ECTS - Introduction to Artificial Intelligence
Introduction to Artificial Intelligence (CMPE462) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Introduction to Artificial Intelligence | CMPE462 | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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CMPE323 Algoritma |
Course Language | English |
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Course Type | N/A |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce basic concepts in both symbolic and non-symbolic approaches to Artificial Intelligence (AI). |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Agent Paradigm, Problem Solving by Searching, Informed/Uninformed Search Methods, Genetic Algorithms, Simulated Annealing, Constraint Satisfaction Problems, Adversarial Search, Ant Colony Optimization, Particle Swarm Optimization, Artificial Bee Colony Optimization, Multi-Agent Systems & Intelligent Agents, Multi-Agent Interactions, Philosophical Foundations & Ethics. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Agent Paradigm | Chapters 1-2 (main text) |
2 | Agent Paradigm | Chapter 1-2 |
3 | Problem Solving by Searching, | Ch 3 |
4 | Informed/Uninformed Search Methods | Ch. 4 |
5 | Genetic Algorithms and Simulated Annealing | Ch. 4 |
6 | Constraint satisfaction problems | Ch. 5 |
7 | Adversarial Search | Ch. 6 |
8 | Logical Agents | Ch. 7 |
9 | Knowledge Engineering | Resource #5 |
10 | Expert Systems | Resource #4 |
11 | Expert Systems | Resource #4 |
12 | Communication | Ch. 22 |
13 | Communication | Ch. 22 |
14 | AI Applications | Resource #3 |
Sources
Course Book | 1. Artificial Intelligence: A Modern Approach (Second Edition). Stuart Russell and Peter Norvig Prentice-Hall, 2003, ISBN: 0-13-790395 |
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Other Sources | 2. 1. Artificial Intelligence, Patrick H. Winston, Addison-Wesley, 1992. ISBN: 0-201-533774. |
3. 2. http://www.cs.rmit.edu.au/AI-Search/Product/ | |
4. 3. “Engineering Applications of Artificial Intelligence” journal, ISSN: 0952-1976, Elsevier, B.V. | |
5. 4. Expert Systems: Principles and Programming, Fourth Edition by Joseph C. Giarratano and Gary D. Riley, PWS Publishing Company, 2004. | |
6. 5. Knowledge Representation and Reasoning, Ronald Brachman and Hector Levesque, The Morgan Kaufmann Series in Artificial Intelligence , 2004. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 3 | 35 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 25 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 5 | 100 |
Percentage of Semester Work | 60 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | X |
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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 | Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area | |||||
2 | Can apply gained knowledge and problem solving abilities in inter-disciplinary research | |||||
3 | Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary | |||||
4 | Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study | |||||
5 | Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework | X | ||||
6 | Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility | |||||
7 | Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation | |||||
8 | To have an oral and written communication ability in at least one of the common foreign languages ("European Language Portfolio Global Scale", Level B2) | |||||
9 | Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge | |||||
10 | Follows scientific, cultural, and ethical criteria in collecting, interpreting and announcing data in the research area and has the ability to teach. | |||||
11 | Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 2 | 28 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 3 | 8 | 24 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 125 |