Search for tag: "squares"

dapr2(20-21)15.1

Lect29a

From  Leonidas Doumas on February 7th, 2021 0 likes 184 plays 0  

10.c

Third video of the Inf2d lecture on First-Order Logic.

From  Claudia-Elena Chirita on February 1st, 2021 0 likes 162 plays 0  

8.c

The third video of the Inf2D Reasoning and Agents lecture on Effective Propositional Inference.

From  Claudia-Elena Chirita on January 25th, 2021 0 likes 159 plays 0  

7.a

First video of the Inf2D Reasoning and Agents lecture on Logical Agents.

From  Claudia-Elena Chirita on January 25th, 2021 0 likes 226 plays 0  

4.c

The third video of the Inf2D lecture on Informed Search Algorithms.

From  Claudia-Elena Chirita on January 18th, 2021 0 likes 188 plays 0  

TED2 Week 1 Activities

Description of Pictionary and the MacGyver Challenge activities for week 1 in Tools for Engineering Design

From  David Rush on December 14th, 2020 0 likes 138 plays 0  

CL - 9b - Sudoku III

Sudoku is just a game, but it a good, accessible example of a type of problem that of great practical significance. Here we discuss the Sudoku problem within this wider context.

From  Haoran Peng on November 4th, 2020 0 likes 245 plays 0  

USMR lecture 7 part 3

multiple regression

From  Martin Corley on November 1st, 2020 0 likes 177 plays 0  

CL - 8c - Sudoku

First we see how to express the rules of Sudoku in Haskell. Given a total function s :: Int -> Int -> Int -> Bool that represents the way a sudoku puzzle is filled in by saying that s i j k…

From  Haoran Peng on November 1st, 2020 0 likes 330 plays 0  

Kenneth_Falconer-ESM

EMS meeting date ... Talk delivered by Professor Kenneth Falconer

From  Hossein Amini Kafiabad on October 30th, 2020 0 likes 12 plays 0  

Topic 50: Linear Least Squares Estimation (PETARS, Chapter 6)

The special case of linear least squares is presented as an extremely useful estimation approach, in cases when the signal model can be written as a linear combination of known basis functions, with…

From  James Hopgood on October 30th, 2020 0 likes 62 plays 0  

Topic 49: Least Squares Estimation (PETARS, Chapter 6)

The least squares approach is presented as a non-probabilistic method for designing an estimator of a set of parameters, assuming a model is provided for describing the data. This is presented as…

From  James Hopgood on October 28th, 2020 0 likes 63 plays 0  

USMR lecture 6 part 2

The linear model: coefficients, R^2, F

From  Martin Corley on October 22nd, 2020 0 likes 176 plays 0  

FP - Lecture 3 - Lists and Recursion

This is the video of the third FP lecture, covering Lists and Recursion.

From  Claudia-Elena Chirita on September 19th, 2020 0 likes 808 plays 0  

FP - Lecture 2 - List Comprehensions

This is the second FP Lecture video, covering Lists and Comprehensions.

From  Claudia-Elena Chirita on September 11th, 2020 0 likes 1,098 plays 0