Mathematics, Statistics & Data Science I

  • - algebra: percentages; inequalities;
    - linear and quadratic equations and functions; non-linear, exponential, logarithmic equations;
    - differentiation rules; use of derivatives in analyzing functions;
    - functions: properties of functions; polynomial, exponential, and logarithmic functions;
    - linear systems: linear systems of two and more equations; Gauss-Jordan method; construc-tion of linear systems based on linguistically provided information;
    - linear programming: graphical method; construction of LP problems based on linguistically provided information;
    - probability theory: basic definitions; approaches to assigning probabilities; rules for compu-ting probabilities;
    - combinatorics: general counting method; permutations; combinations