Ordered Sets in Data Analysis (2022) — различия между версиями
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(Добавил общую информацию из телеграмм чата, формулу оценки, раздел "Задания", первую лекцию и библиографию) |
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Class teacher: Fedor Strok (Федор Владимирович Строк) | Class teacher: Fedor Strok (Федор Владимирович Строк) | ||
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| + | [https://github.com/EgorDudyrev/OSDA_course GitHub repo of the course] | ||
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| + | [https://arxiv.org/abs/1908.11341 Students book on Arxiv] | ||
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| + | [https://t.me/+LaVJXmxCUCJhZmFi Telegram channel (this one)] | ||
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| + | [https://t.me/+pDCm5PbTeNxiMDdi Telegram chat] | ||
== Schedule == | == Schedule == | ||
| Строка 19: | Строка 27: | ||
== Grading system == | == Grading system == | ||
| − | + | '''<span style="color:red">Final Grade</span>''' = 0.2 * Exam + 0.48 * Homework + 0.32 * Research project | |
| + | |||
| + | == Tasks == | ||
| + | |||
| + | {| class="wikitable" | ||
| + | |- | ||
| + | ! Task description !! Source !! Deadline | ||
| + | |- | ||
| + | | Solve the problems given at the end of the first lecture. The exact problems to solve are: 3-6 || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/ordered_sets_data_science/lectures/lecture1_ordered_sets_ds.pdf Lecture 1] || 20.09.22 | ||
| + | |} | ||
== Lectures == | == Lectures == | ||
| Строка 25: | Строка 42: | ||
{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
| − | ! Lecture !! Date !! Topics !! Download materials !! Read Materials !! Pages !! Reading time | + | ! Lecture !! Date !! Topics !! Download materials !! Read Materials !! Pages !! Reading time |
|- | |- | ||
| − | | | + | | Lecture 1 || 13.09.22 || Relations, binary relations, their matrices and graphs. Operations over relations, their properties, and types of relations. || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/ordered_sets_data_science/lectures/lecture1_ordered_sets_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/ordered_sets_data_science/lectures/lecture1_ordered_sets_ds.pdf Click]|| 37p|| 20-30 min read |
|} | |} | ||
| Строка 34: | Строка 51: | ||
{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
| − | ! Seminar !! Date !! Topics !! Download materials !! Read Materials !! Pages !! Reading time | + | ! Seminar !! Date !! Topics !! Download materials !! Read Materials !! Pages !! Reading time |
|- | |- | ||
| − | + | | soon || soon || soon || soon || soon || soon || soon | |
|} | |} | ||
| − | === | + | === References === |
===='''<span style="color:red">Main literature</span>'''==== | ===='''<span style="color:red">Main literature</span>'''==== | ||
| − | * | + | * Cormen, T. H., Leiserson, C. E., Rivest, R. L., Stein, C. Introduction to Algorithms (3rd edition). – MIT Press, 2009. – 1292 pp. |
| + | |||
| + | * Kuznetsov, S. O. Fitting pattern structures to knowledge discovery in big data // International conference on formal concept analysis. – Springer, Berlin, Heidelberg, 2013. – PP. 254-266. | ||
===='''<span style="color:green">Additional literature</span>'''==== | ===='''<span style="color:green">Additional literature</span>'''==== | ||
| − | * | + | * Kuznetsov, S. O. Pattern structures for analyzing complex data // International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing. – Springer, Berlin, Heidelberg, 2009. – P. 33-44. |
| + | * Kuznetsov, S. O. Scalable knowledge discovery in complex data with pattern structures // International Conference on Pattern Recognition and Machine Intelligence. – Springer, Berlin, Heidelberg, 2013. – P. 30-39. | ||
Версия 13:31, 14 сентября 2022
Содержание
General information
One semester course. 6 kredits.
Lecturer: Sergey Kuznetsov (Сергей Олегович Кузнецов)
Class teacher: Fedor Strok (Федор Владимирович Строк)
Schedule
| Type | Day of week | Time | Place |
|---|---|---|---|
| Lectures | Tuesday | 11:10-12:30, 13.00-14.20 | S224, Pokrovsky Blvd. 11 (Покровский б-р 11) |
| Seminars | Tuesday | 11:10-12:30, 13.00-14.20 | S224, Pokrovsky Blvd. 11 (Покровский б-р 11) |
Grading system
Final Grade = 0.2 * Exam + 0.48 * Homework + 0.32 * Research project
Tasks
| Task description | Source | Deadline |
|---|---|---|
| Solve the problems given at the end of the first lecture. The exact problems to solve are: 3-6 | Lecture 1 | 20.09.22 |
Lectures
| Lecture | Date | Topics | Download materials | Read Materials | Pages | Reading time |
|---|---|---|---|---|---|---|
| Lecture 1 | 13.09.22 | Relations, binary relations, their matrices and graphs. Operations over relations, their properties, and types of relations. | Click | Click | 37p | 20-30 min read |
Seminars
| Seminar | Date | Topics | Download materials | Read Materials | Pages | Reading time |
|---|---|---|---|---|---|---|
| soon | soon | soon | soon | soon | soon | soon |
References
Main literature
- Cormen, T. H., Leiserson, C. E., Rivest, R. L., Stein, C. Introduction to Algorithms (3rd edition). – MIT Press, 2009. – 1292 pp.
- Kuznetsov, S. O. Fitting pattern structures to knowledge discovery in big data // International conference on formal concept analysis. – Springer, Berlin, Heidelberg, 2013. – PP. 254-266.
Additional literature
- Kuznetsov, S. O. Pattern structures for analyzing complex data // International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing. – Springer, Berlin, Heidelberg, 2009. – P. 33-44.
- Kuznetsov, S. O. Scalable knowledge discovery in complex data with pattern structures // International Conference on Pattern Recognition and Machine Intelligence. – Springer, Berlin, Heidelberg, 2013. – P. 30-39.
