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Class Notes for Computer Science at University of California - Irvine

COMPSCI 171 Lecture Notes - Lecture 6: A120 Road, Utility, Expected Utility Hypothesis
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CS 171 - Lecture 6 - Probability Uncertainty Randomness Overwhelming complexity Lack of knowledge Probability gives 1. A natural way to describe our assumptions 2. Rules for how to combine information Let At = leave for ai...

Computer Science
COMPSCI 171
LATHROP, R
COMPSCI 171 Lecture Notes - Lecture 3: Iterative Deepening Depth-First Search, Closed List, Open List
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CS 171 - Lecture 3 - Uninformed Search Uniform-cost search is like dijkstras algorithm Bidirectional search - search both sides until you meet at the middle *Summary of algorithms expected to know will be on a test at some...

Computer Science
COMPSCI 171
LATHROP, R
COMPSCI 171 Lecture Notes - Lecture 1: Rational Agent, Turing Test, Ibm System P
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CS 171 - Lecture 1 - Introduction to Artificial Intelligence What is Artificial intelligence? science and engineering of making intelligent machines related to the task of using computers to understand human intelligence D...

Computer Science
COMPSCI 171
LATHROP, R
COMPSCI 171 Lecture Notes - Lecture 4: Admissible Heuristic, Consistent Heuristic, Search Algorithm
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CS 171 - Lecture 4 - Heuristic Search: GBFS, A* Informed (or heuristic) search Problem-specific heuristics to improve efficiency Best-first, A* (and if needed for memory limits, RBFS, SMA*) Techniques for generating heuris...

Computer Science
COMPSCI 171
LATHROP, R
COMPSCI 171 Lecture Notes - Lecture 2: Search Algorithm, Problem Solving, Solution Set
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CS 171 - Lecture 2 - State Space Representations and Search Algorithms Search Formulate what to do as a search problem If no solution in the current search space: Use search to find a space that does contain a solution Sol...

Computer Science
COMPSCI 171
LATHROP, R
COMPSCI 132 Lecture Notes - Lecture 1: Structured Interview, Unstructured Interview
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- Guidelines for questionnaire design Select representative sample of people and provide motivation for responding Make sure questions and answers are unbiased and unambiguous Ask the same things in different ways- check i...

Computer Science
COMPSCI 132
Athina Markopoulou
COMPSCI 132 Lecture Notes - Lecture 2: Requirements Elicitation, Stakeholder Analysis
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Stakeholders- (Preview) SRS: Systemssoftware, requirements, specifications document - What are the two parts of requirements elicitation? Domain understanding Elicitation - What are some popular elicitation techniques? Que...

Computer Science
COMPSCI 132
Athina Markopoulou
COMPSCI 132 Lecture Notes - Lecture 5: Use Case
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Further Analysis and Modeling - Two major goal types: Behavioral and soft - What types of goals should be the leaf nodes in a goal diagram? - Model-based approach to RE Model = abstract representation of the target system ...

Computer Science
COMPSCI 132
Athina Markopoulou
COMPSCI 133 Lecture Notes - Lecture 2: Cover Letter
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Proposal - Target: - Managers who make the decisions on feature implementation - Third person very professional - Document (not a personal statement) Table of contents etc. - Goal: Sell your change to decision makers How i...

Computer Science
COMPSCI 133
Magda El Zarki
COMPSCI 133 Lecture Notes - Lecture 1: Cover Letter, Opinion Piece
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- Writing Style The way an author chooses to write to their audience target Audience is always important - Style Diction: Word choices and vocabulary (influenced by your targetaudience) Tone: The overall attitude of the pi...

Computer Science
COMPSCI 133
Magda El Zarki
COMPSCI 133 Lecture Notes - Lecture 1: Web Application, Persuasive Writing
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101816 System Instructions: - Doesnt need to be double-spaced but should be about 3 pages of double-spaced content - Can use figures as references Should rely on text descriptions with figures as supplement - Listdefine co...

Computer Science
COMPSCI 133
Magda El Zarki
COMPSCI 177 Lecture 7: 177 425
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Scanned by CamScanner Scanned by CamScanner Scanned by

Computer Science
COMPSCI 177
Richert Wang
COMPSCI 122A Lecture Notes - Lecture 2: Unique Key, Compound Key, Data Integrity
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Lecture 2 Overview of Database Design ● Conceptual design: ○ Entities and relationships? ○ What info about these should we store? ○ Integrity constraints or business rules? ○ D...

Computer Science
COMPSCI 122A
Carey
COMPSCI 122A Lecture Notes - Lecture 1: Courseinfo, Physical Data Model, Conceptual Schema
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Lecture 1 ● What’s a database? ○ A very large, integrated collection of data ● Usually a model of a real-world enterprise ○ Entities (students, courses, facebook users) with attributes ...

Computer Science
COMPSCI 122A
Carey
COMPSCI 122A Lecture Notes - Lecture 2: Unique Key, Data Integrity, Compound Key
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Conceptual design: (ER Model used at this stage) ● What are the entities and relationships in the enterprise? ● What information about these entities and relationships should we store in the database ● Wha...

Computer Science
COMPSCI 122A
Michael Carey

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