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MT5762   Introductory Data Analysis

Academic year(s): 2018-2019

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF Level 11

Semester: 1

Availability restrictions: Not available to Undergraduate students.

Planned timetable: Mon, Tue, Fri 2:00 - 3:30, Thur 3:30 - 5:00

This module provides coverage of essential statistical concepts and analysis methods relevant to commercial analysis. Specifically: the different types of data and their numerical/graphical treatment; basic probability theory and concepts of inference; fundamental statistical concepts with particular emphasis on sampling issues; basic statistical models and tests; linear models; introductory computer-intensive inference. This module is a short intensive course and is a core, preliminary, requirement for the MSc in Applied Statistics and Datamining. It covers material essential for study of the more advanced statistical methods encountered in subsequent modules.

Relationship to other modules

Anti-requisite(s): You cannot take this module if you take MT5756

Learning and teaching methods and delivery

Weekly contact: Four 1.5-hour lectures (x 5 weeks)

Scheduled learning hours: 30

Guided independent study hours: 120

Assessment pattern

As used by St Andrews: Coursework = 100%

As defined by QAA
Written examinations : 0%
Practical examinations : 0%
Coursework: 100%

Personnel

Module coordinator: Dr C R Donovan
Module teaching staff: Dr D Donovan, Dr L Scott-Hayward