Course Name Code Semester T+U Hours Credit ECTS
Cognitive and Agent Based Systems Engineering ENM 601 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Compulsory
Course Coordinator Doç.Dr. SAFİYE SENCER
Course Lecturers Doç.Dr. SAFİYE SENCER,
Course Assistants
Course Category
Course Objective Systems and Mathematicel Systems Tehory, Multi Stage and Large Scale Systes, Adaptive and Learning Systems and application to Complex Systems.So, analaysis of teh complex systems and agent based design of manufacturing, production and economic systems.
Course Content Systems and Mathematicel Systems Tehory, Multi Stage and Large Scale Systes, Adaptive and Learning Systems, Knowlodge-Based Systems, Cognitive Science, Pattern Recognition, Human-Machine Systems, Computational Intelligence and Methodology, System Methodology and design , Technologies Engineering and Manufacturing Systems, Agent and Agent Technologies, Multi Agent Systems, Physically Distributed System, Case Studies in Large Scale System Design and Agent based Manufacturing
# Course Learning Outcomes Teaching Methods Assessment Methods
1 System and analysis of the system Drilland Practice, Lecture, Question-Answer, Discussion, Testing, Homework,
2 To learn how/where do we use agent modelling Lecture, Discussion, Drilland Practice, Testing, Homework,
3 Agent simulation technics and programmes Lecture, Discussion, Group Study, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to Artificial Intelligence
2 Introduction to Artificial Intelligence
3 An Introduction to Agent Systems
4 An Introduction to Agent Systems
5 Multiagent Systems and Societies of Agents
6 Characteristics of Multiagent Environments
7 Agent Communications
8 From Agent Technology to Manufacturing Practice
9 Agent-Based Modelling
10 Agent-Based Modelling
11 Agents for Planning Scheduling and Control
12 Agent-Based Supply Chain Management
13 Agent Based Social Simulation
14 Agent-Based Simulation
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information.
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ödev 100
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 7 7
Quiz 1 5 5
Assignment 5 5 25
Performance Task (Seminar) 1 5 5
Final examination 1 10 10
Total Workload 148
Total Workload / 25 (Hours) 5.92
dersAKTSKredisi 6