Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
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| Knowledge
(Described as Theoritical and/or Factual Knowledge.)
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1) Understand the fundamental concepts of knowledge based reasoning.
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2) Know the fundamental concepts of agents and applications of agent theory to different domains.
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| Skills
(Describe as Cognitive and/or Practical Skills.)
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1) Formulate an efficient problem space for a problem expressed in English by expressing that problem space in terms of states, operators, and initial state, and a description of goal state.
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2) Select an appropriate search algorithm (i.e. brute-force, heuristic) for a problem, implement it, and characterize its time and space complexities.
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3) Know (be able to explain the differences between and implement simple algorithms of) three main styles of learning: supervised, reinforcement and unsupervised.
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4) Apply concepts of artificial intelligence to different domains including games and puzzles, expert systems, planning, learning, vision, robotics and natural language understanding.
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5) Program small scale artificial intelligence applications using Prolog.
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| Competences
(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
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| Week |
Subject |
Materials Sharing * |
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Related Preparation |
Further Study |
| 1) |
Introduction to Artificial Intelligence, the history and foundations of artificial intelligence |
Reading assignment, preparatory study
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| 2) |
Intelligent agents, assignment of projects |
Reading assignment, preparatory study
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| 3) |
Arayarak problem çözme |
Reading assignment, preparatory study.
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| 4) |
Sezgisel Arama |
Reading assignment, preparatory study
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| 5) |
Yerel arama |
Reading assignment, preparatory study
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| 6) |
Adversarial Search |
Reading assignment, preparatory study
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| 7) |
Midterm |
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| 8) |
Genetic Algorithms |
Reading assignment, preparatory study
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| 9) |
Introduction to Machine Learning |
Reading assignment, preparatory study
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| 10) |
Supervised Learning: Classification Algorithms, Linear Regression, Decision Trees |
Reading assginment, preparatory study
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| 11) |
Supervised Learning: Artificial Neural Networks, k-Nearest Neighbor Algorithm, Learning Vector Quantization |
Reading assignment, preparatory study
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| 12) |
Unsupervised Learning: Clustering Algorithms, k-Means Algorithm, Hierarchical Clustering |
Reading assignment, preparatory study
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| 13) |
Fuzzy Logic |
Reading assignment, preparatory study
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| 14) |
Genetic Algorithms |
Reading assignment, preparatory study
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| 15) |
Review of term |
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(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
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Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
1) |
Uses and applies theoretical and applied sciences in the field of basic science subjects for the solution of computer engineering problems. |
5 |
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1.1 Has sufficient knowledge in mathematics, science, computer science and computer engineering; use theoretical and applied knowledge in these fields together to solve computer engineering problems |
5 |
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2) |
Analyzes computer engineering applications, designs and develops models to meet specific requirements under realistic constraints and conditions. For this purpose, selects and uses appropriate methods, tools and technologies. |
5 |
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2.1 Identify, define, formulate and solve complex computer engineering problems; for this purpose select and apply appropriate analytical and modeling methods |
5 |
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2.2 Designs a complex computer and software based system, process, device or product to meet certain requirements under realistic constraints and conditions, including economics, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues; For this purpose, it applies modern design methods. |
5 |
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2.3 Selects and effectively uses modern techniques and tools and information technologies required for computer science and computer engineering applications. |
4 |
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2.4 Designs and conducts experiments, collects data, analyzes and interprets the results for the study of computer science and computer engineering problems and research topics. |
4 |
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3) |
Owns the competencies required by the constantly developing field of computer engineering and the global competitive environment. |
1 |
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3.1 Works effectively individually and in multi-disciplinary teams, takes responsibility. |
1 |
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3.2 Accesses the information and for this purpose searches for resources, uses databases and other information resources. |
1 |
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3.3 Awares of the necessity of lifelong learning, follows developments in science and technology and renews itself continuously. |
3 |
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3.4 Communicates effectively in Turkish, both orally and in writing, has at least one foreign language knowledge at the level of European Language Portfolio B1. |
1 |
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3.5 Manage projects, has conscious of workplace practices, employee health, environmental and work safety; aware of the legal consequences of engineering applications. |
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3.6 Has awareness of the universal and social effects of engineering solutions and applications; has awareness of entrepreneurship and innovativeness and knowledgeable about contemporary issues. |
1 |
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3.7 Has professional and ethical responsibility. |
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3.8 Has information about the standards used in computer engineering applications. |
4 |
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3.9 Has quality consciousness. |
2 |
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3.10 Has the capacity to work in at least one of the important application areas of computer science and computer engineering. |
5 |
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4) |
Applies the theoretical knowledge in business life during a semester. |
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4.1 Experiences all processes in business life. |
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4.2 Takes part in activities related to the field of education in a business operating in the field. |
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4.3 Questions the application with theoretical knowledge. |
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4.4 Compiles the knowledge and experience gained in the field. |
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5) |
S/he acquires the competencies that develop by the expectations of business world and the society defined as the institutional outcomes of our university on the advanced level in relation with his/her field. |
4 |
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5.1 Acquires the analyzing solving the problems and managing the conflicts. |
4 |
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5.2 Participates as a team member and takes responsibility in the environments that require the solving of the conflicts and acts as a leader when necessary. |
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5.3 Has awareness for ethical and social responsivity. |
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5.4 By supporting the learnt courses with quantitative and qualitative data; and by using verbal and visual communication means, s/he transfers them to the groups within and outside his/her group in a systematical and effective way. |
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5.5 Evaluates the norms and standards present in the works in which s/he takes responsibility in a critical point of view. |
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5.6 Develops strategical, innovative and entrepreneurial ideas. |
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5.7 Acquires competence of managing the change. |
1 |
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5.8 Shows development personally and socially with and awareness for lifelong learning. |
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5.9 Follows advanced technologies and developments about digital transformation. |
4 |
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5.10 Has cultural awareness and s/he transfers this to the groups within and outside his/her field. |
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5.11 Has awareness about citizenship competency. |
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5.12 Acquires communication in a Foreign Language (English) competence defined on the level of at least B1 in European Language Portfolio. (In programs whose medium of instruction is English, on the level of B2/B2+). |
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ECTS Information Package / Course Catalogue