Mathematics & Logical Thinking for IT

Overview

Develop the mathematical and logical problem-solving skills that underpin data science, programming and tech analytics careers.

What you'll learn

• Discrete math: sets, logic, combinatorics
• Algebra refresher and linear algebra intro
• Statistics & probability for engineers
• Algorithmic thinking and pseudocode
• Daily problem-solving drills

Outcomes

• Read and write formal reasoning about code
• Solve entry-level algorithm problems from scratch

Syllabus

1. Logic & Sets

   Week 1–2

   Propositional logic, truth tables.

2. Algebra Refresher

   Week 3–5

   Functions, matrices, vectors.

3. Stats & Probability

   Week 6–7

   Distributions, expectation.

4. Algorithmic Thinking

   Week 8–10

   Pseudocode, complexity, drills.