Lectures related to Propositional Logic

Discrete Mathematics: Logic, Structures, Algorithms

Covers the basics of discrete mathematics, focusing on logic, structures, and algorithms for computer systems.

Discrete Mathematics: Logic, Structures, Algorithms

Covers the basics of discrete mathematics, including logic, structures, and algorithms.

Real Functions: Definitions and Properties

Explores real functions, covering parity, periodicity, and polynomial functions.

Recursively Defined Sets and Structures

Explores recursively defined sets, natural numbers, strings, functions, string concatenation, and well-formed formulae.

Existence of Limit

Covers examples related to the existence of limits of functions.

Estimation of Integrals

Covers the estimation of integrals using various propositions and demonstrations.

Algebraic Operations on Limits

Covers algebraic operations on limits and their application in limit calculations.

Entropy and the Second Law of Thermodynamics

Covers entropy, its definition, and its implications in thermodynamics.

Functions and Periodicity

Covers functions, including even and odd functions, periodicity, and function operations.

Derivatives and Solutions

Explores differentiability, propositions evaluation, and solutions to equations using derivatives.

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.

Partial Derivatives: Definitions and Examples

Covers the concept of partial derivatives and their applications in mathematical analysis.

Definitions and Notations

Covers the definitions and notations related to functions.

Convexity Criteria

Covers the study of functions, focusing on convexity criteria within closed subintervals.

Course Overview: Teaser on Course Contents

Offers an overview of propositional and predicate logic, sets, functions, relations, algorithms, Swiss cities, sorting tables, Covid infections, poker hands, and prime numbers.

Python Crash Course

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.

Products and Convolution of Transforms

Covers the definition and properties of convolution of two functions and explores radioactive material decay rates.

R Programming: Conditions, Loops, Functions & Graphics

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Relations in Computer Science

Explores the properties of relations in computer science, including equivalence relations and the partition of a set.

Python Modules and Functions

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.