My own family’s website. Front end development, Figma prototype, and next.js frame work

Omen Pavilion

2024 Inter-Uni Programming Contest 3rd

A simple website prototype

L07 Unsupervised Learning

L06 Neural Learning

5 Simple ensembles
Bagging, Boosting
Random Forest, AdaBoost

L05 Ensemble Learning

L04 Kernel Method (核方法)

Wireless Networks
Basics, wireless links and characteristics, IEEE 802.11 LAN

Security
Basics, Symmetric and Asymmetric Cryptography, Message Integrity,
Authentication, Securing email

L06 Security

L03 Tree Learning

Overview
Error correction detection
multiple access protocols
switched LAN,
MAC addressing, ARP, Ethernet, Switches
Synthesis of protocol layers

L05 Link Layer

data plane, 
Internet Protocol: datagram format, fragmentation, 
IPv4 addressing, network address translation;  IPv6,
control plane,
routing protocols: link state (dijkstra), distance vector
ICMP

L04 Network Layer: Data Plane

Discriminative:
     Linear classification, Basic Linear Classifier
Generative:
     Nearest Neighbor, KNN, Weight KNN
Bayes

L02 Classification

Principles,
Sockets(multiplexing / demultiplexing)
UDP
RDT (1.0 → 3.0); Go back N, SR
TCP!
TCP-Tahoe, TCP-Reno

L03 Transport Layer

Principles, Web/HTTP
E-mail (SMTP only)
DNS, P2P
Video streaming and CDN

L02 Applications

Packet Switching / Circuit Switching
Delay, Loss, Throughput
Protocol Layering

L01 intro_networks

Overview, 
Regression, 
MSE (loss), 
Gradient descent

L01 Regression

Statistical Techniques for data analysis
Bais-Variance Tradeoff
Evaluation methods
recall / sensitivity / completeness / true positive rate (TPR)

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