Data Structures and Algorithms with Python

Opintojakson kuvaus

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.

• 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

Edeltävyysehdot

None.

Arviointikriteerit

Pass after all of tasks and Final has been approved.

Opintojakson työskentelytavat ja aikataulutus

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

Opintojakson tiedot

Course environment is Metropolia’s Moodle environment and all of course material is there.

Ilmoittautumistiedot

• You can enrol this course whenever it’s suitable for you
• You can start course as soon as you have filled in official enrolment form
• Course can be done in own pace
• Ristiinopiskelupalveluun liittyneiden korkeakoulujen opiskelijat voivat ilmoittautua tälle opintojaksolle kotikorkeakoulunsa Pepissä/Pakissa