Artificial Intelligence - Project, 5 credits (TDDD92)

Artificiell intelligens - projekt, 5 hp

Main field of study

Computer Science and Engineering

Level

First cycle

Course type

Programme course

Examiner

Fredrik Heintz

Director of studies or equivalent

Peter Dalenius
Course offered for Semester Period Timetable module Language Campus VOF
6CMJU Computer Science and Software Engineering, M Sc in Engineering 5 (Autumn 2017) 1, 2 4, 4 Swedish Linköping o

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Computer Science and Software Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Examination

UPG2Individual written reportU, 3, 4, 52 credits
UPG1Project assignmentU, 3, 4, 53 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Peter Dalenius

Examiner

Fredrik Heintz

Course website and other links

Education components

Preliminary scheduled hours: 0 h
Recommended self-study hours: 133 h

Course literature

Additional literature

Articles

Additional literature

Articles

UPG2 Individual written report U, 3, 4, 5 2 credits
UPG1 Project assignment U, 3, 4, 5 3 credits

Regulations (apply to LiU in its entirety)

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LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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