Big Data Seminar

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Créditos
2
Tipos
Obligatoria
Requisitos
Esta asignatura no tiene requisitos
Departamento
ESSI
The students will be introduced to recent trends in Big Data. Seminars will be lectured by guest speakers, who will present business cases, research topics, internships and master's thesis subjects. Also, the three specialisations will be presented and discussed with the students within the seminars umbrella. Students will also perform a state-of-the art research in one topic, which will be presented and jointly evaluated by all partners in the mandatory eBISS summer school. Participation in the summer school is also included in this course.

Profesores

Responsable

  • Oscar Romero Moral ( )

Objetivos

  1. Read and understand scientific papers
    Competencias relacionadas:
  2. Develop critical thinking when assessing scientific papers
    Competencias relacionadas:
  3. Write and explain a state-of-the-art in a rigorous manner
    Competencias relacionadas:
  4. Elaborate on recent trends in Big Data
    Competencias relacionadas:

Contenidos

  1. Seminars: the seminars will present advanced topics related to Big Data in the industrial and research settings
    Seminars will take place during the semester. Industrial and academic practitioners will provide insights on hot topics not covered by the semester.

Actividades

Actividad Acto evaluativo


Seminars

The student attends the seminars and participate actively.
Objetivos: 1 2 3 4
Contenidos:
Teoría
0h
Problemas
11h
Laboratorio
0h
Aprendizaje dirigido
0h
Aprendizaje autónomo
0h

Specialisation presentations

The student is expected to attend and listen, since they will be asked to choose an specialisation after the presentations
Objetivos: 4
Teoría
0h
Problemas
3h
Laboratorio
0h
Aprendizaje dirigido
0h
Aprendizaje autónomo
0h

Report on the state-of-the-art of a research field

The student must choose a research field from a list provided during the course and generate a rigorous state-of-the-art
Objetivos: 1 2 4
Semana: 18
Tipo: examen final
Teoría
0h
Problemas
0h
Laboratorio
0h
Aprendizaje dirigido
0h
Aprendizaje autónomo
36h

Metodología docente

This course is based on seminars. During the semester the student will be mandatorily attend the course seminars and learn about new topics or practices related with Big Data.

To show the comprehension of one of these areas, the student must generate a state-of-the-art in group of 2-3 people.

Método de evaluación

Final Mark = 40% A + 40% R + 20% RPr where,

A = Attendance to the seminars,
R = The mark obtained on the written state-of-the-art report,
RPr = Face-to-face presentation of the report

Bibliografía

Básica: