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 Bachelor’s Degree (First Cycle)
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)

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),
4. http://www.atilim.edu.tr/~hurevren/COMPE462/Sebesta_Ch16.ppt
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 Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems. X
2 To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose.
4 To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively.
5 Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering.
6 Can work effectively in disciplinary and multidisciplinary teams; can work individually.
7 a. Communicates effectively both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. b. Knows at least one foreign language.
8 To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously.
9 a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications.
10 a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development.
11 a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions.

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