Dept. of Computer Science and EngineeringMSC Programme in Computer Science

CMSC5707 Advanced Topics in Artificial Intelligence

This web page contains information about the course CMSC5707: Advanced Topics in Artificial Intelligence
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: 4 Sept., 2021

CMSC5707 - Term 1 - Wed (6:30-9:30pm)
Venue: CYT-LT1A (GΧͼ Cheng Yu Tung Building (CYT)). See AVSU  and cuhk-campus-map
Dates: Every Wed. (12 lectures).

Professor : Dr. K.H. Wong     ( khwongcse )
Tutors  (for programming assignments) : Dennis leung ,  email: cwleungcse

Final Exam: (Wed) 8 Dec., 2021.(6:45-8:45pm)

Web based support : https://blackboard.cuhk.edu.hk
Quota: 60
 
Tentative timetable: (reference only):
Titles: Teaching materials will be updated regularly
Week/date
Topics
Additional
information
wav sounds/ Matlab code
Assignments
Overview





Ch1: Introduction to audio signal processing  1(8/9)

tz1, tz2, sor1, violin3x
A4_oboe  ,   trumpet  ,   sor1,
A4_violin  ,A5_flute 


Ch2: Pre-processing of audio signals

2 (15/9)
Time & frequency domain processing, Fourier transform, spectrogram

Ch3: Feature extraction from audio signals

2 (15/9)
Filtering, LPC , Cepstral coefficients

Ch4: Feature representation and compression:Vector quantization

2/3(29/9)
VQ, K-means

Ch5: Speech Recognition

3(29/9)
End point detection, per-emphasis, distortion measures, dynamic programming 5707_revision_Q&A_audio.doc

Assignment1( released at https://blackboard.cuhk.edu.hk )
  Tutorial Files:

Ch6: ensemble methods. Classification using Adaboost,
4(6/10)

Classifiers, boosting



Ch7: Face detection 5(13/10)
Face features, Attentional cascade,


Ch8: Neural Networks

6(20/10)
Feed-forward, feed-backward networks, training and recognition https://sites.google.com/site/hongslinks/tensor_windows




Ch9: Convolution Neural Network CNN
7(27/10)
Convolution Neural Network CNN Tensorflow tutorials
5707_tf_keras.pptx

Assignment2( To be released at https://blackboard.cuhk.edu.hk )

Ch 10. Auto-encoder
8(3/11)
Auto-encoder
5707_likelihood.pptx


Ch11. RNN_LSTM
9(10/11)
Recurrent Neural Net, Long short-Term Memory



Ch12. Word representation and seq2seq
10(17/11)
Word representation, Machine translation




Ch13. Decision tree
11(24/11)
Decision tree



Ch14. SVM 12(1/12)
Support vector machine







Assignment3 (To be released at https://blackboard.cuhk.edu.hk )
 


Final exam, see above








Assignment4 (To be released at https://blackboard.cuhk.edu.hk )
Other advanced topics (not to be covered in the final Exam)

Marking scheme and Exams

Important information

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