|Kursusnavn (dansk):||Large Scale Data Analysis |
|Kursusnavn (engelsk):||Large Scale Data Analysis |
|Semester:||Forår 2019 |
|Udbydes under:||Bachelor i datavidenskab (b-ds) |
|Omfang i ECTS:||7,50 |
|Min. antal deltagere:||1 |
|Forventet antal deltagere:||0 |
|Maks. antal deltagere:||50 |
|Formelle forudsætninger:||The course assumes that the students have taken an introductory course on data management or database systems. |
|Læringsmål:||After the course, the student should be able to:
- Select the right distributed data processing platform and the right subset of functionalities from such platforms for a given task
- Apply machine learning and data mining in a parallel setting
- Effectively combine different types of data analysis tasks (machine learning, traditional SQL, …) in a query
- Reason about the performance of data processing systems in a parallel setting
|Fagligt indhold:||Turning the unprecedented amounts of data being collected today into useful information is well beyond the computing power of a single general purpose CPU core. It is, therefore, crucial to know and understand the methods and tools that are able to parallelize various data analysis tasks in an efficient way on multicore CPUs and on a cluster of machines.
With this goal in mind, this course first gives an overview of the popular parallel data processing platforms. Then, it dives into parallelizing various machine learning tasks.
There will be 2 hour lectures a week covering the weekly topic, and 2 hour exercises a week covering coding exercises and activities that would guide students in their assignments and exam.
|Obligatoriske aktivititer:||Three out of the four assignments are mandatory activities.
Students choose which assignments are mandatory.
Feedback is given on the assignments, assuming that they are handed over before the associated deadline.
If the assignments are submitted late, no feedback is given.
Detailed description of the assignments and deadlines will be announced on the course page of LearnIT.
Be aware: The student will receive the grade NA (not approved) at the ordinary exam, if the mandatory activities are not approved and the student will use an exam attempt.
|Eksamensform og -beskrivelse:||C. submission of written work (7-scale; internal exam)|
C Submission of written work
The exam will have questions covering material from the assignments and exercises (75%) and other course contents (25%).