COURSE SYLLABUS Intelligent Technology - Scientific Work 30 Credits Framtidens intelligenta teknik - Vetenskapligt arbete Second cycle, P7023A Version Autumn 2009 Sp 1 - Spring 2010 Sp 4Autumn 2010 Sp 1 - Spring 2011 Sp 4Autumn 2011 Sp 1 - Autumn 2011 Sp 1Autumn 2011 Sp 2 - Spring 2012 Sp 4Autumn 2012 Sp 1 - Spring 2013 Sp 4Autumn 2013 Sp 1 - Spring 2015 Sp 4Autumn 2015 Sp 1 - Spring 2017 Sp 4 Course syllabus valid: Autumn 2015 Sp 1 - Spring 2017 Sp 4The 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 G U 3 4 5 Subject Theoretical Neuroscience Subject group (SCB) Other Subjects within Technology Entry requirementsMinimum 90 ECTS first cycle and minimum 30 ECTS second cycle studies including P7034A Intelligent Technology - Computational Neuroscience. More information about English language requirements SelectionThe selection is based on 20-285 creditsCourse AimUpon finalizing the course the student shall have advanced know how about simulation of psychological and cognitive functions by means of a computer or a humanoid robot. The student shall also practice on carrying out and reporting a scientific work. The course is for engineers, behavioural scientists, natural scientists and others who want to learn about a highly topical and exciting field of research, applying to advanced intelligent machines.ContentsThe student shall simulate a cognitive function by means of a computer and write a paper about that.The work shall be based on up to date reasearch in the field of Computational cognitive neuroscience.RealizationInternet course, individual studies and guidance from lecturer.ExaminationWritten scientific report.Remarks Students must register for the courses themselves, or contact ETS educational administration eduets@ltu.se, not later than five days after the quarter commences. Failure to do so can result in the place being lost. This rule also applies to students with a guaranteed place. Taught in Swedish and English. Associated courses in the series Intelligent Technology are: P0008A Intelligent Technology of the future – Cognitive Science; P0012A Intelligent Technology – Computation & the Brain; P0065A Intelligent Technology – Computational Neuroscience I; P7045A Intelligent Technology – Neuroscience & Mathematics; P7010A Intelligent Technology – Cyborgs & Humanoid Robots; P0034A Intelligent Technology – Computational Neuroscience; P7023A Intelligent Technology – Scientific Work. ExaminerPeter BengtssonLiterature. Valid from Autumn 2015 Sp 1 (May change until 10 weeks before course start)Relevant reference litterture for the project Search books in the library » Course offered byDepartment of Business Administration, Technology and Social SciencesItems/credits NumberTypeCreditsGrade 0004Written presentation of scientific report30.0G U 3 4 5 Syllabus establishedby 18 Dec 2008Last revisedby Director of Undergraduate Studies Bo Jonsson, Department of Business Administration, Technology and Social Sciences 21 Oct 2014