Logic Programming (CMPE413) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Logic Programming CMPE413 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to teach different logic programming concepts via programming practices realized by using different logic programming languages. The students will be able to compare how different logic programming concepts are handled in different type of languages. The students get a chance to apply their knowledge by completing homework assignments written in example logic programming languages.
Course Learning Outcomes The students who succeeded in this course;
  • Gain necessary knowledge for LISP/Prolog programming.
  • Discuss main constructs of logic programming languages.
  • Comprehend the basic differences between logic programming and imperative, functional, and object-oriented languages.
  • Identify practical/suitable usage areas for logic programming.
Course Content Lisp programming: symbolic expressions, elementary functions, Lambda notation, forms, functions, list structures, Prolog programming: facts, rules, relationships; data structures; backtracking; input/output; built-in predicates.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Logical Agents Chapter 7 (from other source 5)
2 First-Order Logic Chapter 8 (from other source 5)
3 Inference in First-Order Logic Chapter 9 (from other source 5)
4 Inference in First-Order Logic Chapter 9 (from other source 5)
5 Clauses, Predicates, Satisfying Goals, Operators and Arithmetic (In Prolog) Chapter 2,3,4 (from other source 1)
6 Input Outputs /Loops /Preventing Backtracking (In Prolog) Chapter 5,6,7 (from other source 1)
7 List Processing String Processing (In Prolog) Chapter 9,10 (from other source 1)
8 Syntax, Semantics, Functions, Variables (in LISP) Chapter 4,5,6 (from main text)
9 Syntax, Semantics, Functions, Variables (in LISP) Chapter 4,5,6 (from main text)
10 Control Structures, Macros (in LISP) Chapter 7,8 (from main text)
11 Numbers, Characters, Strings, Collections, File I/O (in LISP) Chapter 10,11,14 (from main text)
12 Object Reorientation (Generic functions, Classes) (in LISP) Chapter 16,17 (from main text)
13 Object Reorientation (Generic functions, Classes) (in LISP) Chapter 16,17 (from main text)
14 Practical Applications (in LISP) Chapter 26,27,28 (from main text)
15 Review
16 Review

Sources

Course Book 1. Seibel, P., “Practical Common LISP”, 2005, Springer.
Other Sources 2. M.Bramer, “Logic Programming with Prolog”, 2005, Springer, ISBN: 1-85233-938-1.
3. L.Sterling, E.Shapiro, “The Art of Prolog: Advanced Programming Techniques”, (MIT Press Series in Logic Programming),
5. http://common-lisp.net/
6. Artificial Intelligence : A Modern Approach (Second Edition)., Stuart Russell and Peter Norvig, Prentice-Hall, 2003, ISBN: 0-13-790395.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 15
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 30
Toplam 5 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 125