Basic understanding of mathematics (linear algebra, probability) is helpful but not mandatory.Programming experience is useful but not ...
The course emphasizes theoretical understanding of AI foundations.Some conceptual pseudocode may be shown to explain algorithms.Practical ...
Yes, the course focuses on concepts like logic, learning, and problem-solving.Technical jargon is explained in an accessible manner.Minimal ...
It builds a solid understanding of logic, reasoning, and learning principles.Introduces foundational concepts used in machine learning and AI ...
The course primarily focuses on foundational concepts rather than applications.Examples illustrate logical reasoning and decision-making ...
Basic programming knowledge helps but isn’t strictly necessary.Familiarity with Java or other object-oriented languages can make learning ...
Yes, Kotlin is versatile for Android and backend applications.The course focuses on core language features applicable in both areas.For ...
The course primarily focuses on fundamentals and core concepts.Advanced topics like coroutines or domain-specific languages (DSLs) are not ...
Yes, Kotlin is fully interoperable with Java.Developers can gradually migrate existing Java projects to Kotlin.Kotlin simplifies syntax and ...
The course includes coding exercises for each key concept.Students write and run Kotlin programs to reinforce learning.Practical examples ...