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Course Information
🎓 UEM531: Foundations of Data Science
Teaching Unit: Methodology
Course Title: Foundations of Data Science
Coefficient: 02
Credits: 03
🎯 Course Objective
The main goal of this course is to provide students with a solid foundation in data science, emphasizing essential mathematical and computational tools, particularly linear algebra.
By the end of this course, students will:
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Understand the core concepts and processes of data science.
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Gain theoretical and practical skills for analyzing and interpreting data.
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Be prepared to pursue advanced courses in Data Analysis and Machine Learning.
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🧠 Recommended Prerequisites
To follow this course effectively, students should have prior knowledge of:
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📊 Statistics
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🧮 Mathematics
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💻 Programming
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🔢 Linear Algebra
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🧾 Assessment Method
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🧠 Final Exam: 60%
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🧪 Practical Work (Labs): 40%
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💡 Teaching Format
This course combines:
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Interactive lectures with real-world data science examples.
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Hands-on practical sessions (labs) using Python and data analysis tools.
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Guided exercises and case studies to bridge theory and practice.
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