| CODE | DOC1024 | ||||||
| TITLE | Data Analysis with Python | ||||||
| UM LEVEL | D - Doctoral Workshops/Symposium | ||||||
| MQF LEVEL | Not Applicable | ||||||
| ECTS CREDITS | Not Applicable | ||||||
| DEPARTMENT | Doctoral School | ||||||
| DESCRIPTION | Most doctoral students generate or measure data which they would like to analyse, process and visualize. Python is one of the easiest and widely used programming languages which allows reading and writing from files, and plotting data in very few lines of code. It is open-source (free) and runs on any operating system. This workshop will assume no prior experience with programming whatsoever, and will guide students to write their first Python script, process basic datasets, make plots and also fit the data in order to model it. Participants are encouraged to bring their own datasets to the workshop. Outcomes: By the end of this workshop, the doctoral researcher should be able to: - write a basic script in Python; - make use of standard libraries such as numpy and matplotlib; - read and write data to and from a file; - visualize data using several plots; - fit the data in order to obtain a model. |
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| ADDITIONAL NOTES | Timetable Details Semester 2 Occ A - Part 1 - Date: 20 Mar 2019; Time: 13:00 - 16:00; Duration: 3 hours Occ A - Part 2 - Date: 21 Mar 2019; Time: 13:00 - 16:00; Duration: 3 hours Occ AE - Part 1 - Date: 25 Mar 2019; Time: 17:00 - 20:00; Duration: 3 hours Occ AE - Part 2 - Date: 26 Mar 2019; Time: 17:00 - 20:00; Duration: 3 hours |
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| STUDY-UNIT TYPE | Workshop | ||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Jean Paul Ebejer Reuben Farrugia Kenneth M. Scerri Gianluca Valentino |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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