Data Acquisition and Practical Databases
BASIC DATA
course listing
A - main register
course code
EVR0280
course title in Estonian
Andmehõive ja praktilised andmebaasid
course title in English
Data Acquisition and Practical Databases
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
autumn - spring
language of instruction
Estonian
English
Prerequisite(s)
Prerequisite 1
Digital Literacy (RAM0570)Study programmes that contain the course
code of the study programme version
course compulsory
no
Structural units teaching the course
EV - Virumaa College
Timetable link
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Aine eesmärk on anda info- ja andmehõivesüsteemide ning nendes kasutatavate elektroonsete vahendite iseloomustus nii nende kasutamise kui ka arendamise, väljatöötamise ja tootmise seisukohalt; ning teadmisi eri andmemudelite põhimõtetest, teadmisi ja oskuseid andmebaasikeelest SQL.
course aims in English
The aim of this course is to introduce the characteristics and parameters of data acquisition systems and its electronic components taking into account their different applications and also development, designing and production. To give knowledge about the principles of different data models as well as to give knowledge and skills about the database language SQL.
learning outcomes in the course in Est.
Aine läbinud üliõpilane:
- tunneb info- ja andmehõive põhimõisted ja meetodid;
- tunneb andmetöötluse ja esmaanalüüsi põhimõtteid;
- teab erinevaid andmemudeleid, nende alusel andmete organiseerimise erinevusi ning ülesandeid, mille lahendamiseks need sobivad või ei sobi;
- teab algtasemel andmebaasisüsteemide ülesehtitust ja funktsionaalsust;
- omab algteadmisi andmekäsitluskeele SQL kasutamiseks.
- tunneb info- ja andmehõive põhimõisted ja meetodid;
- tunneb andmetöötluse ja esmaanalüüsi põhimõtteid;
- teab erinevaid andmemudeleid, nende alusel andmete organiseerimise erinevusi ning ülesandeid, mille lahendamiseks need sobivad või ei sobi;
- teab algtasemel andmebaasisüsteemide ülesehtitust ja funktsionaalsust;
- omab algteadmisi andmekäsitluskeele SQL kasutamiseks.
learning outcomes in the course in Eng.
Upon completion a student:
- knows the basic concepts and methods of information and data acquisition;
- knows the principles of data processing and primary analysis;
- knows different data models, their differences in organizing data, and tasks where they are suitable or not suitable to use the models;
- knows the configuration and functionality of database systems at the initial level;
- has basic knowledge of the data-processing language SQL.
- knows the basic concepts and methods of information and data acquisition;
- knows the principles of data processing and primary analysis;
- knows different data models, their differences in organizing data, and tasks where they are suitable or not suitable to use the models;
- knows the configuration and functionality of database systems at the initial level;
- has basic knowledge of the data-processing language SQL.
brief description of the course in Estonian
Füüsikaliste suuruste mõõtmiste ja andmehõive aluseid. Mõõteinfo anduritelt kogumine, selle töötlemine, salvestamine. Andmehõivesüsteemide põhimõisted. Andmebaaside põhimõisted. Andmebaasisüsteem. Andmemudelid, sh NoSQL süsteemides kasutatavad andmemudelid. Relatsioonilised andmebaasisüsteemid. Sissejuhatus SQL-keelde. Päringud SQL keeles. NoSQL andmebaasisüsteemide ülevaade.
brief description of the course in English
Basics of physical values measuring and data acquisition. Collecting measurements information from sensors, processing and storing it. Basic concepts of data acquisition systems. Basic concepts of databases. Database system. Data models, including data models used in NoSQL systems. Relational database systems. Introduction to SQL language. Queries in SQL language. Overview of NoSQL database systems.
type of assessment in Estonian
eristav hindamine
type of assessment in English
grading
independent study in Estonian
-
independent study in English
-
study literature
- An Introduction to Data Acquisition, Jason King
- Connolly, Thomas M. Database systems: a practical approach to design, implementation, and management / Thomas M. Connolly, Carolyn E. Begg
- Connolly, Thomas M. Database systems: a practical approach to design, implementation, and management / Thomas M. Connolly, Carolyn E. Begg
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
8.0
practices
2.0
practices
12.0
exercises
0.0
exercises
0.0
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
Course-teacher pairs of the corresponding version are missing!