Online educational book
General chemistry
- Substance Substance and its structure, atom model
- Electronic configuration of the atom How many electrons are there in an atom and where to look for them?
- Ion Ions are charged particles, cations and anions
- Units of measurement A.E.M., mol, concentration
- Chemical bond Molecules, chemical compounds
- Thermochemistry Chemical thermodynamics, system, enthalpy
- Chemical reaction rate How long will the reaction take? What affects the reaction speed?
- Chemical equilibrium The equilibrium of reversible reactions. The Le Chatelier principle. Influence of external factors on equilibrium
- Redox reactions The degree of oxidation. Oxidizer. The restorer. Redox
- Laws of thermodynamics Measure of disorder, energy of the universe, Gibbs free energy
- Electrochemistry Electrochemistry. Electrolysis. Galvanic cells
- Connection classes The main classes of chemical compounds. Classification
- Valence By developing an understanding of how atoms form molecules, we learn about a new phenomenon
Inorganic chemistry
- Acids and bases Acid. Footing. Salt. pH. Buffer solution
- Simple substances Simple substances in the periodic table
Organic Chemistry
- Alkanes C-C. Saturated aliphatic hydrocarbons
- Cycloalkanes Cyclic elements. Cyclohexane
- Alkenes C=C. Olefins, double-bonded hydrocarbons
- Alkynes C≡C. Acetylene hydrocarbons. Hydrocarbons with a triple bond
- Halogenalkanes R-X. Halogen derivatives. Halogenated alkanes
- Alcohols, phenols and esters OH. R-O-R. Obtaining and applying
- Carboxylic acids COOH. Features. Structure. Basic acids
- Aldehydes and ketones R-C(=O)-H. R-C(=O)-R. Carbonyl group
- Amines Ammonia derivatives
- Acyl group R-C=O. Esters. Amides
- Aromatic hydrocarbons Substances with fragrance
Applied Chemistry
- Glue Types of glue. Reaction mechanisms.
Forecasting
- Linear regression The simplest concepts of regression analysis
- Time series analysis Smoothing and forecasting methods
- The Monte Carlo method It's time to get to work!
Data analysis
- Normal distribution Any process can be described by a normal distribution
- Poisson distribution The second most popular distribution
- Distribution law of a random variable How to structure the data obtained in the course of statistical research
- Parameters of the discrete distribution law Criteria for comparing distributions
- Statistical hypothesis Statistical hypothesis. Verification of statements. General questions
- Analysis of variance ANOVA
- Correlation analysis
- Normality of the distribution Checking the normality of the distribution
- Binomial distribution Victory or defeat
Metrology
- Basic concepts of metrology Where did metrology come from. Basic units of measurement
- Measurements Measurements. Uncertainty. Allowance
- Uncertainty Uncertainty - statistical and a priori information
- Total uncertainty Total and extended uncertainty. Uncertainty calculation algorithm
- Example of uncertainty Extended example of uncertainty calculation
- Effective degrees of freedom
Mathematics
- Coordinate systems What are the coordinate systems. Translation of the coordinate system.
- General topology Topology of space, notation and types of sets
- Limits The limit of the function. Properties of limits. Continuity of function
- Differentiation Derivative. Differentiability. Gradient. The Jacobi matrix.
- Differential Application Taylor's row. The extremum of the function. Conditional extremes - Lagrange multiplier method.
- Integration The area under the graph. Integral. Primitive.
Thermodynamics
- Basic concepts of thermodynamics Introductory article, basic concepts and terms are given
Digital electronics
- Shift register Converting a linear signal to a parallel one
Analog electronics
- Bipolar transistor Bipolar transistor, device and application as an amplifier
Household waste
- Solid household waste Garbage. Types of solid waste. The amount of solid waste. Cycle of life
- Incineration Incineration. Advantages and disadvantages. Device and processes. Incineration waste.
Artificial intelligence
- Machine learning Algorithms for self-learning programs
- Classical training Training on prepared data with and without a teacher
- Reinforcement Learning Self-study
- Ensembles Combining methods
- Neural networks Independent choice of algorithm
