Data Structures and Algorithms with Python (5 ECTS)
Code: TX00FK26-3019
General information
- Enrollment
- 01.04.2025 - 31.12.2025
-
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 01.04.2025 - 31.12.2025
- Implementation is running.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 5 ECTS
- Mode of delivery
- Online
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 5000
- Degree programmes
- Information and Communication Technology
- Teachers
- Virve Prami
- Teacher in charge
- Janne Salonen
- Groups
-
CampusOnline_TIVI_NonStop2_EI_KÄYTÖSSÄCampusOnline_TIVI_NonStop2_EI KÄYTÖSSÄ
- Course
- TX00FK26
Objective
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
- 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.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online in course pace.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's starting level.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed Exam
Assessment methods and criteria
Pass after all of tasks and Final has been approved.