Big Data (5cr)

Code

General information

Timing: 01.01.2020 - 31.07.2020; Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Face-to-face

Unit: School of Technology

Teaching languages: Finnish

Degree programmes: Bachelor's Degree Programme in Information and Communications Technology

Teachers: Mika Rantonen

Groups: TTV18SMM
Tieto- ja viestintätekniikka; TTV19KMM
Tieto- ja viestintätekniikka, muuntokoulutus

Course: TTIW0100

Unfortunately, no reservations were found for the realization Big Data TTIW0100-0K1V1. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.

Evaluation scale

Pass/Fail

Objective

The student understands the technical terms related to big data (tools and applications) and is able to process, analyze, and extract meaningful information from large amounts of complex data (by using the map/reduce framework).

Content

Introduction to Big Data, Data Science, and Hadoop/MapReduce. Subtopics include data gathering, integration, graph analytics, and data visualization for getting valuable insight from big data.

Materials

Online learning material

Completion alternatives

Exam Assignments

Student workload

Lectures and coaching 56 h + assignments and exercises 54 h + exam (including independent study) 25 h Total 135 h of student work

Assessment criteria, satisfactory (1)

Pass: assessment is based on examination and completed assignments on main subjects.
Fail: The student does not meet the minimum criteria set for the course.

Qualifications

Basics of databases