Data Science and Big Data
Course ID
ECTS value
Course Title
Number of lessons
Lecturer
Overall description learning objectives
Learnings objectives - Knowledge
On completion of the course students should possess knowledge about
- Basic statistics and the most often used data models
Learning objectives - Skills
Learning objectives - Competences
Content
Teaching includes an in-depth academic and research based introduction to theoretical principles, methods and technologies for the administration, analysis and visualisation of large quantities of data. The course covers the life cycle of data from selection to analysis, modelling and processing as well as different forms of data representation. Furthermore, examples of the practical use of data science are provided, and the main purpose is to derive patterns from the data that ease the understanding, communication and decision making in the field in question.
Forms of instruction and work
Teaching in the course may take place in the following forms: Lectures, group classes, dialogue, exercises and project classes.
Teaching is organised in such a way that it supports the humanities model for active learning and activating teaching, cf. section Didactic, pedagogical basis and contact to research environment in the curriculum. The teacher must inform students about how study activities are organised on commencement of teaching.
The teaching of the course activates the student in the following teaching spaces/learning spaces:
- Teaching space where the university teacher has the responsibility for planning and is present
- Study space where the university teacher has the responsibility for planning but is not present
- Teaching space where the students have the responsibility for planning, and the university teacher is not present
Teaching language
Syllabus
The curriculum for graduate students is more extensive than for bachelor students.
The teacher will inform about the extent at the beginning of the semester.
Examination regulations
Examination requirements
Name
Timing
The examination takes place at the end of the semester.
Tests
Final examination
EKA
Name
Description
Form of examination
Assessment
Grading
Identification
Language
Duration
Length
Assignment Release
Submission date is published as part of the overall list of examinations.
Assignment Submission
ECTS value
Additional information
Assessment criteria: Considering the method of assessment and the current study level, specific emphasis will be put on the extent to which the student´s performance meets the learning objectives as well as to what extent the student masters the general competence objectives mentioned in the currculum, section Aim of Programme, including any professional profile and specialisations, particularly nos. 1-6 and 12 that the course pays special attention to.
The Pass/Fail assessment reflects it the student properly understands the general and discipline specific competencies.
Several students may contribute to the assignment: No
Exam language: English or Danish, to be decided by the student
Reexamination takes place in the same way as the ordinary examination.
Timetable for the course
Further information
First lesson takes place: Is going to follow at a later point of time
Extent of the classes: 26 hours in 9 rounds of classes during the autumn semester
For further information see MyTimetable.
Please notice: A minimum of 20 students are required in order for this course to become offered