Inflearn - Nền tảng Nghề nghiệp Trọn đời

This course surveys the core perceptual and cognitive abilities of the human mind and asks how they are implemented in the brain. Key themes include the representations, development, and degree of functional specificity of these components of mind and brain.

This course delves into the fundamental principles of front-end processes essential for fabricating devices in silicon integrated circuits. Learners will explore advanced physical models and practical aspects of key processes such as oxidation, diffusion, ion implantation, and epitaxy, alongside emerging materials like Silicon Germanium (SiGe).

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

This course covers the fundamental principles of statistical mechanics, which takes a probabilistic approach to the equilibrium properties of large degrees of freedom. You will study various topics including thermodynamics, probability theory, and classical statistical mechanics.

This course examines the neural bases of sensory perception, focusing on the physiological and anatomical studies of the mammalian nervous system alongside behavioral studies of animals and humans. Learners will explore topics such as visual pattern recognition, color and depth perception, auditory responses, and somatosensory perception.

This graduate course delves into the fundamental principles of Einstein's general theory of relativity, exploring topics such as differential geometry, black holes, and cosmology. Learners will engage with both the theoretical foundations and practical applications of general relativity.

This course introduces the fundamental principles of biochemistry, molecular biology, and genetics to understand the functions of living systems. Learners will acquire the knowledge necessary to understand human health and therapeutic interventions through examples from chemical biology and 21st-century molecular genetics.

This is a foundational chemistry course for students with a strong background in chemistry. It focuses on the basic principles of the electronic structure of atoms and molecules, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis.

In this course, students will learn the concepts of vibrations and waves and master the methods for mathematically explaining phenomena occurring in various physical systems. Students will explore topics such as mechanical vibrations, sound waves, electromagnetic waves, optics, and gravitational waves.

This course covers the theory of special relativity proposed by Albert Einstein in 1905, which has profoundly influenced our perspective on physics, space, and time. Learners will explore various concepts such as length contraction, time dilation, and the Lorentz transformation.

This course covers university-level first-year calculus. We focus intensively on single-variable function differentiation and learn various differentiation methods and formulas. As practical applications of differentiation, we select and study cases such as linear approximation, function increase and decrease, and optimization problems.

This course delves into advanced principles of statistical mechanics, focusing on thermodynamics and modern statistical physics topics. Learners will explore concepts such as phase transitions, critical phenomena, and the hydrodynamic limit, building on foundational knowledge from the first term.

This course provides an introduction to the chemistry of biological, inorganic, and organic molecules. The emphasis is on basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis.

This course explores how citizen science can support community actions to combat climate change. Participants will learn about framing problems, designing ways to gather data, and gathering their own field data, with a focus on natural gas leaks as a significant source of methane emissions.

This course provides essential tools and concepts for using R, a powerful software for statistical computing and graphics, alongside Geographic Information Systems (GIS). Learners will explore R's interface, data handling, and linear modeling, while also integrating GIS applications to enhance their data analysis skills.

This course explores the formation of chemical elements from the Big Bang to the life cycles of stars. Learners will study how elements like carbon and iron originate in the cosmos and their significance in the universe.

This course builds on the foundations of programming in Python, emphasizing computational thinking and data science principles. Learners will explore how computation can effectively solve real-world problems, empowering them to write functional programs for various applications.

This course covers fundamentals of subsurface flow and transport, emphasizing the role of groundwater in the hydrologic cycle, the relation of groundwater flow to geologic structure, and the management of contaminated groundwater. The class includes laboratory and computer demonstrations.

This course covers the contributions of biochemistry to understanding the structure and function of organisms, tissues, and cells. Learners will explore the chemistry of biomolecules, enzymatic processes, and metabolic pathways essential for life.

This undergraduate class introduces students to the physics governing the circulation of the ocean and atmosphere, focusing on the processes that control the planet's climate.