Data Structures and Algorithms with Python (5 cr)
Code: TX00FK26-3005
General information
- Timing
-
01.01.2025 - 31.12.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Virtual portion
- 5 cr
- 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
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.
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