Data Structures and Algorithms with Python (5 cr)

Objectives (course unit)

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.

Content (course unit)

- 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

Location and time

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

Exam schedules

Online in course pace.

Assessment methods and criteria

Pass after all of tasks and Final has been approved.

Assessment scale

Hyväksytty/Hylätty

Teaching methods

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

Learning materials

Online.

Student workload

Depends on the student's starting level.

Content scheduling

Up to student her-/himself.

Completion alternatives

N/A

Practical training and working life cooperation

N/A

International connections

N/A