| INDUSTRIAL ENGINEERING (MS) (THESIS) (ENGLISH) | |||||
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| Qualification Awarded | Program Süresi | Toplam Kredi (AKTS) | Öğretim Şekli | Yeterliliğin Düzeyi ve Öğrenme Alanı | |
| 2 | 120 | FULL TIME |
TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 7 QF-EHEA:Second Cycle TR-NQF-HE, ISCED (1997-2013): |
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| Course Code: | 3028002042 | ||||||||||
| Ders İsmi: | Advanced Artificial Intelligence Applications | ||||||||||
| Ders Yarıyılı: |
Fall Spring |
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| Ders Kredileri: |
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| Language of instruction: | EN | ||||||||||
| Ders Koşulu: | |||||||||||
| Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||||
| Other Recommended Topics for the Course: | |||||||||||
| Type of course: | Anabilim Dalı/Lisansüstü Seçmeli | ||||||||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||||||||
| Course Coordinator : | Dr.Öğr.Üyesi Elif TARAKÇI | ||||||||||
| Course Lecturer(s): | |||||||||||
| Course Assistants: |
| Course Objectives: | To introduce different artificial intelligence approaches and basic concepts within the framework of symbolic and non-symbolic artificial intelligence. |
| Course Content: | Problem solving by search with intelligent power, directed/undirected search methods, discovery, rule saturation, information and inference, first-level logic and inference, machine learning, optional topics: neural networks, natural computation. |
The students who have succeeded in this course;
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| Week | Subject | Related Preparation |
| 1) | Intelligent powers. Problem solving with search. | Lecture Notes |
| 2) | Directed/undirected search and discovery | Lecture Notes |
| 3) | Local search, non-deterministic-move, and search in partial tractability cases | Lecture Notes |
| 4) | Adversarial search. Rule saturation | Lecture Notes |
| 5) | Logical powers. First-order logic | Lecture Notes |
| 6) | Inference with first-order logic | Lecture Notes |
| 7) | Planning and acting in the real world | Lecture Notes |
| 8) | Midterm | |
| 9) | Knowledge representation | Lecture Notes |
| 10) | Fuzzy information and inference. Probabilistic inference. | Lecture Notes |
| 11) | Making simple and complex decisions | Lecture Notes |
| 12) | Learning from examples. Knowledge in learning. | Lecture Notes |
| 13) | Learning with probabilistic models. Supported learning | Lecture Notes |
| 14) | Optional topics | Lecture Notes |
| 15) | Review | Lecture Notes |
| 16) | Final exam |
| Course Notes / Textbooks: | Ders Notları/Lecture Notes |
| References: | Artificial Intelligence : A Modern Approach (Second Edition), Stuart Russell and Peter Norvig, Prentice-Hall, 2003, ISBN: 0-13-790395 Ant Colony Optimization, Marco Dorigo and Thomas Stützle, MIT Press, 2004. ISBN: 0-262-04219-3. Artificial Intelligence, Patrick H. Winston, Addison-Wesley, 1992. ISBN: 0-201-533774. |
| Ders Öğrenme Kazanımları | 1 |
2 |
3 |
4 |
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| Program Outcomes | |||||||||||
| 1) He/she reaches knowledge in depth and breadth by conducting scientific research in his/her field, evaluates, interprets and applies knowledge. | |||||||||||
| 2) Has comprehensive knowledge of current techniques and methods applied in engineering and their limitations. | |||||||||||
| 3) Using uncertain, limited or incomplete data, completes and applies knowledge with scientific methods; can use knowledge from different disciplines together. | |||||||||||
| 4) He/she is aware of new and developing applications of his/her profession and examines and learns them when needed. | |||||||||||
| 5) Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions. | |||||||||||
| 6) Develops new and/or original ideas and methods; designs complex systems or processes and develops innovative/alternative solutions in their designs. | |||||||||||
| 7) Designs and implements theoretical, experimental and modeling-based research; examines and solves complex problems encountered in this process. | |||||||||||
| 8) Can work effectively in interdisciplinary and multidisciplinary teams, can lead such teams and develop solution approaches in complex situations; can work independently and take responsibility. | |||||||||||
| 9) Communicates verbally and in writing using a foreign language at least at the European Language Portfolio B2 General Level. | |||||||||||
| 10) Communicates the processes and results of his/her studies systematically and clearly in writing or orally in national and international environments within or outside that field. | |||||||||||
| 11) He/she knows the social, environmental, health, safety, legal dimensions of engineering practices as well as project management and business life applications and is aware of the limitations these impose on engineering practices. | |||||||||||
| 12) It observes social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. | |||||||||||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | He/she reaches knowledge in depth and breadth by conducting scientific research in his/her field, evaluates, interprets and applies knowledge. | |
| 2) | Has comprehensive knowledge of current techniques and methods applied in engineering and their limitations. | |
| 3) | Using uncertain, limited or incomplete data, completes and applies knowledge with scientific methods; can use knowledge from different disciplines together. | |
| 4) | He/she is aware of new and developing applications of his/her profession and examines and learns them when needed. | |
| 5) | Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions. | |
| 6) | Develops new and/or original ideas and methods; designs complex systems or processes and develops innovative/alternative solutions in their designs. | |
| 7) | Designs and implements theoretical, experimental and modeling-based research; examines and solves complex problems encountered in this process. | |
| 8) | Can work effectively in interdisciplinary and multidisciplinary teams, can lead such teams and develop solution approaches in complex situations; can work independently and take responsibility. | |
| 9) | Communicates verbally and in writing using a foreign language at least at the European Language Portfolio B2 General Level. | |
| 10) | Communicates the processes and results of his/her studies systematically and clearly in writing or orally in national and international environments within or outside that field. | |
| 11) | He/she knows the social, environmental, health, safety, legal dimensions of engineering practices as well as project management and business life applications and is aware of the limitations these impose on engineering practices. | |
| 12) | It observes social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. |
| Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
| Homework |
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 2 | % 30 |
| Midterms | 1 | % 30 |
| Semester Final Exam | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 8 | 112 |
| Homework Assignments | 2 | 3 | 6 |
| Midterms | 1 | 3 | 3 |
| Final | 1 | 3 | 3 |
| Total Workload | 166 | ||