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Cyprus International University
TR

ARTIFICIAL INTELLIGENCE

Course
CPE415 - ARTIFICIAL INTELLIGENCE
Department
Management Information Systems - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Assoc. Prof. Dr. Kamil YURTKAN
Prerequisite
-
Keywords
-

Course Description

-

ARTIFICIAL INTELLIGENCE

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 gain an understanding of the key components of the artificial intelligence (AI)
  2. 02 gain an understanding of the agent-based AI architecture
  3. 03 apply artificial intelligence techniques and classifiers in solving problems of a particular domain
  4. 04 implement basic learning algorithms in machine learning
  5. 05 represent knowledge using various techniques

Course Syllabus

Week Topic
Week 1 Introduction to AI and Problem Solving
Week 2 Intelligent Agents
Week 3 Intelligent Agents
Week 4 Introduction to Machine Learning
Week 5 Introduction to Neural Networks - Perceptron Learning
Week 6 Introduction to Neural Networks - Feed Forward Neural Networks
Week 7 Introduction to Neural Networks - Hopfield Network
Week 8 Uninformed Search Strategies - Breadth First Search, Uniform Cost Search, Depth First Search
Week 9 Uninformed Search Strategies - Breadth First Search, Uniform Cost Search, Depth First Search
Week 10 Midterm Week
Week 11 Midterm Week
Week 12 Informed Search Strategies - Greedy Search , A* Search
Week 13 Informed Search Strategies - Greedy Search , A* Search
Week 14 Representation and Logic - Propositional Logic
Week 15 Representation and Logic - First Order Logic

Reference Books & Course Materials

  1. 01 S. Russell, P. Norvig, "Artificial Intelligence: A Modern Approach", Prentice-Hall, 2003.
  2. 02 Simon Haykin, Neural Networks: A Comprehensive Foundation 2nd Ed. Prentice Hall PTR Upper Saddle River, NJ, USA ©1998 ISBN:0132733501

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
  2. P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
  3. P03 Demonstrate comprehensive understanding of appropriate enterprise frameworks, theories from the MIS to research and assess contemporary issues in the field and related allied fields and disciplines
  4. P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
  5. P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
  6. P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
  7. P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
  8. P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
  9. P09 Apply effective communication skills consistent with the professional environment
  10. P10 Apply effective collaboration skills consistent with the professional environment

Po-Lo Matrix

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