Dept. of Computer Science and Engineering,  MSC Programme in Computer Science,  Time table2023-4

CMSC5707 Advanced Topics in Artificial Intelligence

Course Professor: Kin Hong Wong

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: 3 Oct. 2024

Blackboard Web based support : https://blackboard.cuhk.edu.hk

CMSC5707 - Term 1 - Wed (6:30-9:30pm) from 4 Sept. 2024,  Teaching time table 2024-25
Venue: YIA_LT4.  See classroom_info and cuhk-campus-map
Dates: Every Wed. (12 lectures).

Data for assignments. Tools for assignments: MATLAB online , COLAB,  Colab_tutorial,  keras_examples , SKLEARN,  anaconda(python system)
data57074_1.zip

Final Exam: Date: Wed. 11 Dec. 2024.
Venue:
WMY 406 (if your surname starts with A-L.),
WMY 407 (if your surname starts with M-Z.). See classroom_info and cuhk-campus-map.

The exam will start from 6:45pm (please come to the classroom at 6:30pm).

The exam will last for 2 hours, it is a closed-book exam and no cheat sheet allowed. However, the CMSC5707_formulas.docx (draft will be updated later) will be printed and attached to your exam question paper.    We will provide each student an answer book, supplementary sheets and scrap paper for calculation. Materials in the appendices of lecture notes will not be included in the exam. A non-programmable calculator can be used. We accept calculators that are (or similar to that) in the list 
Closed-book exam, no cheat sheet. A non-programmable calculator can be used. We accept calculators that are in (or similar to that) the list https://www.hkeaa.edu.hk/en/IPE/hkia/index.html.

See AVSU  and cuhk-campus-map

Tentative timetable: (reference only):
2024
Titles: Teaching materials will be updated regularly
 Week/date
(tentative)
 Topics
 Additional
information
 wav sounds/ Matlab code
 Assignments
Overview




Ch1: Introduction to audio signal processing  1(4/9) Time/frequency signals,Spectrogram, Mel Scale Cepstral coeff., MFCC
octave_guide tz1, tz2, sor1, violin3x
A4_oboe  ,   trumpet  ,   sor1,
A4_violin  ,A5_flute 
num1, num5
Ch1 Continues

2 (11/9)
 Vector quantization and K-means,
Dynamic programming for speech recognition

No lecture (Holiday)
 (18/9)
 Mid-Autumn festival


Ch2 : ensemble methods.

3(25/9)

 Classifiers, boosting

Assignment1( released at https://blackboard.cuhk.edu.hk )
Ch3 : Face detection

 4(2/10)

 Face features, Attentional,cascade,


Ch 4 : Neural Networks

 5(9/10)
4
 Basic neural network and training

Ch 5 : Convolution Neural Network CNN

 6(16/10)

 Convolution Neural Network CNN Tensorflow tutorials
5707_tf_keras.pptx

https://colab.research.google.com/
Assignment2( To be released at https://blackboard.cuhk.edu.hk )
Ch 6 : AutoEncoder 7(23/10)

 Classical and Variational AutoEncoder

Ch 7 : RNN_LSTM
 		8(30/10)

 Recurrent Neural Net, Long short-Term Memory

Ch 8 : Word representation and seq2seq

9(6/11)

Word embedding, Machine translation,


Assignment3 (To be released at https://blackboard.cuhk.edu.hk )
  Tutorial_LSTM_music_genre_classification.docx
Ch 9  : Transformer
 10(13/11) The transformer model


Ch10 : Decision tree 11(20/11)

Decision tree using Gini and information gain by entropy
 https://scikit-learn.org/stable/

Ch 11 : Fuzzy 12(27/11)

 Fuzzy inference systems


No lecture 13 (4 /12)
self revision



Final Exam, time/venue: see above














The followings are other advanced topics
(not to be covered in the final Exam)
 CTE Professor : Dr. K.H. Wong     ( khwong_at_cse.cuhk.edu.hk )

Marking scheme and Exams

Important information


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