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Dec/8/2022 14:39

TIES438 Big Data Engineering, 5 ECTS [home page]

Department of Mathematical Information Technology

Announcement:
The language used was temporarily changed. Personal information page allows you to save your language settings.
You cannot register for the course because the course has expired.
The registration deadline for this course passed 1.12.17 at 23:59.
Announcement:
Students will be registered according to their order of registration. Further information on queuing.

General information

Home page: http://users.jyu.fi/~miselico/teaching/TIES438
Begins - ends: 1.12.17 - 15.12.17
Registration period: 17.10.17 at 0:00 - 1.12.17 at 23:59
The registration may be cancelled before 8.12.2017 at 00:00.
Instructor(s): Michael Cochez (michaelcochez@gmail.com)
Credits: 5 ECTS cr.
Languages: language(s) of instruction: English; completion language(s): English
Registered: 36
Max participants: 40 (Due to the queuing method used for registration, you may still register for this course even though the number of participants exceeds the maximum.);
Organisations:Department of Mathematical Information Technology (MIT)
Current events:

Also the students whose rank is higher than 40 should come to the first lecture.

Please note that participating in demos is not obligated.

Contents:

During the course multiple facets related to the Big Data phenomenon will be studied. First, students will get introduced to large data sets and streaming data. Then, example storage solutions and processing algorithms will be studied. Finally, we will look into hardware considerations and apply the theory on real world datasets related to news, wikipedia, brain analysis, biology, chemistry, etc.

Students who wish to work on a problem specific to their own research should discuss this with the teacher at the beginning of the course.

Learning outcomes:

After completion of this course the students will understand the concepts related to, and the intrinsic characteristics of big amounts of data. The student will then be able to evaluate algorithms and technology to deal with problems in which big amounts of data are involved.

Prerequisites:

The student should know how to program (at least programming 2) and be familiar with  algorithms, data structures and computational complexity. Further, the student should have notion of sets, probability theory, linear algebra, and statistics.

Modes of study:

Students should attend the lectures and read the assigned materials. Further, the implementation of algorithms is intended to assist the students in their understanding of the course content.

Completion mode:

The course is completed by implementing the assigned tasks. A small part of the evaluation is done by quizzes during the lectures.

Literature:
  • Mining massive data sets - Anand Rajaraman, Jure Leskovec, Jeffrey D. Ullman free download from http://www.mmds.org/
  • Optional: Motwani, and Raghavan. Randomized Algorithms. Cambridge, UK: Cambridge University Press, 1995. ISBN: 0521474655. (available in JYU trough EBSCOhost https://jyu.finna.fi/Record/jykdok.1485577 )
  • The online course https://www.coursera.org/course/mmds overlaps partially with the course.

[Limit information on study groups]

Luento [group details and registration]

Intensive lectures [group details and registration]; registered 36, maximum 40
reg.time: 17.10.2017 00:00 - 1.12.2017 23:59
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1Ag C23148Fr1.12.201716:15-20:00CochezTapahtuman tiedot
2Ag Delta49Mo4.12.201716:15-20:00CochezTapahtuman tiedot
3Ag Delta49Tu5.12.201716:15-20:00CochezTapahtuman tiedot
4Ag Delta49Th7.12.201716:15-20:00CochezTapahtuman tiedot
5Ag Delta50Tu12.12.201716:15-20:00CochezTapahtuman tiedot
6Ag Delta50Wed13.12.201716:15-20:00CochezTapahtuman tiedot
7Ag Beeta50Th14.12.201716:15-20:00CochezTapahtuman tiedot

Demo [group details and registration]

Demo [group details and registration]; registered 36, maximum 40
reg.time: 17.10.2017 00:00 - 1.12.2017 23:59
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1Ag C331.3, mikroluokka49Mo4.12.201714:15-16:00CochezTapahtuman tiedot
2Ag C331.3, mikroluokka49Tu5.12.201712:15-14:00CochezTapahtuman tiedot
3Ag C331.3, mikroluokka49Th7.12.201714:15-16:00CochezTapahtuman tiedot
4Ag C331.3, mikroluokka49Fr8.12.201714:15-20:00CochezTapahtuman tiedot
5Ag C331.3, mikroluokka50Tu12.12.201712:15-14:00CochezTapahtuman tiedot
6Ag C331.3, mikroluokka50Wed13.12.201714:15-16:00CochezTapahtuman tiedot
7Ag C331.3, mikroluokka50Fr15.12.201712:15-18:00CochezTapahtuman tiedot

Exam [group details and registration]

Tentti 16.2.2018 [Registration for the exam]; maximum 200
reg.time: 5.2.2018 00:00 - 12.2.2018 16:00
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1Ag Auditorio 1, Martti Ahtisaari -sali7Fr16.2.201812:00-16:00CochezTapahtuman tiedot
Tentti 14.3.2018 (uusinta) [Registration for the exam]; registered 2, maximum 200
reg.time: 1.3.2018 00:00 - 9.3.2018 16:00
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1Ag Auditorio 1, Martti Ahtisaari -sali11Wed14.3.201816:00-20:00CochezTapahtuman tiedot