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.
Teachers
Person in charge
Oscar Romero Moral (
)
Objectives
Read and understand scientific papers
Related competences:
Develop critical thinking when assessing scientific papers
Related competences:
Write and explain a state-of-the-art in a rigorous manner
Related competences:
Elaborate on recent trends in Big Data
Related competences:
Contents
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.
Activities
ActivityEvaluation act
Seminars
The student attends the seminars and participate actively. Objectives:1234 Contents:
The student is expected to attend and listen, since they will be asked to choose an specialisation after the presentations Objectives:4
Theory
0h
Problems
3h
Laboratory
0h
Guided learning
0h
Autonomous learning
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 Objectives:124 Week:
18 Type:
theory exam
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
36h
Teaching methodology
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.
Evaluation methodology
Final Mark = 50% R + 50% RPr where,
R = The mark obtained on the written state-of-the-art report,
RPr = Face-to-face presentation of the report
Attendance to the summer school seminars and attend face-to-face the poster session there is mandatory and required to pass this course.