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c
cs375-introducti -> cse-311-foundati
csc2-omb-s-revis -> csc271-database-
CSC271 Database Systems
CSC2 OMB’s revised Credit Subsidy Calculator for the 2009 President’s Budget
CSC2 OMB’s revised Credit Subsidy Calculator for the 2009 President’s Budget
CSC2 OMB’s revised Credit Subsidy Calculator for the 2009 President’s Budget
CSC200-04
CSC2001 Data Structures and Algorithms 2012-2013
CSC201 การวิเคราะห์และออกแบบขั้นตอนวิธี Analysis and Design of Algorithms
CSC201 Analysis and Design of Algorithms P and NP Problems
CSC201 Analysis and Design of Algorithms
CSC204 – Programming I
CSC205 Jeffrey N. Denenberg Lecture #3
CSC208 Management Information System (MIS)
CSC208 Management Infromation Systems
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC209 Web Programming
CSC210 – Scientific Computing
CSC2100B Data Structure Tutorial 1
CSC2100B
CSC2100B Tutorial 7
CSC2100B Tutorial 7
CSC2108: Automated Verification or Everything you Wanted to Know about Model-Checking
CSC2108 Lazy Abstraction on Software Model Checking
CSC211 Data Structures
CSC2110 Discrete Mathematics Tutorial 5 GCD and Modular Arithmetic
CSC2110 Discrete Mathematics Tutorial 6 Chinese Remainder Theorem, RSA and Primality Test
CSC2110 Logic
CSC2110 Tutorial 11
CSc212 AB Data Structures Lecture 10
CSC212 – Computer Organization and Design
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure
CSC212 Data Structure - Section AB
CSC212 Data Structure - Section AB
CSC212 Data Structure - Section EF
CSC212 Data Structure - Section FG
CSC212 Data Structure - Section FG
CSC212 Data Structure - Section FG
CSC212 Data Structure - Section PR
CSC212 Data Structure - Section RS
CSC212 Data Structure - Section RS
CSC212 Data Structure - Section RS
CSC2125 – Advanced Topics in Software Engineering: Program Analysis and Understanding Fall 2006
CSC 2260 Operating Systems and Networks
CSc2310 tutoring session, week 7 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSc2310 tutoring session, week 8 Fall, 2012
CSC238 Object Oriented Programming
CSC2405: System Administration
CSC241: Object Oriented Programming
CSC241: Object Oriented Programming
CSC241: Object Oriented Programming
CSC2510 - Computer Organization
CSC2510 - Computer Organization
CSC2510 - Computer Organization
CSC2510 - Computer Organization
CSC2515 Fall 2007 Introduction to Machine Learning Lecture 1: What is Machine Learning?
CSC2515 Fall 2007 Introduction to Machine Learning Lecture 2: Linear regression
CSC2515 Fall 2007 Introduction to Machine Learning Lecture 3: Linear Classification Methods
CSC2515 Fall 2007 Introduction to Machine Learning Lecture 5: Mixture models, EM and variational inference
CSC2515 Fall 2008 Introduction to Machine Learning Lecture 11a Boosting and Naïve Bayes
CSC2515 Fall 2008 Introduction to Machine Learning Lecture 8 Deep Belief Nets
CSC2515: Lecture 7 (prelude) Some linear generative models and a coding perspective
CSC2535: 2011 Lecture 5b Object Recognition and Information Retrieval with Deep Belief Nets
CSC2535 2013: Advanced Machine Learning Lecture 10 Recurrent neural networks
CSC2535: 2013 Advanced Machine Learning Lecture 3a: The Origin of Variational Bayes
CSC2535: 2013 Advanced Machine Learning Lecture 3a: The Origin of Variational Bayes
CSC2535 2013 Advanced Machine Learning Lecture 4 Restricted Boltzmann Machines
CSC2535: Advanced Machine Learning Lecture 11b Adaptation at multiple time-scales
CSC2535: Computation in Neural Networks Lecture 1: The history of neural networks
CSC2535: Computation in Neural Networks Lecture 12: Representing things with neurons
CSC2535: Computation in Neural Networks Lecture 5: Free Energy and Variational Methods
CSC2535: Computation in Neural Networks Lecture 6: Variational Methods
CSC2535: Computation in Neural Networks Lecture 7: Independent Components Analysis
CSC2535: Computation in Neural Networks Lecture 8: Hopfield nets
CSC2535: Lecture 3: Generalization
CSC2535 Lecture 4 Boltzmann Machines, Sigmoid Belief Nets and Gibbs sampling
CSC2535 Lecture 4 Boltzmann Machines, Sigmoid Belief Nets and Gibbs sampling
CSC2535 Spring 2013 Lecture 2a: Inference in factor graphs
CSC263 Tutorial 1
CSC264 Modelling and Computation 10. Modelling State
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
CSC271 Database Systems
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