Code: | EIC0026 | Acronym: | PLOG |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Programming |
Active? | Yes |
Responsible unit: | Department of Informatics Engineering |
Course/CS Responsible: | Master in Informatics and Computing Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEIC | 155 | Syllabus since 2009/2010 | 3 | - | 5 | 56 | 135 |
The Logic Programming paradigm is a declarative approach to programming, based on formal reasoning processes, which is more appropriate to address some types of problems. Constraint logic programming allows addressing constraint satisfaction and optimization problems by modeling them in a straightforward and elegant fashion.
Aims: To get acquainted with the Logic Programming and Constraint Programming paradigms. To develop skills for abstract reasoning and declarative problem representation.
The course focuses on first-order logic programming. On the practical side the Prolog programming language is explored. Additionally, constraint logic programming is also introduced, and several application examples are provided.
Percentual Distribution: Scientific component: 50%; Technological component: 50%
At the end of this course, students should be able to:
Moreover, students should have acquired programming skills required for assignments of other courses in the domain of Artificial Intelligence.
Although the course does not have any special prerequisites, any knowledge obtained from the courses of Programming Fundamentals, Programming, Algorithms and Data Structures, and Algorithm Design and Analysis, are useful for the course of Logic Programming.
Foundations of Logic Programming
Logic Programming
The Prolog Language
Advanced Prolog Programming Techniques
Constraint Logic Programming
Theoretical classes are used for exposition of the main (constraint) logic programming concepts, presentation and discussion of practical examples. Practical classes are used to solve programming exercises and for assisting students on their practical assignments.
Designation | Weight (%) |
---|---|
Exame | 50,00 |
Participação presencial | 0,00 |
Trabalho laboratorial | 50,00 |
Total: | 100,00 |
Designation | Time (hours) |
---|---|
Estudo autónomo | 10,00 |
Frequência das aulas | 60,00 |
Trabalho laboratorial | 65,00 |
Total: | 135,00 |
Enrolled students are admitted to exam if they do not exceed the allowed number of non-attendance to lab classes (maximum 25% of non-attendance) and provided that they obtain a minimum of 7 values (out of 20) in the evaluation of each practical assignment.
Final Grade = 50% * Assignments + 50% * Exam
Assignments = 65% * Assignment1 + 35% * Assignment2
Assignment1 = 25% * Inter1 + 75% * Final1
Exam: Exam final grade.
Assignments: Final grade for both Assignments.
Inter1: Interim evaluation grade for Assignment 1.
Final1: Final evaluation grade for Assignment 1 (Report and Demo).
Assignment2: Evaluation grade for Assignment 2 (Report and Demo).
To obtain approval in the course, a minimum grade of 7 values (out of 20) is required in the Exam. The Exam will be open-book.
The course has 50% of practical evaluation required to all students. Practical assignments must be performed in the appropriate semester following the rules available at the course website. The 1st assignment interfaces with the LAIG course (for students enrolled in that course).
Important dates for assignments and demos:
Evaluation in special seasons consists of one practical Assignment and a written Exam, where each of these components weights 50% on the final grade.
Practical evaluation is required to ALL students. Students must perform and present two practical assignments (see course website for details). The practical assignments are evaluated as described in the course website (report+demo). Students’ enrolled using special frequency modes, without obligation to attend to the practical classes, must arrange with the teachers appropriate consultation and evaluation sessions.
Exam grade improvement: in the available exam dates.
Distributed evaluation improvement: this is practical evaluation and can only be improved in the assignment dates of the course, in the following edition.