Courses

openEuler MOOC (Supported by CMOOC and Huawei).    (as a part of the Operating System MOOC taught by Prof. Bin Luo)

Here are related resources: 【Videos】and【Experiment Manuals】 (in Chinese)

Cloud Computing.    (2017~2019 co-taught with Professor Tongwei Ren)

Undergraduates (Fall: 2019, 2020,2021【Videos】(in Chinese))
Postgraduates (Fall: 2017, 2018, 2019, 2020)
Useful Tool Links:

☆☆Here are some useful getting started documents (in Chinese) and demo projects for this course.
☆☆Part A. Spark Setup Instructions. Provided by: Undergraduates, 2018.
☆☆1. Yufeng Su: three nodes of CentOS 7 [.PDF]
☆☆2. Ziyuan Zhuang: three nodes of Ubuntu 18.04 [.PDF]
☆☆3. Zongyao Xue: three nodes of Ubuntu 16.04 [.PDF]
☆☆4. Yihui Wei: two nodes of Ubuntu 16.04 on AliYun [.PDF]

☆☆Part B. Spark Demo Projects. Provided by: Xiaodong Hao and Hui Jiang, Undergraduates, 2017.
☆☆1. Overall Introduction of Demo Projects [.PPTX]
☆☆2. Streaming Program: [.scala]. Data: [Part1.zip], [Part2.zip], [Part3.zip], [Part4.zip].
☆☆3. GraphX Program: [.scala], [MapAccumulator.scala]. Data: [.zip].
☆☆4. MLlib Program: [JobAdvice.scala]. Data: [Part1.zip],[Part2.zip].

Algorithm Design.    (introduce common algorithm design ideas based on exercises)

Postgraduates (Winter: 2017, 2018; Fall: 2019)
The Online Judge for this course. (Nanjing University campus only)

Practice of Data Science System Development.    (co-taught with Professor Feng Liu)

Undergraduates (Fall: 2020)
In order to gain valuable requirements of data processing systems, you should first have the practice of related system with concrete applications. Therefore, the part I am responsible for is divided into two stages: Data Processing Applications & System Development.

☞☞ Applications are related to: Cloud Computing, Big Data, Natural Language Processing, Machine Learning, et.al.
☞☞ Platforms to be used are: OpenStack, Spark, Tensorflow, et.al.

Selected Graduation Projects [View More]