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COURSE SYLLABUS

Project in Interactive Systems 15 credits

Projekt i interaktiva system
Second cycle, D7057E
Version
Course syllabus valid: Autumn 2020 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.


Education level
Second cycle
Grade scale
U G#
Subject
Computer Science and Engineering
Subject group (SCB)
Computer Technology
Main field of study
Computer Science and Engineering

Entry requirements

Degree of Bachelor of Science or correspondent within the subject area. The student should have knowledge about object-oriented programming and design, the design and analysis of algorithms and data structures, and discrete mathematics, equivalent to the courses D0009E - Introduction to Programming, D0010E - Object-oriented Programming and Design, D0012E - Algorithms and Data Structures, D7009E - Algorithms, and M0009M - Discrete Mathematics. Good knowledge in English equivalent to English 6. More information about the English language requirements [http://www.ltu.se/edu/bli-student/Application-process/English-language-requirements-1.109316?l=en]


More information about English language requirements


Selection

The selection is based on 20-285 credits



Course Aim

The student will work independently and in groups to investigate the usability of different models of computation and computational techniques, study and analyse different computational problems, as well as to report the results with both written documentation and oral presentation.The focus of the course in on solving problems that result in a larger software system that utilizes modern interaction and computer gaming technologies.

The student should be able to:

  • work in a group with jointly solving a bigger computer software problem that utilizes modern interaction technologies 
  • demonstrate the ability to critically, independently and creatively identify, formulate and solve a computer science problem
  • demonstrate the ability to identify the need for knowledge to solve a computer science problem and to apply knowledge in mathematics and computer science for specific issues
  • have a understanding of ethical problems related to computational solutions
  • model, simulate, predict and evaluate the computational solutions with respect to resource consumption and the sustainability
  • demonstrate the ability to participate in development work and thereby contribute to the development of knowledge in computer science
  • demonstrate an ability to discuss and explain the development process, both orally and in writing with specialists as well as laymen  

Contents

The course consists of work in a project group where the assignment is based on an interesting computer science problem. Students will apply knowledge obtained from the previous courses and from the search in the literature to solve the given problem in a team. The students should be able to explain, compare and analyze the computational solutions with respect to resource consumption and sustainability.The students plan and implement the project independently with the support of the supervisor.


Realization

The students are part of choosing the project they are going to work on. Regular accounts of the work progress are presented to the supervisor. The course contains lectures, project work, seminars, individual study, mandatory oral presentations, and written reports. 


Examination

Mandatory meetings with the supervisor for oral presentations of the work progress, self assessments of the student’s own work, and seminars. The final result is presented with a written report and a seminar and packaging of the within the course developed software. 


Remarks

The course can not be combined with other project course at advanced level from the Department of Computer Science, Electrical and Space Engineering.  

Examiner
Peter Parnes

Literature. Valid from Autumn 2020 Sp 1 (May change until 10 weeks before course start)
Project courses on advanced level at the Department of Computer Science, Electrical and Space Engineering are of different character and can contain project work, seminars, and lectures. Therefore, it is hard to set the literature in advance. Contact the examiner for more information.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules
CodeDescriptionGrade scaleCrStatusFrom periodTitle
0001ProjectU G#15.00MandatoryA20

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

Syllabus established
by Jonny Johansson, HUL SRT 21 Feb 2020

Last revised
by Jonny Johansson, HUL SRT 21 Feb 2020