MSc: High-Dimensional Data Analysis - Revision history

M.petrishchev: /* Prerequisites */

2022-04-21T07:42:17Z

Prerequisites

← Older revision		Revision as of 07:42, 21 April 2022
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	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.		* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.
−	* [https://eduwiki.innopolis.university/index.php/BSc:_Probability_And_Statistics CSE206] — Probability And Statistics: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Probability_And_Statistics CSE206 — Probability And Statistics]: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.
	* CSE132 — Software Design with Python		* CSE132 — Software Design with Python
	* Numerical Analysis: DFT, [stochastic] gradient.		* Numerical Analysis: DFT, [stochastic] gradient.

M.petrishchev: /* Prerequisites */

2022-04-21T07:28:16Z

Prerequisites

← Older revision		Revision as of 07:28, 21 April 2022
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	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205 - Differential Equations]		* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205 - Differential Equations]
	* Numerical Methods		* Numerical Methods
−	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics ~~CSE 331]~~ - Advanced Statistics]	+	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics CSE331 - Advanced Statistics]

	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.

M.petrishchev: /* Prerequisites */

2022-04-21T07:28:01Z

Prerequisites

← Older revision		Revision as of 07:28, 21 April 2022
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	== Prerequisites ==		== Prerequisites ==

−	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] - Mathematical Analysis I	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201 - Mathematical Analysis I]
−	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_II CSE203] - Mathematical Analysis II	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_II CSE203 - Mathematical Analysis II]
−	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] - Differential Equations	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205 - Differential Equations]
	* Numerical Methods		* Numerical Methods
−	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics CSE 331] - Advanced Statistics	+	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics CSE 331] - Advanced Statistics]

	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.

M.petrishchev: /* Prerequisites */

2022-04-21T06:37:24Z

Prerequisites

← Older revision		Revision as of 06:37, 21 April 2022
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	== Prerequisites ==		== Prerequisites ==

−	* CSE201 - Mathematical Analysis I	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] - Mathematical Analysis I
−	* CSE203 - Mathematical Analysis II	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_II CSE203] - Mathematical Analysis II
−	* CSE205 - Differential Equations	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] - Differential Equations
	* Numerical Methods		* Numerical Methods
−	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics CSE 331 - Advanced Statistics]	+	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics CSE 331] - Advanced Statistics

	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.
	Mathematics:		Mathematics:

−	* CSE202 — Analytical Geometry and Linear Algebra I and Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.
−	* CSE206 — Probability And Statistics: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Probability_And_Statistics CSE206] — Probability And Statistics: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.
	* CSE132 — Software Design with Python		* CSE132 — Software Design with Python
	* Numerical Analysis: DFT, [stochastic] gradient.		* Numerical Analysis: DFT, [stochastic] gradient.

R.akhmetzyanov: /* Prerequisites */

2022-04-18T07:44:54Z

Prerequisites

← Older revision		Revision as of 07:44, 18 April 2022
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	* CSE202 — Analytical Geometry and Linear Algebra I and Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.		* CSE202 — Analytical Geometry and Linear Algebra I and Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.
	* CSE206 — Probability And Statistics: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.		* CSE206 — Probability And Statistics: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.
		+	* CSE132 — Software Design with Python
−
	* Numerical Analysis: DFT, [stochastic] gradient.		* Numerical Analysis: DFT, [stochastic] gradient.
−	* Programming: python and numpy library.

	== Recommendations for students on how to succeed in the course==		== Recommendations for students on how to succeed in the course==

R.akhmetzyanov: /* Prerequisites */

2022-04-18T07:42:26Z

Prerequisites

← Older revision		Revision as of 07:42, 18 April 2022
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	== Prerequisites ==		== Prerequisites ==

−	* ~~[https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI~~ CSE201 - Mathematical Analysis I]	+	* CSE201 - Mathematical Analysis I
−	* ~~[https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII~~ CSE203 - Mathematical Analysis II]	+	* CSE203 - Mathematical Analysis II
−	* ~~Differential Equations [https://eduwiki.innopolis.university/index.php/BSc:DifferentialEquations~~ CSE205 - Differential Equations]	+	* CSE205 - Differential Equations
	* Numerical Methods		* Numerical Methods
		+	* [https://eduwiki.innopolis.university/index.php/MSc:_Advanced_Statistics CSE 331 - Advanced Statistics]
−	* Statistics

	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.
	Mathematics:		Mathematics:

−	* Linear Algebra: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.	+	* CSE202 — Analytical Geometry and Linear Algebra I and Analytical Geometry and Linear Algebra II: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.
		⚫	* CSE206 — Probability And Statistics: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.
−	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE204 - Analytic Geometry And Linear Algebra I]
−	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII CSE204 - Analytic Geometry And Linear Algebra II]
⚫	* ~~[https://eduwiki.innopolis.university/index.php/BSc:ProbabilityAndStatistics~~ CSE206 — Probability And Statistics]: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.

	* Numerical Analysis: DFT, [stochastic] gradient.		* Numerical Analysis: DFT, [stochastic] gradient.
	* Programming: python and numpy library.		* Programming: python and numpy library.

		+	== Recommendations for students on how to succeed in the course==
	References:		References:
	* [https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010/ Linear Algebra]		* [https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010/ Linear Algebra]

M.petrishchev: M.petrishchev moved page MSc:High-Dimensional Data Analysis to MSc: High-Dimensional Data Analysis

2022-04-15T08:06:51Z

M.petrishchev moved page MSc:High-Dimensional Data Analysis to MSc: High-Dimensional Data Analysis

← Older revision	Revision as of 08:06, 15 April 2022
(No difference)

M.petrishchev: /* Prerequisites */

2022-04-14T18:52:22Z

Prerequisites

← Older revision		Revision as of 18:52, 14 April 2022
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	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 - Mathematical Analysis II]		* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 - Mathematical Analysis II]
	* Differential Equations [https://eduwiki.innopolis.university/index.php/BSc:DifferentialEquations CSE205 - Differential Equations]		* Differential Equations [https://eduwiki.innopolis.university/index.php/BSc:DifferentialEquations CSE205 - Differential Equations]
−	* Numerical Methods []	+	* Numerical Methods
−	* Statistics []	+	* Statistics

	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.

M.petrishchev: /* Prerequisites */

2022-04-14T18:51:59Z

Prerequisites

← Older revision		Revision as of 18:51, 14 April 2022
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	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 - Mathematical Analysis I]		* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 - Mathematical Analysis I]
	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 - Mathematical Analysis II]		* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 - Mathematical Analysis II]
−	* Linear Algebra
−	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE204 - Analytic Geometry And Linear Algebra I]
−	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII CSE204 - Analytic Geometry And Linear Algebra II]
	* Differential Equations [https://eduwiki.innopolis.university/index.php/BSc:DifferentialEquations CSE205 - Differential Equations]		* Differential Equations [https://eduwiki.innopolis.university/index.php/BSc:DifferentialEquations CSE205 - Differential Equations]
	* Numerical Methods []		* Numerical Methods []
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	* Linear Algebra: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.		* Linear Algebra: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.
−	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI ~~CSE202~~ ~~—~~ ~~Analytical~~ Geometry ~~and~~ Linear Algebra I]	+	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE204 - Analytic Geometry And Linear Algebra I]
−	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII CSE204 ~~—~~ ~~Analytical~~ Geometry ~~and~~ Linear Algebra II]	+	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII CSE204 - Analytic Geometry And Linear Algebra II]
	* [https://eduwiki.innopolis.university/index.php/BSc:ProbabilityAndStatistics CSE206 — Probability And Statistics]: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.		* [https://eduwiki.innopolis.university/index.php/BSc:ProbabilityAndStatistics CSE206 — Probability And Statistics]: probability, likelihood, probability density function, conditional probability, Bayesian rule, covariance matrix and properties.

M.petrishchev: /* Prerequisites */

2022-04-14T18:49:13Z

Prerequisites

← Older revision		Revision as of 18:49, 14 April 2022
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	== Prerequisites ==		== Prerequisites ==

−	* ~~Calculus I~~ [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 - Mathematical Analysis I]	+	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 - Mathematical Analysis I]
−	* ~~Calculus II~~ [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 - Mathematical Analysis II]	+	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 - Mathematical Analysis II]
	* Linear Algebra		* Linear Algebra
	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE204 - Analytic Geometry And Linear Algebra I]		** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE204 - Analytic Geometry And Linear Algebra I]
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	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.
	Mathematics:		Mathematics:
		+
	* Linear Algebra: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.		* Linear Algebra: matrix multiplication, matrix decomposition (SVD, ALS) and approximation (matrix norm), sparse matrix, stability of solution (decomposition), vector spaces, metric spaces, manifold, eigenvector and eigenvalue.
	** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE202 — Analytical Geometry and Linear Algebra I]		** [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE202 — Analytical Geometry and Linear Algebra I]