Logic Programming, 6 credits

Logikprogrammering, 6 hp

TDDD08

Main field of study

Information Technology Computer Science and Engineering Computer Science

Course level

Second cycle

Course type

Programme course

Examiner

Wlodzimierz Drabent

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Programming and Algorithms) 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Programming and Algorithms) 9 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Programming and Algorithms Specialization) 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Programming and Algorithms Specialization) 9 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6MDAV Computer Science, Master's programme 3 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6MICS Computer Science, Master's programme 3 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Programming and Algorithms) 7 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Programming and Algorithms) 9 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6MMAT Mathematics, Master's programme 3 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E
6MMAT Mathematics, Master's programme (Computer Science) 3 (Autumn 2017) 1 4 Swedish/English Linköping, Valla E

Main field of study

Information Technology, Computer Science and Engineering, Computer Science

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Computer Science and Engineering, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Computer Science, Master's programme
  • Mathematics, Master's programme

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.

Prerequisites

Basic courses in discrete mathematics and logic, and a course on basic programming.

Intended learning outcomes

At the end of the course the student should demonstrate a deeper understanding of the basic logical concepts and its relation and application of the programming context. Furthermore, the student should demonstrate skills in logic and constraint programming in the programming language Prolog, and the ability to think and solve problems in a declarative way.

Course content

Logic, logic programming, declarative and operational semantics, negation as failure, Prolog, "cut", logic and databases, logic and grammars, search and constraint logic programming.

Teaching and working methods

The theoretical foundations are reviewed in lectures and practiced in the tutorials. Skills in Prolog and constraint programming are demonstrated in the laboratory classes.

Examination

LAB1Laboratory work2 creditsU, G
TEN1Written examination4 creditsU, 3, 4, 5

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Wlodzimierz Drabent

Course website and other links

http://www.ida.liu.se/~TDDD08/

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Additional literature

Books

  • Nilsson, U., Maluszynski, J., (1995) Logic, Programming and Prolog second edition John Wiley & Sons Ltd

Other

  • Laboratory material.

Code Name Scope Grading scale
LAB1 Laboratory work 2 credits U, G
TEN1 Written examination 4 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

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. 

Additional literature

Books

Nilsson, U., Maluszynski, J., (1995) Logic, Programming and Prolog second edition John Wiley & Sons Ltd

Other

Laboratory material.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
X
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
LAB1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
LAB1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
TEN1

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications

                            
3.3 Communication in foreign languages
X

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context
X

                            
4.3 Conceiving, system engineering and management
X
TEN1

                            
4.4 Designing
X
X
LAB1

                            
4.5 Implementing
X
X
LAB1

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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