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Teaching |
I am supervising students who conduct research in information retrieval and natural language processing. For both research directions, taking a look at papers at recent conferences (such as SIGIR, CIKM, WSDM, EMNLP, ACL) and ongoing benchmark efforts (MSMarco, SQUAD 2.0, GLUE, decaNLP, TREC) will help to figure out a topic of interest.
I also have a set of topics that I am ready to give away:
- Evaluate the usability of Macaw, a recently inroduced Conversational Information Seeking Platform, possibly extend it and run an interactive IR study with it.
- Extend SearchX, a collaborative search engine we built in-house, with shared workspace capabilities and run an interactive IR study with it.
- Analyze the effectiveness of multi-task learning for different IR tasks.
- Evaluate the use of efficient context-sensitive embedding approaches (variations of BERT & Co that do not rely on hundreds of millions of parameters) for different IR tasks and under performance constraints.
- Design, build and evaluate an extension to Visual Studio Code that enables information seeking for programming tasks directly in the IDE.
- Investigate UI elements that make collaborative search in the mobile setting (where screen space is a premium) a real possibility.
Below are the resources I have developed for my courses (some are more up-to-date than others): Big Data Processing, Web and Database Technology and Information Retrieval.
Since 2013/2014 I have been teaching the second year Bachelor course Big Data Processing at TU Delft (with 2016/17 being the last time for now). The course covers a range of technologies in the Hadoop ecosystem after a short excursion into the streaming world; I created the material based on a number of great books, including Mining of Massive Datasets, Data-Intensive Text Processing with MapReduce, Hadoop: The Definite Guide, Programming Pig and ZooKeeper.
- Introduction
- Streams I
- Streams II
- MapReduce
- HDFS/GFS
- Scheduling
- Algorithm design for MapReduce
- Pig I
- Pig II
- Graph algorithms
- Giraph
- ZooKeeper
- 2 more lecture on Spark completed this course.
- Assignment 1: Streaming
- Assignment 2: Streaming and Hadoop
- Assignment 3: Hadoop
- Assignment 4: Pig data
- Assignment 5: Pig data
- Assignment 6: Giraph
- Assignment 7: Spark
- 24 questions on streaming
- 32 questions on MapReduce/Hadoop
- 10 questions on graphs and Giraph
- 12 questions on Pig/Pig Latin
Since 2013/2014 I have also been teaching the first year Bachelor course Web and Database Technology (known as TI1506 or CSE1500) at TU Delft, together with Alessandro Bozzon. I teach the Web technology part, which turned out to be quite a challenge due to the wide variety of skill sets our incoming students possess (some work as Web developers, others have never written a single line of HTML before the start of this course).
In the 2018/19 edition, we had roughly 900 students taking the course and so I finally bit the bullet and started making extensive lecture transcripts (with self-check questions, demo code, assignments, etc.), split the materials into GitHub repos and created a good looking website: https://chauff.github.io/Web-Teaching/.
Feel free to use the materials with acknowledgement.
Needless to say that this is ongoing work at all times - web tech changes quickly.
In 2019/20 I co-taught the MSc Information Retrieval course with Nava Tintarev, splitting it along an IR and NLP line. The course setup, slides and group projects can be found here.