Dept. of Computer Science and Engineering,  MSC Programme in Computer Science

CMSC5707 Advanced Topics in Artificial Intelligence

This web page contains information about the course CMSC5707: Advanced Topics in Artificial Intelligence (course description)
This course will cover selected topics from: advanced pattern recognition, neural networks, expert systems and fuzzy systems, evolutionary computing, learning theory, constraint processing, logic programming, probabilistic reasoning, computer vision, speech processing, and natural language processing.
Edited:  13 Oct. 2018

Official webpage of cmsc5707

Date: From 7 Sept.  2018 (Fri)
Time: 7:00pm - 10:00pm
Venue:  Venue: YIA 201, CUHK (new from 21 Sept. 2018) Campus (Map)
Final Exam: Date and venue can be found at the Official webpage of cmsc5707 ( the link is shown above).  The final examination will cover all materials from chapter 1 to 9.

No. of Enrollment: 60
TAs of part 1 : Zhiliang Zeng (zlzeng@cse),  Calvin Kam (hckam@cse),
 
Final examination will cover all materials from chapter 1 to 9

Honesty in Academic work
The part taught by Prof. KH Wong
Titles: Teaching materials will be updated regularly
 Week
 Topics
 Additional
information
 wav sounds/ Matlab code
 assignment
Overview




Ch1: Introduction to audio signal processing  1
 Week1
 tz1, tz2, sor1, violin3x
A4_oboe  ,   trumpet  ,   sor1,
A4_violin  ,A5_flute 


Ch2: Pre-processing of audio signals

 2
 Time & frequency domain processing, Fourier transform, spectrogram

Ch3: Feature extraction from audio signals



 2
 Filtering, LPC , Cepstral coefficients
Assignment1( in https://blackboard.cuhk.edu.hk )
23:59, deadline 14 Oct 2018
Tutorial file: CMSC5707assignment1_audio.pptx
Ch4: Feature representation and compression:Vector quantization

 2/3
 VQ, K-means

Ch5: Speech Recognition

 3
 End point detection, per-emphasis, distortion measures, dynamic programming 5707_revision_Q&A_audio.doc

Ch6: Classification using Adaboost,
 4
Classifiers, boosting


Ch7: Face detection 4
 Face features, Attentional cascade,

Ch8: Neural Networks

 5
 Feed-forward, feed-backward networks, training and recognition



Ch9: Convolution Neural Network CNN
 6
 Convolution Neural Network CNN

The final examination will cover all materials from chapter 1 to 9.



Assignment2( in https://blackboard.cuhk.edu.hk )
23:59, deadline 4  Nov. 2018
Teaching time table:

Time table 2018, Fridays

7.9 (KH Wong 1)

14.9 (KH Wong 2)

21.9 (KH Wong 3)

28.9 (KH Wong 4)

5.10 (KH Wong 5)

12.10 (KH Wong 6)

19.10 (KS Leung 1)

26.10 (KS Leung 2)

2.11 (KS Leung 3)

9.11 (KS Leung 4)

16.11 (KS Leung 5)

23.11 (KS Leung 6)

30 .11 (EXAM)

Revision exercises can be found at https://blackboard.cuhk.edu.hk/


Advanced topics (reference only , The followings will not be included in the examination) References