Faculty of Engineering & Technology

Computer & Intelligent Systems Engineering Program

About the program:

The Computer & Intelligent Systems Engineering Program at Future University in Egypt is a comprehensive, four-year undergraduate curriculum comprising 144 credit hours (CH) distributed across eight semesters. The program blends rigorous foundational theory with specialized coursework and practical training, allowing students to tailor their education to their professional interests.

Curriculum Structure

The program is structured around four core educational modules, supplemented by practical training and a capstone graduation project:

• University Requirements (12 CH): Encompasses general education coursework, including two English language courses and "Human Rights" course in addition to a selection of three elective courses out of six.
• Faculty Requirements (30 CH): Establishes a foundational background in engineering and sciences through coursework in mathematics, physics, chemistry, mechanics, engineering graphics, production technology, computer programming, and humanities.
• Department Requirements (60 CH): Covers core electrical engineering disciplines, including electrical circuits, electronics, digital logic and Microprocessors and Microcontrollers, electromagnetic fields, signals and systems, electrical measurements, control systems, advanced mathematics, and solid-state physics.
• Program Requirements (42 CH): Focuses on specialized Computer and Intelligent Systems Engineering topics divided into:
- - Compulsory Courses (27 CH): Builds a robust core in critical areas such as designed to build advanced technical expertise: Artificial Intelligence (AI), Machine Learning, Deep Learning, Advanced Computer Programming, Digital Image Processing, Data Structures and Algorithms, Operating Systems, Database Management Systems, Data Communication, Data Security, and Computer Networks.
- - Elective Courses (15 CH): Enables advanced specialization through targeted study in subjects such as designed to provide advanced instruction alongside their respective prerequisites: Real-time Embedded Systems, Robotics, Software Engineering, Algorithms, Data Mining, Big Data Analysis, Natural Language Processing (NLP), Cloud Computing, High-Performance Computing (HPC), Computer Vision, Reinforcement Learning, Autonomous Vehicles, Intelligent Control Systems, Computational Intelligence.

Practical Training & Capstone Project

• Graduation Project (5 CH): Executed over two semesters, requiring students to apply comprehensive technical knowledge to solve complex engineering problems.
• Practical Training (0 CH): Requires the completion of 150 training hours divided into two modules of 75 hours each to bridge academic theory with real-world industry experience.

Program Mission

The Computer and Intelligent Systems Engineering Program provides a promising academic and cultural environment with international standards that enables the qualifying of a distinguished engineer who can compete locally and regionally and comply with the requirements of the labor market professionally and ethically, stimulates innovative scientific research, contributes to community service and sustainable development

Program Aims (PAs)

The Computer & Intelligent Systems Engineering graduates are equipped to:

• Identify, formulate, and solve complex Computer and Intelligent Systems engineering problems by applying principles of engineering, science,and mathematics.
• Apply Computer and Intelligent Systems engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
• Communicate effectively with a rangeof audiences.
• Recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must considerthe impact of Computer and Intelligent Systemsengineering solutions in global, economic, environmental, and societalcontexts.
• Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
• Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
• Acquire and apply new knowledge as needed, using appropriate learningstrategies.
• Use techniques, skills and modern engineering tools necessary for Computer and Intelligent Systems engineering practice.
• Demonstrate leadership qualities, business administration and entrepreneurial skills.
• Recognize his/her role in promotingthe engineering field and contribute to the development of the profession and the community.

Graduate Attributes (GAs)

The graduate of the computer and intelligent systems engineering program must:

• Master a wide spectrum of engineering knowledge and specialized skills and can apply acquired knowledge using theories and abstract thinking in real life situations.
• Apply analytic, critical, and systemic thinking to identify, diagnose and solve engineering problems with a wide range of complexity and variation.
• Behave professionally and adhere to engineering ethics and standards. Recognize his/her role in promoting the engineering field and contribute in the development of the profession and the community.
• Work in and lead a heterogeneous team of professionals from different engineering specialties and assume responsibility for own and team performance.
• Recognize his/her role in promoting the engineering field and contribute in the development of the profession and the community.
• Value the importance of the environment, both physical and natural, and work to promote sustainability principles.
• Use techniques, skills and modern engineering tools necessary for engineering practice.
• Assume full responsibility for own learning and self-development, engage in lifelong learning and demonstrate the capacity to engage in post- graduate and research studies.
• Communicate effectively using different modes, tools and languages with various audiences; to deal with academic/professional challenges in a critical and creative manner.
• Demonstrate leadership qualities, business administration and entrepreneurial skills.

Career opportunities

Graduates of the Computer and Intelligent Systems (CIS) Engineering Program are equipped with a strong background in hardware-software integration, artificial intelligence, embedded systems, and software engineering. This comprehensive curriculum prepares students for diverse career paths across tech industries, intelligent systems engineering, and research.

1. Artificial Intelligence & Machine Learning

• AI / Machine Learning Engineer: Design, train, and deploy intelligent models for complex problem-solving.
• Computer Vision Specialist: Develop solutions for image recognition, autonomous perception, and visual inspection systems.
• Data Scientist / Big Data Analyst: Extract insights from large dataset structures using predictive modeling and data mining techniques.
• NLP / Speech Processing Engineer: Build models for natural language understanding, text processing, and voice recognition systems.

2. Autonomous Systems & Robotics

• Autonomous Vehicles Engineer: Design and integrate control algorithms, sensor fusion, and navigation systems for self-driving vehicles.
• Robotics & Automation Engineer: Develop robotic hardware-software systems for industrial automation and smart environments.
• Control Systems Engineer: Implement digital and intelligent control techniques in automated systems.

3. Embedded Systems & Internet of Things (IoT)

• Embedded Systems Engineer: Design, program, and test embedded hardware and firmware for smart devices and industrial products.
• Real-Time Systems Developer: Build high-reliability, time-critical software for automotive, aerospace, or industrial hardware.
• IoT Solutions Architect: Connect edge devices, sensors, and microcontrollers with cloud platforms.

4. Software Engineering & Systems Development

• Software Engineer / Systems Developer: Design, test, and maintain scalable software systems and applications.
• Database Architect / Administrator: Manage enterprise database architectures and optimize query performance.
• High-Performance Computing (HPC) Specialist: Optimize algorithms and infrastructure for compute-heavy parallel processing applications.

5. Cybersecurity & Cloud Infrastructure

• Cybersecurity Analyst / Data Security Engineer: Implement security protocols, secure coding standards, and fault diagnosis to protect software and networks.
• Cloud Computing Engineer: Deploy, maintain, and optimize scalable cloud architecture and distributed applications.

6. Technical Leadership, Entrepreneurship & Research

• Engineering Project Manager: Plan, supervise, and oversee multidisciplinary tech projects and teams.
• Tech Entrepreneur: Launch startups leveraging emerging intelligent systems technologies.
• R&D / Academic Researcher: Pursue graduate studies or industrial research positions in advanced computing and intelligent systems.

Students' training and research

• Practical training is an integral component of all undergraduate curriculum within the faculty. The program requires a total of 150 training hours distributed across two distinct modules of 75 hours each, conducted within approved engineering facilities either locally or internationally.
• All training placements must directly align with the student's major field of study and receive prior approval from the respective academic department. Students become eligible to enroll in a training module upon successfully completing a minimum of 54 credit hours.
• Upon the completion of each module, students are required to submit a comprehensive technical report and deliver a formal presentation for evaluation by the academic department. While evaluated rigorously, the two practical training modules carry 0 credit hours.
• Undergraduate research initiatives further enhance the academic experience by enabling students to collaborate with faculty on innovative projects, foster critical thinking, and bridge theory with real-world application.
• Additionally, students may develop their graduation projects into publishable research papers, contributing original insights to their respective fields while preparing for advanced academic and professional pursuits.

Computer & Intelligent Systems Engineering Program

Computer & Intelligent Systems Engineering Program About the program: The Computer & Intelligent Systems Engineering Program at Future University in Egypt is a comprehensive, four-year undergraduate curriculum comprising 144 credit hours (CH) distributed across eight semesters. The program blends rigorous foundational theory with specialized coursework and practical training, allowing students to tailor their education to their professional interests. Curriculum Structure The program is structured around four core educational modules, supplemented by practical training and a capstone graduation project: • University Requirements (12 CH): Encompasses general education coursework, including two English language courses and "Human Rights" course in addition to a selection of three elective courses out of six. • Faculty Requirements (30 CH): Establishes a foundational background in engineering and sciences through coursework in mathematics, physics, chemistry, mechanics, engineering graphics, production technology, computer programming, and humanities. • Department Requirements (60 CH): Covers core electrical engineering disciplines, including electrical circuits, electronics, digital logic and Microprocessors and Microcontrollers, electromagnetic fields, signals and systems, electrical measurements, control systems, advanced mathematics, and solid-state physics. • Program Requirements (42 CH): Focuses on specialized Computer and Intelligent Systems Engineering topics divided into: - Compulsory Courses (27 CH): Builds a robust core in critical areas such as designed to build advanced technical expertise: Artificial Intelligence (AI), Machine Learning, Deep Learning, Advanced Computer Programming, Digital Image Processing, Data Structures and Algorithms, Operating Systems, Database Management Systems, Data Communication, Data Security, and Computer Networks. - Elective Courses (15 CH): Enables advanced specialization through targeted study in subjects such as designed to provide advanced instruction alongside their respective prerequisites: Real-time Embedded Systems, Robotics, Software Engineering, Algorithms, Data Mining, Big Data Analysis, Natural Language Processing (NLP), Cloud Computing, High-Performance Computing (HPC), Computer Vision, Reinforcement Learning, Autonomous Vehicles, Intelligent Control Systems, Computational Intelligence. Practical Training & Capstone Project • Graduation Project (5 CH): Executed over two semesters, requiring students to apply comprehensive technical knowledge to solve complex engineering problems. • Practical Training (0 CH): Requires the completion of 150 training hours divided into two modules of 75 hours each to bridge academic theory with real-world industry experience. Program Mission The Computer and Intelligent Systems Engineering Program provides a promising academic and cultural environment with international standards that enables the qualifying of a distinguished engineer who can compete locally and regionally and comply with the requirements of the labor market professionally and ethically, stimulates innovative scientific research, contributes to community service and sustainable development Program Aims (PAs) The Computer & Intelligent Systems Engineering graduates are equipped to: • Identify, formulate, and solve complex Computer and Intelligent Systems engineering problems by applying principles of engineering, science,and mathematics. • Apply Computer and Intelligent Systems engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. • Communicate effectively with a rangeof audiences. • Recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must considerthe impact of Computer and Intelligent Systemsengineering solutions in global, economic, environmental, and societalcontexts. • Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives. • Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. • Acquire and apply new knowledge as needed, using appropriate learningstrategies. • Use techniques, skills and modern engineering tools necessary for Computer and Intelligent Systems engineering practice. • Demonstrate leadership qualities, business administration and entrepreneurial skills. • Recognize his/her role in promotingthe engineering field and contribute to the development of the profession and the community. Graduate Attributes (GAs) The graduate of the computer and intelligent systems engineering program must: • Master a wide spectrum of engineering knowledge and specialized skills and can apply acquired knowledge using theories and abstract thinking in real life situations. • Apply analytic, critical, and systemic thinking to identify, diagnose and solve engineering problems with a wide range of complexity and variation. • Behave professionally and adhere to engineering ethics and standards. Recognize his/her role in promoting the engineering field and contribute in the development of the profession and the community. • Work in and lead a heterogeneous team of professionals from different engineering specialties and assume responsibility for own and team performance. • Recognize his/her role in promoting the engineering field and contribute in the development of the profession and the community. • Value the importance of the environment, both physical and natural, and work to promote sustainability principles. • Use techniques, skills and modern engineering tools necessary for engineering practice. • Assume full responsibility for own learning and self-development, engage in lifelong learning and demonstrate the capacity to engage in post- graduate and research studies. • Communicate effectively using different modes, tools and languages with various audiences; to deal with academic/professional challenges in a critical and creative manner. • Demonstrate leadership qualities, business administration and entrepreneurial skills. Career opportunities Graduates of the Computer and Intelligent Systems (CIS) Engineering Program are equipped with a strong background in hardware-software integration, artificial intelligence, embedded systems, and software engineering. This comprehensive curriculum prepares students for diverse career paths across tech industries, intelligent systems engineering, and research. 1. Artificial Intelligence & Machine Learning • AI / Machine Learning Engineer: Design, train, and deploy intelligent models for complex problem-solving. • Computer Vision Specialist: Develop solutions for image recognition, autonomous perception, and visual inspection systems. • Data Scientist / Big Data Analyst: Extract insights from large dataset structures using predictive modeling and data mining techniques. • NLP / Speech Processing Engineer: Build models for natural language understanding, text processing, and voice recognition systems. 2. Autonomous Systems & Robotics • Autonomous Vehicles Engineer: Design and integrate control algorithms, sensor fusion, and navigation systems for self-driving vehicles. • Robotics & Automation Engineer: Develop robotic hardware-software systems for industrial automation and smart environments. • Control Systems Engineer: Implement digital and intelligent control techniques in automated systems. 3. Embedded Systems & Internet of Things (IoT) • Embedded Systems Engineer: Design, program, and test embedded hardware and firmware for smart devices and industrial products. • Real-Time Systems Developer: Build high-reliability, time-critical software for automotive, aerospace, or industrial hardware. • IoT Solutions Architect: Connect edge devices, sensors, and microcontrollers with cloud platforms. 4. Software Engineering & Systems Development • Software Engineer / Systems Developer: Design, test, and maintain scalable software systems and applications. • Database Architect / Administrator: Manage enterprise database architectures and optimize query performance. • High-Performance Computing (HPC) Specialist: Optimize algorithms and infrastructure for compute-heavy parallel processing applications. 5. Cybersecurity & Cloud Infrastructure • Cybersecurity Analyst / Data Security Engineer: Implement security protocols, secure coding standards, and fault diagnosis to protect software and networks. • Cloud Computing Engineer: Deploy, maintain, and optimize scalable cloud architecture and distributed applications. 6. Technical Leadership, Entrepreneurship & Research • Engineering Project Manager: Plan, supervise, and oversee multidisciplinary tech projects and teams. • Tech Entrepreneur: Launch startups leveraging emerging intelligent systems technologies. • R&D / Academic Researcher: Pursue graduate studies or industrial research positions in advanced computing and intelligent systems. Students' training and research • Practical training is an integral component of all undergraduate curriculum within the faculty. The program requires a total of 150 training hours distributed across two distinct modules of 75 hours each, conducted within approved engineering facilities either locally or internationally. • All training placements must directly align with the student's major field of study and receive prior approval from the respective academic department. Students become eligible to enroll in a training module upon successfully completing a minimum of 54 credit hours. • Upon the completion of each module, students are required to submit a comprehensive technical report and deliver a formal presentation for evaluation by the academic department. While evaluated rigorously, the two practical training modules carry 0 credit hours. • Undergraduate research initiatives further enhance the academic experience by enabling students to collaborate with faculty on innovative projects, foster critical thinking, and bridge theory with real-world application. • Additionally, students may develop their graduation projects into publishable research papers, contributing original insights to their respective fields while preparing for advanced academic and professional pursuits.

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