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Various forms of numerical and language data perform vital roles in today's digital economy, across industries like the media, marketing, and education, just to name a few. They provide key insights into human behavior and optimize practical problem-solving and decision-making. Building upon their primary competencies of critical thinking and communication, this course will train future professionals in linguistic and social contexts to analyze, derive, and communicate insights from such data. Students will learn to write basic code in the Python programming language, and implement basic AI, machine learning (e.g. regression, classifi cation, clustering), and Natural Language Processing (NLP) techniques on a wide range of datasets from the aforementioned industries. Ethical issues arising from the rapid growth of (Generative) AI will also be critically discussed. This course does not require a background in programming, data analytics, or statistics.
| AUs | 4.0 AUs |
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| Prerequisite | |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
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| 930 | |||||
| 1000 | |||||
| 1030 | |||||
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| 1130 | |||||
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| 1230 | |||||
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| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 17443 SEM (SEM1) 0930-1320 Mon TR+69 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 |