Data Structures and Algorithms (5 cr)
Code: TT00CN71-3004
General information
- Enrollment
-
01.06.2025 - 01.09.2025
Registration for introductions has not started yet.
- Timing
-
01.09.2025 - 21.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 30 - 60
- Degree programmes
- Degree Programme in Information and Communication Technology
- Degree Programme in Business Information Technology
- Degree Programme in Information and Communications Technology
- Teachers
- Laura Järvenpää
- Scheduling groups
- Pienryhmä 1 (Size: 30 . Open UAS : 0.)
- Pienryhmä 2 (Size: 30 . Open UAS : 0.)
- Groups
-
EHEA24BHealth technology
-
EHEA24AHealth Technology
- Small groups
- Group 1
- Group 2
- Course
- TT00CN71
Evaluation scale
H-5
Content scheduling
- Algorithms and algorithmic thinking
- Data structures
- Search algorithms
- Sorting algorithms
Contact hours according to lukkari.turkuamk.fi.
Objective
After completing the course the student can:
- explain the most common data structures
- apply the most common data structures and algorithms connected to the use of these structures
- evaluate the efficiency of algorithms.
Content
- lists, stacks, queues, trees, graphs and hash tables
- analysing and evaluating algorithms
- designing algorithms
- sorting methods
- search algorithms
Materials
Material available via the learning environment (ITS).
Teaching methods
Weekly contact 3 hours sessions for theory and practical exercises. Project work and project work presentation.
Exam schedules
If your attendance in practice sessions is less than 60 % you have to do demonstration exam.
Format and dates for exam are decided when number of students participating in the exam is known.
Pedagogic approaches and sustainable development
Course has weekly
- 2h theory sessions that contain small exercises for students
- 1h practice session where students homework is checked and discussed in small groups
Electronic materials are used in the course.
Completion alternatives
Not possible
Student workload
Contact hours
- 14 times 2h theory: 14 x 2h = 28 hours
- 13 times 1h practice 13 x 1h = 13 hours - Group 1
- 13 times 1h practice 13 x 1h = 13 hours - Group 2
Home work:
- Working with assignments: approximately 80 hours
Total: approximately 130 hours
Evaluation methods and criteria
The course is evaluated on a scale of 0-5.
Attendance to theory sessions: 20 %
Exercises are 40 % of the grade
Project work 40 % of the grade
Project work presentation is either pass/failed where failed means that you didn't do it.
To get exercise points you have to do and return assignments in time, be present and participate in group conversation during the practice sessions. If your attendance in practice sessions is less than 60 % you have to do demonstration exam which replaces your exercise points. To pass the exam you need 40% of the total points of the exam. Existing exercise points are taken into account in the assessment of the exam.
Failed (0)
If you have less than 50% of exercise points and did not pass demonstration exam or have less than 50% of the project work points or did not do project work presentation.
Assessment criteria, satisfactory (1-2)
50-69 % of the total points of the course
Assessment criteria, good (3-4)
70-89 % of the total points of the course
Assessment criteria, excellent (5)
over 90 % of the total points of the course
Qualifications
Introduction to Programming, or equivalent programming skills
Further information
ITS e-mail.