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Statistical Methods for Data Science

Master's level | 7.5 credits | Course code: DIT862
Autumn 2019
50% Day
Göteborg
Period: 4 November 2019 - 18 January 2020
INSTRUCTION LANGUAGE: English
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

The course gives an introduction to the theory of probability and statistics, data analysis using descriptive statistics and data visualization, and applications of probabilistic modeling in data science.

In the course, the following broad areas will be covered:

  • data analysis including descriptive statistics and data visualization probability theory including basic probability calculations, random variables, distributions
  • statistical methods including point and interval estimates, hypothesis testing, regression
  • probabilistic models in data science applications, for instance, Naive Bayes classifiers and topic models for text or Hidden Markov Models for sequences 

More Information

https://gul.gu.se/public/cou...

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Course Syllabus

DIT862

Requirements and Selection

Requirements: To be eligible to the course, the student should have a Bachelor's degree in any subject, or have successfully completed 90 credits of studies in computer science, software engineering, or equivalent. Specifically, the course requires the following:

  • at least 15 credits of successfully completed courses in programming,
  • one of the courses DIT851 Introduction to Data Science, 7.5 credits, or DIT856 Applied Mathematical Thinking, Master course, 7.5 credits, alternatively at least 7.5 credits of mathematics.
Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 17 587 SEK
First payment: 17 587 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on: http://www.universityadmissions.se

Study Guidance

Eirin Bakken, tel: 031-772 1709, e-post: svl@cse.gu.se

Department

Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Pontus Sundén
Last update: 6/15/2018 12:12 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018
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