DEVELOPMENT OF THE FIRST PART OF THE AUTOMATED SYSTEM FOR TEACHING COMPUTATIONAL COMPLEXITY OF ALGORITHMS COURSE
Journal Title: Современные информационные технологии и ИТ-образование - Year 2017, Vol 13, Issue 2
Abstract
Previous articles [1-2] focus on researching the software for developing the automated teaching system (ATS) “Algorithm complexity analysis”. This article addresses issues concerning overall learning process features and learning how to produce symbol scroll tables. The main focus of this article is symbol transformation correctness algorithms.
Authors and Affiliations
Vadim Rublev, Murad Yusufov
Keywords
Related Articles
- EP ID EP320547
- DOI 10.25559/SITITO.2017.2.237
- Views 80
- Downloads 0
NEURAL NETWORK MODEL OF PREDICTING THE RISK GROUP FOR THE ACCESSION OF STUDENTS OF THE FIRST COURSE
Many Russian universities face the problem when applicants who successfully passed a single state examination in core disciplines become outsiders as a result of the first academic period. Especially it concerns the spec...
RESEARCH OF PROHIBITED CONTENT DISTRIBUTION MECHANISMS IN THE DARKNET
In this paper was researched such an issue as prohibited content spreading in the Darknet. Author reviews different ways of data distribution and effective actions against them. The article describes an experiment which...
REFACTORING OF THE OPENVZ DRIVER FOR THE OPENNEBULA CLOUD PLATFORM WITHIN THE JINR CLOUD INFRASTRUCTURE PROJECT
This article explores the possibilities of using OpenVZ virtualization technology in the cloud infrastructure of the Joint Institute for Nuclear Research (JINR), built on the OpenNebula platform. OpenNebula is an open a...
D-LINK SOLUTIONS FOR THE ORGANIZATION OF THE EDUCATIONAL PROCESS IN THE FIELD OF INFO-COMMUNICATIONS AND TELECOMMUNICATIONS INFRASTRUCTURE OF DATA PROCESSING CENTERS
The article is devoted to the new structure of the course “Fundamentals of Network Technologies”, which has acquired a complete look in the form of three parts: • “Basics of network technologies. Part 1: Data transmissio...
TABULAR ARTIFICIAL NEURAL NETWORK IMPLEMENTATION OF RADIAL BASIS FUNCTIONS FOR THE SAMPLES CLASSIFICATION
The development and study of a new constructive algorithm for constructing models for sample classification using an artificial neural network with radial basis functions in a Microsoft Excel spreadsheet environment with...