From 5b594852070434278c5778abcef4409d3690a55b Mon Sep 17 00:00:00 2001
From: Holden Rohrer
Date: Fri, 21 Aug 2020 17:31:51 -0400
Subject: more lectures
---
houdre/02_foundations | 72 +++++++++++++++++++++++++++++++++++++++++++++
markley/03_first_week_video | 30 +++++++++++++++++++
markley/04_journal | 12 ++++++++
rich/03_science | 27 +++++++++++++++++
4 files changed, 141 insertions(+)
create mode 100644 houdre/02_foundations
create mode 100644 markley/03_first_week_video
create mode 100644 markley/04_journal
create mode 100644 rich/03_science
diff --git a/houdre/02_foundations b/houdre/02_foundations
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--- /dev/null
+++ b/houdre/02_foundations
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+Convention:
+N = {0,1,2,...}
+N* = {1,2,3,...}
+
+HW problems 1.11 #1-4 (in book)
+
+The unit square, with #Omega = \infty, has probability zero for lines.
+
+Developing a single framework for discrete {heads, tails} and picking a
+point from [0,1].
+
+Ex:
+
+Probability of getting a prime number choosing at random from N*
+
+Def: Let Omega be a sample space. An event space E is a non-empty
+collection of subsets of Omega such that:
+ if A \in E, A^c \in E
+ Lemma Def: iff B \in S and B \not\in A, B \in A^c
+ if A_1,A_2,...,A_n \in E, then the union is in E.
+
+Def: An event is called *elementary* if its cardinality is 1
+
+In general, the power set of Omega (2^Omega = \bb P(Omega)) is the
+collection of all subsets of omega. (sometimes called complete/total
+event space)
+
+Trivial event space: {empty, Omega}
+
+Take Omega = {1,..,7}.
+E_1 = 2^Omega. #E_1 = 2^#Omega = 2^7.
+E_2 = { {3}, {1,2,4,5,6,7}, empty, Omega}. This is also a valid event sp
+
+In general, regardless of cardinality of Omega, we will take E = 2^Omega
+because all event spaces are subsets of the power set.
+
+N, N*, Q, Z, ...
+are infinite countable sets. There is a bijection between these sets and
+N.
+
+R is an infinite uncountable set. Rigorously defining Omega = R is very
+difficult. But this is outside the scope of this course.
+
+Def: A probability measure is a set function, usually denoted by P, from
+E to [0,+\infty] = R^+
+
+(i) P(Omega) = 1.
+(ii) P(Union of A_1...A_n) = \sum_i=1^n P(A_i) if A_1..A_n is pairwise
+disjoint.
+
+Def: Pairwise disjoint if A_i intersect A_j = empty for all i != j.
+
+Function:
+ P: E -> [0,+\infty)
+ For all A in E, there exists a unique P(A)
+
+Upside down A = for all
+Backwards E = there exists
+Backwards E ! = there exists a unique
+
+Review set operations, i.e. union, intersection, complementation,
+commutativity, distributivity, associativity
+
+For Omega finite or infinite,
+
+\sum_\Omega P({\omega_i}) = P(\Omega) = 1.
+P({\omega_i}) \geq 0.
+
+Uniform probabliity:
+ P({\omega_i}) = p_i = 1/#\Omega
+ Each element is equally likely.
+ If A \subset \Omega, P(A) = #A/#Omega
diff --git a/markley/03_first_week_video b/markley/03_first_week_video
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+Styles:
+ Written
+ Oral
+ Visual
+ Electronic
+ Nonverbal
+
+Topic:
+- Who am I
+ - Name, Major
+ - Hometown
+ - Why am I at tech
+ - ENGL 1102 w/ Dr Markley (focus?)
+- Weakest style of multimodal communication
+ - Structurally and overall quality
+ - *Challenge
+ - past experience if possbile
+ - overcoming
+ - a specific assignment
+
+My Presentation
+- Use music
+- Upload to Vimeo
+- Prefer dynamic shots
+- Use mild video editing
+- Visuals
+- Background, appearance
+
+ Script
+----------
diff --git a/markley/04_journal b/markley/04_journal
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+++ b/markley/04_journal
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+Assessment:
+- Sustained engagement
+ - Writing prompts provided
+
+- Relevance and quality
+ - Rhetorical strength and images
+
+- Relation to major class topics
+
+- Knowledge of readings
+
+- Effort (design)
diff --git a/rich/03_science b/rich/03_science
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+++ b/rich/03_science
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+Is Poli. Sci. a science?
+- John Lewis Gaddis:
+ - Imagined prediction vs. replicating/reproducing results is
+ intuitive difference
+ - Five standards:
+ - Parsimony: smallest laws that predict human behavior
+ - Poli. Sci. has some laws, but thety aren't strictj
+ - Variables
+ - Nominal: positive or negative (did or didn't happen)
+ - Ordinal, ordered preferences
+ - Nonlinear, subjective
+ - Continuous (very wide variation, more scientific)
+ - political science has fewer, making it less replicate.
+ - Accounting for change
+ - Cold War wasn't accurately predicted
+ - Predictions by poli. sci. are typically bad
+ - Commensurability
+ - Common results and definitions
+ - Political Science doesn't have singular, consistent
+ definitions (see: democracy, war)
+ - Objectivtiy
+ - Poli. Sci. is often subjective and requires bias for
+ proper analysis
+ - But so are hard sciences like medicine.
+ - Concludes that poli. sci is a science because it
+ - tries to obtain these goals (it is very young so less adv)
+ - predicts or prepares
--
cgit