The course moved from its web presentation to IS MU in 2011. Please look if you would like to take a sneak peek at the 2024 all-in-one teaching materials and the topics we will discuss in the course. However, this interactive syllabus is this course's primary source of information.
2024-03-19: Submissions due for the first project
2024-03-26: Peer reviews due for the first project
2024-05-12: Submissions due for the second project
2024-05-19: Peer reviews due for the second project
Here are materials from the previous runs of the course: spring 2019, spring 2020, spring 2021, spring 2022 and spring 2023
I will be glad if you get encouraged into course topics and decide to get insight into them by solving [mini]projects. Activities in this direction will be rewarded with several premium points toward successful grading. The number of stars below is an estimate of project difficulty, from the mini project [(*), 10 points] to the big project size [(*****), 30+ points]. I am also open to assigning/extending a project as a Bachelor/Master/ Dissertation thesis.
- (*)+ Pointing to any (factual, typographical) errors in the course materials.
- (**)+ Preparation of Deepnote instructions, documentation, and support for the solution of course projects
- (**)+ Preparation of hot topic slides, production or preparation of motivating Khan-Academy style video, or other course materials in LaTeX.
- (**)+ Presentation or teaching video on topics relevant to the course. Possible topics: Sketch Engine, search with linguistic attributes, random walks in texts, topic search and corpora, time-constrained search, topic modeling with gensim, LDA, Wolfram Alpha, specifics of search of structured data (chemical and mathematical formulae, linguistic trees - syntactic or dependency), etc.
- (***) Participation in IR competition at Kaggle.com.
- (***)+ Participation in IR research in our group Math Information Retrieval on research agendas and ARQMath task or EuDML project or DML project.
- (***)+ Evaluation of Math Information Retrieval in system MIaS - possible as a Dean project or a Bachelor/Master/Dissertation thesis.
To a pupil who was in danger, Master said, “Those who do not make mistakes, they are most mistaken for all – they do not try anything new.” Anthony de Mello