Магистратура
2023/2024
Научно-исследовательский семинар "Введение в специальность"
Статус:
Курс обязательный (Магистр по наукам о данных)
Направление:
01.04.02. Прикладная математика и информатика
Где читается:
Факультет компьютерных наук
Когда читается:
1-й курс, 1-4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Мельников Олег
Прогр. обучения:
Магистр по наукам о данных
Язык:
английский
Кредиты:
12
Контактные часы:
40
Course Syllabus
Abstract
The research seminar provides an opportunity to learn about applications of machine learning in various areas of science. The purpose of the research seminar is to expand the research horizons of students. It is expected that at the end of the course, the student will be able to prepare a theoretical research paper.
Learning Objectives
- The aims of the discipline are: (1) to form an individual curriculum, (2) to choose a theme of the master's thesis
Expected Learning Outcomes
- know the rules of writing master thesis
- prepare a brief of the master thesis
- knows the key stages and deadlines for master thesis preparation and delivery
- An individual education plan for the second year
- Correcting the syllabus and term or master's thesis work
- Selecting a track
Assessment Elements
- Quizzes (part 1)
- Homework (part 1)
- Ethics (part 1)
- Participation (part 1)
- Presentation (part 2)
- Quizzes (part 2)
Interim Assessment
- 2023/2024 2nd module0.1 * Ethics (part 1) + 0.4 * Homework (part 1) + 0.1 * Participation (part 1) + 0.4 * Quizzes (part 1)
- 2023/2024 4th module0.5 * Presentation (part 2) + 0.5 * Quizzes (part 2)
Bibliography
Recommended Core Bibliography
- A Tutorial on Machine Learning and Data Science Tools with Python. (2017). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.E5F82B62
- Rogers, S., & Girolami, M. (2016). A First Course in Machine Learning (Vol. 2nd ed). Milton: Chapman and Hall/CRC. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1399490
Recommended Additional Bibliography
- A first course in machine learning, Rogers, S., 2012