Enrolment options

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

In this course, we study the principles of efficient algorithm design and you will learn how to systematically approach new algorithmic problems. You will be able to formally argue why your algorithm works correctly and identify the challenges you need to overcome to solve a given problem. You will also learn to analyse the efficiency of algorithms and algorithmic approaches prior to their implementation.

Credits: 5

Schedule: 06.09.2024 - 03.12.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jara Uitto

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The main focus of this course is on mathematical foundations of algorithms. 

    Algorithm design paradigms: divide-and-conquer, greedy algorithms, dynamic programming. Principles of analysis of algorithms: correctness, duality, randomization.

     

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Exercise sessions and graded homework. 

Workload
  • valid for whole curriculum period:

    Lectures. Exercise sessions. Independent work. Graded homework.

DETAILS

Study Material
  • valid for whole curriculum period:

    Mostly based on: Jeff Erickson - Algorithms https://jeffe.cs.illinois.edu/teaching/algorithms/

    Supporting material:
    Cormen, Leiserson, Rivest, Stein. Introduction to algorithms.
    Kleinberg, Tardos. Algorithms Design.
    Vazirani. Approximation Algorithms.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I - II
    2025-2026 Autumn I - II

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