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	<title>Master Level Math Course Subject Suggestions - Revision history</title>
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	<updated>2026-04-04T11:39:47Z</updated>
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		<id>https://mw.hh.se/caisr/index.php?title=Master_Level_Math_Course_Subject_Suggestions&amp;diff=273&amp;oldid=prev</id>
		<title>10.0.2.2: Created page with &quot;Contents that we need in the Math course (just a list for now, we can talk about priorities afterwards):  == Course Abbreviations ==  Use upper case letters for strong depende...&quot;</title>
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		<updated>2014-03-07T11:46:56Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;Contents that we need in the Math course (just a list for now, we can talk about priorities afterwards):  == Course Abbreviations ==  Use upper case letters for strong depende...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Contents that we need in the Math course (just a list for now, we can talk about priorities afterwards):&lt;br /&gt;
&lt;br /&gt;
== Course Abbreviations ==&lt;br /&gt;
&lt;br /&gt;
Use upper case letters for strong dependency, lower case letters for optional / nice-to-have.&lt;br /&gt;
&lt;br /&gt;
* IA = image analysis&lt;br /&gt;
* CV = computer vision 3D&lt;br /&gt;
* RM = Robotic Manipulation&lt;br /&gt;
* AA (to be added by Rolo) = Algorithms (the advanced course, not the introductory one)&lt;br /&gt;
&lt;br /&gt;
== Math Topics ==&lt;br /&gt;
&lt;br /&gt;
Semi-structured list, should evolve based on feedback...&lt;br /&gt;
&lt;br /&gt;
* Some applications of linear algebra [IA, CV, RM]&lt;br /&gt;
** least squares [IA, CV]&lt;br /&gt;
** basic matrix decompositions [IA, CV, RM]&lt;br /&gt;
** singular value decomposition [rm]&lt;br /&gt;
* Multivariate Calculus [IA, CV, RM]&lt;br /&gt;
* systems of ODEs and difference equations&lt;br /&gt;
* basic (analytical) geometry [IA, CV, RM]&lt;br /&gt;
** parameterised curves on &amp;lt;math&amp;gt;\mathcal{R}^N&amp;lt;/math&amp;gt; [IA, CV, RM]&lt;br /&gt;
** tangent, curvature, line integrals, reparameterization [IA, CV, RM]&lt;br /&gt;
** 3D Coordinate Frames (spatial affine transforms) [CV, RM]&lt;br /&gt;
* optimization&lt;br /&gt;
** Lagrangian [rm]&lt;br /&gt;
** numerical methods, convergence, stability, error&lt;br /&gt;
*** root finding (Newton-Raphson)&lt;br /&gt;
*** interpolation and approximation (B-splines, least squares) [cv]&lt;br /&gt;
*** maybe numerical differentiation and integration [IA, CV, rm]&lt;br /&gt;
* overview of probability theory and statistics [IA, CV]&lt;br /&gt;
** distributions: uniform, normal, ...  [IA, CV]&lt;br /&gt;
** moments and descriptors: mean, variance, median, quartiles, histogram features... [ia, cv]&lt;br /&gt;
** hypotheses, tests, design of experiments&lt;br /&gt;
** a glimpse of Bayesian inference&lt;br /&gt;
* signal analysis [IA, CV]&lt;br /&gt;
** Fourier [IA, CV]&lt;br /&gt;
** Laplace, Z-transform &lt;br /&gt;
** linear systems [IA, CV]&lt;br /&gt;
** signal models (redundancy / link wrt interpolation and approximation?) [IA, CV]&lt;br /&gt;
&lt;br /&gt;
Things to mention, without going into depth&lt;br /&gt;
&lt;br /&gt;
* Principal theorem proving techniques&lt;br /&gt;
** by complete induction&lt;br /&gt;
** by contradiction&lt;br /&gt;
&lt;br /&gt;
== Remarks ==&lt;br /&gt;
&lt;br /&gt;
Inspiration can be drawn from [http://ocw.mit.edu/courses/mathematics/18-085-computational-science-and-engineering-i-fall-2008/syllabus/ here] with complete recorded lectures [http://ocw.mit.edu/courses/mathematics/18-085-computational-science-and-engineering-i-fall-2008/video-lectures/  here].&lt;/div&gt;</summary>
		<author><name>10.0.2.2</name></author>
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