Computational Intelligence 9902 (Spring 2021)

This page contains the course materials and final projects, developed at the University of Guilan for Computational Intelligence course (code 12262111) in Spring 2021 semester. The course presents an introduction to the methods and algorithms of Computational Intelligence, and focuses on the functional concepts and applicable approaches. The topics covered in this course include Soft Computing, Artificial Neural Networks (ANNs), Fuzzy logic, Evolutionary Computation, and Swarm Intelligence. It also discusses the structures of well-known CI methods, such as Ant Colony, Genetic Algorithm, Perceptron Network, and Deep Learning.

📚 Course Contents

• Introduction to Computational Intelligence and Soft Computing
• Artificial Neural Networks
• Cluster Analysis
• Fuzzy Logic and Calculations
• Evolutionary Computation

👨‍🏫 Administrative

• Instructor: Ali Tourani
• TAs:
  • Reza Khan Mohammadi
• Credits: 3
• Time: Tuesdays, 15:30 – 17:00, 17:15 – 18:30
• Location: This semester, classes are held online due to the spread of COVID-19. E-Contents and videos are being continuously shared and updated on the University of Guilan E-Learning website. Online (live) classes are held every second Tuesdays according to the the table below.

📋 Online Classes

#	Date	Status
1	20th Esfand 1399 (10th March 2021) – 18:30 to 20:00	Held
2	17th Farvardin 1400 (6th April 2021) – 18:00 to 19:30	Held
3	1st Ordibehesht 1400 (21th April 2021) – 18:00 to 19:30	Held
4	20th Ordibehesht 1400 (10th May 2021) – 18:30 to 19:30	Held

🔨 Teams and Project Titles

#	Project title	Member(s)
1	Spoken digit classification	970122680033, 9712268100, 980122680047
2	Sign language recognition	9712268105, 960122680104
3	Drowsiness detection	970122680010, 970122680025, 970122680007
4	Social Media Sentiment Analysis	970122681006, 970122680015
5	Chatbot	960122680008, 960122680027
6	Fake news detection	960122680098, 960122680099
7	Face detection	980122680005, 980122680100, 980122680094, 980122680095
8	Breast cancer prediction	970122680099, 980122680042, 980122681010
9	Music genre classification	980122680046, 980122680023, 980122680029
10	Measuring Semantic Textual Similarity	960122681008

⚠️ Project Titles (Deadline: 30th April)

Each studen group can choose one of the available project titles before it is taken by other groups. Project titles should be unique and are assigned to only one group. So, choose a project title and email it with your group number to the lecturer or TA ASAP. Consider that all of the projects should be implemented by Deep Neural Networks approaches. Refer to the practical classes for more information about how to work on a deep learning-based project. You may user Keras, TensorFlow, or PyTorch libraries in Python.

#	Project title	Description
1	Face detection	Image data
2	Music genre classification	Audio data
3	Sales forecasting	Time Series
4	Drowsiness detection	Image data
5	Stock prices prediction	Time Series
6	Social Media Sentiment Analysis	Text
7	Measuring semantic textual similarity	Text
8	Spoken digit classification	Audio data
9	Image captioning	Image & Text
10	Sign language recognition	Image data
11	Chatbot	Text
12	Breast cancer prediction	Image data
13	Fake news detection	Text

🔗 Useful Links

• Introduction to Pytorch
• Binary AND Neural Network
• Simple Convolutional Neural Network)