Data structures and algorithms (5 cr)
Code: OT00EK02-3001
General information
- Enrollment
-
06.04.2022 - 22.04.2022
Registration for the implementation has ended.
- Timing
-
31.10.2022 - 15.01.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Information Technology
- Campus
- Mikkeli Campus
- Teaching languages
- Finnish
- Seats
- 10 - 40
- Degree programmes
- Degree programme in Software Engineering
- Teachers
- Jari Kortelainen
- Teacher in charge
- Jari Kortelainen
- Groups
-
OTMI21SPSoftware Engineering, full-time studies
- Course
- OT00EK02
Objective
You know how to analyze time and space requirements for algorithms, and choose a suitable algorithm for a given problem.
You know the classic algorithms: Queue, stack, and list.
You know different sorting algorithms.
You can implement classic algorithms using a programming language.
Content
How to measure the performance of an algorithm?
How do search trees, lists and hash tables work?
What is dynamic programming and recursion?
How to solve graph and shortest path problems? What does optimization and search for optimal solution mean?
Evaluation
Students can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field.
Course material
To be settled at the course kick off.
Study forms and methods
Scheduled track:
You participate in lectures and exercises according to the weekly schedule.
Independent track:
You can show your competence e.g. by a certificate. To be settled at the course kick off.
RDI and work-related cooperation
To be settled later on.
Timing of exams and assignments
To be settled later on.
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
To be settled at the course kick off.