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Week
|
Date
|
Topic
|
Note
|
|
1
|
9/16
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Course introduction
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|
|
Overview
of machine learning/data mining. Language, Platforms, Tools, Datasets Let’s
use Scikit-learn to demo a simple example.
|
|
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2
|
9/23
|
Input: Concepts, Instances/Examples, Attributes/Features.
Output: Tables, Liner models, Trees, Rules, Instance-based representation,
Clusters, Neural networks
|
|
|
Training and testing, Prediction, Cross
validation, Performance metrics
|
Lab 0 out
|
|
3
|
9/30
|
Decision trees, Random forests, Classification rules
|
|
|
Linear regression, Logistic regression,
Naïve Bayes
|
|
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4
|
10/7
|
K-nearest neighbors (KNN), K-means
clustering
|
|
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Neural networks, deep learning
|
|
|
5
|
10/14
|
Convolutional neural networks (CNN)
|
Lab 1 out
|
|
Support vector machines (SVM)
|
|
|
6
|
10/21
|
Kernel
|
Team’s membership due
|
|
Data transformation
|
|
|
7
|
10/28
|
Principal Component Analysis (PCA)
|
Paper assignments out
|
|
Reinforcement
learning (RL)
|
|
|
8
|
11/4
|
Deep reinforcement learning (DRL),
|
Lab 1 due
Lab 2 out
|
|
Deep Q-Network (DQN)
|
|
|
9
|
11/11
|
Bayesian Networks
|
Team’s project topic due
|
|
|
Probabilities models
|
|
|
10
|
11/18
|
Mid-term exam (2 hours,
closed book)
|
|
|
|
|
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11
|
11/25
|
Network traffic prediction
Network traffic routing
Network resource management
Network QoS and QoE management
Network congestion control
Network fault detection
|
Starting this week,
students will present assigned papers in the class. Each student has about 25
~ 35 minutes to present the paper, depending on the length of the paper.
Q&A is 5 ~ 10 minutes.
Lab 2 due
|
|
|
|
|
12
|
12/2
|
Network
fault prediction
|
|
|
Network
Security: Intrusion and anomaly detection
|
|
|
13
|
12/9
|
(Attending GLOBECOM 2022, will use 1/6 to make up this week)
Network
Security: Spam emails filtering
|
Team’s mid-term project
report due (5 pages long)
|
|
ML
applications to software-defined networks (SDN)
|
|
|
14
|
12/16
|
ML
applications to Internet of Things (IoT)
|
|
|
ML applications to online social networks and in-network
computing
|
|
|
15
|
12/23
|
ML applications to mobile and wireless networks
|
|
|
Final project presentation (I)
|
Starting today, students will present final project
results in the class. Each team has 15 minutes for the presentation and 10
minutes for Q&A.
|
|
16
|
12/30
|
Final
exam (submit a 10-page report)
|
|
|
Final project presentation (II)
|
|
|
17
|
1/6
|
Final project
presentation (III)
|
Final exam report (10
pages long) due 1/6 (Fri.) 23:59
|
|
Final project presentation
(IV)
|
|
|
18
|
1/13
|
Final project presentation
(V)
|
|
|
Semester ends (No class
today)
|
Final
project report (10 pages long) due 1/20 (Fri.) 23:59
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