Experience a structured online learning environment with comprehensive assessment methods designed to ensure steady progress and mastery of course material. This program features regular evaluation touchpoints including biweekly graded quizzes, ongoing assignments, case studies, and lab exercises, culminating in remotely proctored final examinations – all supported by practice assessments for self-evaluation and requiring only basic technology (computer with webcam and internet) to participate fully in the program's assessment components.

This comprehensive curriculum offers a foundational and advanced exploration of computer science and programming, designed to equip students with the skills and knowledge required for a successful career in technology. It starts with courses like Introduction to Programming and Introduction to Computing Systems, which lay the groundwork for understanding basic programming concepts and how computers function at a system level. From there, the curriculum expands into areas such as Computer Systems and Performance, Command Line Interfaces and Scripting, and Algorithm Design, giving students a deeper understanding of the inner workings of computer systems, efficient algorithm creation, and the power of automation through scripting. As students advance, they delve into core areas like Data Structures and Algorithms, Object-Oriented Programming, and Software Design Principles, which focus on organizing and structuring code efficiently, developing reusable components, and applying design best practices to create scalable software systems. Specialization topics like Relational Databases, Programming for Mobile Devices, and Web Programming introduce modern development practices for building data-driven, mobile, and web applications. With courses such as Operating Systems and Network Programming, students also gain essential knowledge in how operating systems manage resources and how to develop networked applications using client-server models. Additionally, Building Database Applications and Software Development Practices emphasize hands-on experience in constructing robust, high-performance applications. Finally, Formal Languages and Applications rounds out the program by exploring the theoretical underpinnings of computing, giving students an understanding of computational theory and its real-world applications. This curriculum provides a thorough education in computer science, blending both theoretical principles and practical development skills to prepare students for the challenges of modern software engineering and technology-driven industries.

This diverse curriculum offers a blend of fundamental and interdisciplinary courses, designed to provide students with a well-rounded education in both technical and non-technical fields. Starting with courses like Discrete Mathematics, Linear Algebra and Optimization, and Probability and Statistics, students build a strong foundation in mathematical and analytical thinking, crucial for problem-solving and decision-making in technology and engineering. The Introduction to Logic course further enhances critical thinking and reasoning abilities, laying the groundwork for formal systems and computational theory. The curriculum also incorporates scientific knowledge with courses in General Biology, General Physics, and Basic Electronics, offering essential insights into the natural and physical sciences that are fundamental to understanding the technological world. For those interested in the broader societal impacts of technology, courses like Online Social Media, Video Games - Technology and Social Impacts, and Environmental Studies explore the ways in which technology influences human behavior, culture, and the environment. In addition, the Introduction to Economics provides students with a solid understanding of economic principles, helping them contextualize the technological landscape within the global economy. Writing Practice equips students with the communication skills necessary to convey complex ideas clearly and effectively, while Science, Technology, and Modernity allows for a deeper reflection on the interplay between scientific advancements and societal progress. This multidisciplinary approach ensures that students gain both the technical skills and the critical thinking abilities needed to navigate the challenges of the modern world, especially in the rapidly evolving fields of technology and innovation.

This diverse collection of courses offers a comprehensive and interdisciplinary approach to understanding various facets of computer science, technology, and data. Beginning with foundational topics such as Graphs and Networks, Automata and Computability, and Experimental Algorithmics, students gain a strong understanding of theoretical and applied computer science, exploring how algorithms work, how networks operate, and how computation can be formalized and analyzed. These concepts provide the basis for more advanced study in areas like Bioinformatics, which applies computational techniques to biological data, and Data Visualization, which teaches students to represent complex data in visual formats to facilitate understanding and decision-making. As the curriculum progresses, students are introduced to cutting-edge subjects like Multicore and GPGPU Programming, which explore how modern processors can be used to accelerate computation, and Introduction to Data Analytics, which equips students with the skills to analyze and interpret large datasets for meaningful insights. The curriculum also includes practical, industry-relevant skills in Information Security, Human-Computer Interaction, and Designing Multimodal Interfaces, which focus on protecting digital systems, enhancing user experience, and designing intuitive interfaces across multiple platforms. Additionally, students explore Modern Databases and TCP/IP and the Internet, gaining insight into data management systems and the foundational communication protocols that support the global internet. These interconnected courses provide students with a rich and multifaceted education in computer science, preparing them for careers that bridge theoretical knowledge with practical, cutting-edge technologies in the rapidly evolving fields of data, security, and system design.

This suite of courses provides a well-rounded and deep exploration into the core aspects of computer science, focusing on practical application development, computing systems, data management, and theoretical foundations. Application Development covers the end-to-end process of designing, developing, and maintaining software applications, offering hands-on experience with modern development tools and methodologies. In Computing Systems and Systems Programming, students dive into the low-level aspects of computer systems, learning about system architecture, memory management, and writing efficient, hardware-interfacing code. This knowledge is complemented by a solid foundation in Databases and Data Analytics, where students learn how to design and manage robust databases and analyze vast amounts of data to derive valuable insights. Additionally, the Algorithmics and Theoretical Computer Science component delves into the mathematical and logical foundations of computing, equipping students with the tools to understand and solve complex problems related to algorithms, computational complexity, and formal models of computation. Together, these courses provide a comprehensive understanding of both the theoretical and practical aspects of computer science, preparing students to build advanced applications, optimize system performance, manage and analyze data, and engage with complex computational challenges in diverse fields.

This curriculum is designed to provide a strong foundation in computer science, focusing on critical areas such as computer systems, systems programming, programming skills, and application development. The foundation courses introduce students to the essential concepts and principles of computer science, offering a broad understanding of the field. Students then delve deeper into understanding computer systems and systems programming, where they explore the inner workings of hardware and software, including system architecture, memory management, and low-level programming techniques. These courses equip students with the ability to write efficient code that interacts directly with system hardware. The curriculum also emphasizes the development of strong programming and problem-solving skills, where students learn to approach complex issues methodically and develop effective solutions using various programming paradigms. In parallel, students are exposed to different programming languages at various levels of abstraction, providing them with the flexibility to work in diverse programming environments. Finally, the application development segment focuses on designing, creating, and maintaining software applications, teaching students how to apply their theoretical and practical knowledge to real-world scenarios. Through this comprehensive approach, students are equipped with the technical expertise necessary to excel in both foundational and advanced aspects of computer science.