BSc in Computer Engineering

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EUR 14,999.00
EUR 12,999.00

About this course

Program Description

The Bachelor of Science (BSc) in Computer Engineering is a comprehensive undergraduate program designed to equip students with the technical expertise, problem-solving skills, and innovative thinking required to excel in the ever-evolving field of computer engineering. The program blends theoretical foundations with hands-on practical experience, preparing students for careers in software development, hardware design, networking, data science, artificial intelligence, and more.

With a curriculum that emphasizes the principles of computer systems, programming, and emerging technologies, the program provides a solid foundation in both hardware and software aspects of computing. Students also gain insights into the social and ethical implications of technology, fostering a holistic understanding of the field.



Program Highlights

  • Comprehensive Curriculum: Covers fundamental and advanced topics in computer engineering, including hardware, software, and emerging technologies.
  • Practical Training: Offers hands-on experience through labs, projects, and internships.
  • Focus on Innovation: Encourages creative problem-solving and critical thinking for tackling real-world challenges.
  • Industry-Relevant Skills: Prepares students for dynamic roles in industries such as technology, healthcare, finance, and beyond.
  • Career Preparedness: Builds technical and professional skills for careers in engineering, research, and entrepreneurship.

FAQ

The program focuses on developing expertise in both hardware and software aspects of computing. It equips students with the knowledge and skills needed to design, develop, and implement computer systems and applications.

The program is ideal for individuals interested in technology, problem-solving, and innovation. Whether you're passionate about coding, designing hardware systems, or exploring emerging fields like AI and IoT, this program provides a strong foundation.

Yes, the program includes hands-on training through labs, internships, and a capstone project where students apply their knowledge to solve real-world challenges.

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Chapter Highlights: History of computing, overview of computer systems, and engineering principles. Description: This foundational chapter introduces students to the field of computer engineering, exploring its role in modern technology and society.
Chapter Highlights: Programming languages, data structures, and algorithms. Description: Students learn the basics of coding and computational problem-solving, focusing on developing efficient and reliable software solutions.

Chapter Highlights: Boolean algebra, logic gates, and circuit design techniques. Description: Explore the principles of digital systems and learn to design and analyze circuits, forming the backbone of modern computing hardware.
Chapter Highlights: Processor design, memory hierarchy, and performance optimization. Description: Study the inner workings of computer systems, focusing on how hardware and software interact to execute tasks efficiently.

Chapter Highlights: Sorting and searching algorithms, graph theory, and algorithmic complexity. Description: Build a deeper understanding of data organization and manipulation, essential for solving computational problems effectively.
Chapter Highlights: Process management, memory management, and file systems. Description: Learn the principles of operating systems, exploring how they manage hardware resources and provide essential services for software applications.

Chapter Highlights: Database design, SQL, and data management techniques. Description: Study the fundamentals of database systems, focusing on how to design, implement, and optimize databases for various applications.
Chapter Highlights: Network protocols, architectures, and security. Description: Gain insights into how computer systems communicate, focusing on networking technologies, data transmission, and secure communication.

Chapter Highlights: Software development lifecycle, testing, and project management. Description: Explore methodologies for designing, developing, and maintaining high-quality software systems, emphasizing teamwork and collaboration.
Chapter Highlights: Neural networks, supervised and unsupervised learning, and AI applications. Description: Delve into the basics of AI and machine learning, exploring how these technologies are transforming industries and shaping the future.

Chapter Highlights: Microcontrollers, real-time systems, and IoT applications. Description: Learn to design and program embedded systems, focusing on their applications in consumer electronics, healthcare, and industrial automation.
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