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Introductory Course in Analysis & Linear Algebra for Cognitive Science Masters Students (Weiterer Mitwirkender: Taher Habib)

8.3374

Dozenten

Beschreibung

Topics in Analysis:
1. Intro. to Functions - Trigonometric, Polynomial, Exponential,
Logarithmic, etc.
2. Concepts of Limits and Continuity
3. Intro. to Derivatives (first order, one dimensional)
4. Higher Order Derivatives & Geometry of Curves
5. Intro. to Integrals - methods used in their calculation
6. Intro. to Differential Equations - basic methods to solve
7. Applications to Machine Learning and Neurodynamics

Main Reference Book: George Thomas Jr., Maurice D. Weir, Joe/
R. Hass, Thomas' Calculus, 13th edition

Topics in Linear Algebra:
1. Intro. to Set Theory
2. Intro. to Matrix Algebra & Solving Linear Systems
3. Determinants - properties and applications
4. Intro. to Vectors and 3-D Cartesian Geometry
5. Intro. to Vector Spaces, Eigenvalues and Eigenvectors.
6. Applications to Machine Learning, Neuroinformatics, etc.

Main Reference Book: Bernard Kollman, David Hill, lntroductory
Linear Algebra, 8 or 9th edition

Weitere Angaben

Ort: 93/E31: Mi. 12:00 - 14:00 (12x) Mi. 14:00 - 16:00 (11x), 35/E16: Mi. 12:00 - 14:00 (1x) Mi. 14:00 - 16:00 (2x)
Zeiten: Mi. 12:00 - 14:00 (wöchentlich), Ort: 93/E31, 35/E16, Mi. 14:00 - 16:00 (wöchentlich), Ort: 93/E31, 35/E16
Erster Termin: Mi , 24.10.2018 12:00 - 14:00, Ort: 35/E16
Veranstaltungsart: Tutorium (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Master-Programm