Data structures and algorithmsLaajuus (3 cr)
Code: HTKA0060
Credits
3 op
Teaching language
- Finnish
Responsible person
- Tommi Tuikka
Objective
The purpose of the course
Do you want to learn how to design and develop more efficient algorithms and use more diverse data structures in their development? Data Structures and Algorithms is a course that deepens the knowledge of the basics of programming and develops the problem-solving skills needed in programming.
Course competencies
Application development expertise
Course competence
The student knows the most common data structures used in software development and is able to utilize them in the development of algorithms. The student knows the most common types of algorithms and understands the importance of the efficiency of algorithms. The student is able to apply the things learned in the course in solving problems related to software development. The aim of the course is not to achieve in-depth theoretical knowledge, but to provide a quick and practical overview of the topic.
Content
The most common data structures and types of algorithms, the use of data structures in the development of algorithms, the efficiency of algorithms, the applications of algorithms.
Qualifications
To participate in the course you will need to master the basics of programming in the Javascript programming language.
Assessment criteria, satisfactory (1)
(Adequate 1) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 50% of the tasks.
(Satisfactory 2) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 70% of the tasks.
Assessment criteria, good (3)
(Good 3) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to do all the exercises and reached the result specified in the instructions in at least 80% of the tasks.
(Commendable 4) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to complete all the exercises and reached the result specified in the instructions in at least 90% of the tasks.
Assessment criteria, excellent (5)
(Excellent 5) In addition to the above requirements, the student is able to critically evaluate the functionality of data structures and algorithms in different situations and understand their selection criteria for different uses. He has completed all the exercises and reached the end result specified in the instructions.
Timing
26.08.2024 - 11.10.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Business
Campus
Main Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Bachelor's Degree Programme in Business Information Technology
Teachers
- Tommi Tuikka
Groups
-
ZJA24SIAvoin amk, tiko
-
HTK23S1Tietojenkäsittely (AMK)
Objectives
The purpose of the course
Do you want to learn how to design and develop more efficient algorithms and use more diverse data structures in their development? Data Structures and Algorithms is a course that deepens the knowledge of the basics of programming and develops the problem-solving skills needed in programming.
Course competencies
Application development expertise
Course competence
The student knows the most common data structures used in software development and is able to utilize them in the development of algorithms. The student knows the most common types of algorithms and understands the importance of the efficiency of algorithms. The student is able to apply the things learned in the course in solving problems related to software development. The aim of the course is not to achieve in-depth theoretical knowledge, but to provide a quick and practical overview of the topic.
Content
The most common data structures and types of algorithms, the use of data structures in the development of algorithms, the efficiency of algorithms, the applications of algorithms.
Time and location
Autumn 2024
Learning materials and recommended literature
Study material on the course website https://tiko.jamk.fi/~tuito/tira/
Teaching methods
Video lectures and contact hours with guidance.
The course can also be completed entirely online. The course includes pre-recorded video lectures and the solutions to the tasks can be tested by means of the unit tests provided. In addition, the course includes a 0.5-1 hour personal assessment interview with the teacher via Zoom.
Student workload
81 hours
Further information for students
The exercises will be assessed in a personal assessment interview. Understanding the solutions to the exercises and answering the teacher's questions will be the main focus of the assessment. Simply completing the exercises, e.g. with the help of AI, does not guarantee a grade.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
(Adequate 1) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 50% of the tasks.
(Satisfactory 2) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 70% of the tasks.
Evaluation criteria, good (3-4)
(Good 3) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to do all the exercises and reached the result specified in the instructions in at least 80% of the tasks.
(Commendable 4) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to complete all the exercises and reached the result specified in the instructions in at least 90% of the tasks.
Evaluation criteria, excellent (5)
(Excellent 5) In addition to the above requirements, the student is able to critically evaluate the functionality of data structures and algorithms in different situations and understand their selection criteria for different uses. He has completed all the exercises and reached the end result specified in the instructions.
Prerequisites
To participate in the course you will need to master the basics of programming in the Javascript programming language.
Enrollment
01.08.2023 - 24.08.2023
Timing
28.08.2023 - 27.10.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Business
Campus
Main Campus
Teaching languages
- Finnish
Seats
20 - 45
Degree programmes
- Bachelor's Degree Programme in Business Information Technology
Teachers
- Tommi Tuikka
Groups
-
HTK22S1Tietojenkäsittely (AMK)
-
ZJA23SIAvoin amk, tiko
Objectives
The purpose of the course
Do you want to learn how to design and develop more efficient algorithms and use more diverse data structures in their development? Data Structures and Algorithms is a course that deepens the knowledge of the basics of programming and develops the problem-solving skills needed in programming.
Course competencies
Application development expertise
Course competence
The student knows the most common data structures used in software development and is able to utilize them in the development of algorithms. The student knows the most common types of algorithms and understands the importance of the efficiency of algorithms. The student is able to apply the things learned in the course in solving problems related to software development. The aim of the course is not to achieve in-depth theoretical knowledge, but to provide a quick and practical overview of the topic.
Content
The most common data structures and types of algorithms, the use of data structures in the development of algorithms, the efficiency of algorithms, the applications of algorithms.
Further information for students
Avoin 2
EduFutura 3
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
(Adequate 1) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 50% of the tasks.
(Satisfactory 2) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 70% of the tasks.
Evaluation criteria, good (3-4)
(Good 3) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to do all the exercises and reached the result specified in the instructions in at least 80% of the tasks.
(Commendable 4) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to complete all the exercises and reached the result specified in the instructions in at least 90% of the tasks.
Evaluation criteria, excellent (5)
(Excellent 5) In addition to the above requirements, the student is able to critically evaluate the functionality of data structures and algorithms in different situations and understand their selection criteria for different uses. He has completed all the exercises and reached the end result specified in the instructions.
Prerequisites
To participate in the course you will need to master the basics of programming in the Javascript programming language.
Enrollment
01.08.2022 - 25.08.2022
Timing
29.08.2022 - 21.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
2 op
Mode of delivery
34 % Face-to-face, 66 % Online learning
Unit
School of Business
Teaching languages
- Finnish
Seats
0 - 45
Degree programmes
- Bachelor's Degree Programme in Business Information Technology
Teachers
- Tommi Tuikka
Groups
-
ZJK22SIKorkeakoulujen välinen yhteistyö, TIKO
-
HTK21S1Tietojenkäsittely (AMK)
-
ZJA22SIAvoin AMK, tiko
Objectives
The purpose of the course
Do you want to learn how to design and develop more efficient algorithms and use more diverse data structures in their development? Data Structures and Algorithms is a course that deepens the knowledge of the basics of programming and develops the problem-solving skills needed in programming.
Course competencies
Application development expertise
Course competence
The student knows the most common data structures used in software development and is able to utilize them in the development of algorithms. The student knows the most common types of algorithms and understands the importance of the efficiency of algorithms. The student is able to apply the things learned in the course in solving problems related to software development. The aim of the course is not to achieve in-depth theoretical knowledge, but to provide a quick and practical overview of the topic.
Content
The most common data structures and types of algorithms, the use of data structures in the development of algorithms, the efficiency of algorithms, the applications of algorithms.
Time and location
Syksy 2022
Learning materials and recommended literature
Oppimateriaali verkkosivuilla
Teaching methods
Videoluennot ja ohjaustunnit
Student workload
87 tuntia
Further information for students
EduFutura 5
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
(Adequate 1) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 50% of the tasks.
(Satisfactory 2) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 70% of the tasks.
Evaluation criteria, good (3-4)
(Good 3) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to do all the exercises and reached the result specified in the instructions in at least 80% of the tasks.
(Commendable 4) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to complete all the exercises and reached the result specified in the instructions in at least 90% of the tasks.
Evaluation criteria, excellent (5)
(Excellent 5) In addition to the above requirements, the student is able to critically evaluate the functionality of data structures and algorithms in different situations and understand their selection criteria for different uses. He has completed all the exercises and reached the end result specified in the instructions.
Prerequisites
To participate in the course you will need to master the basics of programming in the Javascript programming language.
Timing
10.01.2022 - 20.05.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Business
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Business Information Systems
Teachers
- Tommi Tuikka
Groups
-
ZJK22KIKorkeakoulujen välinen yhteistyö, TIKO
-
ZJA22KIAvoin AMK, tiko
Objectives
The purpose of the course
Do you want to learn how to design and develop more efficient algorithms and use more diverse data structures in their development? Data Structures and Algorithms is a course that deepens the knowledge of the basics of programming and develops the problem-solving skills needed in programming.
Course competencies
Application development expertise
Course competence
The student knows the most common data structures used in software development and is able to utilize them in the development of algorithms. The student knows the most common types of algorithms and understands the importance of the efficiency of algorithms. The student is able to apply the things learned in the course in solving problems related to software development. The aim of the course is not to achieve in-depth theoretical knowledge, but to provide a quick and practical overview of the topic.
Content
The most common data structures and types of algorithms, the use of data structures in the development of algorithms, the efficiency of algorithms, the applications of algorithms.
Time and location
Kevät 2022
Learning materials and recommended literature
Oppimateriaali verkkosivuilla
Teaching methods
Videoluennot, tehtävät
Student workload
87 tuntia
Evaluation scale
Pass/Fail
Evaluation criteria, satisfactory (1-2)
(Adequate 1) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 50% of the tasks.
(Satisfactory 2) The student is able to use data structures and implement simple algorithms using models presented in lessons or tutorials on the web. He has tried to do all the exercises and reached the result determined by the instructions in at least 70% of the tasks.
Evaluation criteria, good (3-4)
(Good 3) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to do all the exercises and reached the result specified in the instructions in at least 80% of the tasks.
(Commendable 4) The student is able to use data structures and implement simple algorithms and is able to apply the learned methods also in the development of slightly more demanding algorithms. He is able to expand his knowledge on his own initiative beyond the things presented in the course. He has tried to complete all the exercises and reached the result specified in the instructions in at least 90% of the tasks.
Evaluation criteria, excellent (5)
(Excellent 5) In addition to the above requirements, the student is able to critically evaluate the functionality of data structures and algorithms in different situations and understand their selection criteria for different uses. He has completed all the exercises and reached the end result specified in the instructions.
Prerequisites
To participate in the course you will need to master the basics of programming in the Javascript programming language.