Data Structures and Algorithms with PythonLaajuus (5 cr)
Code: TX00FK26
Credits
5 op
Teaching language
- English
Responsible person
- Janne Salonen
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Assessment criteria, satisfactory (1)
- Passed Exam
Enrollment
02.07.2024 - 31.07.2024
Timing
01.08.2024 - 31.07.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop7VIOPE_NonStop7
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
16.04.2024 - 31.12.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teachers
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
ATX25TV_MAKSULLINEN_JÄRJESTELMÄOpen UAS 2025
-
ATX24TV_MAKSULLINEN_JÄRJESTELMÄATX24TV Open UAS
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Location and time
Course environment is Metropolia's Moodle environment and course can be done in own pace.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online in course pace.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's starting level.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Assessment methods and criteria
Pass after all of tasks and Final has been approved.
Timing
01.01.2024 - 31.12.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teacher in charge
Janne Salonen
Groups
-
ATX24TVNonStop virtual studies year 2024
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Location and time
Course environment is Metropolia's Moodle environment and course can be done in own pace.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online in course pace.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's starting level.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Assessment methods and criteria
Pass after all of tasks and Final has been approved.
Timing
01.01.2024 - 31.07.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teacher in charge
Janne Salonen
Groups
-
ATX24TV_MAKSULLINEN_JÄRJESTELMÄATX24TV Open UAS
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Location and time
Course environment is Metropolia's Moodle environment and course can be done in own pace.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online in course pace.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's starting level.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Assessment methods and criteria
Pass after all of tasks and Final has been approved.
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop6VIOPE_NonStop6
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_9Viope_nonstop_9
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_11Viope_nonstop_11
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_12Viope_nonstop_12
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_13Viope_nonstop_13
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
01.01.2024 - 31.12.2027
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 10000
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
IT_path_180_ectsInformation Technology, Open path 180 ECTS
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Location and time
Online, self-study course.
Materials
Online.
Teaching methods
Course is 100% online (Self-Study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online.
International connections
N/A
Completion alternatives
N/A
Student workload
Up to Student her-/himself.
Content scheduling
Up to Student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Enrollment
02.07.2023 - 31.07.2023
Timing
01.08.2023 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Timing
01.08.2023 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teacher in charge
Janne Salonen
Groups
-
ATX23TV_SYKSYOpen UAS TestOut and Moodle courses
Objective
After completing the course, student has ability to make comparisons about which data structure and/or algorithm is good for certain programming tasks. She/he has gained ability to use data structures and algorithms in her/his programming.
Content
- Python data types and structures (A Python brief summary)
- Algorithm performance basics and arrays
- Lists
- Stacks and queues
- Trees
- Hashing
- Graphs
- Priority queues and heaps, searching
- Sorting
- Algorithms' design techniques
Location and time
Course environment is Metropolia's Moodle environment and course can be done in own pace.
Materials
Online.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online in course pace.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's starting level.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- Passed exam
Assessment methods and criteria
Pass after all of tasks and Final has been approved.