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Course Description Course Name : Autonomous Agents and Multiagent Systems Course Code : EM-552 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Instructor CENK ŞAHİN Learning Outcomes of the Course : Learns the basic elements of autonomous agents Desings and develops agent-based applications Learns some agent programming languages Learns PROMETHEUS Methodology Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : This course provides a broad introduction to autonomous agents with an emphasis on multiagent systems and focuses on all aspects of developing agent-based applications. PROMETHEUS methodology which has proven effective in assisting students and practitioners to develop and document their design will be introduced. This course also covers agent programming languages (BDI programming languages such as JACK and JADE) and applications of intelligent agents. Course Contents : Agents and Multi-Agent Systems, Concepts for Building Agents, Overview of the PROMETHEUS Methodology, System Specification, Architectural Design: Specifying the Agent Types Diagrams, Finalizing the Architectural Design, Detailed Design: Agents, Capabilities and Processes, Agent-Based Programming Languages, Implementing Agent Systems, Language of Instruction : English Work Place : Classroom, Laboratory   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to Agents and Multi-Agent Systems I Reading lecture notes and references about the subject Lecture, laboratory 2 Agents and Multi-Agent Systems II Reading lecture notes and references about the subject Lecture, laboratory 3 Concepts for Building Agents I Reading lecture notes and references about the subject Lecture, laboratory 4 Concepts for Building Agents II Reading lecture notes and references about the subject Lecture, laboratory 5 Overview of the PROMETHEUS Methodology Reading lecture notes and references about the subject Lecture, laboratory 6 Overview of the PROMETHEUS Methodology II Reading lecture notes and references about the subject Lecture, laboratory 7 System Specification I Reading lecture notes and references about the subject Lecture, laboratory 8 System Specification II Reading lecture notes and references about the subject Lecture, laboratory 9 Midterm Study for exam Written Exam 10 Architectural Design: Specifying the Agent Types Diagrams Reading lecture notes and references about the subject Lecture, laboratory 11 Finalizing the Architectural Design Reading lecture notes and references about the subject Lecture, laboratory 12 Detailed Design: Agents, Capabilities and Processes Reading lecture notes and references about the subject Lecture, laboratory 13 Agent-Based Programming Languages Reading lecture notes and references about the subject Lecture, laboratory 14 Implementing Agent Systems I Reading lecture notes and references about the subject Lecture, laboratory 15 Implementing Agent Systems II Reading lecture notes and references about the subject Lecture, laboratory 16/17 Final Exam Study for exam Written Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  L. Padgham,M. Winikoff,2004, Developing Intelligent Agent Systems A Practical Guide  F. L. Bellifemine, G. Caire, D. Greenwood, 2007, Developing Multi Agent Systems With Jade.  M Wooldridge , 2009, An Introduction to Multiagent Systems. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 80     Homeworks/Projects/Others 2 20 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. 4 2 Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. 5 3 Work in multi-disciplinary teams and take a leading role and responsibility. 4 4 Identify, gather and use necessary information and data. 5 5 Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. 4 6 Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. 5 7 Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. 4 8 Analyze Industrial Engineering problems, develop innovative methods to solve the problems. 5 9 Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. 5 10 Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. 4 11 Follow, study and learn new and developing applications of industrial engineering. 5 12 Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. 4 13 Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. 4 14 Understand social and environmental implications of engineering practice. 3 15 Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. 4 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 2 10 20     Mid-term Exams (Written, Oral, etc.) 1 20 20     Final Exam 1 20 20 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6