Introduction to Algorithms

This course focuses on learning several rules to improve speaking skills in important situations. Learners can master effective presentation methods for various contexts, such as interviews, thesis defenses, and oral exams.

This course introduces major approaches to symbol-based music theory and musicology. Learners will explore various topics, including music theory algorithms, music generation, and machine learning.

This course covers differentiation, integration, and vector calculus for multivariable functions. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics, and computer graphics.

This course focuses on learning the basics of experimental physics and gaining a deep understanding of the relationship between theory and experiment in atomic and molecular physics. Students will explore phenomena that have contributed to the development of modern physics through various experiments.

This course provides an in-depth study of the biochemical mechanisms that form the basis of biological processes. Learners will explore the workings of macromolecular machines such as ribosomes, proteasomes, and fatty acid synthases.

This course covers differential equations and the MATLAB® ODE suite in depth. Learners can understand the principles and applications of differential equations and develop problem-solving skills using MATLAB.

In this course, you will explore how matter is composed and why it behaves the way it does, learning how to understand the physical world through chemical intuition. Learners will gain an understanding of the electronic structure of matter and the various properties that arise from it.

This course includes demonstrations used to explain the theories and applications of lasers and optics. Learners can vividly observe and understand the fundamental phenomena of lasers.

This course is an introduction to the phenomenology and experimental foundations of nuclear and particle physics, covering fundamental forces, particles, and composites. Emphasis is placed on the experimental establishment of key models, as well as the theoretical tools and experimental equipment used for this purpose.

This course covers the scientific principles of quantitatively assessing the risk of airborne transmission of COVID-19. You can understand the factors of transmission in indoor spaces and their interactions.

This course covers the fundamental concepts of electromagnetism and teaches how to connect theories related to Maxwell's equations with actual physical phenomena. Students will come to understand physical meanings through the mathematical analysis of electromagnetics.

This seminar focuses on learning basic conversational Italian, Italian culture, and the Mediterranean diet. Participants can pick up the Italian language and culture bit by bit while preparing delicious dishes.

This course provides an interactive introduction to discrete mathematics for computer science and engineering. Learners will study fundamental mathematical concepts, discrete structures, and discrete probability theory, developing the ability to apply these to various fields of computer science.

This course emphasizes the structural principles of digital systems and introduces architectures commonly applied across various technologies. Learners will cover a wide range of topics, including multi-level implementation strategies, the definition and mechanisms of new primitive elements, and performance measurement.

This course helps you learn core concepts in Science, Technology, Engineering, and Mathematics (STEM). Through these concepts, students will build a foundation to understand and master more challenging content.

This course is the first in the undergraduate quantum physics sequence and introduces the fundamental features of quantum mechanics. It covers experimental foundations, wave mechanics, and the Schrödinger equation in one and three dimensions.

This course explores the nature of intelligence, how the brain generates it, and how it can be replicated in machines. You will learn through an integrated approach that combines cognitive science, neuroscience, computer science, and artificial intelligence.

This course covers the tools of probability theory and statistical inference, providing essential content for data analysis and understanding. Learners can acquire methods for utilizing data in various fields.

This course covers the practical impact that quantitative methods have had on today's most important companies. Learners will study key quantitative methods that create a competitive advantage, such as data mining, dynamic optimization, and simulation.

This calculus course covers the differentiation and integration of functions of a single variable, concluding with a brief discussion of infinite series. This course serves as the foundation for various scientific fields, including physics, engineering, and economics.

Through this course, you can systematically learn core concepts such as Basic Sorting Algorithms, Advanced Sorting Algorithms, Special Purpose Sorting Algorithms, and Practical Considerations.

Through this lecture, you can systematically learn core concepts such as the basic principles and implementation of stacks, stack applications: function calls (Call Stack), stack applications: expression evaluation, stack applications: parenthesis matching, and stack applications: implementing Undo/Redo functions.

The core of software development ultimately lies in 'how quickly data can be found and processed.' Among numerous algorithms, the Hash Table is an essential tool that forms the foundation of modern programming languages and system architectures. This lecture goes beyond simple theoretical explanations to cover how students can 'immediately' resolve specific performance bottlenecks encountered in practice using hash tables.