Data Structures and Algorithms with Python (5 cr)
Code: C-10065-TX00FK26-3012
General information
- Enrollment
-
05.08.2024 - 31.12.2025
Registration for the implementation has begun.
- Timing
-
05.08.2024 - 31.12.2026
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Blended learning
- Institution
- Metropolia University of Applied Sciences, Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 5000
- Course
- C-10065-TX00FK26
Evaluation scale
Hyväksytty/Hylätty
Content scheduling
Up to student her-/himself.
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.
Pedagogic approaches and sustainable development
N/A
Completion alternatives
N/A
Student workload
Depends on the student's starting level.
Evaluation methods and criteria
Pass after all of tasks and Final has been approved.