Fundamentals of Data Science (Professional) - 2023 entry
MODULE TITLE | Fundamentals of Data Science (Professional) | CREDIT VALUE | 15 |
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MODULE CODE | COMM415DA | MODULE CONVENER | Dr Alberto Moraglio (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 0 | 0 | 11 |
Number of Students Taking Module (anticipated) | 90 |
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Scheduled Learning & Teaching Activities | 40 | Guided Independent Study | 110 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled Learning and Teaching | 40 | Lectures, practicals and exercises |
Guided Independent Study | 110 | Reading, coursework and associated preparation |
Form of Assessment |
Size of Assessment (e.g. duration/length) |
ILOs Assessed |
Feedback Method |
Practical Exercises |
20 hours |
All |
Oral |
Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Technical report | 60 | e.g. 1000 words | All | Written |
Technical report | 40 | e.g. 1000 words | All | Written |
Original Form of Assessment |
Form of Re-assessment |
ILOs Re-assessed |
Time Scale for Re-assessment |
Coursework exercises |
Coursework exercises |
All |
Within 8 weeks |
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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 |
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Set | Strang, G. | Introduction to Linear Algebra | 4th | Wellesley Cambridge | 2005 | |
Set | Grus, J. | Data Science From Scratch: First Principles With Python | O'Reilly | 2015 | ||
Set | McKinney, W. | Python for Data Analysis: Data Wrangling with Pandas, Numpy and iPython | 1st | O'Reilly Media | 2012 | 978-1449319793 |
Set | Teetor, P. | R Cookbook | O'Reilly | 2011 |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | COMM414DA |
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CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 15 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Monday 5th August 2019 | LAST REVISION DATE | Tuesday 24th January 2023 |
KEY WORDS SEARCH | Machine Learning; Linear Algebra; Python. |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.