Data Structures and AlgorithmsLaajuus (5 cr)
Code: 4_EFA8030
Credits
5 op
Teaching language
- English
Learning objectives
Student understands the importance of algorithms and can analyse asymptotic time complextity of simple algorithms.
Student can select and reason correct data structure (abstract data type) for an application and use the chosen structure efficiently.
Student can use efficiently the standard library of his/hers programming language.
Student knows and can implement most common abstract data types, list, tree, and set.
Student can design and implement an algorithm for a simple problem.
Student can search, select, and apply proper algorithm from literature for given problem.
Student knows the principle of recursion and can implement a recursive algorithm.
Content
Algorithms and running time analysis.
Abstract data types.
Implementing data structures.
Searching and sorting algorithms.
Simple recursive algorithms.
Materials
Lecture notes. Any book on data structures and algorithms.
Qualifications
Basics of Programming 1, Basics of Programming 2
Enrollment
01.12.2024 - 15.01.2025
Timing
01.01.2025 - 31.07.2025
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Internet of Things
Teachers
- Ville Berg
Student groups
-
IT23SPInformation Technology IOT
Teaching methods
In this course you will learn basic of data structures and algorihits.
Techings will be hybrid-teachings which means that you can choose to participate remotely if needed. There are about 4 hours of teaching per week for from the beginning of course until independent study week.
Course is passed by doing weekly tasks and participating in course exam(s).
Alternative implementation methods
Exam in exam system
Student workload
Lectures 40 hours, 8 hours to exams and about 80 hours of independent studying
Qualifications
Basics of Programming 1, Basics of Programming 2
Materials
Lecture notes. Any book on data structures and algorithms. For example
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein: Introduction to Algorithms, 3rd Ed. The MIT Press, 2009
Further information
Course is part of degree programme in Internet of Things.
Enrollment
01.12.2023 - 15.01.2024
Timing
08.01.2024 - 30.04.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Ville Berg
Student groups
-
EF22SPBachelor Degree Programme in Information Technology IOT
Teaching methods
In this course you will learn basic of data structures and alforihits.
Techings will be hybrid-teachings which means that you can choose to participate remotely if needed. There are about 4 hours of teaching per week for from the beginning of course until independent study week.
Course is passed by doing weekly tasks and participating in courses exams.
Alternative implementation methods
Exam in exam system
Student workload
Lectures 40 hours, 8 hours to exams and about 80 hours of independent studying
Qualifications
Basics of Programming 1, Basics of Programming 2
Materials
Lecture notes. Any book on data structures and algorithms. For example
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein: Introduction to Algorithms, 3rd Ed. The MIT Press, 2009
Further information
Course is part of degree programme in Internet of Things.
Enrollment
01.12.2022 - 15.01.2023
Timing
01.01.2023 - 30.05.2023
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Ville Berg
Student groups
-
EF21SPBachelor Degree Programme in Information Technology IOT
Teaching methods
In this course you will learn basic of data structures and alforihits.
Techings will be hybrid-teachings which means that you can choose to participate remotely if needed. There are about 4 hours of teaching per week for from the beginning of course until independent study week.
Course is passed by doing weekly tasks and participating in two middle exams.
Alternative implementation methods
Exam
Student workload
Lectures 40 hours, 8 hours to exams and about 80 hours of independent studying
Qualifications
Basics of Programming 1, Basics of Programming 2
Materials
Lecture notes. Any book on data structures and algorithms. For example
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein: Introduction to Algorithms, 3rd Ed. The MIT Press, 2009