CSC583 - ARTIFICIAL INTELLIGENCE ALGORITHMS

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UNIVERSITI TEKNOLOGI MARA
Course Name (English) ARTIFICIAL INTELLIGENCE ALGORITHMS
Course Code CSC583
MQF Credit 3
Course Description The aim of this course is to introduce students to the fundamentals of key intelligent systems technologies including expert systems, neural networks, fuzzy systems, evolutionary computation and swarm intelligence. Besides that, the students will also be familiarized with the integration of intelligent systems technologies for science and engineering applications
Transferable Skills Demonstrate ability to understand and apply artificial intelligence methods in solving real-world problems.
Teaching Methodologies Lectures, Lab Work, Discussion
CLO
CLO1 Explain concepts of artificial intelligence algorithms on scientific problems.
CLO2 Display interpersonal skills in a group project related to artificial intelligence algorithms.
CLO3 Perform practical skills related to artificial intelligence algorithms.
Pre-Requisite Courses No course recommendations
Reading List
Reference Book Resources
  • Wolfgang Ertel 2018, Introduction to Artificial Intelligence, Springer [ISBN: 3319584863]
  • Ethem Alpaydin 2020, Introduction to Machine Learning, fourth edition, MIT Press [ISBN: 0262043793]
  • Michael Learn 2019, Python Machine Learning For Beginners, Independently Published [ISBN: 1702464148]
  • Andrew Glassner 2021, Deep Learning, No Starch Press [ISBN: 1718500726]
  • Adam Slowik 2020, Swarm Intelligence Algorithms, CRC Press [ISBN: 1138384496]
  • Thomas Baeck 2017, Evolutionary Computation 1, CRC Press [ISBN: 1138413089]
Article/Paper ListThis Course does not have any article/paper resources
Other ReferencesThis Course does not have any other resources