TIES438 Big Data Engineering, 5 ECTS [home page]
Department of Mathematical Information Technology
You cannot register for the course because the course has expired.
The registration deadline for this course passed 22.11.15 at 23:59.
General information
| Home page: | http://users.jyu.fi/~miselico/teaching/TIES438 |
|---|---|
| Begins - ends: | 29.10.15 - 18.12.15 |
| Registration period: | 17.6.15 at 0:00
- 22.11.15 at 23:59
The registration may be cancelled before 25.11.2015 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: | 49 |
| 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. |
| 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: |
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[Full information on teaching groups]
Luento [group details and registration]
| Location | Week | Day | Date | At | Supervisor | Further information | URI | |
|---|---|---|---|---|---|---|---|---|
| 1 - 9 | Ag Beeta, -, Ag Beeta, Ag Beeta, Ag Beeta, Ag Beeta, Ag Beeta | 44 - 51 | Th, Wed | 29.10.2015 - 17.12.2015 | several | Cochez | Auditorium 3 Managing with Big Data “at rest”; Auditorium 2 Managing with Big Data “at rest” (Cont.); Auditorium 1 Managing with streaming Big Data |
| Location | Week | Day | Date | At | Supervisor | Further information | URI | |
|---|---|---|---|---|---|---|---|---|
| 1 - 7 | Ag Beeta, Ag Beeta, Ag Beeta, Ag Beeta, Ag Beeta, Ag Beeta, Ag Beeta | 44 - 51 | Fr | 30.10.2015 - 18.12.2015 | several | Cochez |
Demo [group details and registration]
| Location | Week | Day | Date | At | Supervisor | Further information | URI | |
|---|---|---|---|---|---|---|---|---|
| 1 - 7 | Ag C331.3, mikroluokka, Ag C331.3, mikroluokka, Ag C331.3, mikroluokka, Ag C331.3, mikroluokka, Ag C331.3, mikroluokka, Ag C331.3, mikroluokka, Ag C331.3, mikroluokka | 45 - 51 | Tu | 3.11.2015 - 15.12.2015 | several | Cochez |