Compare commits

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72 Commits

Author SHA1 Message Date
485e2b0187 2025-05-01 00:14:54 2025-05-01 00:14:54 -03:00
14383747d0 2025-04-09 14:09:25 2025-04-09 14:09:25 -03:00
1850ff554a 2025-04-09 13:22:21 2025-04-09 13:22:21 -03:00
b321ce79f8 2025-03-26 18:52:00 2025-03-26 18:52:00 -03:00
1b84c3fe88 2025-02-05 18:46:58 2025-02-05 18:46:58 -04:00
8d056833da 2025-02-05 18:07:19 2025-02-05 18:07:19 -04:00
bca338e55f 2025-02-05 17:48:47 2025-02-05 17:48:47 -04:00
9f55f9c334 2025-02-04 11:13:47 2025-02-04 11:13:47 -04:00
a64e549c1f 2025-01-30 13:13:02 2025-01-30 13:13:02 -04:00
2490b5a065 2025-01-29 18:36:04 2025-01-29 18:36:04 -04:00
23576a2265 2025-01-29 18:05:21 2025-01-29 18:05:21 -04:00
11c7e304ed 2025-01-28 13:10:52 2025-01-28 13:10:52 -04:00
bd5ed6f2a3 2025-01-23 14:19:31 2025-01-23 14:19:31 -04:00
f9f7000168 2025-01-23 13:29:54 2025-01-23 13:29:54 -04:00
759b25a40a 2025-01-22 18:48:41 2025-01-22 18:48:41 -04:00
86a85e3c5a 2025-01-22 18:36:13 2025-01-22 18:36:13 -04:00
cdae485aef 2025-01-22 17:43:09 2025-01-22 17:43:09 -04:00
2e28778412 2025-01-22 13:41:46 2025-01-22 13:41:46 -04:00
2eb98aa15b 2025-01-22 10:20:35 2025-01-22 10:20:35 -04:00
ae285129c8 2025-01-22 10:10:40 2025-01-22 10:10:40 -04:00
7ba74544b4 2025-01-22 09:49:03 2025-01-22 09:49:03 -04:00
1c6597c3f9 2025-01-21 09:06:08 2025-01-21 09:06:08 -04:00
de2d10441a 2025-01-21 08:45:19 2025-01-21 08:45:20 -04:00
3c90f58039 2025-01-16 13:17:32 2025-01-16 13:17:32 -04:00
6fe529f2be 2025-01-16 08:51:08 2025-01-16 08:51:08 -04:00
a0357132b3 2025-01-15 19:34:30 2025-01-15 19:34:30 -04:00
857aa10e63 2025-01-15 18:49:46 2025-01-15 18:49:47 -04:00
c00557700f 2025-01-15 13:59:38 2025-01-15 13:59:38 -04:00
c5a1ddb862 2025-01-15 13:41:37 2025-01-15 13:41:37 -04:00
239b0c84d7 2025-01-15 12:45:37 2025-01-15 12:45:37 -04:00
6b9ef1a5b6 2025-01-14 13:21:18 2025-01-14 13:21:18 -04:00
71a58ee205 2025-01-14 09:54:04 2025-01-14 09:54:04 -04:00
887f487935 2025-01-14 09:25:30 2025-01-14 09:25:30 -04:00
a53f96755f 2025-01-14 09:04:52 2025-01-14 09:04:53 -04:00
9ed144d7f1 2025-01-14 08:38:50 2025-01-14 08:38:50 -04:00
6d518246ff 2025-01-10 14:17:23 2025-01-10 14:17:23 -04:00
09ba19831a 2025-01-10 13:35:00 2025-01-10 13:35:00 -04:00
1d2853cc13 2025-01-10 13:15:28 2025-01-10 13:15:28 -04:00
8221b91925 2025-01-09 14:19:04 2025-01-09 14:19:04 -04:00
e15615c83f 2025-01-09 13:23:01 2025-01-09 13:23:01 -04:00
ddb073a5a3 2025-01-09 09:46:36 2025-01-09 09:46:36 -04:00
e9733709be 2025-01-08 17:46:29 2025-01-08 17:46:29 -04:00
e9731ca71e 2025-01-08 17:36:05 2025-01-08 17:36:05 -04:00
46478ef0ef 2025-01-08 14:20:02 2025-01-08 14:20:02 -04:00
ac3276e88f 2025-01-08 13:50:24 2025-01-08 13:50:24 -04:00
c5e0856728 ? 2025-01-08 12:49:28 -04:00
f34e528b5a Renormalize files 2025-01-07 19:27:29 -04:00
2bf7d29931 2024-12-18 20:03:16 2024-12-18 20:03:17 -04:00
ee0d00ce50 2024-12-18 19:53:08 2024-12-18 19:53:08 -04:00
3337b8c490 2024-12-16 08:34:07 2024-12-16 08:34:07 -04:00
dd35110b0d Numerical Methods Exam stuff 2024-12-06 08:49:42 -04:00
60dd9a5628 2024-12-04 14:18:49 2024-12-04 14:18:49 -04:00
f35f439f66 Add stuff 2024-12-04 12:07:37 -04:00
295693bb0a Stuff 2024-12-02 14:03:59 -04:00
d077ac5c1a 2024-12-02 13:56:05 2024-12-02 13:56:05 -04:00
4ee6f71f9f 2024-12-02 13:44:12 2024-12-02 13:44:12 -04:00
5ea84255ff stuff 2024-11-29 14:05:47 -04:00
c5238385c8 2024-11-29 13:56:15 2024-11-29 13:56:15 -04:00
2c4d73ae6b 2024-11-29 13:34:15 2024-11-29 13:34:15 -04:00
5f6abfb584 2024-11-27 11:53:15 2024-11-27 11:53:15 -04:00
c4d304a59b 2024-11-20 14:15:58 2024-11-20 14:15:58 -04:00
911a63f270 2024-11-20 14:02:35 2024-11-20 14:02:35 -04:00
00a38ce54e 2024-11-20 12:04:35 2024-11-20 12:04:35 -04:00
a3770d3667 2024-11-18 13:54:14 2024-11-18 13:54:14 -04:00
a22234a308 2024-11-06 14:12:50 2024-11-06 14:12:50 -04:00
1b780176b9 2024-11-04 14:11:40 2024-11-04 14:11:40 -04:00
7d16c750f2 2024-11-01 14:08:23 2024-11-01 14:08:23 -03:00
0de22b2403 2024-10-28 14:19:26 2024-10-28 14:19:27 -03:00
3afa3793c7 2024-10-28 14:11:30 2024-10-28 14:11:30 -03:00
db1d2b26f0 2024-10-28 12:19:19 2024-10-28 12:19:19 -03:00
8410370e00 2024-10-28 12:02:40 2024-10-28 12:02:40 -03:00
00e5e8817f 2024-10-28 11:48:32 2024-10-28 11:48:32 -03:00
129 changed files with 13694 additions and 76797 deletions

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@ -1,5 +1,6 @@
[
"table-editor-obsidian",
"obsidian-icon-folder",
"obsidian-git"
"obsidian-git",
"various-complements"
]

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@ -22,9 +22,10 @@
"outline": true,
"word-count": true,
"slides": false,
"audio-recorder": false,
"audio-recorder": true,
"workspaces": false,
"file-recovery": true,
"publish": false,
"sync": false
"sync": false,
"webviewer": false
}

File diff suppressed because one or more lines are too long

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@ -1,9 +1,10 @@
{
"author": "Vinzent",
"authorUrl": "https://github.com/Vinzent03",
"id": "obsidian-git",
"name": "Obsidian Git",
"description": "Backup your vault with Git.",
"name": "Git",
"description": "Integrate Git version control with automatic backup and other advanced features.",
"isDesktopOnly": false,
"fundingUrl": "https://ko-fi.com/vinzent",
"js": "main.js",
"version": "2.22.1"
"version": "2.28.2"
}

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@ -8,20 +8,20 @@
}
}
.workspace-leaf-content[data-type='git-view'] .button-border {
.workspace-leaf-content[data-type="git-view"] .button-border {
border: 2px solid var(--interactive-accent);
border-radius: var(--radius-s);
}
.workspace-leaf-content[data-type='git-view'] .view-content {
.workspace-leaf-content[data-type="git-view"] .view-content {
padding: 0;
}
.workspace-leaf-content[data-type='git-history-view'] .view-content {
.workspace-leaf-content[data-type="git-history-view"] .view-content {
padding: 0;
}
.loading>svg {
.loading > svg {
animation: 2s linear infinite loading;
transform-origin: 50% 50%;
display: inline-block;
@ -39,6 +39,10 @@
margin-right: auto;
}
.obsidian-git-disabled {
opacity: 0.5;
}
.obsidian-git-center-button {
display: block;
margin: 20px auto;
@ -77,6 +81,22 @@
height: auto;
}
.is-active .git-tools .buttons > * {
color: var(--nav-item-color-active);
}
.git-author {
color: var(--text-accent);
}
.git-date {
color: var(--text-accent);
}
.git-ref {
color: var(--text-accent);
}
.workspace-leaf-content[data-type="diff-view"] .d2h-d-none {
display: none;
}
@ -228,12 +248,18 @@
}
.theme-light .workspace-leaf-content[data-type="diff-view"] .d2h-code-line del,
.theme-light .workspace-leaf-content[data-type="diff-view"] .d2h-code-side-line del {
.theme-light
.workspace-leaf-content[data-type="diff-view"]
.d2h-code-side-line
del {
background-color: #ffb6ba;
}
.theme-dark .workspace-leaf-content[data-type="diff-view"] .d2h-code-line del,
.theme-dark .workspace-leaf-content[data-type="diff-view"] .d2h-code-side-line del {
.theme-dark
.workspace-leaf-content[data-type="diff-view"]
.d2h-code-side-line
del {
background-color: #8d232881;
}
@ -249,13 +275,19 @@
}
.theme-light .workspace-leaf-content[data-type="diff-view"] .d2h-code-line ins,
.theme-light .workspace-leaf-content[data-type="diff-view"] .d2h-code-side-line ins {
.theme-light
.workspace-leaf-content[data-type="diff-view"]
.d2h-code-side-line
ins {
background-color: #97f295;
text-align: left;
}
.theme-dark .workspace-leaf-content[data-type="diff-view"] .d2h-code-line ins,
.theme-dark .workspace-leaf-content[data-type="diff-view"] .d2h-code-side-line ins {
.theme-dark
.workspace-leaf-content[data-type="diff-view"]
.d2h-code-side-line
ins {
background-color: #1d921996;
text-align: left;
}
@ -376,19 +408,31 @@
color: var(--text-normal);
}
.theme-light .workspace-leaf-content[data-type="diff-view"] .d2h-file-diff .d2h-del.d2h-change {
.theme-light
.workspace-leaf-content[data-type="diff-view"]
.d2h-file-diff
.d2h-del.d2h-change {
background-color: #fdf2d0;
}
.theme-dark .workspace-leaf-content[data-type="diff-view"] .d2h-file-diff .d2h-del.d2h-change {
.theme-dark
.workspace-leaf-content[data-type="diff-view"]
.d2h-file-diff
.d2h-del.d2h-change {
background-color: #55492480;
}
.theme-light .workspace-leaf-content[data-type="diff-view"] .d2h-file-diff .d2h-ins.d2h-change {
.theme-light
.workspace-leaf-content[data-type="diff-view"]
.d2h-file-diff
.d2h-ins.d2h-change {
background-color: #ded;
}
.theme-dark .workspace-leaf-content[data-type="diff-view"] .d2h-file-diff .d2h-ins.d2h-change {
.theme-dark
.workspace-leaf-content[data-type="diff-view"]
.d2h-file-diff
.d2h-ins.d2h-change {
background-color: rgba(37, 78, 37, 0.418);
}
@ -401,7 +445,9 @@
text-decoration: none;
}
.workspace-leaf-content[data-type="diff-view"] .d2h-file-list-wrapper a:visited {
.workspace-leaf-content[data-type="diff-view"]
.d2h-file-list-wrapper
a:visited {
color: #3572b0;
}
@ -427,13 +473,13 @@
padding: 0;
}
.workspace-leaf-content[data-type="diff-view"] .d2h-file-list>li {
.workspace-leaf-content[data-type="diff-view"] .d2h-file-list > li {
border-bottom: 1px solid var(--background-modifier-border);
margin: 0;
padding: 5px 10px;
}
.workspace-leaf-content[data-type="diff-view"] .d2h-file-list>li:last-child {
.workspace-leaf-content[data-type="diff-view"] .d2h-file-list > li:last-child {
border-bottom: none;
}
@ -501,7 +547,8 @@
background-color: var(--background-secondary);
}
.cm-gutterElement.obs-git-blame-gutter > div, .line-author-settings-preview {
.cm-gutterElement.obs-git-blame-gutter > div,
.line-author-settings-preview {
/* delegate text color to settings */
color: var(--obs-git-gutter-text);
font-family: monospace;
@ -510,3 +557,10 @@
padding: 0px 6px 0px 6px;
white-space: pre; /* Keep spaces and do not collapse them. */
}
@media (max-width: 800px) {
/* hide git blame gutter not to superpose text */
.cm-gutterElement.obs-git-blame-gutter {
display: none;
}
}

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@ -0,0 +1,11 @@
{
"id": "obsidian-kanban",
"name": "Kanban",
"version": "2.0.51",
"minAppVersion": "1.0.0",
"description": "Create markdown-backed Kanban boards in Obsidian.",
"author": "mgmeyers",
"authorUrl": "https://github.com/mgmeyers/obsidian-kanban",
"helpUrl": "https://publish.obsidian.md/kanban/Obsidian+Kanban+Plugin",
"isDesktopOnly": false
}

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@ -0,0 +1,12 @@
{
"id": "obsidian-tasks-plugin",
"name": "Tasks",
"version": "7.13.0",
"minAppVersion": "1.1.1",
"description": "Track tasks across your vault. Supports due dates, recurring tasks, done dates, sub-set of checklist items, and filtering.",
"helpUrl": "https://publish.obsidian.md/tasks/",
"author": "Clare Macrae and Ilyas Landikov (created by Martin Schenck)",
"authorUrl": "https://github.com/obsidian-tasks-group",
"fundingUrl": "https://github.com/sponsors/claremacrae",
"isDesktopOnly": false
}

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@ -6,7 +6,7 @@
"description": "Improved table navigation, formatting, manipulation, and formulas",
"isDesktopOnly": false,
"minAppVersion": "1.0.0",
"version": "0.19.1",
"version": "0.22.1",
"js": "main.js",
"fundingUrl": {
"Github Sponsor": "https://github.com/sponsors/tgrosinger",

View File

@ -0,0 +1,103 @@
{
"strategy": "english-only",
"cedictPath": "./cedict_ts.u8",
"matchStrategy": "prefix",
"fuzzyMatch": true,
"minFuzzyMatchScore": 0.5,
"matchingWithoutEmoji": true,
"treatAccentDiacriticsAsAlphabeticCharacters": false,
"treatUnderscoreAsPartOfWord": false,
"maxNumberOfSuggestions": 5,
"maxNumberOfWordsAsPhrase": 3,
"minNumberOfCharactersTriggered": 0,
"minNumberOfWordsTriggeredPhrase": 1,
"complementAutomatically": true,
"delayMilliSeconds": 0,
"disableSuggestionsDuringImeOn": false,
"disableSuggestionsInMathBlock": true,
"insertSpaceAfterCompletion": true,
"firstCharactersDisableSuggestions": ":/^",
"patternsToSuppressTrigger": [
"^~~~.*",
"^```.*"
],
"phrasePatternsToSuppressTrigger": [],
"noAutoFocusUntilCycle": false,
"showMatchStrategy": false,
"showComplementAutomatically": false,
"showIndexingStatus": false,
"descriptionOnSuggestion": "Short",
"hotkeys": {
"select": [
{
"modifiers": [],
"key": "Enter"
}
],
"select with custom alias": [],
"up": [
{
"modifiers": [],
"key": "ArrowUp"
}
],
"down": [
{
"modifiers": [],
"key": "ArrowDown"
}
],
"select 1st": [],
"select 2nd": [],
"select 3rd": [],
"select 4th": [],
"select 5th": [],
"select 6th": [],
"select 7th": [],
"select 8th": [],
"select 9th": [],
"open": [],
"completion": [],
"insert as text": []
},
"propagateEsc": false,
"enableCurrentFileComplement": true,
"currentFileMinNumberOfCharacters": 0,
"onlyComplementEnglishOnCurrentFileComplement": false,
"excludeCurrentFileWordPatterns": [],
"enableCurrentVaultComplement": false,
"currentVaultMinNumberOfCharacters": 0,
"includeCurrentVaultPathPrefixPatterns": "",
"excludeCurrentVaultPathPrefixPatterns": "",
"includeCurrentVaultOnlyFilesUnderCurrentDirectory": false,
"excludeCurrentVaultWordPatterns": [],
"enableCustomDictionaryComplement": false,
"customDictionaryPaths": "https://raw.githubusercontent.com/first20hours/google-10000-english/master/google-10000-english-no-swears.txt",
"columnDelimiter": "Tab",
"customDictionaryWordRegexPattern": "",
"delimiterToHideSuggestion": "",
"delimiterToDivideSuggestionsForDisplayFromInsertion": "",
"caretLocationSymbolAfterComplement": "",
"displayedTextSuffix": " => ...",
"enableInternalLinkComplement": true,
"suggestInternalLinkWithAlias": false,
"excludeInternalLinkPathPrefixPatterns": "",
"updateInternalLinksOnSave": true,
"insertAliasTransformedFromDisplayedInternalLink": {
"enabled": false,
"beforeRegExp": "",
"after": ""
},
"frontMatterKeyForExclusionInternalLink": "",
"enableFrontMatterComplement": false,
"frontMatterComplementMatchStrategy": "inherit",
"insertCommaAfterFrontMatterCompletion": false,
"intelligentSuggestionPrioritization": {
"enabled": true,
"historyFilePath": "",
"maxDaysToKeepHistory": 30,
"maxNumberOfHistoryToKeep": 0
},
"disableOnMobile": false,
"showLogAboutPerformanceInConsole": false
}

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@ -0,0 +1 @@
{"Important":{"Important":{"currentFile":{"count":1,"lastUpdated":1744212756873}}},"Questions":{"Questions":{"currentFile":{"count":1,"lastUpdated":1744212758410}}},"answers":{"answers":{"currentFile":{"count":1,"lastUpdated":1744212929208}}},"probabilities":{"probabilities":{"currentFile":{"count":1,"lastUpdated":1744215350670}}},"decision":{"decision":{"currentFile":{"count":1,"lastUpdated":1744215513253}}}}

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@ -0,0 +1,10 @@
{
"id": "various-complements",
"name": "Various Complements",
"version": "10.0.3",
"minAppVersion": "0.16.0",
"description": "This plugin enables you to complete words like the auto-completion of IDE",
"author": "tadashi-aikawa",
"authorUrl": "https://github.com/tadashi-aikawa",
"isDesktopOnly": false
}

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@ -0,0 +1,184 @@
.various-complements__settings__text-area-path {
height: 120px;
width: 500px;
}
.various-complements__settings__text-area-path-dense {
height: 120px;
width: 360px;
}
.various-complements__settings__current-settings-json {
font-size: 0.75em;
height: 800px;
width: 500px;
}
.various-complements__settings__warning {
color: darkorange;
text-align: right;
}
.various-complements__settings__nested {
padding-left: 30px;
}
.various-complements__settings__header {
position: relative;
padding-left: 25px;
}
.various-complements__settings__header::before {
position: absolute;
width: 20px;
margin-top: 3px;
margin-left: -25px;
filter: invert(0.5) hue-rotate(180deg);
}
.various-complements__settings__header__main::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__settings__header__appearance::before {
content: url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiB2aWV3Qm94PSIwIDAgMjQgMjQiPjxwYXRoIGQ9Ik0yMCAzSDRjLTEuMSAwLTIgLjktMiAydjExYzAgMS4xLjkgMiAyIDJoM2MtLjU1LjU1LTEgLjg3LTEgMS41OWMwIC43OC42MyAxLjQxIDEuNDEgMS40MWg5LjE3Yy43OCAwIDEuNDEtLjYzIDEuNDEtMS40MWMwLS43Mi0uNDQtMS4wMy0xLTEuNTloM2MxLjEgMCAyLS45IDItMlY1QzIyIDMuOSAyMS4xIDMgMjAgM3ptMCAxM0g0VjVoMTZ2MTF6IiBmaWxsPSJjdXJyZW50Q29sb3IiPjwvcGF0aD48L3N2Zz4=");
}
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}
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content: url("data:image/svg+xml;base64,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");
}
.various-complements__settings__header__mobile::before {
content: url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiB2aWV3Qm94PSIwIDAgMjQgMjQiPjxwYXRoIGQ9Ik0xNyAxLjAxTDcgMWMtMS4xIDAtMiAuOS0yIDJ2MThjMCAxLjEuOSAyIDIgMmgxMGMxLjEgMCAyLS45IDItMlYzYzAtMS4xLS45LTEuOTktMi0xLjk5ek0xNyAxOUg3VjVoMTB2MTR6IiBmaWxsPSJjdXJyZW50Q29sb3IiPjwvcGF0aD48L3N2Zz4=");
}
.various-complements__settings__header__debug::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__settings__popup-hotkey {
padding: 1rem 0;
/*noinspection CssUnresolvedCustomProperty*/
border-top: 1px solid var(--background-modifier-border);
}
.various-complements__settings__popup-hotkey-item {
padding-left: 2rem;
}
.various-complements__footer {
position: relative;
padding-right: 15px;
margin-left: 15px;
}
.various-complements__footer::before {
position: absolute;
width: 13px;
margin-top: 1px;
margin-left: -15px;
filter: invert(0.5) hue-rotate(180deg);
}
.various-complements__footer__current-file::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__footer__current-vault::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__footer__custom-dictionary::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__footer__internal-link::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__footer__front-matter::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__footer__match-strategy {
cursor: pointer;
}
.various-complements__footer__match-strategy::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__footer__complement-automatically {
cursor: pointer;
}
.various-complements__footer__complement-automatically::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__suggestion-item::before {
display: inline-block;
width: 16px;
margin-top: 4px;
margin-left: -20px;
margin-right: 5px;
filter: invert(0.5) hue-rotate(180deg);
}
.various-complements__suggestion-item {
display: flex;
align-items: start;
padding-left: 30px !important;
}
.various-complements__suggestion-item > div {
display: inline-block;
}
.various-complements__suggestion-item__description {
font-size: 0.75em;
/*noinspection CssUnresolvedCustomProperty*/
color: var(--text-muted);
padding-top: 0.75em;
}
.various-complements__suggestion-item__current-file::before {
content: url("data:image/svg+xml;base64,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");
}
.various-complements__suggestion-item__current-vault::before {
content: url("data:image/svg+xml;base64,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");
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- No cheat sheet
- BRING CALCULATOR!
- Differentiation Methods
- Which is slower
- Which is easier to calculate
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# Final Exam Info
- 2 short essays, one for each prior module
- 1 cold war
- 1 renaissance
- 1 long essay, prehistory
- Person, place things that we studied
# Review:
Taking note of what they said not the slides, look at slides for slide stuff
- What makes an Era
- 3 Hour Exam
- 3 Sections
Section 1:
- Section of short ID questions
- See 18 questions, 12 will be on the exam, 6 you have to pick on the exam
- 30 Points/100 Points
- Question Topics are good study guides for following sections
Section 2:
- Long Essay Question (On Ancient History)
- 3-4 Pages (Double Spaced)
- Worth 40/100 Points
- Give as much detail as possible, and give as many examples as possible
- Think about the texts we studied and how they are useful in historical analysis and how we can actually use them in history
Section 3:
- Short Essay Questions
- Two Short essays, Two modules we didn't end with (Cold war, Renaissance )
Format:
- Intro, thesis, arguments with examples (would be strong answer)
- But content over formatting, use formatting to allow good argument flow
- Examples but quotes not expected or required
To Prepare:
- Study lecture slides
- Re-reread readings to familiarize yourself and give example
- What did we learn about social hierarchies in early modern Europe
- Describe and discuss early modern inequality and in relation to examples from the module (Religion, Technology, Slave trade etc)
- Questions will compare policies of any two soviet leaders that we talked about
- What did they do, what actions did they take, what were the consequences that they had
- Leaders are listed in slides, review readings as well, focuses on leaders
- You can pick any two leaders, will not be predetermined
- Focus more on analysis and policy and not historical facts, facts are for supporting arguments on their policy and my analysis
To Prepare Generally
- Add exam dates to calendar
- Think ahead about work to due and prepare accordingly
- Review notes, slides, and assigned readings
- Practice with the list of terms for section 1
- Reflect on major course themes and topics
- Study with classmates (!!!)
- Try to setup study time either online or in person at library
- d6edc@unb.ca
- eeshpal.s@unb.ca
- Take breaks
In the Exam:
- Read the entire exam before writing
- Prepare your notes on a page marked draft
- Keep track of time, allocate time for each sections
- Expect each section to be about equal timing
- Can be out of order (with proper marking)
- Read your exam answers over before submitting , make sure to count them
Writing Exam Questions
- Avoid generalization , use examples, be specific,
- If you can't remember specific dates, use levels of specificity
- 1542 > mid 16th century > 16th century > early modern
Last Friday is a study day

View File

@ -414,12 +414,282 @@ Many ways:
- Spain
- England
## New Worlds
- Early portuese expeditions
- Prince henry the navigator
- The port of lisbon
- Early Portuguese expeditions
- Prince Henry the navigator
- The port of Lisbon
- Motivations include trade, religion, exploration, expansion
- Caravel - advances in boat technology and construction
- Christopher Columbus
- Made four voyages, landed in Guanahani / San Salvador on oct 12 1492
- Goal to discover sea route to India, which is why he called people indians
-
- Made four voyages, landed in Guanahani / San Salvador on Oct 12 1492
- Goal to discover sea route to India, which is why he called people Indians
## Slave Trade
### Colombian Exchange
- The movements ...
### Migration
- Voluntary vs Involuntary
- After 1500, the majority of people who crossed the Atlantic were enslaved Africans
- Trans-Atlantic slave trade
### Slavery
- People as property
- Legal status: condition of unfreedom
- Violence, exploitation, family separation
- Captivity, birth
- Ownership, sale
- Forced labor,, production, economy
- Ancient. Ongoing
- Language: Slave/Enslaved person
### Mediterranean Slavery
- Ancient World
- Roman Empire
- Slave societies - dependence on slave labor
- Medieval world
- Christian and Islamic
- Societies with slaves - slavery was accepted and common, but economies not dependent on slave labor
### Portuguese Age of Sale
- Elmina (1482)
- Trans Atlantic slave trade
- 15-19th centuries, 1525: First ship to America
- Peak in 1780s
- 1866: Last ship
- 12.5 million African people captured
- 10.7 million survived the middle passage
- https://www.slavevoyages.org
- The middle passage
- Forced ocean journey of enslaved Africans to the Americas
- 1-3 months at sea
- floating tombs
- High death rate (10%-20%)
- Baptisms at Portuguese forts
- Trauma, violence
- Disease, malnutrition
- Impact on African Societies
- Violence, Trauma, Death
- Massive population loss
- Gender imbalance, more men taken in slave trades
- Family separation
- Some rulers profited
- Long-term instability
- European political and economic power were built on the labor of enslaved people
- Sugar cane production, Brazil, 17th century
- Very dangerous labor
- Cocoa
### Slavery and Resistance
- Violent Rebellion
- Desertion, "marronage"
- "From the earliest time in which Africans were brought forcibly to the New World they resisted bondage by flight, or marronage"
- Runaway communities
- Quilombos
- Communities founded by African and African decended people, including those who escaped enslavement
- Hundreds in Brazil, since 1530
- The Quilombo of Palmares was the largest fugitive community in Brazil (approx 11000 people)
- Zumbi dos Palmares (1655-1695)
- Sabotage, property destruction
- "Foot dragging"
- Judicial action
- Petitions, lawsuits, appeals
- Purchase, legal manumission, freedom
### Slavery and Race
- Growth of associate between blackness and the status of slavery
- Emergence of radicalized prejudice in early modern era
- Negative stereotypes, assumptions about servitude
- Iberian world: growing racial concepts, blood purity
- Political, religious and "natural" justifications for slavery
# Ancient History
## Intro
Where and when are we?
- When does history begin
- From neanderthals to cities
- What is writing
- Invention of cuneiform
- Decipherable
- Early Mesopotamian history
- Cuneiform and the writing of history
- Reflections on the origins of writing
How are history and memory connected?
### Ways of knowing - History
- History is recovered through a variety of methods
- These methods have changed over the years
- How and what can we write about history is wholly dependent on these methods
- Same as other fields (i.e. electron microscope)
- These are intrinsic and extrinsic factors
- Intrinsic: Evolution of scaly fish? (We didn't do anything, happened on its own?)
- Extrinsic: Developed a technology, and now we can know more (i.e. electron microscope)?
Cave painting is it history?
- Knew how to draw on walls
- Elk?
Egyptian scripture is it history?
- Status
- Ramses document
- Kings
- People in document
Problems
- Only have documents of debatable importance (important stuff presumed to be used?)
- Artifacts and documents unavailable due to restrictions like people living there still, or natural factors
- Dangerous locations prevent research, or too expensive now
- Or it just plain doesn't exist anymore (Ziggurat)
So what can we do
- Look for places where we can eek out some pieces of history
### How do we divide time
- Prehistory vs history
- Three age system
- Stone age
- Bronze age
- Iron Age
- BP (before present)
- Others?
## Lecture 2 (Didnt get title)
- Prehistory
- a
- Archaeology
- Study of past humans through the remains of their activities
- What can we recreate / know / can't know from archaeology
- Evolution of modern humans
- Homo habilis 2.8 mya used stone tools
- Homo erectus 1.5 mya used fire and complex tools and left africa
- 100-50 kya homo sapiens migrated out of Africa, replaced previous hominids, and developed "behavioral modernity"
- Eras
- Paleolithic (Old Stone Age) - 3.3 mya - 12 kya
- Lower (3.3 mya - 300 kya)
- Middle (300 - 50 kya)
- Upper (50-12 kya)
- What makes these distinction salient
- Lower: simple stone tools (pick best stone)
- Middle: prepaired stone tools, art, burial pracitices
- Upper: flint tools, complex tools (hook, lamps), cave art, figural art
- But these are gradual changes, and always under revision
- Cultures are named after type sites: eg. Oldowan tools from Olduvai Gorge in Tanzania
- Three Age System
- Stone Age - 3.3mya - 2000bce
- Bronze Age 3300bce - 1200 bce
- Iron Age 1200 - ?
- Neolithic
- Pre pottery Neolithic (10 000 - 6500 bce)
- Pottery Neolithic (7000 - 4500 bce)
- Begins with transition to agriculture and ends with metalworking
- Younger Dryas event (global climate change) impacted hunter gatherer societies and increased food stress
- Divisions within are marked by new tools, new use of animals, plants, and architecture
- Agricultural Revolution
- Domestication of plants (flora) and animals (fauna) - 10 000 bce
- Repeated harvesting of wild varieties slowly fed to beneficial traits being selected, creating out modern domestic species
- Goats were probably the first animals domesticated
- Didn't necessarily lead to healthier or better outcomes
- Beginning of Urbanism
- Early Cities
- Cataholouk
- Jericho
- Populations began to settle down and use the surpleuses created by effcient agricultural production to densify and specialize their populations
- Complex architecture, public communal space
- Case Study - Gobekli Tepe
- Very early settlement (11500 - 10 000 BP)
- Large stone circular rooms and decorated pillar
- Evidence of food preparation (grain and animals bones, non-domesticated)
- Abandoned around when agriculture was invented
- Case Study - Ayn Ghazal
- Pre pottery Neolithic settlement outside of modern day Amman Jordan
- Discovered when a bulldozer litterally dug into it while exacating for a new road
- Amazing picture of what Neolothic life looked like and the beliefs/practicies of people pre-writing
- Excavated in the late 1980s (meaing the methods are very good)
- Houses
- Stone walls
- Single room
- Sunken plaster hearth
- Likely wooden posts holding up a roof, later turned into a two room house with a door
- Subsistence
- Domestication of wheat, barley, lentils, peas, chick-peas
- Animals remain show a huge reliance on goats, but also a wide variety of wild species
- The skeletal remains of animals show the actual process of domestic an (change in body), meaning it was happening while people lived at Ayn Ghazal (smaller heads, teeth)
- Statues
- Lime plaster statues molded around a reed core, the reeds were tightened with twine
- Statues were painted with ochre (red) and carbon (black)
- Eyes were outlined in green/black
- Lots of fine details in plaster, knees, toes, toe nails, small ears
## Writing
- What is writing
- Talking about writing systems, a socially agreed upon method for recording information
- Physical form of memory, often taking memories or thourghts and putting them on a physical item in the world
- Made up of grapemes (symbols) which represent a wide variety of types of information
- Not necessarily linear
- Are symbolic maps or calenders writing?
- Different ways of writing
- Writing is inveted for a purpose which often determines (along with available material) its form
- Alphabetic - Latin alphabet, Arabic abjad, alphabet with no vowels
- Syllabic - Japnese, Cherrokee, Amharic
- Logographic - Chinese
- Ideahraphic/Semasiographic - Writing without speech
- Writing systems change over time, ie symbols change over time
- How and why is writing invented
- Always exists before proper writing, but may not lead to writing
- Early notation systems, usually numbers or single non numerical symbols
- Examples: Neolithic lunar counts, Andean Quipu
- Invention of writing
- Cuniform
- Earlies form of writing, originates from early numerical tablets, tags, and clay tokens
- First examples date to around 3200 BCE in southern mesopotamia
- Early texts are economic accounts of transsactions
- The script is logosyllabic, symbals can be words or sounds
- In use for over 3000 years
- Materiality
- Impressed into wet clay tablets or carved into stone reliefs (rarely painted), also writte n on wax but only one fragment survives
- Incredibly durable, turn rock hard when fired in city buidling destruction
- around a million still left in the ground, 100s of thousands in museeum collections untranslated
- Heiroglyphs
- Early wooden stoen tags with precursor symbols
- First examples around 3200 bce in ancient egypt (abydos)
- Script is logogosyllabic
- Early texts are found in funerary contexts and record owners...
- Materiality
- Carved into stone surfaces
- Inked onto papyrus
- Stone carvings survives and paints survives well in tomes, papyrus survives in tombs
- Very little survives outside of funerary contexts
- New discovers are allowing us to read previously ignored sources (trash heaps)
- Chinese
- Early pictoral inscriptions exist, and maybe knotted cords but evidence is scarce
- First examples around found around 1200 bce
- Early texts are records of divination recored on turtle shells called "oracle bones", soon after it us used fr royal inscriptions cast in bronze
- Script is logogprahic
- Still in use today
- Materiality
- The tutyle bones and cast metal peices survive well in the archelogical recor, wood and bamboo slips have until recently not been recovaerable
- Recent finds of intact banboo strips and the ability of conserve and read them has revolutionaited the field of Chinese literature
- First inention of printing (movalbe type) - 1040 CE
- Mayan
- Prior proto writing: Olmec, Zaptotec (as more is known theese might become full writing systems)
- First example date to 300 BCE in central america
- Early texts are primarily about ownership of objects and poltical power
- The script is logosyllabic
- Materiality
- Mayan script was written on a wide variety of materials
- Painited onto vessals and walls
- Carved into wood and stone
- Each material/method has its own rate of surviavbility, what does this mean if certain genres of text were written on certain materials
- Key takeaways
- Writing is independently invented in multiple places at different times
- We use this invention of writing to demarcate a major division in historical eras (prehistory vs history)
- The invention of writing is a gradual process
- Early writing is invented for a variety of purposes
- Writing is not necessarily analogous to recorded speech
- Writing is invented in already complex society with forms of proto-writing and not ex-novo (out of nothing)
## Cuneiform
- Overview
- ...
- Death
- Cuneiform probably stopped being written somewhere around 1st c CE, replaced by Aramaic and Greek
- Later writers claimed their teachers (or teacher's teacher) knew the writings of the Chaldean's
- Travelers in the Middle East from the 15th century onward saw the marks and thought they were decorative
- Decipherment
- Carsten Niebuhr traveled to Persepolis (1764) and made excellent copies of the inscriptions, identified that there were three scripts in use
- Friedrich Munter guessed (1802) that in the Old-Persian inscription the most common word was probably "king"
- Georg Gotefend knew that later inscription started with "kings name great king, king of kings, son of kings father the king" and started guessing Persian kings
Prehistory vs History
- A divide driven by what we (can) know, not by large historical events
- The invention of writing is a small gradual process (3200 BCE is one date)
- The people either side of writing ...
Historical Eras
- Eras are constructed by historians studying the past:
- Eras defined by great people: The Augustan Age, The Victorian Era
- Eras defined by technical innovation or thought: The Information Age, Renaissance
- Eras defined by relative chronology: Pre-modern, BCE/BC
- Eras defined by what we know: Pre-history
- When we study history we should think critically about how the eras we use are constructed.

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- King of Lagas
- Child of Gunidu
- Citizen of Gursar
- Build temple of Nigirsu
- Built the Abzu-banda
- Built the temple of Nanse
- Established control of the Dilmun-boats
-

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- DOWNLOAD PDF/PPTX, NOTES IN SLIDES
- Party Realign
- Does trump's election signify a realignment
- A disruption of the existing political order
- An election where voters shift their support strongly in favor of one party
- A major change in policy brought about by a stronger party
- An enduring change in the party coalitions which works to the lasting advantage of the dominant party
- 19th and 20th century democrats
- 19th and 20th century republicans
- Expect to use every other page of the booklet for essay length
- 10 short answer questions, can pick a select amount, she said she will email then and we can pick Friday/Monday, four on the final, pick 3 on the final
- 2 hour exam

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- Senators are except
- Army and Navy exempt
How it works? (says could be on test)
## Impeachment (Zelenski)
- Phone Call
- CrowdStrike Investigation
- Whistle-blower complaint
- Charges
- Abuse of power
- obstruction of justice
- Released 658 page report, saying bribery, wire fraud, abuse of power
- Only republican that voted to convict was Romney
- The senate voted to acquit
## 2020 Election
Defining the election:
- COVID Outbreak
- Recession
- Higher voter turnout since 1990
- Biden won more votes than any candidate in a US election: 81 million
- Trump first Republican to lose re election since George H.W. bush in 1992
Central topics:
- Economic impact of COVID
- Civil unrest over George Floyd
- Supreme Court
- Future of the Affordable Care Act
### The Talbot boys (on test!!)
- Erected in 1916 on the grounds of the country courthouse in Easton Maryland
- In features a boy looking into the distance and carriyng a confederate flag
- 96 names of Confederate soldiers from Talbot county are carved into the granite pedestal
- "To the Talbot boys
- ... more on slide
### What happened
- In 2015 after a white supremacist ...
- Voted 5-0 not to remove
- ... More on slide
Problems with these arguments
- History is being rewritten all the time
- History is not being erased, it's still in books, museums, graveyard and battlefield tours
- ... more on slides

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No notes allowed
Calculator allowed

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### Running Time
Most Algorithms transform input objects into output objects. The running time typically grows with the input size. Average case time is often difficult to determine. We focus on the worst case running time, as it's easier to analyze and its crucial to applications such as games, finance, and robotics.
### Space Complexity
In algorithms, you need to think about the amount of space, memory, that you need to compute the algorithm.
### Algorithm Structure?
Need to think about how complex an algorithm is in implementation, the simpler the better. Code organization is also important in the structure.
### Fibonacci
Algorithm which uses array to store previous fib numbers vs one which uses constant number of variables to compute the sequence. Space complexity varies between the two between one being O(n) and one is O(1).
The naive recursive solution for this problem is very bad. By using multiple return values we can make the recursive algorithm equal to the non-recursive algorithm.
### Counting Primitive Operations
The algorithm described is a simple implementation to find the max value of an array containing only numbers
By inspecting the pseudo-code, we can determine the maximum number of primitive operations executed by an algorithm, as a function of the input size.
Looking at the number of times n is used, in the worst case scenario, we can see a for loop, as well as other stuff? ending up with a number of operations of 8n-2, with a big O of O(n)
### Relatives of Big O,
- Big Omega
- Big Theta - If this is n squared, it means big omega and big o are also n squared.
## GO over slides for Jan 13th as I missed first half
### Greedy Algorithms
Greedy algorithms always optimize for the current best chest, ignoring any possible better outcomes in the future.
This can work in cases where a problem has a greedy property.
### Making Change Problem
In the case where the denominations are always larger/equal to 2 of the smaller denominations then it makes sense when giving change, to simply give the largest coin available.
### Fractional Knapsack Problem
Given a set S of n items, with each item i having a positive benefit factor, b, and a positive weight, w.
Goal: Choose items with maximum total benefit but with weight at most W.
If we are allowed to take factional amounts, then this is the fractional knapsack problem. The objective is to maximize the benefit given the amount divided by the weight, with the constraint that the amount is less than the total amount W.
### Interval Partitioning: Greedy

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# Schedule Problem
A single server has n customers to serve. The sere time t_i required by each customer i is known in advance. Goal is to minimize T, the time in the system for customer i.
For example, t_1=5, t_2=10, t_3=3. Schedule 1: 123, Schedule 2: 231
Input: The set C of all customers C = { t_1, ... }. t_i is the service time for customer i
Output: The total time in the system for all customers
Merge Sort C in ascending order. A greedy solution works in this case.
We can simply run through the sorted list and serve them in order.
But if we assume the greedy algorithm is not optimal in this case
Try to reduce total time T

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TODO: Go over slide 1 stuff and fill in
TODO: Go over slide 2 stuff and fill in
# Lecture 2
## S-Expressions
### Simplified Calculator Parser
# Lecture 3: Local binding
Stacker helps show the environment, heap allocations, and stackframes
# Lecture 4: Functions
# Lecture 5: Macros
# Lecture 6-7: Objects
Desugared objects, defining a function that takes a case for method arguments
# Lecture 8: Types

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# Instructions:
12 FRQ, written answers
3 MCQ, multiple choice
1 Matching question, algorithms (role of algorithms)
15 total questions (?)
1 A4 size double sided hand written notes allowed (Important!!!)
2 hour exam
Partial marks allowed for partially correct answers
Bring a calculator (Important!!!)
# Part 1 Important Questions
Horn form for logic?
Why are these conditions not solvable without a truth table?
# Part 2 Important Questions
## 1
Arithmetic assertions can be written in first order logic with the predicate symbol <, the function symbols + and x, and the constant symbols 0 and 1. Additional predicates can also be defined with bi-conditionals
a) Represent the property "x is and even number"
Ax Even(x) <=> Ey x=y+y
b) Represent the property "x is prime"
Ax Prime(x) <=> Ey,z x=y * z => y = 1 V z = 1
c) Goldbach's conjecture is the conjecture (unproven as of yet) that "every even number is equal to the sum of two primes". Represent this conjecture as a logical sentence.
Ax Even(x)=> Ey,z Prime(y) /\ Prime(z) /\ x=y+z
# 2
Find the values for the probabilities a and b in joint probability table below so that the binary variables X and Y are independent
| X | Y | P(X, Y) |
| --- | --- | ------- |
| t | t | 3/5 |
| t | f | 1/5 |
| f | t | a |
| f | f | b |
Due to probability being max 1, we know that a + b must be 1/5
P(Yt)/P(Yf) = a/b = 3
b = 1/20
a = 3/20
# 3
idk where R comes from, look into slides about bayes theorem
Show the three forms of independence in Equation (12.11) are equivalent
P(a|b) = P(a) or P(b|a) = P(b) or P(a /\ b) = P(a) * P(b) / R(?)
First two are logically the same, just inverted
From bayes theorem
P(a | b) * P(b) = P(a) * P(b) / R(?)
P(a /\ b) = P(a | b) * P(b)
# 4
Consider the following propability distrobutions:
| A | P(A) |
| --- | ---- |
| t | 0.8 |
| f | 0.2 |
| A | B | P(B\|A) |
| --- | --- | ------- |
| t | t | 0.9 |
| t | f | 0.1 |
| f | t | 0.6 |
| f | f | 0.4 |
| B | C | P(C\|B) |
| --- | --- | ------- |
| t | t | 0.8 |
| t | f | 0.2 |
| f | t | 0.8 |
| f | f | 0.2 |
Given these tables and no other assumptions, calculate the following probabilities.
a. P(a, ~b)
= P(a) * P(~b|a)
= 0.8 * 0.1
= 0.08
b. P(b)
= P(bt|a) * P(a) + P(bt | ~a) * P(~a)
= 0.9 * 0.8 + 0.6 * 0.2
= 0.84
# 5
Let A and B be Boolean Random variables. You are given the following probabilities
P(A=true) = 0.5
P(B=true |A=true) = 1
P(B=true) = 0.75
What is P(B=true|A=false)?
# 6
Consider the XOR function of three binary input attributes, which produces the value 1 if and only if an odd number of the three input attributes has value 1.
Draw a minimal sized decision tree for the three input XOR function.
Three layer decision three, A > B > C. Output of tree would be
0 1 1 0 1 0 0 1 if on the left of the decision is always 0 and 1 is right
# 7
Consider the problem of separating N data points into +ve and -ve examples using a linear separator. Clearly this can always be done for N=2 points on a line of dimension d=1, regardless of how many points are labeled or where they are located (unless the points are in the same place)
a) Show that it can always be done for N=3 points on a plane of dimension d=2 unless they are co-linear.
b) Show that it cannot (or can we?) always be done for N=4 points on a plane of dimension d=2

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## AI Agents
AI agents are defined as a program (state of all previous actions and inputs) that produces an agent function
### Reflex Vacuum Cleaner Agent
Essentially a rules table, based on the state of the environment and the agent, (state of dirt in a/b, position of cleaner in a or b)
### Rational Agents
A fixed performance measure the agent should set as their goal, based on the environment and the agents actions
- One point per square cleaned in time T?
- One point per clean square per time step, minus one per move?
- Penalize for > k dirty moves?
A rational agent chooses the action that maximizes the expected value of the performance measure given the percept sequence to date.
A rational agent is not omniscient or clairvoyant. It is not guaranteed they will perceive everything relevant, or are given the relevant information. They also may not be successful in the action as expected. A rational agent does not mean a successful one.
### Defining internet agents
#### Automated Taxi
- Performance measure
- environment
- actuators
- sensors
#### Internet Shopping Agent
- Performance measure
- environment
- actuators
- Sensors
### Task environment characteristics
- Fully/Partially observable - Agents sensors give it access to complete state of the environment at each point in time
- Single/multi-agent - Single agent solving a problem (puzzle vs chess)
- Deterministic/Non-deterministic - Whatever next state is determined completely by the current state, ie randomness
- Episodic/sequential - Agent's experience divided into atomic episode (agent receives a percept and perform a single action)
- Dynamic/static - If environment changes while an agent is deliberating
- Discrete/Continuous - State of the environment (states in chess vs taxi driving)
- Known/Unknown - In known environments, the outcomes for all given actions are given
### Agent types
- Simple reflex agents
- Model based reflex agents with state
- Goal-based agents
- Utility based agents
All of these can be turned into learning types
A learning agent has 4 main components, a performance algorithm, a critic, a learning element, and a problem generator, which forms a feedback loop which enables the agent to learn to adapt to it's environment.

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### Models of Parallel Computing
- SISD (x86)
- SIMD (AVX)
- MISD
- MIMD (GPU)
### History of parallel computing
Prior to the 1990s, computers had modules for parallel computation, usually specialized.
Clusters of computers (Beowulf Revolution) connected by a network, which were able to be dispatched commands and do computation together. Grid computing was the idea of connecting "all" computers to a grid, similar to the power grid, and to distribute computing resources among connected peers. Cloud computing is a model of distributing computation resources based on payment to a provider which provides managed computing. This led to the Hadoop file system (2004), which led to computation directly on files, with no need to load all contents of the file into memory. This led to Map Reduce, which was the main framework the file system worked under. GPU computing naturally lends itself to processing linear algebra operations (transformations of pixels and triangles), suitable for massive parallelization of these tasks, even outside of graphics. FPGA devices can be used to parallelized specific/specialized tasks given a logic design that is lends itself to parallelization. Quantum computers are highly parallel accelerators, still in development. The algorithms were known starting in the 1980s, but the hardware is still behind. Multicore systems are designed for improved latency, and they can fulfill general purpose computation, example: CPU with multiple cores. Manycore systems have much higher core count, and they are focused on the throughput (amount of computation performed per unit of time), example: GPU.
### Parallel Programming
Implicit
- MapReduce
- fork-join, Executor services with thread pools
- Allows shifting attention from implementation to task description
Semi-implicit
- Parallel for
- OpenMP
- Allows you to use the pre-defined directives for achieving parallel execution without focusing on how it works
Explicit
- Scatter, Gather
- pthreads
- The developers have the most control on computation, but have to manage and assure there are no problems in results
Compilers are good at designing optimal sequential code, but compiler optimizations may prevent the algorithm from working as expected, as well as instruction reordering impacting results.
## Patterns
Like OOP, patterns for parallel processing exist. They can be classified as "structural, computational or ..." TODO: look at notes
### Structural Pattern: Pipe and Filter
Stream of Messages -> Language Identification -> English Messages -> Metadata Removal -> Plain Text -> Tokenization -> Words -> ...
The time and process requirements of each task may differ, which introduces the need to load balance, as well as the concept of the bottleneck, which is the slowest task in the chain.
Embarrassingly parallel: Problem which can be parallelized by simply allocating more hardware resources.
### Word Count with Map Reduce
Each thread can map a document of a word to a count, which after completion can be reduced to one map from each thread, usually with a parallel hash table.
## Memory Schemes
Multicore systems, ones which have the ability to compute multiple tasks at the same time in a shared memory environment are often latency oriented, with the start and stop time of results being minimized, as well as the time between results is minimized.
Manycore systems, ones which are often a large number of cores tasked with the same problem, in a shared memory environment are often throughput oriented, with the amount computation being higher amortized over a period of time, or focusing on longer running tasks/computation.
### Distributed Memory
The tasks are not within the same memory space, and do not share memory addresses, and there is no need for communication between nodes
## SIMD
TODO: Go and insert tables/data from slides
## Threads and Processes
Threads are fundamental units of execution, with their own program counter, and implemented in most operating system, are schedulable entities.
Processes are instances of a running program. Each process has its own memory space and cannot share memory between processes.
Starting threads are a bit simpler, as assigning a process needs to be registered with the OS as its own PID, as well as creation of virtual memory space by the OS.
## Multiprocessor Architecture Design
# Software Considerations
Programming languages use building blocks and their order of execution to make a program, based on functions with input and outputs.
JIT compilers can by using runtime data optimize for certain sub tasks. Juilia is JIT compiled to LLVM IR and then translated to machine code by LLVM.
## Task Graph Model
The main motivation for using this is for data dependancies, as we cannot use data that is not loaded.

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# Develop a theory of technological development.
What would you borrow from Bacon, Merton, and Kuhn to create your theory?
Paradigm shifts are norm in technology as opposed to the chaos that Kuhn described, due to the exponential nature of technological growth (in a broad sense). New tech thought/innovation leaders are similar to the most popular scientists in the age of science. In terms of competition technology is unbounded by the restraint of gifting knowledge, more focused on gaining wealth and hoarding knowledge for profit/power, with technological innovation concentrating on those with the most resources like big companies. Technologies are invented not to benefit the populous but to create wealth/power for the inventors.
# Defend one of the four theories of why the great divergence happened as the critical theory
Capitalism and Exploitation
Transitioned the ruling class from that of Divine Kings by birth and nobility, to that of wealth, often with overlap. Capitalism and exploitation brought about a search for cheap materials and labour. It promoted mobility of European populations by using external labour markets, often cheaper than European labour.

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# Aquaculture

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## Philosophy of Science
Francis Bacon believed that the previous study of science was flawed, as it believed that truth could be obtained through debate and philosophy. He envisioned a model of science based on experimentation and results, and study of the natural world.
This model was later applied to many disciplines in the 19th century, such as political science, social science, computer science and changed things again.
## Sociology of Science
Robert Burton showed us how the essence of scientific life is competitive to gain priority in discovery. This creates ambivalent attitudes in scientists and academia, as the system doctrine says that importance or glory is not the point of the ordeal, but the system itself re-enforces the reward system.
Databases changed how the field was studied, as now with everything being cataloged digitally, you could now very easily perform statistical analysis and examine how science was performed.
The study revealed that academia or science was a pyramid, with only a small number of scientists producing the most amount of research and only a small number of that research was cited in other research, i.e, important.
## History of Science
Thomas Kuhn came out with a book called "The Structure of Scientific Revolutions", which claimed that science must not focus on the individual scientists but on disciplinary communities that decide on the context of their research.
Scientists are to find the known not to discover the unknown as Kuhn says?
### Kuhn's Conclusions
Scientific Method's appeal to nature does not suffice to guide scientists to their most important decisions, i.e. you must have new ideas and cannot simply continue extenuated research
We cannot say science makes progress or moves closer to truth in passing through a revolution from one paradigm, to its successor.
Come back to this and review
## Gender and Science
# Industrial Revolution
Transition
- Factory System (important!): A transition from artisans who produced the whole product to an individual worker who did a fraction of the overall work to manufacture a product
- English working class (farmers to factory workers)
# For Test 2
Social Shaping of Technology Theory
Breakout group questions from 2025-03-26

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# Group 1
Women/Non-binary in STEM
Interesting things
- Statistics?
- Personal Experience
- Kahoot
- Discussion Questions