Introduction

Department Mission

The mission of the B.S. Computer Science Program is:

The students will be trained to meet future challenges in computing and instill in them the ability to work effectively, as an individual or in a team, on multifaceted and/or multidisciplinary settings. To achieve this goal, the curriculum has been designed to provide a balanced mixture of theory and laboratory at foundation as well as advanced levels to make the graduate capable of sound professional decisions.

Academic Programs

The Department of Computer Science offers the following program:

• B.S. Computer Sciecne
• B.S. Computer Sciecne (Specilization in Data Science)
• B.S. Computer Sciecne (Specilization in Artificial intelligence)

Program Educational Objectives (PEOs)

PEO-1: Apply computing knowledge, skills and tools to develop solutions for real-world problems
PEO-2: Exhibit the ability to work in teams, communicate effectively and keep abreast of the latest trends in computing
PEO-3: Conduct professional practises considering societal and ethical aspects

PLO's

Program Learning Outcomes (PLOs)	Computing Professional Graduate
1.    Academic Education	To prepare graduates as computing professionals
2.    Knowledge for Solving Computing Problems	Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements
3.    Problem Analysis	Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines
4.    Design/ Development of Solutions	Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations
5.    Modern Tool Usage	Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations
6.    Individual and Team Work	Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings
7.    Communication	Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions
8.    Computing Professionalism and Society	Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice
9.    Ethics	Understand and commit to professional ethics, responsibilities, and norms of professional computing practice
10.             Life-long Learning	Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional

Career Opportunities

The knowledge and skills gained by a computer science graduate are highly valued in the modern age. The scope of computer science is rapidly increasing, offering to its graduates a wide range of opportunities in many different industries such as software houses, data warehouses, multinational companies, governmental agencies, universities and healthcare institutions. Computer science graduates can work as IT consultants, applications programmers, sales and business developers, cybersecurity consultants, information security specialists, information systems managers, database administrators, multimedia programmers, systems analysts, games developers etc.

Research

The department is actively pursuing research in the following areas:

• Optimization Algorithms
• Human-Computer Interaction (HCI)
• Agile Software Development
• Software Outsourcing
• Semantic Web
• Software Testing
• Web Preservation
• Artificial Intelligence and Machine Learning
• Software-Defined Networking (SDN)
• Communications Network

Laboratories

The department has the following state-of-the-art laboratories:

• Computing Lab
• Programming Lab
• Networking Lab
• Artificial intelligence (AI) & Data Science (DS) Lab