Data Structures and Algorithms with Python (5 cr)
Code: TX00FK26-3002
General information
Timing
01.08.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teacher in charge
Janne Salonen
Groups
-
ATX23TV_SYKSYOpen UAS TestOut and Moodle courses
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.