The Internet of Things (IoT) in the Computer Science undergraduate program focuses on the research, development, and application of technologies that enable physical objects to connect and interact through the Internet. Students learn the concepts, architectures, and protocols underlying IoT, including sensors, smart devices, networks, and distributed systems. In this context, students understand how to integrate hardware and software to design innovative IoT solutions. They learn programming languages such as Python, Java, and C++ to develop applications that connect and manage IoT devices. Security is also a key focus, with students understanding how to protect data and privacy in a widely connected environment. The main goal of this discipline group is to train students to become professionals who are able to design, develop, and manage IoT solutions that can have a positive impact on various industries and society. They are also expected to understand the ethical and social implications of the development of IoT technologies and be able to contribute to innovation in this field.

Cyber Security in the Computer Science undergraduate program has a primary focus on researching, developing, and implementing strategies to protect computer systems, networks, data, and information from unauthorized access, hacking, or cyberattacks. Students understand cyber threats, security holes, and attack techniques used by hackers, as well as how to secure and protect digital infrastructure. In this program, students learn cryptography, network security, risk analysis, software security, identity management, operating system security, and security incident handling. They also learn to conduct penetration tests and security evaluations of systems to identify their potential vulnerabilities and take appropriate preventive measures. The main objective of this discipline group is to train students to become competent cybersecurity experts, who can protect organizations from rapidly evolving cyber threats. With the rapid increase in cyber-attacks, this discipline is instrumental in ensuring that organizations and individuals have secure infrastructure and can operate efficiently in the increasingly connected digital age.

Cryptography in the Computer Science undergraduate program focuses on the research, development, and implementation of techniques to secure information through encryption and decryption of data. Students understand the mathematical principles and algorithms underlying information security as well as their applications in communication and data security. In this program, students learn the concepts of public and private keys, encryption algorithms, digital signatures, security protocols, and key management. They also understand the theory of computational complexity on which cryptographic security is based. The main goal of this discipline group is to train students to become competent cryptographers, capable of designing effective and sophisticated security solutions. Cryptography plays a key role in securing online transactions, digital communications, and sensitive data. In an era where information security is paramount, it plays a role in protecting the privacy and data security of individuals and organizations.

Data Science in the Computer Science undergraduate program focuses on the research, analysis, and interpretation of data to gain valuable insights that support better decision-making. Students in this program learn statistical, programming, and data analysis techniques to process information from various sources and turn it into a foundation for better decision-making. In this curriculum, students understand the basic concepts of mathematics and statistics, data collection techniques, data processing, data visualization, and machine learning. They also understand algorithms and techniques for processing and analyzing big data. Practical training is realized through projects involving the analysis of real data so that students can apply the theory learned in real-world situations. The main goal of this research group is to train students to become experts in the field of Data Science, able to collect, analyze, and present data effectively to support informational decision-making. Data Science is essential in this digital era, where large and complex data is available in a variety of contexts, from business to science. Students are also expected to keep abreast of technological and methodological developments in the field of Data Science and contribute to its advancement and better application in various sectors.

The Microcontroller in Computer Science undergraduate program addresses the development, programming, and applications of microcontrollers, which are programmable electronic devices that control specific functions within a given system. Students in this program learn the basic principles of electronics, microcontroller architecture, programming languages, and related circuit design techniques. The material covered includes basic concepts about microcontrollers, including an understanding of electronic circuits, interfaces, and system integration. Students are also taught to understand programming languages specific to microcontrollers, such as Assembly, C, and C++, as well as structured programming techniques to optimize microcontroller performance. The main objective of this discipline group is to train students to have a strong understanding of microcontroller technology, and to be able to design and implement complex microcontroller-based systems. This discipline plays an important role in the modern era where technology is increasingly connected and automation comes to the fore.