About the B.Sc. in Computer Engineering Program
The undergraduate program in Computer Engineering is offered by the Department of Computer Engineering in SEEIT. This program is designed to meet the emerging demands on ICT education and address market needs by adopting a unique approach to expand on the long experience of the German model of applied science and contribute to building a premier quality industry-oriented ICT education in Jordan. It includes a general track that covers general concentrations in Computer Engineering in addition to two new tracks to match the current market needs, namely Artificial Intelligence and Machine Learning track, as well as Computer Vision and Robotics track - see Study Plan (All Tracks) 2022/2023 below. The program goals relate to high-quality in applied education and research, international co-operation, rich interaction and partnerships with enterprises, as well as focus on relevant academic tracks.
An optional Dual Study track is integrated in all CE undergraduate program tracks, which is based on a global educational concept that aims to integrate the theoretical knowledge with the practical implementation in close cooperation with industrial partners. Some of the CE program students (as admission to the Dual Study track is subject to positions availability from partner companies) who are accepted in this track have the chance to work and study at the same time. Specifically, they train full-time in the local industry during the first three summer semesters of their study program - see Study Plan (All Tracks with Dual Study Track) 2022/2023 below.
All students spend one year in Germany (German Year) during their study program, in which they study one semester in one of the German partner universities, then they do an obligatory internship of at least 20 weeks full-time in the German industry.
Several industry-centered courses are integrated in the program curriculum to prepare students for professional certification from leading worldwide companies such as CISCO, Red Hat, and HUAWEI.
To be a recognized department of computer engineering in producing highly qualified engineers who are capable of finding effective solutions to emerging problems related to society, environment, and industry by employing trending and innovative technologies.
To arm students with the required knowledge, technical skills, and experience in the field of computer engineering that enables them to fulfill society and market needs.
Academic Tracks under the B.Sc. in Computer Engineering Program
In the general track, students will learn about several important computer engineering concentrations such as computer architecture, computer networks, embedded systems, and computer software. The computer architecture concentration has to do with the knowledge involved in building computer systems. Throughout this concentration students will learn the most basic building blocks of computers and how to bring them together to build a full system. They will learn how processors work and what are the different approaches to making them perform better; In the computer networks concentration, students will learn how computers communicate with each other over networks. They will understand the different levels of networking and how the internet works. They will also get exposed to the concentration of computer security (including cybersecurity) and learn different concepts that make computer safe from hackers. The embedded systems concentration is concerned with small dedicated computers that are meant to do specific functions. This includes almost any computing device that is not a laptop or a PC. Mobile phones, electronic washing machines, car electronics, and other smart devices fall under the category of embedded systems. The computer software concentration focuses on software which is an essential part of all computing systems. Through the computer engineering curriculum you will be exposed to a variety of software topics that will hone your programming skills. Topics include: regular programming topics, algorithm development, operating system concepts, database systems, and parallel programming. Accordingly, this track will allow students to interact with all these key concentrations. Moreover, leading faculty members in the CE department as well as the German partner universities will guide students through the latest breakthroughs in research, cutting-edge technologies, and best practices used for building effective computer hardware and software.
In this track, students will learn most of the knowledge in the general computer engineering track in addition to at least 8 courses (4 core courses in GJU and 4 elective courses in a German partner university) related to the theoretical and practical underpinnings of Artificial Intelligence (AI) and Machine Learning (ML). They will also gain the practical know-how needed to apply these techniques quickly and powerfully to new problems in different application domains, including biomedical signal processing, robotics, image and video understanding, as well as financial analysis and prediction. Moreover, several state-of-the-art courses that are related to ML and AI will be offered, such as deep learning, natural language processing, big data, cloud computing, and image processing. Therefore, this track shall allow students to interact with all these key disciplines. Moreover, leading faculty members in the CE department as well as the German partner universities will guide students through the latest breakthroughs in research, cutting-edge technologies, and best practices used for building effective AI-systems.
In this track, students will learn most of the knowledge in the general computer engineering track in addition to at least 8 courses (4 core courses in GJU and 4 elective courses in a German partner university) related to the theoretical and practical underpinnings of Computer Vision and Robotics. They will learn about the most effective computer vision, robotics, and machine learning techniques, and how to implement these techniques. They will also gain the practical know-how needed to apply these techniques quickly and powerfully to new problems in different application domains, including biomedical, healthcare, robotics, and surveillance domains. Therefore, this track shall allow students to interact with all these key disciplines and get hands-on experience through the state-of-the-art equipment in the computer vision and robotics lab, which includes a robotic arm, a Niryo robotic arm, NAO robot, as well as virtual and augmented reality equipment. Moreover, leading faculty members in the CE department as well as the German partner universities will guide students through the latest breakthroughs in research, cutting-edge technologies, and best practices used for building effective robotic systems.
Program Tree Plan Table
|This year is focused on establishing basic sciences, mathematics, and programming skills.
This in addition to language skills. These are the foundations students require to build on the upcoming knowledge.
In the second year, students get exposed to the basics of computer hardware such as digital systems and computer architecture. More intermediate mathematics and software topics are also introduced. This is in addition to continuing to advance language skills.
In this year students conclude most intermediate topics in computer hardware and software in addition to mathematics topics. This year is also where students get first introduced to networking topics. Language courses also conclude in this year.
This is the German travel year, for the first part of the year students can select from various elective topics that target their interest. In the second half of the year, students are expected to participate in industrial training in a German company.
This is the final year in the students' study plan, advanced topics in CE are introduced in this year. Students are also expected to deliver a project over the course of two semesters that applies CE knowledge that was acquired over the course of study.
B.Sc. in Computer Engineering General Track Tree Plan