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Industrial Internet of Things

Industrial Internet of Things

6B07101 Industrial Internet of Things

Core subjects : mathematics, physics.

Threshold Score (Grant): 75.

Objective of EP

The purpose of the educational program is intensive practice-oriented training in the direction of the industrial Internet of Things for the development of complex Internet of Things systems including sensor-based data collection modules, signal/data conversion and processing modules, secure data transmission systems, algorithms for data collection, processing and storage on the server, data visualization technologies, and feedback systems, control and/or automation of the technological process. In addition, the EP is also focused on the construction of cyber-physical systems (digital twins), industrial storage and intelligent data processing.

List of a specialist’s positions

  • Internet of Things Specialist;
  • Electrical and/or Electronics Engineer;
  • Hardware Engineer;
  • Control Systems Engineer;
  • Embedded Systems Engineer;
  • Research Assistant;
  • IoT Systems Software Engineer;
  • Cloud IoT Systems Engineer;
  • Robotics Engineer.

Learning outcomes of EP

  • To be able to express ideas and arguments on the topic of information technology in writing and orally, speak to an audience and defend a point of view in the state, English and in the language of interethnic communication.
  • Know the main classes of ICT systems, tasks and tools, understand the domain areas of their application and justify the choice when solving problems.
  • Applies theoretical and practical knowledge of natural sciences, methods of mathematical analysis and modeling, theoretical and experimental research to solve educational, practical and professional problems.
  • Is able to participate in the installation, commissioning, testing and commissioning of control and automation systems based on Internet of Things technologies, participate in the technological preparation of Internet of Things systems for various purposes and the principle of operation;
  • Proficient in the main modern chemical, physical and mechanical, electron-optical methods used in the development of Internet of Things systems, both for household and industrial purposes.
  • Has the skills of mathematical and cyber-physical modeling to build models of technological and production facilities, phenomena and systems, as well as descriptions of dynamic processes;
  • Is capable of setting up, configuring and pilot testing of embedded systems in laboratory conditions and at production facilities;
  • Is able to select typical sensors, embedded systems, data transmission, storage and visualization technologies for the design of a control system and/or automation of a technological process using the Internet of Things concept, as well as to pre-evaluate the economic efficiency of technological processes;
  • Know electronic and mechanical devices (and their components) of the Industrial Internet of Things; understand the principles of their operation and operation, the technology of connection to the network and management, understand the issues of industrial safety and occupational safety at work;
  • Applies knowledge and understanding at the professional level of the organization of the safety of the life of production personnel and the population, formulates arguments and solutions for their protection, including in the event of an emergency;
  • Applies knowledge and understanding of facts, phenomena, theories and complex dependencies between them in the development of functional and structural schemes of complex systems of the Internet of Things for industrial purposes using standard computer design tools;
  • Be able to design solutions for industrial Internet of Things systems, including the development of project documentation, the selection of the main nodes of complex industrial Internet of Things systems, the organization of information security protection;
  • Have a systemic understanding of the role of individuals and events in shaping the current situation; the ability to critically evaluate and position actions regarding complex social processes in light of historical factors;
  • To use a variety of physical activities to maintain and promote health in a meaningful way;
B063 – Electrical Engineering and Automation

Group of educational programs
Bachelor in engineering and technology on the educational program «6B07101 – Industrial Internet of Things»

Awarded degree
3 years

Training period

Program Structure

GED – General Education Disciplines
CC – Compulsory Component
EC– Elective Component
Courses chosen by the student
Course Cycle
Course Component
Course Code
Course Title
Academic Credits
1
GED
ЕС
TP 3113
Technological Entrepreneurship
5
2
GED
EC
Pred 2116
Entrepreneurship
5
3
GED
ЕС
Pred 2116 / TP 3113
Financial Literacy
5
4
GED
Courses chosen by the student
DMCS1
Digital Media, Culture and Society 1
5
5
GED
Courses chosen by the student
DMCS2
Digital Media, Сulturе and Society 2
5
6
GED
Courses chosen by the student
FGL1
Foreign (Gеrmаn) Language 1
5
7
GED
Courses chosen by the student
FGL2
Foreign (Gеrmаn) Language 2
5
8
GED
Courses chosen by the student
FCL1
Foreign (Chinese) Language 1
5
9
GED
Courses chosen by the student
FCL2
Foreign (Chinese) Language 2
5
10
GED
Courses chosen by the student
FKL1
Foreign (Korean) Language 1
5
11
GED
Courses chosen by the student
FKL2
Foreign (Korean) Language 2
5
12
GED
СС
HSS 1122 HSS 1132 (Soz 2109)
Sociology
2
13
GED
СС
Fiz 1112
Physical Education
8
14
GED
СС
HSS 1182 (MSP 2313)
Psychology
2
15
GED
СС
HSS1145 (SIK2022)
History of Kazakhstan
5
16
GED
СС
HSS 1132 MSP 2315
Political Science
2
17
GED
СС
HSS 1162 Cult 1111
Cultural Studies
2
18
GED
СС
K(R) Ya2105 K(R) Ya2106
Kazakh (Russian) Language
10
19
GED
СС
Fil 2102
Philosophy
5
20
GED
CC
K(R) Ya2105
Kazakh (Russian) Language 1
5
21
GED
СС
K(R) Ya2106
Kazakh (Russian) Language 2
5
22
GED
CC
HSS 1115 IYa 1103
Foreign Language 1
5
23
GED
CC
HSS 1215 FL2023
Foreign Language 2
5
24
GED
CC
IT1115 IKT 1105
Information and Communication Technologies
5
25
GED
CC
Fiz 1113
Physical Education
2
26
GED
СС
Fiz 1114
Physical Education
2
27
GED
CC
Fiz 2116
Physical Education
2
28
GED
СС
Fiz 1112
Physical Education
2
BD – Basic Disciplines
UC – University Component
EC – Elective Component
Course Cycle
Course Component
Course Code
Course Title
Academic Credits
1
BD
UC
MATH 1115 MA1 1202
Calculus 1
5
2
BD
UC
MA2 1203
Calculus 2
5
3
BD
UC
MATH 2125 LA 1201
Linear Аlgebra
5
4
BD
UC
MATH 2145 DM 2207
Discrete mathematics
5
5
BD
UC
ViS2212
Probability and Statistics
5
6
BD
UC
Ph1
Physics 1
5
7
BD
UC
Ph2
Physics 2
5
8
BD
UC
ICP
Introduction to Computing and Programming
5
9
BD
ЕС
ASiD 1205
Algorithms and Data Structure
5
10
BD
UC
CS 3145 KSC 3216
Computer Networks
5
11
BD
UC
OS 2207
Operating Systems
5
12
BD
ЕС
VPC 1212 / CP
Introduction to Programmig (C++) / C programming
5
13
BD
UC
CT
Circuit Theory
5
14
BD
Elt 2302
Electronics
5
15
BD
DLD5
Digital Logic Design
5
16
BD
UC
PM
Microcontroller Programming
5
17
MD
UC
PVS 3307
Embedded Systems Design
5
18
BD
ЕС
TES 2207
Machine Learning Algorithms / Digital Signals Processing
5
19
BD
UC
CS1
Control Systems 1
5
20
BD
UC
CS2
Controls Systems 2
5
21
BD
ЕС
SiS 2303
Signals and Systems
5
22
BD
IC
Industrail Communication
5
23
BD
AK 3221
Academic Writing
5
24
НП
UC
MiII 3222
Research Methods and Tools
5
25
BD
UC
UP SIS 1211
Educational Practice
2
MD – Major Disciplines
UC – University Component
EC – Elective Component
Course Cycle
Course Component
Course Code
Course Title
Academic Credits
1
MD
UC
EOS
Embedded Operating Systems
5
2
MD
ЕС
DBMS / MDP / IDT
Database Management Models and Systems / Mechanical Design and Prototyping / Introduction to Digital Twins
5
3
MD
ЕС
IA / IR
Cloud Computing / Industrial Automation / Introduction to Robotics
5
4
MD
UC
IS
Industrial Safety
4
5
MD
UC
SIoT
Sensors for IoT
4
6
MD
UC
NPIoT
Network Protocols for IoT
5
7
MD
UC
DIoT
Development of IoT Systems
5
8
MD
ЕС
CPIP / RMSD / IST
Cyber-Physical Modeling of Industrial Processes / Industrial Storage Technology / Robotic and Mechatronic System Design
5
9
MD
UC
PP 2305
Industrial Practice
4
10
MD
UC
PP 3306
Industrial Practice
8
11
МD
UC
PP 3307
Undergraduate Practice
4
12
Qualification Examination
Writing Diploma Work (Project) and Defence / Comprehensive Examination
8

Documents

Academic disciplines

Cycle of general education disciplines

Compulsory component

Cycle of general education disciplines

Elective component

Cycle of major disciplines

University’s component

Cycle of major disciplines

Elective component

Cycle of fundamental disciplines

University’s component

Cycle of fundamental disciplines

Elective component

Additional types of learning

Contacts

Admission Committee

+7 (7172) 64-57-10
info@astanait.edu.kz

Mon-Fri 9:00 – 18:00

Astana IT University