This course is a broad technical introduction to fundamental concepts and techniques in artificial intelligence. Topics include expert systems, rule based systems, knowledge representation, search, planning, managing uncertainty, machine learning, and neural networks. Important current application areas of artificial intelligence, such as computer vision, robotics, natural language understanding, and intelligent agents, will be discussed.
Artificial Intelligence (CS 404)
2020 Spring
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
3
6
Ayşe Berrin Yanıkoğlu berrin@sabanciuniv.edu,
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English
Undergraduate
CS201
Formal lecture
Interactive,Discussion based learning
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| Programs\Type | Required | Core Elective | Area Elective |
| Business Analytics Minor | * | ||
| Computer Science and Engineering | * | ||
| Computer Science and Engineering | * | ||
| Data Science and Analytics | * | ||
| Decision and Behavior Minor | * | ||
| Electronics Engineering | * | ||
| Electronics Engineering | * | ||
| Industrial Engineering | * | ||
| Industrial Engineering (Previous Name: Manufacturing Systems Engineering) | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * | ||
| Mechatronics Engineering | * | ||
| Mechatronics Engineering | * | ||
| Microelectronics | * | ||
| Molecular Biology, Genetics and Bioengineering | * | ||
| Molecular Biology, Genetics and Bioengineering (Pre. Name: Biological Sciences and Bioengineering) | * | ||
| Physics Minor | * | ||
| Telecommunications | * |
CONTENT
OBJECTIVE
To give an elementary and solid understanding of the main foundations of AI.
LEARNING OUTCOMES
- To have an elementary understanding of various fundamental concepts and methods in AI for an intelligent agent.
- To have an elementary and solid understanding of problem solving using search algorithms, and to be able to demonstrate it on various problems.
- To have an elementary and solid understanding of representing knowledge in classical logic, and to apply reasoning/inference methods over logical formulae.
- To have an elementary and solid understanding of reasoning and decision making under uncertainty.
- To have an elementary understanding of an advanced topic in AI.
- To have an understanding of the state-of-the-art AI applications/tools.
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 3
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 4
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4
1. Possess sufficient knowledge of mathematics, science, fundamental engineering, computational methods and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5
2. Identify, define, formulate and solve complex engineering problems while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction and modeling methods for this purpose. 5
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; use information technologies effectively. 5
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling creative current and future requirements. 5
5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics. 5
6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation. 3
7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities. 3
8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession). 5
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 35 |
| Quiz | 45 |
| Assignment | 20 |
RECOMENDED or REQUIRED READINGS
| Textbook |
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig. 3rd Edition. |