Data Structures and Algorithms with Python

Course description

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

Prerequisites

None.

Assessment criteria

Pass after all of tasks and Final has been approved.

Course way of working and time table

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

Course info

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

Course enrolment info

• 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