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(Associate's Degree)
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Data and Knowledge Engineering(Non-Thesis)
D.1. General Information about Program
D.2. Qualification Awarded
D.3. Level of Qualification
D.4. Provisions for Registration
D.5. Qualification Requirements and Regulations
D.6. Specific Arrangements for Recognition of Prior Learning
D.7. Goals and Objectives
D.8. Course Structure Diagram with Credits
D.9. Key Learning Outcomes
D.10. Course and Program Competencies Matrix
D.11. NQF-HETR/Program Competencies Matrix
D.12. Occupational Profiles of Graduates with Examples
D.13. Access to Further Studies
D.14. Profile of the Programme
D.15. Examination Regulations, Assessment and Grading
D.16. Graduation Requirements
D.17. Education Type
D.18. Programme Director
Contact Us
Data and Knowledge Engineering(Non-Thesis)
Course List
Any Semester/Year
CODE
COURSE NAME
M/E
T
P
C
ECTS
VBM695
TERM PROJECT
M
0
2
0
30
CODE
COURSE NAME
M/E
T
P
C
ECTS
BBG643
INTELLECTUAL PROPERTY RIGHTS
E
3
0
3
6
BBS645
INFORMATION SYSTEMS QUALITY MANAGEMENT
E
3
0
3
6
BBS662
HUMAN-COMPUTER INTERACTION
E
3
0
3
6
BBS670
CLOUD COMPUTING and VIRTUALIZATION
E
3
0
3
6
BBS673
WEB APPLICATION DEVELOPMENT
E
3
0
3
6
BBS675
WEB TECHNOLOGIES
E
3
0
3
6
BBS678
SERVICE ORIENTED ARCHITECTURE and APPLICATIONS
E
3
0
3
6
BYZ614
SOFTWARE QUALITY ASSURANCE LABORATORY
E
1
1
2
3
BYZ616
SOFTWARE ENG. LAB.
E
1
1
2
3
BYZ646
SOFTWARE PROJECT MANAGEMENT
E
3
0
3
6
BYZ647
SOFTWARE CONFIGURATION MANAGEMENT
E
3
0
3
6
BYZ648
SOFTWARE VERIFICATION, VALIDATION, and TEST MANAGE
E
3
0
3
6
BYZ673
DISTRIBUTED SOFTWARE DEVELOPMENT
E
3
0
3
6
VBM 601
DATA ANALYTICS and DECISION MAKING - I
E
3
0
3
6
VBM 602
DATA ANALYTICS and DECISION MAKING - II
E
3
0
3
6
VBM613
DATABASE LABORATORY
E
1
0
2
3
VBM615
KNOWLEDGE TOOLS and SYSTEMS LABORATORY
E
1
0
2
3
VBM617
SCIENCE of SERVICE LABORATORY
E
1
0
2
3
VBM619
WEB TECHNOLOGIES LABORATORY
E
1
0
2
3
VBM620
SIMULATION METHODS
E
3
0
3
6
VBM621
STATISTICAL PROCESS CONTROL
E
3
0
3
6
VBM622
SOFT COMPUTING METHODS
E
3
0
3
6
VBM636
INTRODUCTION TO INFORMATION MANAGEMENT
E
3
0
3
6
VBM642
BUSINESS PROCESS ANALYSIS and MANAGEMENT
E
3
0
3
6
VBM645
SPECIAL TOPICS IN INFORMATION SYSTEMS
E
3
0
3
6
VBM651
DATA ORGANIZATION METHODS
E
3
0
3
6
VBM652
DATA MODELLING CONCEPTS
E
3
0
3
6
VBM653
DATA and INFORMATION SECURITY
E
3
0
3
6
VBM654
DATABASE MANAGEMENT SYSTEMS
E
3
0
3
6
VBM655
STATISTICAL DATA ANALYSIS
E
3
0
3
6
VBM656
DATA ARCHITECTURES
E
3
0
3
6
VBM657
DATA WAREHOUSES
E
3
0
3
6
VBM660
MULTIMEDIA and MULTIDIMENSIONAL DATA MANAGEMENT
E
3
0
3
6
VBM661
DATA VISUALIZATION
E
3
0
3
6
VBM668
SPEECH RECOGNITION
E
3
0
3
6
VBM669
IMAGE PROCESSING
E
3
0
3
6
VBM671
SEMANTIC NETWORKS
E
3
0
3
6
VBM681
INFORMATION RETRIEVAL SYSTEMS
E
3
0
3
6
VBM682
NATURAL LANGUAGE PROCESSING
E
3
0
3
6
VBM683
MACHINE LEARNING
E
3
0
3
6
VBM684
DATA MINING
E
3
0
3
6
VBM685
STATISTICAL SIGNAL PROCESSING
E
3
0
3
6
VBM686
COMPUTER VISION
E
3
0
3
6
VBM687
PATTERN RECOGNITION METHODS
E
3
0
3
6
VBM688
FUNDAMENTALS of ARTIFICIAL INTELLIGENCE
E
3
0
3
6
VBM689
APPLICATIONS of DEEP LEARNING
E
3
0
3
6
PROGRAM ECTS SUMMARY
Semesters ECTS credits in total for Must Courses
60
Semesters ECTS credits in total for Elective Courses
30
Sum of ECTS credits required for graduation from the program
90