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ECMM455 - Introduction to Data Science (Professional) (2023)
MODULE TITLE | Introduction to Data Science (Professional) | CREDIT VALUE | 15 |
---|---|---|---|
MODULE CODE | ECMM455 | MODULE CONVENER | Dr Rudy Arthur (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
---|---|---|---|
DURATION: WEEKS | 11 | 0 | 0 |
Number of Students Taking Module (anticipated) | 30 |
---|
- The Data Revolution
- Exploring Data with Python
- Machine Learning & Statistics
- Data in Society & Business
- Social Networks & Text Analysis
Scheduled Learning & Teaching Activities | 36.00 | Guided Independent Study | 40.00 | Placement / Study Abroad | 0.00 |
---|
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time) |
|||||
Scheduled Learning & Teaching Activities |
36.00 |
Guided Independent Study |
40.00 |
Placement / Study Abroad |
0.00 |
Form of Assessment |
Size of Assessment (e.g. duration/length) |
ILOs Assessed |
Feedback Method |
Feedback on practical work |
18 hours |
All |
Oral |
Feedback in seminar discussions |
6 hours |
All |
Oral |
Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
---|
Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
---|---|---|---|---|
Report | 75% | ~3000-word report |
1, 2, 3, 4, 5, 6, 7, 8, 9, 10
|
Written |
Presentation | 25% | ~5-min presentation |
1, 2, 6, 7, 8, 9
|
Written |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
---|---|---|---|
Coursework | Report and presentation | 1,2,3,4,5,6,7,8,9,10 | Before next academic year |
Deferral – if you miss an assessment for certificated reasons judged acceptable by the Mitigation Committee, you will normally be either deferred in the assessment or an extension may be granted. The mark given for a reassessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.
Referral – if you have failed the module overall (i.e. a final overall module mark of less than 50%) you will be required to re-take some or all parts of the assessment, as decided by the Module Convenor. The final mark given for a module where re-assessment was taken as a result of referral will be capped at 50%.
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
ELE: http://vle.exeter.ac.uk/
Web based and Electronic Resources:
Other Resources:
Reading list for this module:
Type | Author | Title | Edition | Publisher | Year | ISBN | Search |
---|---|---|---|---|---|---|---|
Set | Downey, A.B. | Think Python | Green Tea Press/O'Reilly | 2015 | [Library] | ||
Set | Schutt, R. and O’Neill, C. | Doing Data Science: Straight Talk from the Frontline | O'Reilly | 2014 | [Library] | ||
Set | Mayer-Schonberger V. & Cukier K. | Big data: a revolution that will transform how we live work and | John Murray | 2013 | [Library] | ||
Set | Downey, A.B. | Think Stats. | O'Reilly Media. | 2014 | [Library] |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
---|---|---|---|
PRE-REQUISITE MODULES | None |
---|---|
CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
---|---|---|---|
ORIGIN DATE | Tuesday 06 August 2019 | LAST REVISION DATE | Wednesday 18 January 2023 |
KEY WORDS SEARCH | data science, machine learning, statistics, data governance, data visualisation, data exploration, social networks, text analysis |
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