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PX5010: STATISTICS AND TIME SERIES ANALYSIS (2022-2023)

Last modified: 31 Jul 2023 11:19


Course Overview

This is an introductory course in statistics and statistical methods for data analysis.

We will introduce descriptive statistics, ANOVA, GLMs, correlations, spectra, wavelets, etc.

This will allow us to perform typical analysis that underlie most modern data science questions.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Ekkehard Ullner

What courses & programmes must have been taken before this course?

  • Either Any Postgraduate Programme (Studied) or Master Of Science In Data Science

What other courses must be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

In this course we will introduce the bases of statistics and statistical modelling.

We will discuss the basics of descriptive statistics, means, variances, quantiles, distributions, etc, following standard textbooks in this area.

Furthermore, this course will introduce ANOVA and GLMs.

It will also introduce standard methods of time series analysis such as correlations, spectra wavelets etc. Some more advanced methods on time series modelling and forecasting will also be discussed.

We will also use (at a very ad hoc level) various approaches of machine learning such as clustering, distribution learning, outlier detection etc.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Online Test

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Online Test

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Resubmission of failed elements (pass marks carried forward)

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionEvaluateDevelopment of codes in a modern statistical computing language to solve problems using statistics and times series.
ProceduralEvaluateUnderstand basic concepts in statistics and times series analysis.
ProceduralApplyCarry out basic statistical analyses using a modern statistical computing language.

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