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.

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.

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.

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

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.

Take human bias out of the equation with automated trading. The Oxford Algorithmic Trading Programme aims to give participants a comprehensive overview and understanding of the rules that drive successful algorithmic trading strategies. The programme is led by Nir Vulkan, Associate Professor of Business Economics at Oxford Saïd, a leading authority on applied research and teaching on hedge funds. The programme also features a host of guest experts leading the systematic trading industry.

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.

Learn about recursion, search and sort algorithms, and object-oriented programming in Python.

Computer Engineering is a blooming discipline focused on the development of vital computing technologies that range from chips to computers to networks to programming tools and key algorithms. Fundamentally, Computer Engineering addresses the problem of building scalable, trustworthy computing systems and applications, and the faculty's interests span a broad spectrum of issues pertinent to this theme.

Unravel complex systems and visualize their interactions. Experiment and reimagine them through interventions, algorithms, models, and simulations. Communicate your understanding through powerful system visualizations.

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.

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.