Faculty: Graduate Programs Institute

The computer science specialization focuses on studying algorithms, data structures, programming languages, and computer systems. Students acquire skills in software development, database management, network security, artificial intelligence, and data analysis, preparing for careers in software engineering, data science, cybersecurity, and related fields.

Learning Objectives:

• Understand computer science and programming principles.
• Develop skills in software development and algorithm design.
• Learn database management techniques and data analysis.
• Explore network security and cybersecurity practices.
• Analyze artificial intelligence algorithms and machine learning.
• Develop critical thinking, problem-solving, and technical skills.
• Gain practical experience through projects and internships.

Main Outline:

1. Introduction to Computer Science - Overview of computer science principles, history, and current trends.
2. Programming Basics - Fundamentals of programming languages and software development.
3. Data Structures and Algorithms - Principles of data structures and algorithm design.
4. Database Management Systems - Techniques for database design, implementation, and management.
5. Network Security - Principles of network security and cybersecurity practices.
6. Artificial Intelligence - Basics of artificial intelligence and machine learning algorithms.
7. Data Analysis - Methods for analyzing and interpreting data to derive insights.
8. Software Engineering - Principles of software development lifecycle and project management.
9. Operating Systems - Understanding operating systems and their role in computer systems.
10. Computer Architecture - Principles of hardware and system design.
11. Web Development - Techniques for developing web applications and user interfaces.
12. Graduation Project - A comprehensive project applying computer science skills, such as software application development, conducting a data analysis project, or implementing a cybersecurity solution.

Assessment Methods:

• Analysis of computer science principles
• Programming projects
• Data structures and algorithms projects
• Database management projects
• Network security projects
• Artificial intelligence projects
• Data analysis projects
• Software engineering projects
• Operating systems projects
• Computer architecture projects
• Web development projects
• Final projects and presentations

Recommended Textbooks:

• "Introduction to Computer Science"
• "Programming Basics"
• "Data Structures and Algorithms"
• "Database Management Systems"
• "Network Security"
• "Artificial Intelligence"
• "Data Analysis"
• "Software Engineering"
• "Operating Systems"
• "Computer Architecture"
• "Web Development"

Prerequisites:

Basic knowledge of mathematics and logic and an interest in computer science.

Program Duration:

Typically 4 years to obtain a Bachelor of Science degree in Computer Science.

Certification:

Graduates can obtain certifications like:

• Certified Professional in JavaScript Development (IJSF)
• Certified Associate in Project Management (CAPM)
• Certified Information Systems Security Professional (CISSP)
• Certified Ethical Hacker (CEH)
• Certifications in specific programming languages and technologies

Target Audience:

Aspiring software engineers, data scientists, cybersecurity specialists, web developers, and professionals seeking careers in software development, data analysis, network security, artificial intelligence, and related fields. This specialization equips students with the technical, analytical, and problem-solving skills needed to excel in computer science, supporting careers in various roles in software development, data analysis, cybersecurity, artificial intelligence, and related fields.