Course Description
In this course, we use a programming language to look at the design and implementation of algorithms that are relevant to Data Science tasks. The students will look into the specifics of a programming language and extend them with libraries and exercises that will add to their background in Data Science. The exercises will deal with the analysis of data sets and alternative solutions will be discussed for their processing and evaluation of the results.
This course can be used to fulfil the “Technical” Professional Requirement.
Note: Former name was Programming for Information Systems. Effective September 2019, new name is Programming for Data Science
- Syllabus Modular Format – Fall 2016
- Syllabus Fall 2016
- Syllabus Fall 2017
- Syllabus Fall (0101) 2018
- Syllabus Fall (0102) 2018
- Syllabus Fall 2019
- Syllabus Fall (0101, 0102) 2020
- Syllabus Fall (0103) 2020
- Syllabus Fall (0101) 2021
- Syllabus Fall (0201) 2021
- Syllabus Fall (0101) 2022
- Syllabus Fall (0102) 2022
- Syllabus Fall 2023
- Syllabus Summer 2024
Current Timetable
INF1340HF Programming for Data Science
Lecture
LEC0101
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Lecture
LEC0201
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Day(s): Tuesday Time(s): toLocation: BL
Tutorial
TUT0201
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Day(s): Thursday Time(s): toLocation: BL
Tutorial
TUT0202
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Day(s): Thursday Time(s): toLocation: BL
Tutorial
TUT0101
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Day(s): Wednesday Time(s): toLocation: BL
Tutorial
TUT0102
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Day(s): Wednesday Time(s): toLocation: BL