

–open source software

- online GNU Octave

–proprietary

Mengapa ada dekomposisi LU? Karena dekomposisi LU lebih cepat dipakai untuk menyelesaikan linear persamaan dengan beragam vektor b, dibandingkan eliminasi Gauss yang harus mengulang langkah untuk setiap vektor b (, ).

Elementary Linear Algebra: Application Version by Howard Anton
Linear Algebra and Its Applications by David C. Lay
Interactive Linear Algebras by Dan Margalit
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Discover Linear Algebra by Jeremy Sylvestre
Linear Algebra by Jim Hefferon
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Linear Algebra, Theory And Applications by Kenneth Kuttler
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A First Course in Linear Algebra by Robert A. Beezer
A First Course in Linear Algebra
PDF File
MATH 1220 Linear Algebra 1 by Michael Doob
A First Course in LInear Algebra by Robert A. Beezer
Systems of equations by David Austin
edX - Linear Algebra - Foundations to Frontiers
MIT OCW - Linear Algebra by Gilbert Strang
Youtube
Algebra 1 - Khan Academy
Algebra 2 - Khan Academy
3Blue1Brown Youtube
MathTheBeautiful Youtube
Grant Sanderson Youtube
SpeedCrunch
GNU Octave
Online Octave
Matlab
Anaconda for Python Data Science Programming
Madona
Anoc Octave Editor
LAM - Chapter 2 Systems of Linear Equations
ULA - Chapter 1 Systems of equations
ILA - Chapter 1 Systems of Linear Equations: Algebra
DLA - Chapter 1 Systems of linear equations
DLA - Chapter 2 Solving systems using matrices
DLA - Chapter 3 Using systems of equations
FCLA - Chapter 1
Ref-1
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