17 Algorithms Degree Programs

Worst and average case analysis. Recurrences and asymptotics. Efficient algorithms for sorting, searching, and selection. Data structures: binary search trees, heaps, hash tables. Algorithm design techniques: divide-and-conquer, dynamic programming, greedy algorithms, amortized analysis, and randomization. Algorithms for fundamental graph problems: minimum-cost spanning tree, connected components, topological sort, and shortest paths. Possible additional topics: network flow, and string searching. Prerequisite: 103 or 103B; 109 or STATS 116.

The study branch Discrete models and algorithms offers wide education in theoretical and mathematical fundaments of computer science. The student obtains knowledge in the area of discrete models and related algorithmic and data techniques and various mathematical methods for their design. The study familiarizes the student both with the last results on discrete models, algorithms, and optimization and with possibilities and limitations in solving related algorithmic questions. The students acquire the thorough mathematical knowledge necessary for the analysis and design of discrete models and algorithms. The students can apply their skills in practice or can continue in the Ph.D. study of computer science or related areas.

The MSc in Computer Science - Algorithms, Languages and Logic which run our lives and societies are becoming ever more powerful and intelligent, relying on increasingly sophisticated technologies. To understand and master the complexity of these systems, it is essential to understand the fundamentals of computer science.

Convex sets, functions, and optimization problems. The basics of convex analysis and theory of convex programming: optimality conditions, duality theory, theorems of alternative, and applications. Least-squares, linear and quadratic programs, semidefinite programming, and geometric programming. Numerical algorithms for smooth and equality-constrained problems; interior-point methods for inequality-constrained problems. Applications to signal processing, communications, control, analog, and digital circuit design, computational geometry, statistics, machine learning, and mechanical engineering.

Carleton’s Computer Science program teaches you the principles of solving computational problems while giving you up-to-date applied skills for working on cutting-edge projects and building the technology of tomorrow.

The aim of the study program “Computer Science – Language Technologies and Computational Linguistics” is to get the graduates ready for research in the area of natural language processing and the development of applications dealing with both written and spoken language. Examples of such applications are systems of information retrieval, information extraction and summarization, machine translation, text analytics, grammar checking, automatic speech recognition, spoken dialogue systems, and speech synthesis. The emphasis is put on a deep understanding of formal mathematical and algorithmic foundations and their practical applicability in natural language processing tasks. Students of the program have the possibility to focus either on theoretical aspects of formal description of natural languages or on the technology-oriented side (state-of-the-art methods in statistics, machine learning, and deep learning) for language data processing.

This program offers advanced-level courses in statistical analysis, decision computer science, computer modeling, and associated computer tools.

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Computational linguistics is an interdisciplinary scientific field involving mathematics (including topics such as discrete mathematics, statistics, and probability), computer science (e.g. algorithmization, machine learning, artificial intelligence), and classical linguistics (e.g. morphology, syntax, language typology). Computational linguistics investigates language from a formal point of view, and it aims at developing methods that could be used in software applications in the field of Natural Language Processing, in which languages in their spoken or written form are handled. The program does not contain specializations.

The Computer Science Major with an Algorithms Option (B.A.) provides students with a comprehensive foundation in core computer science principles, emphasizing the design and analysis of algorithms. Th...

The Postgraduate Program in Optimization will provide students at the Master's level with the elements that allow them to: Build or adapt mathematical models to represent optimization problems. Differentiate the possible techniques to use in solving mathematical models of optimization problems. Understand and explain the theoretical foundations of modeling and optimization techniques. Design, analyze and implement algorithms for specific optimization problems. Know the existing software and select the right one for solving particular problems. Interact with other professionals in solving application problems. Communicate messages of scientific and technical content with clarity and order, orally and in writing. Continue with doctoral studies and other academic and research activities.

Step into a world of endless technological possibilities that is filled with diverse students and expert professionals who are eager to teach you invaluable knowledge. The Computer Science program is among the top majors in the country, with a high demand for graduates. In Mercer’s program, you will learn programming languages, algorithms and data structures, software methodology and tools, computer hardware, and more.

Built-in 2015, the Center for Science and Technology includes a state-of-the-art computer lab and a robotics lab, supporting both what we teach and how we teach it.

The knowledge gained in the IT faculty at the University of Technology and Commerce (UTH) allows students to master the broadly understood programming skills. It is the developers that companies from the IT market are looking for.

Artificial intelligence (AI) is increasingly important in developments in all parts of business and society. The course gives you specialist skills in artificial intelligence, opening the door to a range of careers.