Official NUC CCMAS syllabus

DTS 316 — Probability for Data Science

DTS department course · Nigerian universities

What you'll be able to do (official learning outcomes)

• analyse and interpret real-world statistical events
• utilise various principles and concepts from the broad theory of probability and adjoining statistical and mathematical fields
• apply statistical principles and concepts to analyse data; and

Course contents

Experiments, sample spaces, outcomes and events. Generation of Statistical events from set theory (Venn diagrams). Concepts and principles of Probability (probability axioms). Random variables. The Law of Total Probability, Bayes’ Theorem, Independence. Permutation and Combination. Introduction to Probability and distribution functions.

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study DTS 316.

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