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Real-Time Frontend

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This specialty was created for those who are interested in front-end development.

During the first semester, we focus on the essential fundamentals, such as basic concepts of math and programming, which are the same for all programs.

In the Math & Statistic course, students will learn about discrete mathematics and the basics of probability theory. Algorithms & Data Structures covers the basic algorithms on graphs, data structures, and recurrence relations. Also, during the first semester, students learn how to process and analyze data, and build simple models based on this data in the Data Science course. In the Advanced Programming Languages course, students will learn about programming languages and their fundamental differences.

During the second semester, you will first get acquainted with the main tools of Front-end development in the Introduction to Front-End Development course. In parallel with this, you will learn JavaScript, React, TypeScript and Angular in the Frontend programming languages course, as well as learn the principles of UX / UI Design. The result of the semester will be a written group project on the Real-Time Frontend course.

 

Semester 1

Math & Statistics

  • Set Theory

  • Relations and Functions

  • Logic and Induction

  • Sequences

  • Number Theory

  • Combinatorics

  • Recurrence relations

  • Counting techniques

  • Graph Theory

  • Graphs and Numbers

  • Growth of Functions

  • The Probability of an Event

  • Discrete Random Variables

  • Continuous Probability

  • Conditional Probability

  • Distributions and Approximation

  • Sampling Theory

  • Statistics

  • Advanced Algebra

Algorithms and Data Structures

  • Sorting and Searching

  • Graphs (basics)

  • BFS and DFS

  • Dynamic Programming

  • LIS, LCS and other 2D problems

  • Heaps

  • Dijkstra, Floyd, Bellman-Ford

  • DFS applications

  • Knapsack problem

  • Dynamic programming over subsets

  • Amortized Time Complexity (Queue via Stack)

  • Disjoint Set Union

  • Dynamic programming on a tree

  • Data Structures. RSQ/RMQ, Sqrt Decomposition, Sparse Table

  • Minimum Spanning Trees

  • Matching

  • Segment Trees

  • Trie

  • Binary Search Trees

  • LCA

  • What is NP and how is it useful?

  • Strings

Data Science

  • AI Introduction

  • Machine Learning Basics

  • ML as a task of optimization

  • Hyperparameters

  • Probabilistic Approach in ML

  • Models Validation

  • Linear regression

  • Logistic regression

  • Decision tree

  • SVM algorithm

  • Naive Bayes algorithm

  • KNN algorithm

  • K-means

  • Random forest algorithm

  • Dimensionality reduction algorithms

  • Gradient boosting algorithm and AdaBoosting algorithm

  • Data Preprocessing

  • Time Series Forecasting

  • Ranking task

Advanced Programming Languages

  • The dawn of programming

  • Grammars

  • Programming Language Spectrum

  • Programming paradigms

  • Programming language syntax

  • ANTLR

  • Compilation and interpretation

  • Binding and memory management

  • Mutable vs. immutable data structures

  • Data-Oriented Programming

  • LLVM

  • Linking

  • Introduction to Clojure

  • Clojure macros

  • Languages for data

  • Constraint programming

  • Lua

  • Elixir

  • Learning and coding with LLMs

Semester 2

Introduction to Front-End Development

  • HTML, CSS and Javascript

  • Web pages, websites and web applications

  • Popular development tools

  • Frameworks and libraries

  • APIs and services

  • HTML documents, linking documents, images in HTML, HTML and tables, forms

  • Document Object Model

  • Web accessibility

  • Selection and styling, box model, responsive design

  • Single page application

Frontend programming languages

  • JavaScript. Programming paradigms, DOM, testing

  • TypeScript. OOP, decorators, modules, types, interfaces, generics, namespaces

  • React. React components, props, children, dynamic calculation, lists, keys, common hooks, state, lifestyle, work with forms, router, context, useReducer

  • Redux. Redux toolkit, middleware, toolkit-query, react-query

  • Node. Web server, configuration/dependencies, env, event loop, errors, modules, npm, typescript, file system (path, env), express, routing, postman, authentication, middleware

  • MongoDB. NoSQL, installing (compass), populating data, CRUD, relations, joins

UX/UI Design

  • Familiarity with UX and UI

  • UX goals + quality components

  • UX process

  • Figma

  • Design process

  • Audience and basic researches

  • Tools of Empathy

  • Structure and navigation

  • Composition

  • Images and colors

  • Typography and Icons

  • Basic UI elements

  • UI Kit and design system

  • Mobile apps

  • Complex website design

  • Animation, animation Figma, animation Aninix

  • Prototyping and testing

Real-Time Frontend

  • Project fundamentals, creating a modern HTML structure for a web application

  • UX, validating forms and writing unit tests

  • Table reservation system using React

  • Development of a group project together with a team from the Real-Time Backend specialty

ALL PROGRAMS

Check admissions to learn if you are eligible and enrol.

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