Data Structures and Algorithms (5 cr)
Code: 5051128-3012
General information
Enrollment
01.12.2024 - 13.01.2025
Timing
13.01.2025 - 30.04.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- English
Seats
0 - 45
Teachers
- Ali Khan
- Laura Järvenpää
Scheduling groups
- Group 1 (Size: 40. Open UAS: 0.)
- Group 2 (Size: 40. Open UAS: 0.)
Groups
-
PTIVIS23HHealth Technology
Small groups
- Group 1
- Group 2
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.
Additionally, if needed weekly 1h sessions for questions and support in exercises.
Exam schedules
No exam, and retake not possible after evaluation grade is published.
International connections
The course has 12 three-hour contact sessions where teacher present theory and examples and students work with practical tasks.
Additionally, students are able to receive extra guidance for exercises.
Electronic materials are used in the course. In addition, guidance is also organized online in order to reduce the carbon footprint caused by movement.
Completion alternatives
Not possible
Student workload
Contact hours
- Course introduction: 3 hours
- 13 times 2h theory: 13 x 2h = 26 hours
- 13 times 1h demo 13 x 1h = 13 hours - Group 1
- 13 times 1h demo 13 x 1h = 13 hours - - Group 2
- FLIP Classroom 10 X 1h = 10h
Home work:
- Working with assignments: approximately 80 hours
Total: approximately 130 hours
Content scheduling
Week 2: Course introduction
Session from Weeks 2 - 15
- Algorithms and algorithmic thinking
- Data structures
- Search algorithms
- Sorting algorithms
Contact hours according to lukkari.turkuamk.fi.
Further information
ITS and Teams.
Evaluation scale
H-5
Assessment methods and criteria
The course is graded on a scale of 0-5.
You can achieve 80 points from practical exercises in class room and home work exercises.
Around half of the exercises are done during the contact hours.
Demonstrations of exercises during the contact session is mandatory without demonstration you will lose 50% of your marks.
Additionally, there is a group project of 20 points, passing group project is mandatory to pass the course.
Lastly, to pass the course the student need to get at least 40 marks in the exercises and at least 10 marks in the project.
Assessment criteria, fail (0)
Less than 50% points in the exercises OR Student does not passed the group project.
Assessment criteria, satisfactory (1-2)
50 points -> 1
60 points -> 2
Assessment criteria, good (3-4)
70 points -> 3
80 points -> 4
Assessment criteria, excellent (5)
90 points -> 5
Qualifications
Introduction to Programming, or equivalent programming skills