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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
VBM613
DATABASE LABORATORY
E
1
0
2
3
VBM614
SOFTWARE QUALITY ASSURANCE LABORATORY
E
1
0
2
3
VBM615
KNOWLEDGE TOOLS and SYSTEMS LABORATORY
E
1
0
2
3
VBM616
SOFTWARE ENG. LAB.
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
VBM643
INTELLECTUAL PROPERTY RIGHTS
E
3
0
3
6
VBM644
INFORMATION SYSTEMS QUALITY MANAGEMENT
E
3
0
3
6
VBM645
SPECIAL TOPICS IN INFORMATION SYSTEMS
E
3
0
3
6
VBM646
SOFTWARE PROJECT MANAGEMENT
E
3
0
3
6
VBM647
SOFTWARE CONFIGURATION MANAGEMENT
E
3
0
3
6
VBM648
SOFTWARE VERIFICATION, VALIDATION, and TEST MANAGE
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
VBM662
HUMAN-COMPUTER INTERACTION
E
3
0
3
6
VBM668
SPEECH RECOGNITION
E
3
0
3
6
VBM671
SEMANTIC NETWORKS
E
3
0
3
6
VBM672
WEB APPLICATION DEVELOPMENT
E
3
0
3
6
VBM673
DISTRIBUTED SOFTWARE DEVELOPMENT
E
3
0
3
6
VBM674
CLOUD COMPUTING and VIRTUALIZATION
E
3
0
3
6
VBM675
WEB TECHNOLOGIES
E
3
0
3
6
VBM677
SERVICE ORIENTED ARCHITECTURE and APPLICATIONS
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