MAS6001 Data Analysis

Note: This is an old module occurrence.

You may wish to visit the module list for information on current teaching.

Both semesters, 2012/13 20 Credits
Lecturer: Prof Caitlin Buck uses MOLE Timetable Reading List
Aims Outcomes Teaching Methods Assessment

The module aims to help participants develop professional statistical skills - in the integration of technical knowledge with practical data-analysis; in the use of different modes of communication; in working in groups; in locating and applying new techniques; and through an appreciation of the professional responsibilities of a statistician. The module is organised around a sequence of projects drawn from practical statistical experience in a variety of areas, typically including social, medical, environmental, and other scientific fields, and current affairs and business. Work on some projects is undertaken individually, and some in groups of 3-5 students. In the latter case groups may contain students studying away from Sheffield, and then a subsidiary objective is to gain experience in working collaboratively at a distance. Work on each project is presented by students in both written and oral form, with guidance from tutors. Round-table and electronic discussions of issues raised by projects and the work on them form an intrinsic part of the learning. Some informal lectures are offered on problem areas and statistical techniques which students may not have met elsewhere. Role-play forms a part of several projects.

There are no prerequisites for this module.
No other modules have this module as a prerequisite.


Outline syllabus

  • Introductions to report writing, group work and presentations.
  • Project work giving the opportunity to the student to develop skills in integrating theoretical knowledge with the demands of practical problems.
  • Guidance and discussions.
  • Written and oral feedback on project work.
  • Training in consultancy skills.



Aims

  • To give the opportunity to students to develop a professional approach to data analysis and to presentation of results.
  • To give experience of both individual and group work on practical statistical problems.

Learning outcomes

  • apply statistical methods in practical situations;
  • prepare written statistical reports;
  • give presentations (oral and visual) of statistical work;
  • work in groups;
  • appreciate some of the professional responsibilities of a statistician;
  • inform him or herself about new statistical topics;
  • be prepared to embark on an extended personal study of a statistical problem for the summer dissertation.

Teaching methods

Weekly round-table discussion meeting, project work and presentation sessions.


No lectures, 40 tutorials

Assessment

Assessment is via continuously assessed project reports, some individual and some collaborative. Collaborative groups submit a single project supplemented by short individual reports, and the grade is awarded based on both components.

Reading list

Type Author(s) Title Library Blackwells Amazon
C Anderson, C. W. and Loynes, R. M. The Teaching of Practical Statistics Blackwells Amazon
C Cox, D. R. and Snell, E. J. Applied Statistics - Principles \& Examples Blackwells Amazon
C Kotz, S. and Johnson, N. L. (eds) Encyclopaedia of Statistical Sciences Blackwells Amazon

(A = essential, B = recommended, C = background.)

Most books on reading lists should also be available from the Blackwells shop on Mappin Street.

Timetable (semester 1)

Mon 10:00 - 10:50 help session   K14 Hicks Building
Mon 11:00 - 11:50 help session   K14 Hicks Building