COM3105 Advanced Algorithms

Aims/Description: Algorithms and algorithmic problem solving are at the heart of computer science. This module, Advanced Algorithms, focuses on teaching efficient algorithm design and analysis for solving complex computational problems. It covers optimisation tools, various algorithmic techniques, and a number of modern computational models that deals with massive datasets - these are crucial for students who are aspiring researchers or industry professionals. The module integrates research-led teaching to introduce students to cutting-edge topics in algorithm design and optimisation theory. The students gain theoretical as well as practical skills relevant to research and industry demands, making them well-prepared for any career requiring a deep understanding of algorithms and their efficient implementation.

Restrictions on availability: Restricted to COM students.

Staff Contact: TALEBANFARD NAVID

Teaching Methods: Lectures, Independent Study

Assessment: Formal Exam, Course work

Information on the department responsible for this unit (Computer Science):

Departmental Home Page

Teaching timetable

NOTE The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2025-26.