Syllabus

LEARNING OUTCOMES

Having completed the course, you can define, compare and implement basic data structures and algorithms as well as name and select them, for example, as dictionaries, sorting problem, and graph traversing. In addition, you can identify and describe given data structure or algorithm and give examples of its operation(s). Moreover, you can discuss other essential data structures and algorithms by means of the terminology typically used in this domain.

Credits: 5

Schedule: 09.09.2022 - 16.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ari Korhonen

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:

  Linear data structures, trees and graphs. Searching and sorting methods. Principles of algorithm analysis.

Assessment Methods and Criteria

• valid for whole curriculum period:

  Personal home exercises and examination.

Workload

• valid for whole curriculum period:

  Lectures 24 h, self-study and teaching in small groups 106 h, examination 3 h.

DETAILS

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

SDG: Sustainable Development Goals

4 Quality Education

13 Climate Action

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

  Teaching Period : 2022-2023 Autumn I - II
  2023-2024 Autumn I - II

  Enrollment :

  Registration on Sisu (sisu.aalto.fi).

Description