logo

A S U

Diploma program details

2021-06-14

Basic Diploma in Bioinformatics

12 hours (3 credit hours for the course), which are as follows:

INFBD111: Introduction to Computers (Core)
INFBD121: Fundamentals of Programming (Core)
INFBD124: Database Management Systems (Core)
Graduation Project: (Core)
The number of hours of elective courses is 9 hours (3 credit hours for the course) from the following subjects:
Data Structures and Algorithm Analysis
INFBD113: Software Engineering
INFBD123: Computer Graphics & Data Visualization
INFBD114: Introduction to Bioinformatics
INFBD125: Bioinformatics Scripting and Programming
INFBD126: Mathematics 3 (Discrete Mathematics)
Artificial Intelligence
INFBD128: Current Issues in Bioinformatics, selected topics

Advanced Diploma in Bioinformatics

The number of compulsory courses hours is 12 hours (3 credit hours for the course), which are as follows:

INFBD211: Structural Bioinformatics
INFBD212: High Performance Computing for Bioinformatics
INFBD222: Biological Data Mining and Modeling
INFBD224: Project (Core)
The number of hours of elective courses is 9 hours (3 credit hours for the course) from the following subjects:
INFBD213: Pattern Recognitions
INFBD221: Drug Discovery and Development
INFBD223: Biological and Biomedical Database Systems
INFBD214: Modeling & Simulation
INFBD226: Mathematical Biology
INFBD225: Biostatistics
INFBD226: Current Issues in Bioinformatics and Selected Topics

Basic business computing analysis:

The number of compulsory courses hours is 12 hours (3 credit hours for the course), which are as follows:

INFBA111: Distributed database Systems(core)
INFBA223: Information Retrieval(core) Intelligent
INFBA113: (core) Business Intelligence and Analytics
INFBA114: Graduation Project. Project(core)
The number of hours of elective courses is 9 hours (3 credit hours for the course) from the following subjects:
INFBA121: Web Engineering
INFBA122: Distributed Computing
INFBA123: Advanced Software Engineering
INFBA126: Network Software Modeling
INFBA127: Modeling & Simulation
INFBA128: Advanced Data Mining
INFBA129: Selected Topics

Diploma in Advanced Business Computing Analysis:

The number of compulsory courses hours is 12 hours (3 credit hours for the course), which are as follows:

INFBA211: Cloud Computing and Big Data (core)
INFBA212: Data Analytics (core)
INFBA214: Graduation Project(core)
The number of hours of elective courses is 9 hours (3 credit hours for the course)
rom the following subjects:
INFBA221: Data Visualization
INFBA222: Intelligent Information Retrieval.
INFBA223: Web and Social Network Analytics)
INFBA224: Service Oriented Architecture.
INFBA225: Software Testing and Quality Assurance.
INFBA226: Data Privacy and Security.
INF231: Selected Topics