update module 1 and add tags

Author: fonsp

src/images_abstractions/abstraction.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.19.14
+# v0.19.25
 
 #> [frontmatter]
 #> chapter = 1
@@ -11,7 +11,7 @@
 #> layout = "layout.jlhtml"
 #> youtube_id = "3zTO3LEY-cM"
 #> description = ""
-#> tags = ["lecture", "module1"]
+#> tags = ["lecture", "module1", "track_julia", "track_math"]
 
 using Markdown
 using InteractiveUtils
@@ -274,7 +274,7 @@ version = "4.3.0"
 [[CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "0.5.2+0"
+version = "1.0.1+0"
 
 [[DataStructures]]
 deps = ["Compat", "InteractiveUtils", "OrderedCollections"]
@@ -666,7 +666,7 @@ version = "1.0.0"
 [[Tar]]
 deps = ["ArgTools", "SHA"]
 uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
-version = "1.10.0"
+version = "1.10.1"
 
 [[TensorCore]]
 deps = ["LinearAlgebra"]

src/images_abstractions/dynamicprograms.jl

@@ -11,7 +11,7 @@
 #> layout = "layout.jlhtml"
 #> youtube_id = "KyBXJV1zFlo"
 #> description = ""
-#> tags = ["lecture", "module1"]
+#> tags = ["lecture", "module1", "optimization", "programming", "track_julia", "track_math", "interactive", "discrete", "lazy"]
 
 using Markdown
 using InteractiveUtils

src/images_abstractions/images.jl

@@ -11,7 +11,7 @@
 #> layout = "layout.jlhtml"
 #> youtube_id = "3zTO3LEY-cM"
 #> description = ""
-#> tags = ["lecture", "module1"]
+#> tags = ["lecture", "module1", "philip", "track_julia", "matrix", "image"]
 
 using Markdown
 using InteractiveUtils

src/images_abstractions/linear_transformation.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.19.14
+# v0.19.25
 
 using Markdown
 using InteractiveUtils
@@ -25,29 +25,9 @@ end
 # ╔═╡ 2e8c4a48-d535-44ac-a1f1-4cb26c4aece6
 
 
-# ╔═╡ c0c90fec-0e55-4be3-8ea2-88b8705ee258
-md"""
-### Choose an image:
-
-$(@bind img_source Select(img_sources))
-"""
-
 # ╔═╡ 60532aa0-740c-11eb-0402-af8ff117f042
 md"Show grid lines $(@bind show_grid CheckBox(default=true))"
 
-# ╔═╡ 8e0505be-359b-4459-9de3-f87ec7b60c23
-[
-	if det_A == 0
-		RGB(1.0, 1.0, 1.0)
-	else
-		in_x, in_y = invA*[out_x, out_y]
-		trygetpixel(img, in_x, in_y)
-	end
-	
-	for out_y in LinRange(2, -2, 300),
-		out_x in LinRange(-2, 2, 300)
-]
-
 # ╔═╡ 35904b8e-7a28-4dbc-bbf9-b45da448452c
 let
 
@@ -95,19 +75,19 @@ img_sources = [
 	"https://images.squarespace-cdn.com/content/v1/5cb62a904d546e33119fa495/1589302981165-HHQ2A4JI07C43294HVPD/ke17ZwdGBToddI8pDm48kA7bHnZXCqgRu4g0_U7hbNpZw-zPPgdn4jUwVcJE1ZvWQUxwkmyExglNqGp0IvTJZamWLI2zvYWH8K3-s_4yszcp2ryTI0HqTOaaUohrI8PISCdr-3EAHMyS8K84wLA7X0UZoBreocI4zSJRMe1GOxcKMshLAGzx4R3EDFOm1kBS/fluffy+corgi?format=2500w" => "Alan"
 ]
 
+# ╔═╡ c0c90fec-0e55-4be3-8ea2-88b8705ee258
+md"""
+### Choose an image:
+
+$(@bind img_source Select(img_sources))
+"""
+
 # ╔═╡ 4fcb4ac1-1ad1-406e-8776-4675c0fdbb43
 img_original = load(download(img_source));
 
 # ╔═╡ 52a8009e-761c-11eb-2dc9-dbccdc5e7886
 typeof(img_original)
 
-# ╔═╡ 55898e88-36a0-4f49-897f-e0850bd2b0df
-img = if show_grid
-	with_gridlines(img_original)
-else
-	img_original
-end;
-
 # ╔═╡ 7d0096ad-d89a-4ade-9679-6ee95f7d2044
 function trygetpixel(img::AbstractMatrix, x::Float64, y::Float64)
 	rows, cols = size(img)
@@ -146,6 +126,26 @@ function with_gridlines(img::Array{<:Any,2}; n=8)
 	return result
 end
 
+# ╔═╡ 55898e88-36a0-4f49-897f-e0850bd2b0df
+img = if show_grid
+	with_gridlines(img_original)
+else
+	img_original
+end;
+
+# ╔═╡ 8e0505be-359b-4459-9de3-f87ec7b60c23
+[
+	if det_A == 0
+		RGB(1.0, 1.0, 1.0)
+	else
+		in_x, in_y = invA*[out_x, out_y]
+		trygetpixel(img, in_x, in_y)
+	end
+	
+	for out_y in LinRange(2, -2, 300),
+		out_x in LinRange(-2, 2, 300)
+]
+
 # ╔═╡ 00000000-0000-0000-0000-000000000001
 PLUTO_PROJECT_TOML_CONTENTS = """
 [deps]
@@ -244,7 +244,7 @@ version = "4.3.0"
 [[CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "0.5.2+0"
+version = "1.0.1+0"
 
 [[DataStructures]]
 deps = ["Compat", "InteractiveUtils", "OrderedCollections"]
@@ -636,7 +636,7 @@ version = "1.0.0"
 [[Tar]]
 deps = ["ArgTools", "SHA"]
 uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
-version = "1.10.0"
+version = "1.10.1"
 
 [[TensorCore]]
 deps = ["LinearAlgebra"]

src/images_abstractions/newton_method.jl

@@ -10,8 +10,8 @@
 #> title = "The Newton Method"
 #> layout = "layout.jlhtml"
 #> youtube_id = "Wjcx9sNSLP8"
-#> description = ""
-#> tags = ["lecture", "module1"]
+#> description = "This lecture explains a method for finding the root of a function, but using code an illustrations instead of a chalkboard! We will illustrate the Newton method using the ForwardDiff.jl package to carry out automatic differentiation, but we will also try to understand what's going on \"under the hood\"."
+#> tags = ["lecture", "module1", "track_math", "continuous", "differentiation", "automatic differentiation", "ForwardDiff", "interactive", "Symbolics", "transformation"]
 
 using Markdown
 using InteractiveUtils

src/images_abstractions/seamcarving.jl

@@ -11,7 +11,7 @@
 #> layout = "layout.jlhtml"
 #> youtube_id = "KyBXJV1zFlo"
 #> description = ""
-#> tags = ["lecture", "module1"]
+#> tags = ["lecture", "module1", "image", "matrix", "track_julia", "track_climate", "track_data", "optimization", "interactive"]
 
 using Markdown
 using InteractiveUtils
@@ -1874,14 +1874,14 @@ version = "1.4.1+0"
 # ╟─5d6c1d74-8109-11eb-3529-bf2f23554b02
 # ╟─48593d7c-8109-11eb-1b8b-6f15155d6ec9
 # ╟─7038abe4-ef36-11ea-11a5-75e57ab51032
-# ╠═8f523ba8-f52c-4269-90ca-1aa87948bdb9
+# ╟─8f523ba8-f52c-4269-90ca-1aa87948bdb9
 # ╟─abcafa92-f426-4653-a65e-149b41dd91bf
 # ╟─1e0322f9-8737-401b-8b10-74f58d8e97ab
 # ╟─fda2f181-e582-4d61-822c-7ee75e214aaa
 # ╠═268c85cf-28c7-46ea-b343-b1214f75de33
 # ╟─1fd26a60-f089-11ea-1f56-bb6eba7d9651
 # ╟─dbacb273-02dc-4ff0-ac1a-3cc6785d3dac
-# ╠═71b16dbe-f08b-11ea-2343-5f1583074029
+# ╟─71b16dbe-f08b-11ea-2343-5f1583074029
 # ╟─15d1e5dc-ef2f-11ea-093a-417108bcd495
 # ╟─00000000-0000-0000-0000-000000000001
 # ╟─00000000-0000-0000-0000-000000000002

src/images_abstractions/structure.jl

@@ -11,7 +11,7 @@
 #> layout = "layout.jlhtml"
 #> youtube_id = "wZrVxbmX218"
 #> description = ""
-#> tags = ["lecture", "module1"]
+#> tags = ["lecture", "module1", "track_julia", "type", "programming", "matrix", "track_data", "structure"]
 
 using Markdown
 using InteractiveUtils

src/images_abstractions/transformations2.jl

@@ -10,8 +10,8 @@
 #> title = "Transformations II: Composability, Linearity and Nonlinearity"
 #> layout = "layout.jlhtml"
 #> youtube_id = "VDPf3RjoCpY"
-#> description = ""
-#> tags = ["lecture", "module1"]
+#> description = "Let's see what mathematical transformations, inverses, composition and (non-)linearity look like in practice. (i.e. applied to philip.jpg)"
+#> tags = ["lecture", "module1", "transformation", "track_math", "track_julia", "inverse", "composition", "matrix", "linear algebra", "nonlinear", "linear"]
 
 using Markdown
 using InteractiveUtils

src/images_abstractions/transformations_and_autodiff.jl

@@ -10,8 +10,8 @@
 #> title = "Automatic Differentiation"
 #> layout = "layout.jlhtml"
 #> youtube_id = "AAREeuaKCic"
-#> description = ""
-#> tags = ["lecture", "module1"]
+#> description = "We use the package ForwardDiff.jl to automatically differentiate functions, on scalar and vector domains."
+#> tags = ["lecture", "module1", "track_julia", "track_math", "programming", "function", "transformation", "automatic differentiation", "continuous", "derivative"]
 
 using Markdown
 using InteractiveUtils
@@ -55,12 +55,12 @@ In general if we perform both of these operations, we get a linear combination.
 
 # ╔═╡ 2cca0638-7635-11eb-3b60-db3fabe6f536
 md"""
-# 4.1 Functions in Math and Julia
+# Functions in Math and Julia
 """
 
 # ╔═╡ c8a3b5b4-76ac-11eb-14f0-abb7a33b104d
 md"""
-### 4.1.1 Univariate Functions
+### Univariate Functions
 """
 
 # ╔═╡ db56bcda-76aa-11eb-2447-5d9076789244
@@ -101,14 +101,25 @@ f₃(5,2)
 
 # ╔═╡ b3faf4d8-76ac-11eb-0be9-7dda3d37aba0
 md"""
-Keywords
+### Keyword arguments
+
+After the regular (positional) arguments, a function definition can also accept keyword arguments. In the definition, these come after a semicolon `;`
 """
 
 # ╔═╡ 71c074f0-76ac-11eb-2164-c36381212bff
-f₄(x;α) = x^α
+f₄(x; α, β) = (x - β)^α
+
+# ╔═╡ f263f6e6-b6c5-4c82-9a21-d6cdf34f725e
+md"""
+When calling a function with keyword arguments, you use the key:
+"""
 
 # ╔═╡ 87b99c8a-76ac-11eb-1c94-8f1ffe3be593
-f₄(2, α=5)
+f₄(3, α=5, β=1)
+
+# ╔═╡ 142eb253-6294-4426-bde2-7a9e2d6f2df4
+# the order of keyword arguments does not matter:
+f₄(3, β=1, α=5)
 
 # ╔═╡ 504076fc-76ac-11eb-30c3-bfa75c991cb2
 md"""
@@ -117,7 +128,7 @@ See [Julia's function documentation](https://docs.julialang.org/en/v1/manual/fun
 
 # ╔═╡ f1dd24d8-76ac-11eb-1de7-a763a1b95668
 md"""
-### 4.1.2 Automatic Differentiation of Univariates
+### Automatic Differentiation of Univariates
 """
 
 # ╔═╡ fe01da74-76ac-11eb-12e3-8320340b6139
@@ -156,7 +167,7 @@ end
 
 # ╔═╡ f7df6cda-76b1-11eb-11e4-8d0af0349651
 md"""
-### 4.1.3 Scalar Valued Multivariate Functions
+### Scalar Valued Multivariate Functions
 """
 
 # ╔═╡ 63449b54-76b4-11eb-202f-3bda2f4cff4d
@@ -211,7 +222,7 @@ methods(f₅)
 
 # ╔═╡ 6d411cea-76b9-11eb-061b-87d472bc3bdd
 md"""
-### 4.1.4 Automatic Differentiation: Scalar valued multivariate functions
+### Automatic Differentiation: Scalar valued multivariate functions
 """
 
 # ╔═╡ bc2c6afc-76b7-11eb-0631-51f83cd73205
@@ -253,7 +264,7 @@ md"""
 
 # ╔═╡ a0afe3ae-76b9-11eb-2301-cde7260ddd7f
 md"""
-### 4.1.5. Transformations: Vector Valued Multivariate Functions
+### Transformations: Vector Valued Multivariate Functions
 """
 
 # ╔═╡ ac1ab224-76bb-11eb-13cb-0bd44bea1042
@@ -335,7 +346,7 @@ warp₂(1.0)([5.0,6.0])
 
 # ╔═╡ 09ed6d38-76be-11eb-255b-3fbf76c21097
 md"""
-### 4.1.6 Automatic Differentiation of Transformations
+### Automatic Differentiation of Transformations
 """
 
 # ╔═╡ 9786e2be-76be-11eb-3755-b5669c37aa64
@@ -355,7 +366,7 @@ end
 
 # ╔═╡ ad728ee6-7639-11eb-0b23-c37f1366fb4e
 md"""
-## 4.2 But what is a transformation, really? 
+## But what is a transformation, really? 
 You have very likely learned how to multiply matrices times vectors.  I'll bet you think of a matrix as a table of numbers, and a vector as a column of numbers, and if you are well practiced, you know just when to multiply and just when to add.
 Congratulations, you now can do what computers excel at.
 
@@ -446,12 +457,14 @@ md"""
 Computer Science
 Solving 2 equations in 2 unknowns, and higher dimensional analogs.
 
-THe top 500 supercomputers, and how many equations in how many unknowns are being solved today.
+The top 500 supercomputers, and how many equations in how many unknowns are being solved today.
 """
 
 # ╔═╡ a66eb6fe-76b3-11eb-1d50-659ec2bf7c44
 md"""
-### 4.4 Automatic Differentiation in 10 mins(ok 11)
+### Automatic Differentiation in 10 minutes
+
+*(okay, 11)*
 """
 
 # ╔═╡ b9dba026-76b3-11eb-1bfb-ffe9c43ced5d
@@ -1190,7 +1203,9 @@ version = "17.4.0+0"
 # ╠═f4fa8c1a-76ab-11eb-302d-bd410432e3cf
 # ╟─b3faf4d8-76ac-11eb-0be9-7dda3d37aba0
 # ╠═71c074f0-76ac-11eb-2164-c36381212bff
+# ╟─f263f6e6-b6c5-4c82-9a21-d6cdf34f725e
 # ╠═87b99c8a-76ac-11eb-1c94-8f1ffe3be593
+# ╠═142eb253-6294-4426-bde2-7a9e2d6f2df4
 # ╟─504076fc-76ac-11eb-30c3-bfa75c991cb2
 # ╟─f1dd24d8-76ac-11eb-1de7-a763a1b95668
 # ╟─fe01da74-76ac-11eb-12e3-8320340b6139

src/images_abstractions/transforming_images.jl

@@ -11,7 +11,7 @@
 #> layout = "layout.jlhtml"
 #> youtube_id = "uZYVjDDZW9A"
 #> description = ""
-#> tags = ["lecture", "module1"]
+#> tags = ["lecture", "module1", "image", "convolution", "track_math", "matrix", "philip"]
 
 using Markdown
 using InteractiveUtils
@@ -46,11 +46,6 @@ md"""
 _When running this notebook for the first time, this could take up to 15 minutes. Hang in there!_
 """
 
-# ╔═╡ 4d332c7e-74f8-11eb-1f49-a518246d1db8
-md"""
-# Announcement: Lectures will be nearly an hour
-"""
-
 # ╔═╡ f7689472-74a8-11eb-32a1-8379ae5c88e1
 rotabook = PlutoUI.Resource("https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1348902666l/1646354.jpg")
 
@@ -1731,7 +1726,6 @@ version = "1.4.1+0"
 # ╟─8d389d80-74a1-11eb-3452-f38eff03483b
 # ╟─9f1a72da-7532-11eb-079c-b7baccc6614a
 # ╠═86f770fe-74a1-11eb-01f7-5b3ecf057124
-# ╟─4d332c7e-74f8-11eb-1f49-a518246d1db8
 # ╟─f7689472-74a8-11eb-32a1-8379ae5c88e1
 # ╟─0f2f9004-74a8-11eb-01a2-973dbe80f166
 # ╠═962143a8-74a7-11eb-26c3-c10548f326ee
@@ -1789,7 +1783,7 @@ version = "1.4.1+0"
 # ╠═d22903d6-7529-11eb-2dcd-132cd27104c2
 # ╟─844ed844-74b3-11eb-2ee1-2de664b26bc6
 # ╟─4ffe927c-74b4-11eb-23a7-a18d7e51c75b
-# ╠═91109e5c-74b3-11eb-1f31-c50e436bc6e0
+# ╟─91109e5c-74b3-11eb-1f31-c50e436bc6e0
 # ╠═34109062-7525-11eb-10b3-d59d3a6dfda6
 # ╟─9ab89a3a-7525-11eb-186d-29e4b61deb7f
 # ╠═50034058-7525-11eb-345b-3334e71ac50e