13 Computer Science Summer Course Programs

Our Summer School aims at developing the students’ academic knowledge and professional skills in 2 major topics related to Computer Science – Visual computing and Artificial intelligence. You will be involved in various projects with the teaching staff and you will take courses in Visual Computing and Artificial Intelligence, which will provide you with the tools to create virtual reality, video games, virtual divides, interactive objects and to learn about optimizations methods and data mining. As an additional module, French as a Foreign Language will be included to help you socialize with the French population.

Introduction to the fundamental concepts of computer systems. Explores how computer systems execute programs and manipulate data, working from the C programming language down to the microprocessor.

Would you like to spend four unforgettable weeks at the number one private higher education institution in Croatia, mastering the latest digital trends in an international environment with students from all over the world? The summer sunshine is the perfect ingredient to get inspired and master cutting-edge innovations from the digital world. Join the International Summer School program at Algebra Bernays University and gain in-demand digital skills that top global tech companies are looking for — all while having an unforgettable summer experience in Croatia.

Representation, analysis, techniques, and principles for manipulation of basic combinatoric structures used in computer science. Rigorous reasoning is emphasized.

Topics include counting and combinatorics, random variables, conditional probability, independence, distributions, expectations, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms. Prerequisites: 103, 106B or X, multivariate calculus at the level of MATH 51 or CME 100 or equivalent.

Our AI & Computer Science program covers a wide range of profession-related subjects that are not commonly taught in universities, giving you a competitive edge in the real world. You will learn from experienced professionals and have the opportunity to work alongside them during your internship, gaining invaluable industry experience.

Covers advanced programming techniques and data structures. Topics include recursion, algorithm analysis, linked lists, stacks, queues, trees, graphs, tables, searching, and sorting. Students must register for two sections: lecture and laboratory.

Artificial intelligence has been a fascinating concept for more than a decade, and we are finally getting close to making AI a reality. We are currently witnessing significant innovations in various technologies that all relate to the influence of AI. This drives demand for understanding not only how to use and implement such technologies but also how the basic concepts of selected components really work.

Introduction to design and development of full-stack web applications. Topics include asynchronous programming; non-relational data stores; use of APIs; serverless (cloud-based) applications; decoupled client/server architectures; performance; testing; packaging; and deployment.

Our International STEM Scholar Program is an intensive 6-week graduate-level preparatory program designed to prepare you for enrolling in any English speaking Science, Technology, Engineering, or Math graduate-level program. As part of our STEM Scholars course, you will develop your academic writing, research, communication, and presentation skills while building the confidence necessary for success in graduate school or the workplace.

From self-driving cars and augmented reality to intelligent medical imaging helping doctors identify diseases more quickly, computer vision is a rapidly growing field within artificial intelligence and machine learning. In this course, students who are already familiar with the key theoretical foundations of artificial intelligence and machine learning will dive deeper into the exciting capabilities of this area of research and its applications.

In our age of burgeoning smart technology and automation, we are already seeing the transformative potential of Artificial Intelligence and Machine Learning in fields as diverse as finance, medicine, and manufacturing. This course offers a hands-on introduction to this future-focused area of research.

These new Quantum-based systems will not replace Classical Information and Communications ones, but will be run in conjunction with them by enhancing them where Classical ones present critical weaknesses, such as the impossibility of simulating some biochemistry systems in the pharmaceutical systems, achieving nano-scale sense of physical magnitudes, solving some hard computing problems, or warranting secure communications that cannot be never deciphered by third parties.