Data Structures and Algorithms with Python (5 op)

Arviointiasteikko

Hyväksytty/Hylätty

Sisällön jaksotus

Up to student her-/himself.

Tavoitteet

After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.

Sisältö

- Python data types and structures (A Python brief summary) - Algorithm performance basics and arrays - Lists - Stacks and queues - Trees - Hashing - Graphs - Priority queues and heaps, searching - Sorting - Algorithms' design techniques

Aika ja paikka

Course environment is Metropolia's Moodle environment and course can be done in own pace.

Oppimateriaalit

Online.

Opetusmenetelmät

Course is 100% online (self-study) course which can be done in own pace.

Harjoittelu- ja työelämäyhteistyö

N/A

Tenttien ajankohdat ja uusintamahdollisuudet

Online in course pace.

Kansainvälisyys

N/A

Toteutuksen valinnaiset suoritustavat

N/A

Opiskelijan ajankäyttö ja kuormitus

Depends on the student's starting level.