Official course description:
Basic info last published 26/02-19

Introduction to Data Science and Programming

Course info
Language:
English
ECTS points:
15
Course code:
BSINDSP1KU
Offered to guest students:
-
Offered to exchange students:
Offered as a single subject:
-
Programme
Level:
Bachelor
Programme:
BSc in Data Science
Staff
Course semester
Semester
Efterår 2018
Start
27 August 2018
End
28 December 2018
Exam
Exam type
ordinær
Internal/External
intern censur
Grade Scale
7-trinsskala
Exam Language
GB
Abstract

This course is both a practical introduction to the foundations of Data Science and to programming.

Description
The subjects covered in the course include:
  • Computer fundamentals   
  • Object-oriented programming with Python
  • Mathematical programming
  • Heterogeneous data and data curation
  • Basic reporting
  • Prediction using machine learning
  • Network analysis
  • Analysis under noisy conditions
  • Big data and distributed computing
Formal prerequisites
The course is mandatory for students on first semester BSc in Data Science. The course is only open for students enrolled in BSc in Data Science.
Intended learning outcomes

After the course, the student should be able to:

  • Identify the fundamental problems in data science
  • Describe the standard approaches to solving these problems
  • Select the appropriate methods for analysing various data types
  • Create computer programs for solving problems in data science
  • Apply basic machine learning to data analysis
  • Analyse heterogenous collections of data with computer programming
  • Visualize the results of various data analyses
  • Solve data science problems with induction and recursion
Ordinary exam
Exam type:
X: Special exam type, internal (7-trinsskala)
Exam description:
This course features a written examination on premises. It is a closed-book exam on paper. No aids are allowed at the exam, other than a pen for handwriting the answers. The exam duration is 4 hours. The re-exam form will depend on the number of students registered for the re-exam.