verified Verified Information • Last Updated Mar 2026

Math for AI Beginner Part 2 : Vector Calulus

This course is for learning basic AI and related mathematical concepts and techniques needed for formulating and solving problems in engineering using AI. This course selects, introduces and explains AI concept, 4th industrial revolution, machine learning concept,and it's applications using vector calculus. To use vector calculus for AI, this course introduces gradient, divergence and curl of a vector point function and related identities including evaluation of line, surface and volume integrals using Gauss, Stokes and Green’s theorems and their verification with the physical interpretations of common forms of applications of partial differential equations in various disciplines of study for AI and Math beginners. Upon successful completion of the course, students should appreciate mathematics as a useful tool for formulating (modelling) and solving AI related engineering problems and have a basic understanding of some concepts in vector calculus for AI.
Duration 4 Months
Institution Korea Advanced Institute of Science and Technology(KAIST)
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Korea Advanced Institute of Science and Technology(KAIST).

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $349
Total Est. Investment $349

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Math for AI Beginner Part 2 : Vector Calulus program at Korea Advanced Institute of Science and Technology(KAIST) are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

headset_mic
Get In Touch