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55 docs tagged with "OMSCS"
View all tagsApplying UML and Patterns - Part 1 Introduction
Chapter 1 Object Oriented Analysis and Design(OOA/D)
Applying UML and Patterns - Part 2 Inception
Chapter 4 Inception is Not the Requirements Phase
Applying UML and Patterns - Part 3 - Elaboration Iteration 1 - Basics
Chapter 8
Applying UML and Patterns - Part 3 Elaboration Iteration - Special Topics
Chapter 40
Applying UML and Patterns - Part 4 Elaboration Iteration 2 - More patterns
Chapter 23 More Patterns
Applying UML and Patterns - Part 5 - Elaboration Iteration 3 - Intermediate Topics
Chapter 27
Computational Learning Theory
* Defining learning problem
CS 6601- AI - Game Playing
Game Playing
CS 6601- AI - Machine Learning
Machine Leraning
CS 6601- AI - optimization
Text
CS 6601- AI - Planning under uncertainty
Text
CS 6601- AI - Probabilistic Reasoning over Time
Text
CS 6601- Artificial Intelligence (Spring 2023)
Schedule for CS 6601: Artificial Intelligence (Spring 2023)
CS-6035 Intro to Information Security
Home page
CS6210-AOS
Giant-Scale Services
CS6211 - System Design for Cloud Computing
Review
CS6300 SAD - Android
Linux kernel based system
CS6300 SAD - Introductions
Intro and Overview
CS6300 SAD Agile Development Methods
Cost of change
CS6310 SAD Text Resources
Text Resources (resources prepended with "[*]" are downloadable.)
CS6310 Software Architecture and Design outlines
Topics
CS6310 SWEBOK notes
Chapter 2
CS6310 Syllabus
| Time | Activity | Required Reading |
CS6515-Intro-to-Graduate-Algorithms
Reference
CS7210 Distributed Computing
Review
CS7641-Introduction
ML is the ROX Playlist
CS7641-Machine Learning
Machine Learning algorithm
CS7641-SL
Classification vs regression
CS7646-ML4T
Machine Learning for Trading
CSE 6242 Data & Visual Analytics-Resource
Javascript Resources
CSE6242 Data & Visual Analytics
Data & Visual Analytics
Decision Trees
Decision Trees (DTs)
Deep learning
In an interview last week, AI pioneer Geoff Hinton said -
Fundamentals of Software Architecture
19. Architecture Decisions
Graduate Introduction to Operating Systems
Projects
Intro-to-software-Arch
References
Intro-to-software-Arch
Abstract
Introduction
Term Definition
Machine Learning Syllabus
Course Summary
OMSCS
References
P1L1 The Security Mindset
Definition
P1L2 Software Security
Required Reading: The protection of information in computer systems
Q-learning algorithm
Introduction
Refactoring
What is?
Reinforcement Learning introduction
Definition
Research
Turing Award
Research Resource
Search Engine
Reviews
The format: 4 projects, 3 exams, 2 paper summaries
Software Architecture(SWA)
Interview of Nenad Medvidovic
Software Verification
Verification approach
Supervised ML
Supervised ML problems
UML
Overview and History
Unified Software Process
Key featuers
unsupervised Learning
Problems