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Data Structures and AlgorithmsLaajuus (5 op)

Tunnus: TT00CN71

Laajuus

5 op

Osaamistavoitteet

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.

Sisältö

- lists, stacks, queues, trees, graphs and hash tables
- analysing and evaluating algorithms
- designing algorithms
- sorting methods
- search algorithms

Esitietovaatimukset

Introduction to Programming, or equivalent programming skills

Ilmoittautumisaika

24.07.2024 - 09.09.2024

Ajoitus

02.09.2024 - 15.12.2024

Opintopistemäärä

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tekniikka ja liiketoiminta

Toimipiste

Kupittaan kampus

Opetuskielet
  • Englanti
Paikat

30 - 65

Koulutus
  • Tieto- ja viestintätekniikan koulutus
  • Tietojenkäsittelyn koulutus
  • Degree Programme in Information and Communications Technology
Opettaja
  • Ali Khan
Vastuuopettaja

Ali Khan

Ajoitusryhmät
  • Group 1 (Koko: 35. Avoin AMK: 0.)
  • Group 2 (Koko: 35. Avoin AMK: 0.)
Ryhmät
  • PTIETS23deai
    Data Engineering and Artificial Intelligence
  • PTIVIS23I
    Data Engineering and Artificial Intelligence
Pienryhmät
  • Group 1
  • Group 2

Tavoitteet

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.

Sisältö

- lists, stacks, queues, trees, graphs and hash tables
- analysing and evaluating algorithms
- designing algorithms
- sorting methods
- search algorithms

Oppimateriaalit

Material available via the learning environment (ITS).

Opetusmenetelmät

Weekly contact 3 hours sessions for theory and practical exercises.
Additionally, if needed weekly 1h sessions for questions and support in exercises.

Tenttien ajankohdat ja uusintamahdollisuudet

No exam, and retake not possible after evaluation grade is published.

Pedagogiset toimintatavat ja kestävä kehitys

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.

Toteutuksen valinnaiset suoritustavat

Not possible

Opiskelijan ajankäyttö ja kuormitus

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

Sisällön jaksotus

Week 36: Course introduction

Session from Weeks 36 - 48
- Algorithms and algorithmic thinking
- Data structures
- Search algorithms
- Sorting algorithms

Contact hours according to lukkari.turkuamk.fi.

Viestintäkanava ja lisätietoja

ITS and Teams.

Arviointiasteikko

H-5

Arviointimenetelmät ja arvioinnin perusteet

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.

Hylätty (0)

Less than 50% points in the exercises OR Student does not passed the group project.

Arviointikriteerit, tyydyttävä (1-2)

50 points -> 1
60 points -> 2

Arviointikriteerit, hyvä (3-4)

70 points -> 3
80 points -> 4

Arviointikriteerit, kiitettävä (5)

90 points -> 5

Esitietovaatimukset

Introduction to Programming, or equivalent programming skills

Ilmoittautumisaika

01.12.2023 - 17.01.2024

Ajoitus

08.01.2024 - 30.04.2024

Opintopistemäärä

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tekniikka ja liiketoiminta

Toimipiste

Kupittaan kampus

Opetuskielet
  • Suomi
  • Englanti
Paikat

10 - 40

Koulutus
  • Tieto- ja viestintätekniikan koulutus
  • Tietojenkäsittelyn koulutus
  • Degree Programme in Information and Communications Technology
Opettaja
  • Ali Khan
Vastuuopettaja

Ali Khan

Ryhmät
  • PTIETS22deai
    PTIETS22 Datatekniikka ja Tekoäly
  • PTIVIS22I
    Data Engineering and AI

Tavoitteet

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.

Sisältö

- lists, stacks, queues, trees, graphs and hash tables
- analysing and evaluating algorithms
- designing algorithms
- sorting methods
- search algorithms

Oppimateriaalit

Material available via the learning environment (ITS).

Opetusmenetelmät

Weekly contact sessions when 3 hours for theory and practical exercises.
Additionally, weekly 1h sessions for questions and support in exercises.

Pedagogiset toimintatavat ja kestävä kehitys

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.

Toteutuksen valinnaiset suoritustavat

-

Opiskelijan ajankäyttö ja kuormitus

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and practice: 12 x 3h = 36 hours
- 10 times Questions & Support: 10 x 1h = 10 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 130 hours

Sisällön jaksotus

Week 2: Course introduction

Weeks 2 - 15
- Algorithms and algorithmic thinking
- Data structures
- Search algorithms
- Sorting algorithms

Contact hours according to lukkari.turkuamk.fi.

Viestintäkanava ja lisätietoja

ITS and Teams.

Arviointiasteikko

H-5

Arviointimenetelmät ja arvioinnin perusteet

The course is graded on a scale of 0-5.

You can achieve points from practical exercises in class room and home work exercises.
Around half of the exercises are done during the contact hours.

Additionally, there is an exam during the last contact session that will be used an option to pass the course with grade 1 or 2.

Hylätty (0)

Less than 50% points in the exercises OR Student does not passed the exam.

Arviointikriteerit, tyydyttävä (1-2)

50% - 69% points in the exercises OR student has passed the test in the final contact session.

Arviointikriteerit, hyvä (3-4)

70% - 89% points in the exercises.

Arviointikriteerit, kiitettävä (5)

At least 90% points in the exercises.

Esitietovaatimukset

Introduction to Programming, or equivalent programming skills