Study Guide

Objective

Student can implement fundamental data structures and algorithms and compare their properties. Student can use different data structures, such as lists, sets, dictionaries, trees and hashing, and algorithms associated to them. Student can develop applications, which utilizes different kind of data structures and algorithms efficiently.

Content

- Lists, stack, queue
- Dictionaries
- Trees
- Sorting
- Searching
- Hashing
- Principles of algorithm analysis
- Collection classes of C#, Java or C++

Materials

Information about the materials are in Moodle.

Teaching methods

Contact teaching and independent work.

Student workload

4 cu * 27 h/cu = 108 hours, of which around one third is contact teaching and two thirds independent work.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Student can implement fundamental data structures and algorithms. Student can use lists and dictionaries, and algorithms associated to them.

Assessment criteria, good (3)

Student can implement fundamental data structures and algorithms and compare their properties. Student can use different data structures, such as lists, sets, dictionaries, trees and hashing, and algorithms associated to them. Student can develop applications, which utilizes different kind of data structures and algorithms.

Assessment criteria, excellent (5)

Student can implement fundamental data structures and algorithms and compare their properties. Student can use different data structures, such as lists, sets, dictionaries, trees and hashing, and algorithms associated to them. Student can develop applications, which utilizes different kind of data structures and algorithms efficiently. Student can analyze the running time of the algorithms.

Assessment methods and criteria

Activities and exam.