Data structures and algorithms (3 cr)

Evaluation scale

0-5

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.

Location and time

Autumn 2024

Materials

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

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.

Qualifications

To participate in the course you will need to master the basics of programming in the Javascript programming language.

Further information

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.