Advanced Network Management (Spring 2024)

Course Instructor

Dan Pei
Associate Professor
Department of Computer Science and Technology
Email: peidan(at)tsinghua(dot)edu(dot)cn
Office: East Main Building 9-319

Class Time and Location

Class Time: Wednesday 9:50am – 12:15pm (please see detailed schedule in the course syllabus below) 
Location: 三教3507 (Room 3507, Teaching Building 3)


Project: Time Series Forecasting Paper Reading and Reproduction

The entire class collaboratively completes a time series forecasting benchmark. Each student will be assigned papers related to time series forecasting. After carefully reading the papers, students are required to reproduce the code and complete a benchmark report.

Grading Policies

  1. Attendance: 10%
  2. Paper Reading & Presentation: 20%
  3. Algorithm Reproduction & Project Presentation: 40%:
  4. Report Writing: 30%

Syllabus:

Week Date Topic, Papers, Slides and Reading List Algorithms & Techniques
1 Feb 28 (9:50am-12:15pm) Course Introduction
2 Mar 6 (9:50am-12:15pm) Quality of Experience of Video streaming Data Visualization

Correlation, Regression, Information gain, Decision trees, Regression trees

3 Mar 13 (9:50am-12:15pm)
4 Mar 20 (9:50am-12:15pm)
5 Mar 27 (9:50am-12:15pm) KPI Anomaly detection Time series Algorithms.

Random Forests

Deep Generative Models (VAE & GAN)

Deep Sequence Learning

Transfer Learning

Transformer

6 Apr 3 (9:50am-12:15pm)
7 Apr 10 (9:50am-12:15pm) Foundation Model for KPI Forecasting
8 Apr 17 (9:50am-12:15pm) Log Parsing & Log Anomaly Detection

Similarity

Learning From Text

SVM

PCA

Logistic Regression

Clustering

Word2Vec

9 Apr 24 (9:50am-12:15pm)
10 May 1 (No class due to school holidays)
11 May 8 (9:50am-12:15pm) Log Foundation Model

InstructGPT

12 May 15 (9:50am-12:15pm)
13 May 22 (9:50am-12:15pm) Applications of Ops Foundation Model: Root Cause Analysis, Outage Understanding

Agent

Retrieval Augmented Generation

14 May 29 (9:50am-12:15pm)
15 Jun 5 (9:50am-12:15pm)
16 Jun 12 (9:50am-12:15pm) Project Presentation

Course Information

Course Number
80240663

Credit
3

Required text
None.

Reference texts
《Data Science for Business–What you need to know about data mining and data-analytical thinking》Foster Provost & Tom Fawcett

MIT 6.S191 Introduction to Deep Learning 》 with video and slides.

《Site Reliability Engineering –How Google Runs Production Systems》, by Betsy Beyer, Chris Jones, Jennifer Petoff & Niall Richard Murphy

Prerequisites
You are expected to be familiar with at least one programming language.


Course Assistant

Zhe Xie
Email: xiez22(at)mails(dot)tsinghua(dot)edu(dot)cn


Previous Courses


 
 
 
Scroll Up